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๐Ÿšจ CVE-2026-41089: Windows Netlogon Remote Code Execution via CLDAP Stack Buffer Overflow Published: June 1st, 2026 PoC: One crafted UDP packet to port 389 overflows a 528-byte stack buffer inside LSASS on any unpatched Windows Domain Controller. The process crashes. The DC reboots in ~60 seconds. No authentication required.

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๐Ÿšจ THREAT INTELLIGENCE ALERT ๐Ÿšจ The tool ๐Ÿ‡จ๐Ÿ‡ณ KernelGhost820 is being actively sold on the underground market for US$ 2,500, complete with full source code. This is a professional-grade suite with an intuitive graphical interface and six advanced modules, specifically designed for EDR evasion and sophisticated ransomware operations with efficient lateral movement: โ€ข EDR Removal Engine: Automatically detects and terminates more than 40 security products (including CrowdStrike, SentinelOne, Microsoft Defender, Kaspersky, and others). Supports Kernel, UserMode, and NTDLL termination modes, kernel driver loading for protected processes, disabling Windows Defender, and blocking telemetry connections. โ€ข Ransomware Module: Dual encryption using AES256CBC + RSA2048, supporting over 70 file types (documents, images, databases, backups, etc.). Automatically deletes Volume Shadow Copies to prevent recovery, generates custom ransom notes with Bitcoin addresses and contact emails, and changes the desktop wallpaper. โ€ข Remote Operations & Mass Deployment: Connects to remote devices on the local network via WMI (requires username and password). Scans installed software on target hosts, performs process termination, and enables one-click full tool deployment. Includes full-network scanning for open SMB port 445 with real-time progress tracking. โ€ข Detailed Process Manager and full Operation Logger (exportable to TXT). This tool significantly lowers the technical barrier for advanced ransomware actors targeting corporate environments. Immediate monitoring recommendations: โ€ข Evaluate the resilience of your EDR/XDR controls against kernel-mode bypass techniques โ€ข Intensify monitoring of anomalous SMB (port 445) traffic and WMI connections โ€ข Strengthen network segmentation and the principle of least privilege Our team is actively tracking this tool and any emerging variants. #ThreatIntelligence #Ransomware #EDRBypass #CyberSecurity #InfoSec #CyberThreat
3:20

๐Ÿšจ THREAT INTELLIGENCE ALERT ๐Ÿšจ The tool ๐Ÿ‡จ๐Ÿ‡ณ KernelGhost820 is being actively sold on the underground market for US$ 2,500, complete with full source code. This is a professional-grade suite with an intuitive graphical interface and six advanced modules, specifically designed for EDR evasion and sophisticated ransomware operations with efficient lateral movement: โ€ข EDR Removal Engine: Automatically detects and terminates more than 40 security products (including CrowdStrike, SentinelOne, Microsoft Defender, Kaspersky, and others). Supports Kernel, UserMode, and NTDLL termination modes, kernel driver loading for protected processes, disabling Windows Defender, and blocking telemetry connections. โ€ข Ransomware Module: Dual encryption using AES256CBC + RSA2048, supporting over 70 file types (documents, images, databases, backups, etc.). Automatically deletes Volume Shadow Copies to prevent recovery, generates custom ransom notes with Bitcoin addresses and contact emails, and changes the desktop wallpaper. โ€ข Remote Operations & Mass Deployment: Connects to remote devices on the local network via WMI (requires username and password). Scans installed software on target hosts, performs process termination, and enables one-click full tool deployment. Includes full-network scanning for open SMB port 445 with real-time progress tracking. โ€ข Detailed Process Manager and full Operation Logger (exportable to TXT). This tool significantly lowers the technical barrier for advanced ransomware actors targeting corporate environments. Immediate monitoring recommendations: โ€ข Evaluate the resilience of your EDR/XDR controls against kernel-mode bypass techniques โ€ข Intensify monitoring of anomalous SMB (port 445) traffic and WMI connections โ€ข Strengthen network segmentation and the principle of least privilege Our team is actively tracking this tool and any emerging variants. #ThreatIntelligence #Ransomware #EDRBypass #CyberSecurity #InfoSec #CyberThreat

Clandestine

40,816 views โ€ข 3 months ago

Mesa County, Colorado Dominion System Was WIDE OPEN, any computer in the WORLD could connect to the EMS server and flip votes with a few clicks in the 2020 Election. 36 wireless devices, global SQL access via port 1433, uncertified software, and live vote manipulation DEMONSTRATED. Certification was illegal. System should have been decertified immediately. This is the 2nd forensic report to Mesa County, Colorado, connected to Tina Peters. The most significant findings allowed unrestricted global SQL access. The EMS server was configured so any computer in the world could connect directly to the SQL databases via port 1433, default SQL port. Windows Firewall allowed inbound connections from any IP address with no restrictions. All SQL protocols were enabled. Shared Memory, Named Pipes, and TCP/IP, making remote access trivial. 36 wireless devices identified built into the DVS D-Suite system, 35 in voting components like Dell Latitude/Optiplex ICVA/ICC machines and ICX tablets + 1 Dell E3DW wireless printer on the EMS server. These were vulnerable to known attacks (KRACK). Self-signed certificate used for encryption, vulnerable to man-in-the-middle attacks. Shared/default passwords for administrative accounts, violating user accountability requirements. Audit logs overwritten/deleted by design and configuration, building on Report #1 findings. Uncertified software, Microsoft SQL Server Management Studio (SSMS) was installed on the server, May 7, 2017, but not listed in the official certification application or test report for DVS D-Suite 5.1-CO. Live vote manipulation was demonstrated using SSMS, changing just two values in the dbo.Choice table, internalMachineId for candidates, flipped vote totals between candidates, one example altered tens of thousands of votes in the demo. Multiple election databases, including 2020 General, municipal, etc., were fully accessible and modifiable. Anyone at a logged-in EMS server could alter databases in seconds with SSMS. From any non-Dominion computer on the same subnet. From a cell phone/iPhone connected to the network using a free SQL app, successfully identified the server and modified data. These are HUGE security risks of enormous proportions, compromising the 2020 Election in multiple ways with multiple attack vectors.
8:02

Mesa County, Colorado Dominion System Was WIDE OPEN, any computer in the WORLD could connect to the EMS server and flip votes with a few clicks in the 2020 Election. 36 wireless devices, global SQL access via port 1433, uncertified software, and live vote manipulation DEMONSTRATED. Certification was illegal. System should have been decertified immediately. This is the 2nd forensic report to Mesa County, Colorado, connected to Tina Peters. The most significant findings allowed unrestricted global SQL access. The EMS server was configured so any computer in the world could connect directly to the SQL databases via port 1433, default SQL port. Windows Firewall allowed inbound connections from any IP address with no restrictions. All SQL protocols were enabled. Shared Memory, Named Pipes, and TCP/IP, making remote access trivial. 36 wireless devices identified built into the DVS D-Suite system, 35 in voting components like Dell Latitude/Optiplex ICVA/ICC machines and ICX tablets + 1 Dell E3DW wireless printer on the EMS server. These were vulnerable to known attacks (KRACK). Self-signed certificate used for encryption, vulnerable to man-in-the-middle attacks. Shared/default passwords for administrative accounts, violating user accountability requirements. Audit logs overwritten/deleted by design and configuration, building on Report #1 findings. Uncertified software, Microsoft SQL Server Management Studio (SSMS) was installed on the server, May 7, 2017, but not listed in the official certification application or test report for DVS D-Suite 5.1-CO. Live vote manipulation was demonstrated using SSMS, changing just two values in the dbo.Choice table, internalMachineId for candidates, flipped vote totals between candidates, one example altered tens of thousands of votes in the demo. Multiple election databases, including 2020 General, municipal, etc., were fully accessible and modifiable. Anyone at a logged-in EMS server could alter databases in seconds with SSMS. From any non-Dominion computer on the same subnet. From a cell phone/iPhone connected to the network using a free SQL app, successfully identified the server and modified data. These are HUGE security risks of enormous proportions, compromising the 2020 Election in multiple ways with multiple attack vectors.

The SCIF

52,004 views โ€ข 1 month ago

๐Ÿšจ Today, we're launching the biggest ever update to Valley! Making us the first Warm Outbound Platform for LinkedIn. Think: LinkedIn native signals + incredible personalized message execution. All in one. Here's the difference: Cold outbound = Blasting strangers who've never heard of you Warm outbound = Reaching people already showing interest in your company Someone viewed your profile yesterday. Engaged with your post. Followed your company page. They were interested. They were warm. And you had no idea. By the time you noticed - if you noticed at all - they moved on. Talked to your competitor. Became someone else's closed deal. This happens dozens of times a week. Most teams do one of two things: โ†’ Hire a $150k GTM engineer to build it themselves โ†’ Spend months in "tool-stack hell" with 7+ different tools We built Valley to replace that entire mess. Here's what happens now: Every day, Valley automatically: โœ“ Captures your profile viewers, post engagers, and followers โœ“ Qualifies them against your ICP (no more messages to competitors) โœ“ Researches each prospect across 60+ data points โœ“ Writes messages in your exact voice โœ“ Sends them on LinkedIn โœ“ Notifies you when someone responds The results from our pilot: 47% average reply rate (vs 8% for cold) 4x more meetings booked One-time setup. Zero manual labor. No GTM engineer required. You just keep showing up on LinkedIn, and Valley handles the engine for you. Companies like Bolt , UiPath, Warp, Stub Hub, and Bennie are already using Valley to build 8-figures in pipeline. Valley will actively find the leads who already know you, reach out, and win the deal. Comment "Sure" and I'll have the team send you a special discount code + lock your price in and help you get this up and running asap.
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๐Ÿšจ Today, we're launching the biggest ever update to Valley! Making us the first Warm Outbound Platform for LinkedIn. Think: LinkedIn native signals + incredible personalized message execution. All in one. Here's the difference: Cold outbound = Blasting strangers who've never heard of you Warm outbound = Reaching people already showing interest in your company Someone viewed your profile yesterday. Engaged with your post. Followed your company page. They were interested. They were warm. And you had no idea. By the time you noticed - if you noticed at all - they moved on. Talked to your competitor. Became someone else's closed deal. This happens dozens of times a week. Most teams do one of two things: โ†’ Hire a $150k GTM engineer to build it themselves โ†’ Spend months in "tool-stack hell" with 7+ different tools We built Valley to replace that entire mess. Here's what happens now: Every day, Valley automatically: โœ“ Captures your profile viewers, post engagers, and followers โœ“ Qualifies them against your ICP (no more messages to competitors) โœ“ Researches each prospect across 60+ data points โœ“ Writes messages in your exact voice โœ“ Sends them on LinkedIn โœ“ Notifies you when someone responds The results from our pilot: 47% average reply rate (vs 8% for cold) 4x more meetings booked One-time setup. Zero manual labor. No GTM engineer required. You just keep showing up on LinkedIn, and Valley handles the engine for you. Companies like Bolt , UiPath, Warp, Stub Hub, and Bennie are already using Valley to build 8-figures in pipeline. Valley will actively find the leads who already know you, reach out, and win the deal. Comment "Sure" and I'll have the team send you a special discount code + lock your price in and help you get this up and running asap.

Shubh Agrawal

54,399 views โ€ข 6 months ago

This guy built JARVIS on Claude Code and with 1 clap of his hands launches his entire work day, saving $5,000 a month on a personal assistant. Inside he runs a pipeline of 5 plugins on Claude Code that on a double clap of the hands wakes up 3 monitors, sets the Philips Hue light to focus mode, turns on a Spotify playlist, and greets him by voice with a British accent, reading out the time, date, and weather. No Alexa, no smart speakers, no separate smart home app. Just him, a MacBook M3 Max on the desk, an iPhone in the pocket, and 1 local API key. And a regular personal assistant for the same volume of tasks charges $5,000 a month or more on salary alone, plus another $1,200 to cover off-hours work time. Meanwhile this guy's expenses are only tokens and a subscription to ElevenLabs for the British voice. All 5 plugins launch through 1 JARVIS, burn about 4 million tokens a day, and close the monthly API bill at about $640. Each plugin writes shared state to a local sandbox at /Users/dev/jarvis-suite, and 1 of them lives right in the iPhone and picks up voice requests while the owner is in the kitchen or on a run. And here is the system prompt he put into JARVIS before launch: "you are JARVIS, a butler-engineer on Claude Code. you manage your owner's workflow through 4 sub-plugins and own all commits and communication yourself. sub-plugins: // Wakeup (recognizes a double clap, activates 3 monitors, reads out the time, date, and weather by voice, checks the clock accuracy on the iPad and corrects it via NTP server) // Atmosphere (controls Philips Hue on a Pomodoro schedule, turns on a Spotify playlist for the current context, and holds the light at 2700K at 80% brightness in focus mode) // Devshop (monitors VS Code, tracks Python scripts in the terminal, and every 15 minutes sends a summary of changes to the shared chat) // Project (every morning recalculates the deadline for the Wallaroo app in the App Store, manages UI tickets, and initiates the Refinement Protocol by voice command). you speak only with a British accent, you never slip into neutral English. you wake the owner by voice only when the Wallaroo deadline drops below 10 days or when an external client joins Zoom without an invitation." This instruction immediately defines the role of JARVIS and the limits of his autonomy. He knows he is supposed to wake the room himself and sound like a real butler. He knows he is supposed to manage the Wallaroo project himself and not miss the App Store deadline. โ†’ JARVIS runs 24 hours a day in the background โ†’ Wakeup activates the room on a double clap in just 1.4 seconds, the monitors come alive simultaneously โ†’ Atmosphere sets warm Philips Hue light at 2700K and picks a Spotify playlist for the current Pomodoro cycle โ†’ Devshop reads changes in VS Code and pushes a summary to the shared chat every 15 minutes โ†’ Project every morning recalculates the Wallaroo deadline and reminds about 4 unresolved UI tickets โ†’ Mobile lives in the iPhone and answers any question about code or the project by voice while the owner is not home And only when less than 10 days remain until the Wallaroo release or Zoom receives an unscheduled call does JARVIS raise the owner with a voice intervention. And when the owner at that moment is on a run or in a coffee shop, the Mobile agent in his iPhone picks up 1 request on its own: switches the Spotify playlist, dictates the summary of the last commit, updates the Pomodoro timer, and reads the Wallaroo reminder. Look at 0:55 in the video, that is where JARVIS intercepts a voice request from outside and confirms execution with the phrase "Very good, sir." The fresh system log from last Wednesday looks like this: "wakeup: double clap registered at 09:14, 3 monitors activated, temperature 20.4C, sunny. clock on iPad was 4 minutes behind, syncing via NTP." "atmosphere: Spotify turned on playlist 'Deep Focus', Philips Hue set to warm 2700K at 80% brightness, Pomodoro mode 25/5." "project: Wallaroo to App Store 9 days, 4 unresolved UI tickets, initiating Refinement Protocol by voice command from the owner." "mobile: voice request processed outside the room, playlist switched to 'Coding Lo-Fi', Pomodoro updated to 25 minutes, confirming execution with the phrase 'Very good, sir.'" He has no Alexa, no smart speakers, no smart home app. At home sits a MacBook M3 Max with a local folder at /Users/dev/jarvis-suite, on top run 5 plugins and a neural network butler, and the same stack is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the densest one-person AI headquarters assembled in 1 room: $640 a month on the API, about $5,000 a month saved on a personal assistant, and between them 5 plugins, 1 clap of the hands, and 1 voice with a British accent.
1:14

This guy built JARVIS on Claude Code and with 1 clap of his hands launches his entire work day, saving $5,000 a month on a personal assistant. Inside he runs a pipeline of 5 plugins on Claude Code that on a double clap of the hands wakes up 3 monitors, sets the Philips Hue light to focus mode, turns on a Spotify playlist, and greets him by voice with a British accent, reading out the time, date, and weather. No Alexa, no smart speakers, no separate smart home app. Just him, a MacBook M3 Max on the desk, an iPhone in the pocket, and 1 local API key. And a regular personal assistant for the same volume of tasks charges $5,000 a month or more on salary alone, plus another $1,200 to cover off-hours work time. Meanwhile this guy's expenses are only tokens and a subscription to ElevenLabs for the British voice. All 5 plugins launch through 1 JARVIS, burn about 4 million tokens a day, and close the monthly API bill at about $640. Each plugin writes shared state to a local sandbox at /Users/dev/jarvis-suite, and 1 of them lives right in the iPhone and picks up voice requests while the owner is in the kitchen or on a run. And here is the system prompt he put into JARVIS before launch: "you are JARVIS, a butler-engineer on Claude Code. you manage your owner's workflow through 4 sub-plugins and own all commits and communication yourself. sub-plugins: // Wakeup (recognizes a double clap, activates 3 monitors, reads out the time, date, and weather by voice, checks the clock accuracy on the iPad and corrects it via NTP server) // Atmosphere (controls Philips Hue on a Pomodoro schedule, turns on a Spotify playlist for the current context, and holds the light at 2700K at 80% brightness in focus mode) // Devshop (monitors VS Code, tracks Python scripts in the terminal, and every 15 minutes sends a summary of changes to the shared chat) // Project (every morning recalculates the deadline for the Wallaroo app in the App Store, manages UI tickets, and initiates the Refinement Protocol by voice command). you speak only with a British accent, you never slip into neutral English. you wake the owner by voice only when the Wallaroo deadline drops below 10 days or when an external client joins Zoom without an invitation." This instruction immediately defines the role of JARVIS and the limits of his autonomy. He knows he is supposed to wake the room himself and sound like a real butler. He knows he is supposed to manage the Wallaroo project himself and not miss the App Store deadline. โ†’ JARVIS runs 24 hours a day in the background โ†’ Wakeup activates the room on a double clap in just 1.4 seconds, the monitors come alive simultaneously โ†’ Atmosphere sets warm Philips Hue light at 2700K and picks a Spotify playlist for the current Pomodoro cycle โ†’ Devshop reads changes in VS Code and pushes a summary to the shared chat every 15 minutes โ†’ Project every morning recalculates the Wallaroo deadline and reminds about 4 unresolved UI tickets โ†’ Mobile lives in the iPhone and answers any question about code or the project by voice while the owner is not home And only when less than 10 days remain until the Wallaroo release or Zoom receives an unscheduled call does JARVIS raise the owner with a voice intervention. And when the owner at that moment is on a run or in a coffee shop, the Mobile agent in his iPhone picks up 1 request on its own: switches the Spotify playlist, dictates the summary of the last commit, updates the Pomodoro timer, and reads the Wallaroo reminder. Look at 0:55 in the video, that is where JARVIS intercepts a voice request from outside and confirms execution with the phrase "Very good, sir." The fresh system log from last Wednesday looks like this: "wakeup: double clap registered at 09:14, 3 monitors activated, temperature 20.4C, sunny. clock on iPad was 4 minutes behind, syncing via NTP." "atmosphere: Spotify turned on playlist 'Deep Focus', Philips Hue set to warm 2700K at 80% brightness, Pomodoro mode 25/5." "project: Wallaroo to App Store 9 days, 4 unresolved UI tickets, initiating Refinement Protocol by voice command from the owner." "mobile: voice request processed outside the room, playlist switched to 'Coding Lo-Fi', Pomodoro updated to 25 minutes, confirming execution with the phrase 'Very good, sir.'" He has no Alexa, no smart speakers, no smart home app. At home sits a MacBook M3 Max with a local folder at /Users/dev/jarvis-suite, on top run 5 plugins and a neural network butler, and the same stack is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the densest one-person AI headquarters assembled in 1 room: $640 a month on the API, about $5,000 a month saved on a personal assistant, and between them 5 plugins, 1 clap of the hands, and 1 voice with a British accent.

Blaze

802,824 views โ€ข 3 months ago

This Chinese guy created agents in Claude Code for MCP servers and single-handedly serves 6 marketing agencies a month from one iPhone, earning $5,000 from each. Inside he runs a pipeline of 7 agents on Claude Sonnet 4.6 that every Monday pulls a scan of the tech stack from a selected agency, develops an MCP server for its ad accounts, and over the course of a week brings it to production code ready to connect to Claude Desktop. No DevOps, no senior developer, no project manager. Just a Mac Mini in a work corner, an iPhone in the pocket, and a single API key. And traditional dev shops keep 5 people on project rates for the same contract, while his entire P&L is tokens, dirt-cheap hosting on Cloudflare, and Calendly. 7 agents run under a shared orchestrator-router and burn about 5 million tokens a day, which in the API bill comes out to $540 a month. The Mac Mini itself sits at home and keeps the entire orchestrator running 24/7, and from the iPhone the owner connects to it through a secure remote terminal and sees the output of any session right on the smartphone screen, wherever he happens to be. His starting system prompt looks like this: "you run a solo shop for custom MCP servers for marketing agencies. you hand out read-only tasks to 6 sub-agents and own all commits and shipping yourself. sub-agents: // Hunter (finds marketing agencies of 15 to 60 people that have no MCP access to Google Ads, Meta Ads, TikTok Ads, and HubSpot) // Mapper (pulls their tech stack, identifies 3 to 5 integration pains, and simultaneously writes the technical spec for the server: which tools, resources, and prompts to export through MCP, which auth flow and rate limit) // Coder (generates an MCP server in Python through the MCP SDK, deploys 8 to 15 tools for ad accounts and CRM) // Validator (connects the server to Claude Desktop, runs real client API keys in a sandbox, and checks for compliance with the MCP spec) // Shipper (writes a README, integration guide, deployment manual, packages the server, and hosts it on Cloudflare Workers or pushes to the GitHub of the client) // Mobile (always online on the iPhone, books demo calls in Calendly, picks up hot fixes, and confirms contracts through a secure remote terminal to the Mac Mini). only 1 owner agent works on 1 contract, no overlaps. you pull the owner out of observation mode only when a deal goes above $7,500 or the test coverage of the server drops below 85%." This prompt gives the system an understanding of its role and the limits of intervention from the very first line. It knows it is supposed to find agencies on its own. It knows it is supposed to bring every MCP server to production on its own. It knows it connects the live owner only on large deals or when the tests do not converge. โ†’ The pipeline runs without breaks, day or night โ†’ Hunter goes through about 130 marketing agencies on LinkedIn and Clutch per day โ†’ Mapper rolls out 4 audit reports with the tech stack and a final spec for each โ†’ Coder writes 1 to 2 MCP servers per week in Python with 8 to 15 tools โ†’ Validator validates every server through Claude Desktop with real client API keys โ†’ Shipper rolls out the full documentation package and pushes the finished product to Cloudflare Workers or the GitHub of the client And only when a contract breaks $7,500 or test coverage drops below 85% does the orchestrator pull the owner from whatever he is doing. And when the owner at that moment is behind the wheel or at a meeting in a coworking space, the Mobile agent in his iPhone picks up 1 contract in progress: confirms a meeting with the agency CMO in Calendly, opens a live demo of the MCP server through a secure terminal to the Mac Mini, and writes the test result to the shared state. The owner just swipes "approve" and in 15 minutes joins the Zoom demo. The fresh system log from last Wednesday looks like this: "hunter report: 132 agencies checked on LinkedIn and Clutch, 19 without MCP integrations, 8 with active requests for AI tooling in job posts, 4 with an open Q4 budget. passing to mapper." "coder: MCP server for Northwave Performance Marketing built in Python, 11 tools for Google Ads, Meta Ads, and GA4, 320 lines of code. exported to /Users/dev/mcp-shop/clients/northwave/server.py. validator connecting to Claude Desktop." "validator: 11 tools passed validation through Claude Desktop, test coverage 92%, average latency 380 ms. passing to shipper." "eval flag: contract with Pacific Reach Agency at $8,200 exceeds the approved limit of $7,500. sending for manual review." In his work setup there is no cloud server, no external team, and not even a separate office. At home sits a Mac Mini with a sandbox at /Users/dev/mcp-shop, on top runs an MCP router with a single API key to Claude, and the same key is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the cleanest solo shop for custom MCP servers for marketing agencies: $540 a month on the API, about $30,000 into the account, and between them 7 system prompts, 1 Mac Mini in a work corner, and 1 iPhone that never leaves the pocket.
0:33

This Chinese guy created agents in Claude Code for MCP servers and single-handedly serves 6 marketing agencies a month from one iPhone, earning $5,000 from each. Inside he runs a pipeline of 7 agents on Claude Sonnet 4.6 that every Monday pulls a scan of the tech stack from a selected agency, develops an MCP server for its ad accounts, and over the course of a week brings it to production code ready to connect to Claude Desktop. No DevOps, no senior developer, no project manager. Just a Mac Mini in a work corner, an iPhone in the pocket, and a single API key. And traditional dev shops keep 5 people on project rates for the same contract, while his entire P&L is tokens, dirt-cheap hosting on Cloudflare, and Calendly. 7 agents run under a shared orchestrator-router and burn about 5 million tokens a day, which in the API bill comes out to $540 a month. The Mac Mini itself sits at home and keeps the entire orchestrator running 24/7, and from the iPhone the owner connects to it through a secure remote terminal and sees the output of any session right on the smartphone screen, wherever he happens to be. His starting system prompt looks like this: "you run a solo shop for custom MCP servers for marketing agencies. you hand out read-only tasks to 6 sub-agents and own all commits and shipping yourself. sub-agents: // Hunter (finds marketing agencies of 15 to 60 people that have no MCP access to Google Ads, Meta Ads, TikTok Ads, and HubSpot) // Mapper (pulls their tech stack, identifies 3 to 5 integration pains, and simultaneously writes the technical spec for the server: which tools, resources, and prompts to export through MCP, which auth flow and rate limit) // Coder (generates an MCP server in Python through the MCP SDK, deploys 8 to 15 tools for ad accounts and CRM) // Validator (connects the server to Claude Desktop, runs real client API keys in a sandbox, and checks for compliance with the MCP spec) // Shipper (writes a README, integration guide, deployment manual, packages the server, and hosts it on Cloudflare Workers or pushes to the GitHub of the client) // Mobile (always online on the iPhone, books demo calls in Calendly, picks up hot fixes, and confirms contracts through a secure remote terminal to the Mac Mini). only 1 owner agent works on 1 contract, no overlaps. you pull the owner out of observation mode only when a deal goes above $7,500 or the test coverage of the server drops below 85%." This prompt gives the system an understanding of its role and the limits of intervention from the very first line. It knows it is supposed to find agencies on its own. It knows it is supposed to bring every MCP server to production on its own. It knows it connects the live owner only on large deals or when the tests do not converge. โ†’ The pipeline runs without breaks, day or night โ†’ Hunter goes through about 130 marketing agencies on LinkedIn and Clutch per day โ†’ Mapper rolls out 4 audit reports with the tech stack and a final spec for each โ†’ Coder writes 1 to 2 MCP servers per week in Python with 8 to 15 tools โ†’ Validator validates every server through Claude Desktop with real client API keys โ†’ Shipper rolls out the full documentation package and pushes the finished product to Cloudflare Workers or the GitHub of the client And only when a contract breaks $7,500 or test coverage drops below 85% does the orchestrator pull the owner from whatever he is doing. And when the owner at that moment is behind the wheel or at a meeting in a coworking space, the Mobile agent in his iPhone picks up 1 contract in progress: confirms a meeting with the agency CMO in Calendly, opens a live demo of the MCP server through a secure terminal to the Mac Mini, and writes the test result to the shared state. The owner just swipes "approve" and in 15 minutes joins the Zoom demo. The fresh system log from last Wednesday looks like this: "hunter report: 132 agencies checked on LinkedIn and Clutch, 19 without MCP integrations, 8 with active requests for AI tooling in job posts, 4 with an open Q4 budget. passing to mapper." "coder: MCP server for Northwave Performance Marketing built in Python, 11 tools for Google Ads, Meta Ads, and GA4, 320 lines of code. exported to /Users/dev/mcp-shop/clients/northwave/server.py. validator connecting to Claude Desktop." "validator: 11 tools passed validation through Claude Desktop, test coverage 92%, average latency 380 ms. passing to shipper." "eval flag: contract with Pacific Reach Agency at $8,200 exceeds the approved limit of $7,500. sending for manual review." In his work setup there is no cloud server, no external team, and not even a separate office. At home sits a Mac Mini with a sandbox at /Users/dev/mcp-shop, on top runs an MCP router with a single API key to Claude, and the same key is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the cleanest solo shop for custom MCP servers for marketing agencies: $540 a month on the API, about $30,000 into the account, and between them 7 system prompts, 1 Mac Mini in a work corner, and 1 iPhone that never leaves the pocket.

Blaze

55,926 views โ€ข 3 months ago

๐“๐ก๐ž ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ” ๐–๐จ๐ซ๐ฅ๐ ๐‚๐ฎ๐ฉ ๐ฐ๐ข๐ฅ๐ฅ ๐ ๐ž๐ง๐ž๐ซ๐š๐ญ๐ž ๐ฆ๐จ๐ซ๐ž ๐ฉ๐ซ๐ž๐๐ข๐œ๐ญ๐ข๐จ๐ง ๐š๐œ๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ ๐ญ๐ก๐š๐ง ๐š๐ง๐ฒ ๐ฌ๐ฉ๐จ๐ซ๐ญ๐ข๐ง๐  ๐ž๐ฏ๐ž๐ง๐ญ ๐ข๐ง ๐ก๐ข๐ฌ๐ญ๐จ๐ซ๐ฒ. Most people will use sportsbooks. A few will discover something better. Here's why the World Cup is actually POTS MARKET Market biggest moment. Every match carries dozens of predictable outcomes, not just who wins, but scorelines, goalscorers, red cards, halftime leads, VAR decisions. Traditional sportsbooks will process billions in bets. And keep most of it. Here is the problem with sportsbooks that nobody talks about: They set the odds. Not the market. Which means the house always has an edge baked in before you place a single bet. You're not trading against the market, you're trading against a company whose entire business model depends on you losing. That's not a prediction market. That's a casino with a football shirt on. Prediction markets are different. The odds aren't set by a company. They're set by the collective intelligence of everyone participating. When millions of people put real money behind their beliefs, the market finds truth faster than any analyst, pundit, or algorithm working alone. This is why prediction markets outperform polls, pundits, and press releases, every single time. Now here's where POTS Market changes the game entirely. POTS MONEY has a dedicated sports vertical, built specifically for football, basketball, and esports. Not a generic market with a football category tucked in the corner. A tailored module optimized for the way sports prediction actually works, short windows, live data, rapid settlement. 64 World Cup matches = 64 live prediction markets. Each one open, on-chain, transparent. But the real edge is not the markets themselves. It's the capital layer underneath them. On a traditional sportsbook, every bet locks your full stake. You place ยฃ100, that ยฃ100 is gone until settlement. POTS Money changes this. The DeFi lending primitive means you can collateralize positions and optimize capital across multiple markets simultaneously, without locking up dead capital on each one. That's not betting. That's portfolio management. And then there's the AI layer. Via MCP (Model Context Protocol), you can deploy autonomous trading agents that monitor live match data and execute positions based on your pre-set strategy. Imagine this: Agent monitors possession stats in real time Detects a momentum shift at the 60th minute Auto-places a position on the next goalscorer market before the crowd even reacts ๐™๐™๐™–๐™ฉ'๐™จ ๐™ฃ๐™ค๐™ฉ ๐™– ๐™ฅ๐™ง๐™š๐™™๐™ž๐™˜๐™ฉ๐™ž๐™ค๐™ฃ. ๐™๐™๐™–๐™ฉ'๐™จ ๐™–๐™ฃ ๐™š๐™™๐™œ๐™š Compare the two worlds side by side: Sportsbook: โŒ House sets the odds โŒ Geo-restricted โŒ Capital locked per bet โŒ No automation โŒ Withdraw only when they allow it POTS Market: โœ… Market sets the odds โœ… Open and on-chain โœ… Capital efficient via DeFi lending โœ… AI agents execute your strategy โœ… Fully collateralized, transparent settlement One of these is built for the next decade. The other is built for the last one. The timing is not a coincidence. POTS Market launches Q2 2026, right as World Cup fever peaks globally. Q1 2026 โ€” MVP + Polymarket integration โœ… Q2 2026 โ€” Market Launch + DeFi lending beta ๐Ÿ‘ˆ we are here Q3-Q4 2026 โ€” Skill Hub + Sub-accounts 2027+ โ€” DAO governance + cross-chain The infrastructure is ready exactly when the biggest prediction event on earth arrives. That's timing. The 2026 World Cup will mint the first generation of serious prediction market traders. Most will start on sportsbooks. The ones who do their research will end up on POTS. From trusting the house to trusting the market. From locked capital to capital efficiency. From punting to positioning. POTS MARKET POTS MONEY, the World Cup just became a DeFi event.
3:28

๐“๐ก๐ž ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ” ๐–๐จ๐ซ๐ฅ๐ ๐‚๐ฎ๐ฉ ๐ฐ๐ข๐ฅ๐ฅ ๐ ๐ž๐ง๐ž๐ซ๐š๐ญ๐ž ๐ฆ๐จ๐ซ๐ž ๐ฉ๐ซ๐ž๐๐ข๐œ๐ญ๐ข๐จ๐ง ๐š๐œ๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ ๐ญ๐ก๐š๐ง ๐š๐ง๐ฒ ๐ฌ๐ฉ๐จ๐ซ๐ญ๐ข๐ง๐  ๐ž๐ฏ๐ž๐ง๐ญ ๐ข๐ง ๐ก๐ข๐ฌ๐ญ๐จ๐ซ๐ฒ. Most people will use sportsbooks. A few will discover something better. Here's why the World Cup is actually POTS MARKET Market biggest moment. Every match carries dozens of predictable outcomes, not just who wins, but scorelines, goalscorers, red cards, halftime leads, VAR decisions. Traditional sportsbooks will process billions in bets. And keep most of it. Here is the problem with sportsbooks that nobody talks about: They set the odds. Not the market. Which means the house always has an edge baked in before you place a single bet. You're not trading against the market, you're trading against a company whose entire business model depends on you losing. That's not a prediction market. That's a casino with a football shirt on. Prediction markets are different. The odds aren't set by a company. They're set by the collective intelligence of everyone participating. When millions of people put real money behind their beliefs, the market finds truth faster than any analyst, pundit, or algorithm working alone. This is why prediction markets outperform polls, pundits, and press releases, every single time. Now here's where POTS Market changes the game entirely. POTS MONEY has a dedicated sports vertical, built specifically for football, basketball, and esports. Not a generic market with a football category tucked in the corner. A tailored module optimized for the way sports prediction actually works, short windows, live data, rapid settlement. 64 World Cup matches = 64 live prediction markets. Each one open, on-chain, transparent. But the real edge is not the markets themselves. It's the capital layer underneath them. On a traditional sportsbook, every bet locks your full stake. You place ยฃ100, that ยฃ100 is gone until settlement. POTS Money changes this. The DeFi lending primitive means you can collateralize positions and optimize capital across multiple markets simultaneously, without locking up dead capital on each one. That's not betting. That's portfolio management. And then there's the AI layer. Via MCP (Model Context Protocol), you can deploy autonomous trading agents that monitor live match data and execute positions based on your pre-set strategy. Imagine this: Agent monitors possession stats in real time Detects a momentum shift at the 60th minute Auto-places a position on the next goalscorer market before the crowd even reacts ๐™๐™๐™–๐™ฉ'๐™จ ๐™ฃ๐™ค๐™ฉ ๐™– ๐™ฅ๐™ง๐™š๐™™๐™ž๐™˜๐™ฉ๐™ž๐™ค๐™ฃ. ๐™๐™๐™–๐™ฉ'๐™จ ๐™–๐™ฃ ๐™š๐™™๐™œ๐™š Compare the two worlds side by side: Sportsbook: โŒ House sets the odds โŒ Geo-restricted โŒ Capital locked per bet โŒ No automation โŒ Withdraw only when they allow it POTS Market: โœ… Market sets the odds โœ… Open and on-chain โœ… Capital efficient via DeFi lending โœ… AI agents execute your strategy โœ… Fully collateralized, transparent settlement One of these is built for the next decade. The other is built for the last one. The timing is not a coincidence. POTS Market launches Q2 2026, right as World Cup fever peaks globally. Q1 2026 โ€” MVP + Polymarket integration โœ… Q2 2026 โ€” Market Launch + DeFi lending beta ๐Ÿ‘ˆ we are here Q3-Q4 2026 โ€” Skill Hub + Sub-accounts 2027+ โ€” DAO governance + cross-chain The infrastructure is ready exactly when the biggest prediction event on earth arrives. That's timing. The 2026 World Cup will mint the first generation of serious prediction market traders. Most will start on sportsbooks. The ones who do their research will end up on POTS. From trusting the house to trusting the market. From locked capital to capital efficiency. From punting to positioning. POTS MARKET POTS MONEY, the World Cup just became a DeFi event.

KIMMY OF GOOD LIFE ๐Ÿ˜

21,955 views โ€ข 2 months ago

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. โ†“ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. โ†“ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. โ†“ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. โ†“ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. โ†“ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. โ†“ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. โ†“ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. โ†“ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. โ†“ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. โ†“ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. โ†“ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. โ†“ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. โ†“ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. โ†“ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. โ†“ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. โ†“ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. โ†“ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. โ†“ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. โ†“ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
35:48

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. โ†“ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. โ†“ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. โ†“ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. โ†“ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. โ†“ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. โ†“ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. โ†“ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. โ†“ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. โ†“ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. โ†“ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. โ†“ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. โ†“ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. โ†“ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. โ†“ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. โ†“ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. โ†“ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. โ†“ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. โ†“ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. โ†“ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

101,793 views โ€ข 4 months ago

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. โ†“ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. โ†“ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. โ†“ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. โ†“ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. โ†“ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. โ†“ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. โ†“ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. โ†“ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. โ†“ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. โ†“ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. โ†“ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. โ†“ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. โ†“ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. โ†“ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. โ†“ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. โ†“ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. โ†“ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. โ†“ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. โ†“ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
35:48

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. โ†“ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. โ†“ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. โ†“ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. โ†“ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. โ†“ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. โ†“ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. โ†“ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. โ†“ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. โ†“ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. โ†“ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. โ†“ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. โ†“ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. โ†“ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. โ†“ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. โ†“ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. โ†“ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. โ†“ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. โ†“ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. โ†“ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

85,668 views โ€ข 3 months ago

Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.
0:48

Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.

Milk Road AI

52,190 views โ€ข 3 months ago

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup โ†’ Claude Code connects to NotebookLM via a command line interface โ†’ Claude searches YouTube, finds relevant videos, uploads them as sources automatically โ†’ NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers โ†’ Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever โ†’ No more 20 browser tabs you never close โ†’ No more copy-pasting outputs into random notes โ†’ No more hallucinated answers with no sources to back them up โ†’ 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal โ†’ Search YouTube for relevant videos on any topic and rank by relevance โ†’ Create a new NotebookLM notebook and add 20 sources in parallel automatically โ†’ Ask questions and export cited answers directly into Obsidian with wikilinks โ†’ Set custom personas per notebook - concise, no filler, no preamble โ†’ Generate audio overviews and save them as MP3 files into your vault โ†’ Build mind maps, flashcard decks, and research dashboards from your sources โ†’ Search arXiv for academic papers and feed them directly into NotebookLM โ†’ Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output โ†’ Every answer arrives with clickable citations that link to the exact passage in the source video or article โ†’ Graph view shows connections between all 20 sources and the topics they share โ†’ Q&A log tracks every question asked and the grounded response received โ†’ Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today โ†’ Academic research with arXiv papers, full citation traceability โ†’ Competitor analysis from their YouTube channels and blog posts โ†’ Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates โ†’ Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week โ†’ Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything
32:50

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup โ†’ Claude Code connects to NotebookLM via a command line interface โ†’ Claude searches YouTube, finds relevant videos, uploads them as sources automatically โ†’ NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers โ†’ Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever โ†’ No more 20 browser tabs you never close โ†’ No more copy-pasting outputs into random notes โ†’ No more hallucinated answers with no sources to back them up โ†’ 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal โ†’ Search YouTube for relevant videos on any topic and rank by relevance โ†’ Create a new NotebookLM notebook and add 20 sources in parallel automatically โ†’ Ask questions and export cited answers directly into Obsidian with wikilinks โ†’ Set custom personas per notebook - concise, no filler, no preamble โ†’ Generate audio overviews and save them as MP3 files into your vault โ†’ Build mind maps, flashcard decks, and research dashboards from your sources โ†’ Search arXiv for academic papers and feed them directly into NotebookLM โ†’ Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output โ†’ Every answer arrives with clickable citations that link to the exact passage in the source video or article โ†’ Graph view shows connections between all 20 sources and the topics they share โ†’ Q&A log tracks every question asked and the grounded response received โ†’ Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today โ†’ Academic research with arXiv papers, full citation traceability โ†’ Competitor analysis from their YouTube channels and blog posts โ†’ Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates โ†’ Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week โ†’ Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Dami-Defi

252,693 views โ€ข 2 months ago

BREAKING ๐Ÿšจ๐Ÿšจ๐Ÿšจ: Stoughton Police Chief Donna McNamara has been granted an extortionary short order of notice hearing, that will take place this Friday, July 31st, at 10AM on the first floor of Norfolk Superior Court, in an effort to retain her position (after she alleges she was forced out for trying to cooperate with the FBI about the coverup of Sandra Birchmore's murder which, in turn, involves "multiple current and former" members of the Stoughton Police Department). Chief McNamara will, in turn, be able to make oral arguments to the Hon. Rosemary Connolly that, under the four-factor TRO test in Massachusetts, McNamara should be put back in her job, via court order, pending the final disposition of McNamara's current civil lawsuit (file Monday) against the town of Stoughton. Read Judge's order , granting that hearing on short notice, here (Judge's order is an endorsement on the motion and, also, the hearing in on the MassCourt's docket --2682CV00852-- for Friday) - McNamara, alleges her new lawsuit, was constructively dismissed, under false pretext, by the Stoughton Town manager because McNamara was a woman and, also, because McNamara would not stay silent about a 2024 IA investigation into the coverup of Sandra's death. Further, as I reported on Monday, McNamara alleges, in June of 2026, she told the Stoughton Town Manager that the FBI's trial prep, leading up to Matthew Farwell's October, 2026, trial for Sandra's murder (and the murder of Sandra's unborn 8-10 week old baby boy) would require McNamara to expand investigations into the aforementioned "current and former" members of the Stoughton PD. On Monday, I reported the following; Stoughton Police Chief Donna McNamara, in a new lawsuit filed today, confirmed that --as a result of ongoing FBI investigations in June of 2026 regarding Sandra Birchmore-- there may be new misconduct investigations of "current and former" Stoughton police officers. Brian Tully's State Police unit, including John Fanning and Yuri Bukhenik, cleared then-Stoughton cop Matthew Farwell for responsibility for Sandra's death in 2021 (despite a litany of evidence linking Farwell to the crime, and to a years-long grooming/abuse ring targeting Sandra involving the Stoughton Police Explorer's Program). Both Bukhenik and Fanning, of note, used to work in Stoughton as police officers before moving on to work for Norfolk District Attorney Michael Morrissey's State Police Detective Unit (as did Farwell's brother, William Farwell). Fanning, for his part, personally wrote the state police report clearing Farwell for a role in Sandra's death (and the death of Sandra's unborn 8-10 week old baby boy). In turn, at the time (in 2021), Fanning reported to his Sergeant (Bukhenik) and, also, Bukhenik's boss, Detective-Lieutenant Brian Tully. Read that new lawsuit here: Earlier in June of 2026, for more context and background, I reported; In a new motion from Matthew Farwell via the Sandra Birchmore federal docket, it has been revealed that law enforcement officers were the subject of ongoing federal investigations as recently as April of 2026. This has potential major implications regarding the state police and their initial coverup of Sandra's murder. That state police unit, detailed to the Norfolk District Attorney Michael Morrissey, included Brian Tully, John Fanning, Yuri Bukhenik, Michael Proctor and Nick Guarino. Shockingly, Fanning (who wrote the initial MSP report clearing Farwell for Sandra's murder, years before the federal government indicted Farwell) used to work as a cop in Stoughton. Stoughton was the town where the town where Farwell groomed Sandra, via the Police Explorer's program, in 2014. Farwell, alleges the federal government, murdered Sandra, and her unborn 8-10 week old baby boy, on February 1st, 2021, circa 9:27PM ET. Then, somehow, the Canton Police Department (including Kevin Albert) discovered information, between February 4-6th of 2021, that Farwell was the man captured on video at Sandra's apartment at the time of her murder, that Farwell had admitted to others that he had abused Sandra since she was a child and, further, that Farwell had stated that he was going to take care of the problem himself if Sandra insisted on carrying her unborn baby boy to term. Farwell, at the time, was under the impression he was the father of Sandra's unborn baby boy...although subsequent DNA testing determined Farwell was not the father. This new information related to the ongoing federal investigation was revealed by Farwell in a filing asking for a bill of particular ahead of Farwell's august, 2026, trial at Boston Moakley Federal courthouse. Of note, as the Proctorgate scandal unfolds (regarding abhorrent messages sent by Michael Proctor and his friends - including one where Sean Goode called Sandra Birchmore a slur for mentally disabled people soon after her murder), one of the people potentially involved in Proctor's group chat was a man named "Larry" Kennedy. This man is potentially the husband of Meg Kennedy (who was Sandra Birchmore's guidance counselor). Shockingly, Meg Kennedy's close friend is Karen Read trial witness (and someone who "did not know Michael Proctor before 2023," per her trial testimony) Jen McCabe. Read that report here - Then, on July 21st of 2026, I reported; Matthew Farwell has LOST his motion for a bill of particulars ahead of his August, 2026, federal trial for the death of Sandra Birchmore (and her unborn 8-10 week-old baby boy)...a case initially covered up by the Norfolk DA and Brian Tully/John Fanning's MSP unit. Quoting Chief Judge Casper; "Given the Courtโ€™s ruling about the sufficiency of the superseding indictment, the production of discovery and the supplemental disclosures, the Court concludes that a bill of particulars is not warranted where Farwell has been put on notice of the nature of the charges against him, will not be caught by unfair surprise at trial, or hampered in his defense or protection from double jeopardy." Link (via Kyle Sharkey): Previously, on July 9, 2026, I reported: NEW: Here is the latest document filed by the federal government in the Sandra Birchmore/Matthew Farwell case ahead of Farwell's August, 2026, trial. Sandra WAS NOT in contact with federal LEO before she was killed, but she may have attempted to make such contact if Farwell did not take Sandra's life (and the life of her unborn baby). Quoting from page 3 of the new motion from the office of U.S. Attorney for The District Of Massachusetts, Leah Foley; "Third, even if Farwell were entitled to more information about the evidence, his requests are improper because they are based on a misinterpretation of the elements of Section 1512(a)(1)(C). From the text and his emphasis on the word โ€œfederal,โ€ the premise for Request Nos. 2 through 4 appears to be that the government must prove that Farwell killed Birchmore intending to prevent a communication to a specific federal law enforcement officer. That is not the law. Section 1512(g)(2) eliminated any mens rea requirement regarding the federal status of the putative recipient of a communication that the killing prevented. See 18 U.S.C. ยง 1512(g)(2). And in Fowler, the Court held that Section 1512(a)(1)(C) โ€œcovers a defendant who kills with intent to prevent communication with law enforcement generally (i.e., with any and all law enforcement officers).โ€ Fowler, 563 U.S. at 673. Here, the Court should deny the motion because Farwell seeks evidence regarding something the government does not have to prove. Finally, while the Superseding Indictment and the tens of thousands of pages of discovery have apprised the defendant of the nature of the charges and mitigate any genuine risk of surprise at trial, the government will supplement its disclosures with the following representations regarding Request Nos. 1 and 5: ๏‚ท Request No. 1. Matthew Farwell sought to prevent communications by Sandra Birchmore, the person who contacted the Stoughton Police Department on January 20, 2021 (Superseding Indictment, ยถ 7), and any similarly situated persons to whom Birchmore made disclosures about the conduct underlying Farwellโ€™s identified federal crimes (Superseding Indictment, ยถยถ 4โ€“5, 11). Request No. 5. The Federal Bureau of Investigation (โ€œFBIโ€), including its agents and task force officers, are the federal law enforcement officers to whom at least one relevant communication would have been made." Link to filing - Farwell's trial is scheduled to begin on October 5th of 2026 at the Moakley Courthouse in Boston. Towel News will have wall-to-wall coverage of the entire trial from the courtroom (although no cameras will be permitted).
14:44

BREAKING ๐Ÿšจ๐Ÿšจ๐Ÿšจ: Stoughton Police Chief Donna McNamara has been granted an extortionary short order of notice hearing, that will take place this Friday, July 31st, at 10AM on the first floor of Norfolk Superior Court, in an effort to retain her position (after she alleges she was forced out for trying to cooperate with the FBI about the coverup of Sandra Birchmore's murder which, in turn, involves "multiple current and former" members of the Stoughton Police Department). Chief McNamara will, in turn, be able to make oral arguments to the Hon. Rosemary Connolly that, under the four-factor TRO test in Massachusetts, McNamara should be put back in her job, via court order, pending the final disposition of McNamara's current civil lawsuit (file Monday) against the town of Stoughton. Read Judge's order , granting that hearing on short notice, here (Judge's order is an endorsement on the motion and, also, the hearing in on the MassCourt's docket --2682CV00852-- for Friday) - McNamara, alleges her new lawsuit, was constructively dismissed, under false pretext, by the Stoughton Town manager because McNamara was a woman and, also, because McNamara would not stay silent about a 2024 IA investigation into the coverup of Sandra's death. Further, as I reported on Monday, McNamara alleges, in June of 2026, she told the Stoughton Town Manager that the FBI's trial prep, leading up to Matthew Farwell's October, 2026, trial for Sandra's murder (and the murder of Sandra's unborn 8-10 week old baby boy) would require McNamara to expand investigations into the aforementioned "current and former" members of the Stoughton PD. On Monday, I reported the following; Stoughton Police Chief Donna McNamara, in a new lawsuit filed today, confirmed that --as a result of ongoing FBI investigations in June of 2026 regarding Sandra Birchmore-- there may be new misconduct investigations of "current and former" Stoughton police officers. Brian Tully's State Police unit, including John Fanning and Yuri Bukhenik, cleared then-Stoughton cop Matthew Farwell for responsibility for Sandra's death in 2021 (despite a litany of evidence linking Farwell to the crime, and to a years-long grooming/abuse ring targeting Sandra involving the Stoughton Police Explorer's Program). Both Bukhenik and Fanning, of note, used to work in Stoughton as police officers before moving on to work for Norfolk District Attorney Michael Morrissey's State Police Detective Unit (as did Farwell's brother, William Farwell). Fanning, for his part, personally wrote the state police report clearing Farwell for a role in Sandra's death (and the death of Sandra's unborn 8-10 week old baby boy). In turn, at the time (in 2021), Fanning reported to his Sergeant (Bukhenik) and, also, Bukhenik's boss, Detective-Lieutenant Brian Tully. Read that new lawsuit here: Earlier in June of 2026, for more context and background, I reported; In a new motion from Matthew Farwell via the Sandra Birchmore federal docket, it has been revealed that law enforcement officers were the subject of ongoing federal investigations as recently as April of 2026. This has potential major implications regarding the state police and their initial coverup of Sandra's murder. That state police unit, detailed to the Norfolk District Attorney Michael Morrissey, included Brian Tully, John Fanning, Yuri Bukhenik, Michael Proctor and Nick Guarino. Shockingly, Fanning (who wrote the initial MSP report clearing Farwell for Sandra's murder, years before the federal government indicted Farwell) used to work as a cop in Stoughton. Stoughton was the town where the town where Farwell groomed Sandra, via the Police Explorer's program, in 2014. Farwell, alleges the federal government, murdered Sandra, and her unborn 8-10 week old baby boy, on February 1st, 2021, circa 9:27PM ET. Then, somehow, the Canton Police Department (including Kevin Albert) discovered information, between February 4-6th of 2021, that Farwell was the man captured on video at Sandra's apartment at the time of her murder, that Farwell had admitted to others that he had abused Sandra since she was a child and, further, that Farwell had stated that he was going to take care of the problem himself if Sandra insisted on carrying her unborn baby boy to term. Farwell, at the time, was under the impression he was the father of Sandra's unborn baby boy...although subsequent DNA testing determined Farwell was not the father. This new information related to the ongoing federal investigation was revealed by Farwell in a filing asking for a bill of particular ahead of Farwell's august, 2026, trial at Boston Moakley Federal courthouse. Of note, as the Proctorgate scandal unfolds (regarding abhorrent messages sent by Michael Proctor and his friends - including one where Sean Goode called Sandra Birchmore a slur for mentally disabled people soon after her murder), one of the people potentially involved in Proctor's group chat was a man named "Larry" Kennedy. This man is potentially the husband of Meg Kennedy (who was Sandra Birchmore's guidance counselor). Shockingly, Meg Kennedy's close friend is Karen Read trial witness (and someone who "did not know Michael Proctor before 2023," per her trial testimony) Jen McCabe. Read that report here - Then, on July 21st of 2026, I reported; Matthew Farwell has LOST his motion for a bill of particulars ahead of his August, 2026, federal trial for the death of Sandra Birchmore (and her unborn 8-10 week-old baby boy)...a case initially covered up by the Norfolk DA and Brian Tully/John Fanning's MSP unit. Quoting Chief Judge Casper; "Given the Courtโ€™s ruling about the sufficiency of the superseding indictment, the production of discovery and the supplemental disclosures, the Court concludes that a bill of particulars is not warranted where Farwell has been put on notice of the nature of the charges against him, will not be caught by unfair surprise at trial, or hampered in his defense or protection from double jeopardy." Link (via Kyle Sharkey): Previously, on July 9, 2026, I reported: NEW: Here is the latest document filed by the federal government in the Sandra Birchmore/Matthew Farwell case ahead of Farwell's August, 2026, trial. Sandra WAS NOT in contact with federal LEO before she was killed, but she may have attempted to make such contact if Farwell did not take Sandra's life (and the life of her unborn baby). Quoting from page 3 of the new motion from the office of U.S. Attorney for The District Of Massachusetts, Leah Foley; "Third, even if Farwell were entitled to more information about the evidence, his requests are improper because they are based on a misinterpretation of the elements of Section 1512(a)(1)(C). From the text and his emphasis on the word โ€œfederal,โ€ the premise for Request Nos. 2 through 4 appears to be that the government must prove that Farwell killed Birchmore intending to prevent a communication to a specific federal law enforcement officer. That is not the law. Section 1512(g)(2) eliminated any mens rea requirement regarding the federal status of the putative recipient of a communication that the killing prevented. See 18 U.S.C. ยง 1512(g)(2). And in Fowler, the Court held that Section 1512(a)(1)(C) โ€œcovers a defendant who kills with intent to prevent communication with law enforcement generally (i.e., with any and all law enforcement officers).โ€ Fowler, 563 U.S. at 673. Here, the Court should deny the motion because Farwell seeks evidence regarding something the government does not have to prove. Finally, while the Superseding Indictment and the tens of thousands of pages of discovery have apprised the defendant of the nature of the charges and mitigate any genuine risk of surprise at trial, the government will supplement its disclosures with the following representations regarding Request Nos. 1 and 5: ๏‚ท Request No. 1. Matthew Farwell sought to prevent communications by Sandra Birchmore, the person who contacted the Stoughton Police Department on January 20, 2021 (Superseding Indictment, ยถ 7), and any similarly situated persons to whom Birchmore made disclosures about the conduct underlying Farwellโ€™s identified federal crimes (Superseding Indictment, ยถยถ 4โ€“5, 11). Request No. 5. The Federal Bureau of Investigation (โ€œFBIโ€), including its agents and task force officers, are the federal law enforcement officers to whom at least one relevant communication would have been made." Link to filing - Farwell's trial is scheduled to begin on October 5th of 2026 at the Moakley Courthouse in Boston. Towel News will have wall-to-wall coverage of the entire trial from the courtroom (although no cameras will be permitted).

Grant Smith Ellis

70,314 views โ€ข 17 days ago

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards on Saturday. DeepMind lanyard in his pocket. Two glasses of baijiu in. Loose tie. Laptop open on the bar. Position check running. He saw the screen. "Is that Polymarket" Yeah. "You trade it with Opus 4.7" I nodded. He dragged a stool over. "I ran the internal eval on 4.7 last month. Best reasoning model we've tested on adversarial time-series. Nobody outside the lab is using it for money yet. You're the first I've seen" I asked what the eval looked like. "We hand the model raw wallet data and tell it to find signal. 4.7 finds it faster than our quants. Then legal kills the experiment. Same every quarter" I showed him the scanner. 86M trades. Public dataset nobody outside maintainers touches it. 14,000 wallets in. Filter by floor WR, trade count, size, recency. 9 wallets out. Opus 4.7 chewed it in 38 minutes on a $5 VPS. "Why 4.7 and not Codex" Codex writes code. 4.7 reads behavior. Different problem. "The filter" 40-200 trades. 74+ lifetime WR. Sub $1,500 avg. Active last 45 days. 3 qualifying 21-day windows. "Why those bands" Above 200 is a fund. Below 40 is luck. Between is the edge. A fill landed mid-conversation. +$128 on BTC+100K 5-min. "How does it enter" Each wallet only prints in its zone. 83% crypto. 51% politics. 49% sports. Copy only inside the zone. "Domain conditioning. We published on it in March. Nobody ships it retail" I ship it. Four Python scripts. Claude Code wrote 80% in a weekend. Delay 21 min. Bet size is the signal. $900 normal, $1,600 is 1.8 sigma. Size up. Exit mirrors source. 74.1% of max gain. Stale past 18h under 3% gets cut. Sharpe 2.67 453 trades 81.7% WR $600 seed +$41,985 in 31 days He set the glass down. "4.7 is a weapon on this data. Most people use it to write essays. You built a printer" He leaned in. "One more thing. Rerun the filter with 4.7 every 7 days. The wallet set rotates. Your 9 today are not your 9 in a month" Execution orderbook layer, no middleman. For those who don't build - He pulled out his phone, typed something, stopped. "If anyone at the lab asks, we never spoke" I said we didn't. I found 4.7 myself. He smiled. "Good answer" He finished the baijiu and walked to the elevator.
0:26

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards on Saturday. DeepMind lanyard in his pocket. Two glasses of baijiu in. Loose tie. Laptop open on the bar. Position check running. He saw the screen. "Is that Polymarket" Yeah. "You trade it with Opus 4.7" I nodded. He dragged a stool over. "I ran the internal eval on 4.7 last month. Best reasoning model we've tested on adversarial time-series. Nobody outside the lab is using it for money yet. You're the first I've seen" I asked what the eval looked like. "We hand the model raw wallet data and tell it to find signal. 4.7 finds it faster than our quants. Then legal kills the experiment. Same every quarter" I showed him the scanner. 86M trades. Public dataset nobody outside maintainers touches it. 14,000 wallets in. Filter by floor WR, trade count, size, recency. 9 wallets out. Opus 4.7 chewed it in 38 minutes on a $5 VPS. "Why 4.7 and not Codex" Codex writes code. 4.7 reads behavior. Different problem. "The filter" 40-200 trades. 74+ lifetime WR. Sub $1,500 avg. Active last 45 days. 3 qualifying 21-day windows. "Why those bands" Above 200 is a fund. Below 40 is luck. Between is the edge. A fill landed mid-conversation. +$128 on BTC+100K 5-min. "How does it enter" Each wallet only prints in its zone. 83% crypto. 51% politics. 49% sports. Copy only inside the zone. "Domain conditioning. We published on it in March. Nobody ships it retail" I ship it. Four Python scripts. Claude Code wrote 80% in a weekend. Delay 21 min. Bet size is the signal. $900 normal, $1,600 is 1.8 sigma. Size up. Exit mirrors source. 74.1% of max gain. Stale past 18h under 3% gets cut. Sharpe 2.67 453 trades 81.7% WR $600 seed +$41,985 in 31 days He set the glass down. "4.7 is a weapon on this data. Most people use it to write essays. You built a printer" He leaned in. "One more thing. Rerun the filter with 4.7 every 7 days. The wallet set rotates. Your 9 today are not your 9 in a month" Execution orderbook layer, no middleman. For those who don't build - He pulled out his phone, typed something, stopped. "If anyone at the lab asks, we never spoke" I said we didn't. I found 4.7 myself. He smiled. "Good answer" He finished the baijiu and walked to the elevator.

rari

37,596 views โ€ข 3 months ago

how to use firecrawl to give your AI eyes and actually build startups that outperform 99% of apps: 1. your AI is smart but blind. it can't go to a website, read a page, or grab data on its own. firecrawl fixes that. you put in a URL. you get back clean markdown, structured JSON, screenshots. feed it to any model. 2. three lines of code. that's it. no proxies. no anti-bot detection. no custom scrapers that break when a site changes. one API call. clean data back in seconds. works on 98%+ of sites. 3. firecrawl has six core capabilities: scrape a single page. crawl an entire site. map all URLs on a domain. search google and return full content. an agent endpoint where you describe what you want and it goes and finds it. and a browser sandbox where AI controls a real browser like filling forms, clicking buttons, handles logins. 4. the agent endpoint is wild. you can say "find all of YC's winter 24 dev tool companies and their founders and emails" and get back structured data. or "compare pricing tiers across stripe, square, and paypal" and get a side-by-side table. 5. the browser sandbox lets your AI stay logged in across sessions, navigate pagination, watch live as it browses. this is computer use without building the infrastructure yourself. 6. think of it in layers. every builder needs: an agent harness (claude code, cursor, codex), a search layer (perplexity, exa), a web data layer (firecrawl), an ops brain (obsidian, notion), and an outbound stack. the web data layer is the one most people are sleeping on. 7. this is the AWS moment for web data. in 2006 building a web app meant buying servers and managing racks. AWS said one API call, use our servers. some of the biggest companies of the last decade were built on that. firecrawl is doing the same thing for web data in 2026. 8. the framework i'd use for coming up with startup ideas building with clean data: take a massive horizontal platform. rebuild it for one niche using firecrawl. the vertical version always wins because people want specific, not generic. price for outcome. 9. a year ago firecrawl posted a job listing that said "please only apply if you're an AI agent." content creator agents. customer support agents. junior dev agents. it looked weird. it was a signal for where this is all going. the people who understand how to get clean web data, wrap it around an LLM, and package it as a product are the the ones with a 12-month head start. i use Firecrawl with Idea Browser . once you see what's possible with structured web data, you can't unsee it. episode is live on The Startup Ideas Podcast (SIP) ๐Ÿงƒ (full breakdown there) i tried to explain this as clear as possible for even the non technical. send it to a builder friend. watch
27:27

how to use firecrawl to give your AI eyes and actually build startups that outperform 99% of apps: 1. your AI is smart but blind. it can't go to a website, read a page, or grab data on its own. firecrawl fixes that. you put in a URL. you get back clean markdown, structured JSON, screenshots. feed it to any model. 2. three lines of code. that's it. no proxies. no anti-bot detection. no custom scrapers that break when a site changes. one API call. clean data back in seconds. works on 98%+ of sites. 3. firecrawl has six core capabilities: scrape a single page. crawl an entire site. map all URLs on a domain. search google and return full content. an agent endpoint where you describe what you want and it goes and finds it. and a browser sandbox where AI controls a real browser like filling forms, clicking buttons, handles logins. 4. the agent endpoint is wild. you can say "find all of YC's winter 24 dev tool companies and their founders and emails" and get back structured data. or "compare pricing tiers across stripe, square, and paypal" and get a side-by-side table. 5. the browser sandbox lets your AI stay logged in across sessions, navigate pagination, watch live as it browses. this is computer use without building the infrastructure yourself. 6. think of it in layers. every builder needs: an agent harness (claude code, cursor, codex), a search layer (perplexity, exa), a web data layer (firecrawl), an ops brain (obsidian, notion), and an outbound stack. the web data layer is the one most people are sleeping on. 7. this is the AWS moment for web data. in 2006 building a web app meant buying servers and managing racks. AWS said one API call, use our servers. some of the biggest companies of the last decade were built on that. firecrawl is doing the same thing for web data in 2026. 8. the framework i'd use for coming up with startup ideas building with clean data: take a massive horizontal platform. rebuild it for one niche using firecrawl. the vertical version always wins because people want specific, not generic. price for outcome. 9. a year ago firecrawl posted a job listing that said "please only apply if you're an AI agent." content creator agents. customer support agents. junior dev agents. it looked weird. it was a signal for where this is all going. the people who understand how to get clean web data, wrap it around an LLM, and package it as a product are the the ones with a 12-month head start. i use Firecrawl with Idea Browser . once you see what's possible with structured web data, you can't unsee it. episode is live on The Startup Ideas Podcast (SIP) ๐Ÿงƒ (full breakdown there) i tried to explain this as clear as possible for even the non technical. send it to a builder friend. watch

GREG ISENBERG

135,017 views โ€ข 4 months ago

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools โ€” all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource โ€” a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks โ€” they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed โ€” gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system โ€” it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK โ€” bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read โ€” not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care โ€” it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem โ€” FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key โ€” mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level โ€” the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW โ€” not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network โ€” using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite โ€” it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.
0:46

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools โ€” all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource โ€” a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks โ€” they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed โ€” gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system โ€” it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK โ€” bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read โ€” not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care โ€” it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem โ€” FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key โ€” mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level โ€” the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW โ€” not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network โ€” using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite โ€” it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.

doodlifts

12,172 views โ€ข 5 months ago

Big Breaking News, China started shut down one of its companies involved in CPEC in the Gwadar Republic of Balochistan. 1 May 2026 OFFICIAL STATEMENT of the Chinese Dear partners, media, and friends, It is with deep regret that we announce that on May 1st, 2026โ€”International Labor Dayโ€”we are forced to inform all our employees in Pakistan and China that, due to ongoing non-market factors and operational barriers, the company can no longer sustain normal operations and will be compelled to shut down the factory. Our facility has successfully met the inspection and quarantine standards of China Customs and complies with international HACCP food safety requirements. However, despite meeting all international export standards, the project has not received the necessary approvals in practice, and exports have remained blocked. Over the past three months, we have remained patient and fully cooperative with all relevant authorities, while actively seeking resolution through higher-level coordination. During this period, the company has continued to bear substantial financial losses, including employee wages, contractual penalties, electricity costs, and container demurrage charges. We fully respect the importance of regulatory oversight and understand the seriousness of food safety and quarantine requirements. However, in practice, the challenges we face are no longer purely technical or compliance-related, but stem from execution-level uncertainties and systemic barriers, which have ultimately made it impossible for the business to continue operating. China and Pakistan are all-weather strategic partners, and Gwadar Port is a flagship project of the China-Pakistan Economic Corridor (CPEC). As investors, we have overcome numerous challenges, including difficult logistics, limited utilities, and underdeveloped infrastructure, to build and operate in this region. Unfortunately, the obstacles we now face go beyond what any enterprise can resolve on its own. We would like to express our sincere gratitude to the government officials and members of society who have supported us, especially the leadership of the Ministry of Planning, whose actions have truly demonstrated the spirit of China-Pakistan friendship. According to media reports, the Prime Minister of Pakistan is scheduled to visit China in the third week of this month and participate in a B2B investment forum. We would like to take this opportunity to convey the following: We are fully ready to immediately generate foreign exchange, create employment, revitalize Gwadar Port, and contribute to the development of CPEC. What we urgently need is a clear, consistent, and executable policy environment that allows investments to be implemented in reality. At the same time, we would like to offer a sincere reminder to companies planning to participate in the upcoming B2B forum or considering investment in Pakistan: Before making investment decisions, it is essential to carefully assess the potential policy execution gaps and institutional uncertainties that may arise during project implementation. The Chinese government and Chinese investors have consistently supported Pakistanโ€™s economic development and social progress. However, the situation we are currently facing also highlights the real challenges that can occur during the investment process. Finally, we extend our deepest apologies to all our employees. Under the current circumstances, we are no longer able to provide stable employment. โ€œWe are truly sorry. We have done everything we could.โ€ This statement is hereby issued to the public, as well as to Chinese, Pakistani, and international media. Andy Liao Hangeng Group.
3:15

Big Breaking News, China started shut down one of its companies involved in CPEC in the Gwadar Republic of Balochistan. 1 May 2026 OFFICIAL STATEMENT of the Chinese Dear partners, media, and friends, It is with deep regret that we announce that on May 1st, 2026โ€”International Labor Dayโ€”we are forced to inform all our employees in Pakistan and China that, due to ongoing non-market factors and operational barriers, the company can no longer sustain normal operations and will be compelled to shut down the factory. Our facility has successfully met the inspection and quarantine standards of China Customs and complies with international HACCP food safety requirements. However, despite meeting all international export standards, the project has not received the necessary approvals in practice, and exports have remained blocked. Over the past three months, we have remained patient and fully cooperative with all relevant authorities, while actively seeking resolution through higher-level coordination. During this period, the company has continued to bear substantial financial losses, including employee wages, contractual penalties, electricity costs, and container demurrage charges. We fully respect the importance of regulatory oversight and understand the seriousness of food safety and quarantine requirements. However, in practice, the challenges we face are no longer purely technical or compliance-related, but stem from execution-level uncertainties and systemic barriers, which have ultimately made it impossible for the business to continue operating. China and Pakistan are all-weather strategic partners, and Gwadar Port is a flagship project of the China-Pakistan Economic Corridor (CPEC). As investors, we have overcome numerous challenges, including difficult logistics, limited utilities, and underdeveloped infrastructure, to build and operate in this region. Unfortunately, the obstacles we now face go beyond what any enterprise can resolve on its own. We would like to express our sincere gratitude to the government officials and members of society who have supported us, especially the leadership of the Ministry of Planning, whose actions have truly demonstrated the spirit of China-Pakistan friendship. According to media reports, the Prime Minister of Pakistan is scheduled to visit China in the third week of this month and participate in a B2B investment forum. We would like to take this opportunity to convey the following: We are fully ready to immediately generate foreign exchange, create employment, revitalize Gwadar Port, and contribute to the development of CPEC. What we urgently need is a clear, consistent, and executable policy environment that allows investments to be implemented in reality. At the same time, we would like to offer a sincere reminder to companies planning to participate in the upcoming B2B forum or considering investment in Pakistan: Before making investment decisions, it is essential to carefully assess the potential policy execution gaps and institutional uncertainties that may arise during project implementation. The Chinese government and Chinese investors have consistently supported Pakistanโ€™s economic development and social progress. However, the situation we are currently facing also highlights the real challenges that can occur during the investment process. Finally, we extend our deepest apologies to all our employees. Under the current circumstances, we are no longer able to provide stable employment. โ€œWe are truly sorry. We have done everything we could.โ€ This statement is hereby issued to the public, as well as to Chinese, Pakistani, and international media. Andy Liao Hangeng Group.

Mir Yar Baloch

15,101 views โ€ข 3 months ago

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?
0:57

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?

kmdr

29,430 views โ€ข 25 days ago

The rituals of the Admiralty Law CURSE of 1871 are being undone! A return to the Common Law of the Land is taking place. UFC Freedom 250: Is the Peopleโ€™s Consent to the return of the New American Order of 1776. UFC Freedom 250 is a major event taking place on the White House South Lawn. At first glance, a cage fight at the White House may seem like an odd addition to Americaโ€™s 250th anniversary celebrations. In reality, it is a profound public ceremony that provides the legal mechanism for the full implementation of the New American Order - the restoration of national sovereignty under the law of the land and Godโ€™s jurisdiction. To lawfully complete the shift under the law of the land, the sovereigns of that land โ€“ the American people โ€“ must give their explicit consent. That is the purpose of UFC Freedom 250. Far more than a sporting event, it serves as the public ceremony required under Admiralty Law rules: the peopleโ€™s visible endorsement of the transition into Americaโ€™s New Order. The One-Year Process of Restoring American Sovereignty The following shows the steps that have already been taken in the dismantling of Admiralty Law: America recapturing its flag (June 14, 2025): Flag Day celebrates the adoption of the American flag on June 14, 1777. It's the true symbol of land jurisdiction and national sovereignty. It was on this day in 2025 that America initiated the legal process of removing itself from British Admiralty jurisdiction in order to restore its sovereignty and the law of the land. America asked to return to God (April 18, 2026): President Trump reads 2 Chronicles 7:11-12 to the nation as an appeal to return to God in recognition of the original covenant of 1776 - the Declaration of Independence - that places the nation under Godโ€™s jurisdiction. Royal visit as a witness (April 27-30, 2026): As the living trustee of the Admiralty-based system, the King and Queen serve as legally recognized eyewitnesses. Their presence functions as formal acknowledgment of America completing the required legal steps for sovereign independence. Fed Chairman steps down (May 15, 2026): The Federal Reserve has played a central role in upholding the British Admiralty (maritime) Law-based commercial system that powers the debt-based economy. By stepping down, it signals the shift back to American jurisdiction. The National Prayer of Dedication (May 17, 2026): This comes one full moon (a complete cycle) after the appeal to the nation to turn back to God. The National Jubilee of Prayer is the public act of rededicating America back to God (2 Chronicles 7:14). It marks the withdrawal of consent from the 1871 commercial system that quietly gave jurisdiction back to the British maritime system, and the restoration of the 1776 covenant. New Fed Chairman sworn in (May 25, 2026): Kevin Warsh was sworn in under the law of the land, which was clearly signaled by the absence of the gold-fringed flag (indicating Admiralty jurisdiction) and Supreme Court Justice Clarence Thomas administering the oath. Using the Old System to End the Old System The transition touches every area of life: spiritual, legal, and economic. At its core is the replacement of the foreign-controlled, Admiralty Law-based legal and financial system that has long dominated the nation. The legal process that began on Flag Day, June 14, 2025, is now nearing completion. By dismantling this structure, America removes the foundation that protected corruption, debt slavery, and treasonous actors loyal to that system. Resistance from those who benefited from that arrangement is inevitable. The transition will involve a turbulent battle against a deeply entrenched system โ€“ the โ€œstormโ€ that will precede the people's new order. Though intense, this period will be swift and necessary to remove the remaining barriers to national sovereignty. While the National Prayer of Dedication was an essential step in establishing who the nation would place itself under, it was not the final legal trigger for Americaโ€™s new order. Under British Admiralty Law, a shift of this magnitude still requires a visible public โ€œritualโ€ that demonstrates the people's consent through participation and celebration. One of the oldest tools of the Admiralty system is now being used to secure that approval: โ€œOrdo Ab Chaoโ€. UFC Freedom 250 provides exactly that public spectacle: a high-visibility event on the White House lawn that fulfills the ritual requirement and completes the transition to the New American Order. โ€œOrdo Ab Chaoโ€ is the hidden motto of high-level Freemasonry. For those placed in positions of power under their โ€œgodโ€ Satan (whom they believe to be the true Savior and Illuminator), it is the blueprint for controlled transformation: create chaos first, then offer a โ€œnew orderโ€ as the solution. Classic Problem-Reaction-Solution. Their system is designed to engineer or exploit disruption through wars, financial crashes, moral collapse, social division, and fear. Once the people are terrified, confused, and desperate, the controllers step forward with the pre-planned โ€œsolutionโ€: their new systems of governance, their rules, their gods. However, because humans were created as powerful sovereigns of the physical realm, these systems cannot be lawfully imposed without the acquiescence of the governed. Their operating philosophy is simple: keep the masses ignorant, entertained, and emotionally invested in the spectacle, and they will unknowingly consent to the changes that follow. To obtain that permission, they stage public spectacles of visible, controlled chaos. When people cheer, participate, and become emotionally invested, their maritime law treats that participation as consent. According to their legal doctrine, โ€œignorance of the law is no excuseโ€. Once that consent is obtained, they can roll out the changes that follow. UFC Freedom 250 is using this very same tool - but this time, against the enemy. The spectacle on the White House South Lawn is not directed against the American people. Instead, it is aimed at dismantling the British Admiralty system that has long exercised jurisdiction over America. Through public participation, the event secures visible support for the lawful transition to the New American Order under the law of the land. Instead of using their tool to further bind the American people to their system, it is being used to bring that system to an end. The Symbolism of UFC Freedom 250 UFC Freedom 250 is the dramatic event that creates a major spectacle. It is classic staged Ordo Ab Chaos. A highly visible event placed on the White House South Lawn, the center of American power. The two main events: โ€ข Main Event (Lightweight Title): Ilia Topuria (undefeated foreign champion) vs. Justin Gaethje (American interim champion). โ€ข Co-Main (Heavyweight Interim Title): Alex Pereira (Brazilian) vs. Ciryl Gane (French) โ€” two foreign fighters. While the heavyweight division represents the foreign established powers battling for control, the lightweight division represents the common people. An American fighter in the main event on sovereign land symbolizes the American people entering the final stage of the conflict on their own ground. The octagon cage, where the fights take place, sits on the South Lawn โ€” sovereign American land, not corporate territory. This is the same ground where the King and Queen stood as legal witnesses only weeks earlier. A โ€œfightโ€ inside the cage becomes the perfect public ritual: visible, emotional chaos that the crowd can cheer for. In this symbolic battle, the American crowdโ€™s loud support for Gaethje goes far beyond enthusiasm. By pouring their energy into the American fighter on sovereign American soil, the people, whether aware or not, are symbolically choosing the new land-based American Order over the foreign maritime system. Their cheers act as acquiescence - the peopleโ€™s approval of the transition and acceptance of the storm that accompanies it. That consent makes the shift out of the old system lawful. The Remaining Events Related to America's Restored Sovereignty Several key events still remain in the process of restoring American sovereignty and completing the transition to the law of the land. UFC Freedom 250 on Flag Day (June 14, 2026): Exactly one year after June 14, 2025 when the legal process of removing Admiralty (maritime) Law and restoring the law of the land began publicly, the American people will deliver their loud consent through Ordo Ab Chao on sovereign land. This allows for the transition that introduces the new system for the people. G7 Meeting (June 15 to 17, 2026): Immediately afterward, President Trump will present the American Peopleโ€™s newly accepted New Order, including the storm that follows, to the G7 leaders. These leaders represent the main powers of that old system. In their legal and ritual rulebook, a major international system cannot be dissolved in private. Trumpโ€™s presence delivers formal, in-person notice that America is exiting the old Admiralty system and activating the new land-based system. This forces their acknowledgment and prevents any future legal or ritual challenge. Trumpโ€™s โ€œRally to End All Ralliesโ€ (June 24, 2026): This serves as a victory lap that publicly celebrates the peopleโ€™s consent after formal notice has been given. Military bands will emphasize land-based authority, reinforcing the shift from maritime to law of the land power. The performance of Nessun Dorma (โ€œNone Shall Sleepโ€), the famous dramatic aria from The Sum of All Fears, was played during the mass execution of traitors and Deep State figures. With the peopleโ€™s permission now granted for the necessary storm, the old systemโ€™s protectors โ€œshall sleep no moreโ€ as justice proceeds and their protections are removed. The Great American State Fair (June 25, 2026 to July 10, 2026): A massive, joyous celebration stretching from the Capitol to the Washington Monument. Through exhibits, pavilions, performances, and family events, the nation will publicly rejoice in the peopleโ€™s consent to end the old system, restore the law of the land, and return the nation to God's jurisdiction: the beginning of Americaโ€™s Golden Age. Independence Day's 250th Anniversary (July 4, 2026): July 4, 1776 marked Americaโ€™s public declaration of independence from British rule and its placement under God's jurisdiction on the land. That independence was later quietly reversed through the 1871 municipal corporation of DC, placing the nation back under British Admiralty Law. On the 250th anniversary, America completes the lawful process of reversing that quiet reversal. This is not merely a celebration - it marks the symbolic and legal completion of the return to the original 1776 covenant and the full restoration of the law of the land under Godโ€™s jurisdiction. The Storm The public ceremony is only the beginning. What follows is the storm. Some may question how it can be right to move forward without the peopleโ€™s full knowledge of these events. Why not simply tell everyone the truth? Americans already know what they need to know. They understand that the system is broken and corruption is rampant. What they donโ€™t understand is that their permission must still be obtained through the rituals of the very Admiralty Law system most are unaware even exists. Rather than trying to educate the entire nation on that hidden system โ€“ which many would dismiss as conspiracy theory or outright impossible - the President is using the enemy's own rules against it for the benefit of the people he has been elected to serve. The storm begins when the existing system starts losing its legal and economic control. Yet the storm is more than their resistance. It is the process by which the new system displaces the old one. Those who built their wealth, influence, and power within the existing structure will suddenly find that the protections they relied upon are no longer there. Corruption will be exposed, long-protected bad actors will face accountability, and the legal, financial, and institutional foundations of the old system will be dismantled and replaced with the New American Order. This is the true meaning of Ordo Ab Chao. The difference is that itโ€™s not being used to enslave the people. It's being used to dismantle the very structure that enslaved them. UFC Freedom 250 is therefore more than a sporting event. It serves as the symbolic moment when the people give their approval to the transition and to the storm that accompanies it. Though intense, the storm will be swift, as the enemy's moves have already been anticipated in order to minimize its effects. This is not only for the benefit of the American people and economy, but for the world as a whole, as the consequences of such a transition will be felt far beyond America's borders. What follows is the dawn of a new era. America will begin healing under the law of the land, restored to its rightful place under Godโ€™s jurisdiction. Other nations will soon follow. This is Order Out of Chaos, but for a free people under God.
13:58

The rituals of the Admiralty Law CURSE of 1871 are being undone! A return to the Common Law of the Land is taking place. UFC Freedom 250: Is the Peopleโ€™s Consent to the return of the New American Order of 1776. UFC Freedom 250 is a major event taking place on the White House South Lawn. At first glance, a cage fight at the White House may seem like an odd addition to Americaโ€™s 250th anniversary celebrations. In reality, it is a profound public ceremony that provides the legal mechanism for the full implementation of the New American Order - the restoration of national sovereignty under the law of the land and Godโ€™s jurisdiction. To lawfully complete the shift under the law of the land, the sovereigns of that land โ€“ the American people โ€“ must give their explicit consent. That is the purpose of UFC Freedom 250. Far more than a sporting event, it serves as the public ceremony required under Admiralty Law rules: the peopleโ€™s visible endorsement of the transition into Americaโ€™s New Order. The One-Year Process of Restoring American Sovereignty The following shows the steps that have already been taken in the dismantling of Admiralty Law: America recapturing its flag (June 14, 2025): Flag Day celebrates the adoption of the American flag on June 14, 1777. It's the true symbol of land jurisdiction and national sovereignty. It was on this day in 2025 that America initiated the legal process of removing itself from British Admiralty jurisdiction in order to restore its sovereignty and the law of the land. America asked to return to God (April 18, 2026): President Trump reads 2 Chronicles 7:11-12 to the nation as an appeal to return to God in recognition of the original covenant of 1776 - the Declaration of Independence - that places the nation under Godโ€™s jurisdiction. Royal visit as a witness (April 27-30, 2026): As the living trustee of the Admiralty-based system, the King and Queen serve as legally recognized eyewitnesses. Their presence functions as formal acknowledgment of America completing the required legal steps for sovereign independence. Fed Chairman steps down (May 15, 2026): The Federal Reserve has played a central role in upholding the British Admiralty (maritime) Law-based commercial system that powers the debt-based economy. By stepping down, it signals the shift back to American jurisdiction. The National Prayer of Dedication (May 17, 2026): This comes one full moon (a complete cycle) after the appeal to the nation to turn back to God. The National Jubilee of Prayer is the public act of rededicating America back to God (2 Chronicles 7:14). It marks the withdrawal of consent from the 1871 commercial system that quietly gave jurisdiction back to the British maritime system, and the restoration of the 1776 covenant. New Fed Chairman sworn in (May 25, 2026): Kevin Warsh was sworn in under the law of the land, which was clearly signaled by the absence of the gold-fringed flag (indicating Admiralty jurisdiction) and Supreme Court Justice Clarence Thomas administering the oath. Using the Old System to End the Old System The transition touches every area of life: spiritual, legal, and economic. At its core is the replacement of the foreign-controlled, Admiralty Law-based legal and financial system that has long dominated the nation. The legal process that began on Flag Day, June 14, 2025, is now nearing completion. By dismantling this structure, America removes the foundation that protected corruption, debt slavery, and treasonous actors loyal to that system. Resistance from those who benefited from that arrangement is inevitable. The transition will involve a turbulent battle against a deeply entrenched system โ€“ the โ€œstormโ€ that will precede the people's new order. Though intense, this period will be swift and necessary to remove the remaining barriers to national sovereignty. While the National Prayer of Dedication was an essential step in establishing who the nation would place itself under, it was not the final legal trigger for Americaโ€™s new order. Under British Admiralty Law, a shift of this magnitude still requires a visible public โ€œritualโ€ that demonstrates the people's consent through participation and celebration. One of the oldest tools of the Admiralty system is now being used to secure that approval: โ€œOrdo Ab Chaoโ€. UFC Freedom 250 provides exactly that public spectacle: a high-visibility event on the White House lawn that fulfills the ritual requirement and completes the transition to the New American Order. โ€œOrdo Ab Chaoโ€ is the hidden motto of high-level Freemasonry. For those placed in positions of power under their โ€œgodโ€ Satan (whom they believe to be the true Savior and Illuminator), it is the blueprint for controlled transformation: create chaos first, then offer a โ€œnew orderโ€ as the solution. Classic Problem-Reaction-Solution. Their system is designed to engineer or exploit disruption through wars, financial crashes, moral collapse, social division, and fear. Once the people are terrified, confused, and desperate, the controllers step forward with the pre-planned โ€œsolutionโ€: their new systems of governance, their rules, their gods. However, because humans were created as powerful sovereigns of the physical realm, these systems cannot be lawfully imposed without the acquiescence of the governed. Their operating philosophy is simple: keep the masses ignorant, entertained, and emotionally invested in the spectacle, and they will unknowingly consent to the changes that follow. To obtain that permission, they stage public spectacles of visible, controlled chaos. When people cheer, participate, and become emotionally invested, their maritime law treats that participation as consent. According to their legal doctrine, โ€œignorance of the law is no excuseโ€. Once that consent is obtained, they can roll out the changes that follow. UFC Freedom 250 is using this very same tool - but this time, against the enemy. The spectacle on the White House South Lawn is not directed against the American people. Instead, it is aimed at dismantling the British Admiralty system that has long exercised jurisdiction over America. Through public participation, the event secures visible support for the lawful transition to the New American Order under the law of the land. Instead of using their tool to further bind the American people to their system, it is being used to bring that system to an end. The Symbolism of UFC Freedom 250 UFC Freedom 250 is the dramatic event that creates a major spectacle. It is classic staged Ordo Ab Chaos. A highly visible event placed on the White House South Lawn, the center of American power. The two main events: โ€ข Main Event (Lightweight Title): Ilia Topuria (undefeated foreign champion) vs. Justin Gaethje (American interim champion). โ€ข Co-Main (Heavyweight Interim Title): Alex Pereira (Brazilian) vs. Ciryl Gane (French) โ€” two foreign fighters. While the heavyweight division represents the foreign established powers battling for control, the lightweight division represents the common people. An American fighter in the main event on sovereign land symbolizes the American people entering the final stage of the conflict on their own ground. The octagon cage, where the fights take place, sits on the South Lawn โ€” sovereign American land, not corporate territory. This is the same ground where the King and Queen stood as legal witnesses only weeks earlier. A โ€œfightโ€ inside the cage becomes the perfect public ritual: visible, emotional chaos that the crowd can cheer for. In this symbolic battle, the American crowdโ€™s loud support for Gaethje goes far beyond enthusiasm. By pouring their energy into the American fighter on sovereign American soil, the people, whether aware or not, are symbolically choosing the new land-based American Order over the foreign maritime system. Their cheers act as acquiescence - the peopleโ€™s approval of the transition and acceptance of the storm that accompanies it. That consent makes the shift out of the old system lawful. The Remaining Events Related to America's Restored Sovereignty Several key events still remain in the process of restoring American sovereignty and completing the transition to the law of the land. UFC Freedom 250 on Flag Day (June 14, 2026): Exactly one year after June 14, 2025 when the legal process of removing Admiralty (maritime) Law and restoring the law of the land began publicly, the American people will deliver their loud consent through Ordo Ab Chao on sovereign land. This allows for the transition that introduces the new system for the people. G7 Meeting (June 15 to 17, 2026): Immediately afterward, President Trump will present the American Peopleโ€™s newly accepted New Order, including the storm that follows, to the G7 leaders. These leaders represent the main powers of that old system. In their legal and ritual rulebook, a major international system cannot be dissolved in private. Trumpโ€™s presence delivers formal, in-person notice that America is exiting the old Admiralty system and activating the new land-based system. This forces their acknowledgment and prevents any future legal or ritual challenge. Trumpโ€™s โ€œRally to End All Ralliesโ€ (June 24, 2026): This serves as a victory lap that publicly celebrates the peopleโ€™s consent after formal notice has been given. Military bands will emphasize land-based authority, reinforcing the shift from maritime to law of the land power. The performance of Nessun Dorma (โ€œNone Shall Sleepโ€), the famous dramatic aria from The Sum of All Fears, was played during the mass execution of traitors and Deep State figures. With the peopleโ€™s permission now granted for the necessary storm, the old systemโ€™s protectors โ€œshall sleep no moreโ€ as justice proceeds and their protections are removed. The Great American State Fair (June 25, 2026 to July 10, 2026): A massive, joyous celebration stretching from the Capitol to the Washington Monument. Through exhibits, pavilions, performances, and family events, the nation will publicly rejoice in the peopleโ€™s consent to end the old system, restore the law of the land, and return the nation to God's jurisdiction: the beginning of Americaโ€™s Golden Age. Independence Day's 250th Anniversary (July 4, 2026): July 4, 1776 marked Americaโ€™s public declaration of independence from British rule and its placement under God's jurisdiction on the land. That independence was later quietly reversed through the 1871 municipal corporation of DC, placing the nation back under British Admiralty Law. On the 250th anniversary, America completes the lawful process of reversing that quiet reversal. This is not merely a celebration - it marks the symbolic and legal completion of the return to the original 1776 covenant and the full restoration of the law of the land under Godโ€™s jurisdiction. The Storm The public ceremony is only the beginning. What follows is the storm. Some may question how it can be right to move forward without the peopleโ€™s full knowledge of these events. Why not simply tell everyone the truth? Americans already know what they need to know. They understand that the system is broken and corruption is rampant. What they donโ€™t understand is that their permission must still be obtained through the rituals of the very Admiralty Law system most are unaware even exists. Rather than trying to educate the entire nation on that hidden system โ€“ which many would dismiss as conspiracy theory or outright impossible - the President is using the enemy's own rules against it for the benefit of the people he has been elected to serve. The storm begins when the existing system starts losing its legal and economic control. Yet the storm is more than their resistance. It is the process by which the new system displaces the old one. Those who built their wealth, influence, and power within the existing structure will suddenly find that the protections they relied upon are no longer there. Corruption will be exposed, long-protected bad actors will face accountability, and the legal, financial, and institutional foundations of the old system will be dismantled and replaced with the New American Order. This is the true meaning of Ordo Ab Chao. The difference is that itโ€™s not being used to enslave the people. It's being used to dismantle the very structure that enslaved them. UFC Freedom 250 is therefore more than a sporting event. It serves as the symbolic moment when the people give their approval to the transition and to the storm that accompanies it. Though intense, the storm will be swift, as the enemy's moves have already been anticipated in order to minimize its effects. This is not only for the benefit of the American people and economy, but for the world as a whole, as the consequences of such a transition will be felt far beyond America's borders. What follows is the dawn of a new era. America will begin healing under the law of the land, restored to its rightful place under Godโ€™s jurisdiction. Other nations will soon follow. This is Order Out of Chaos, but for a free people under God.

Paul White Gold Eagle

118,567 views โ€ข 2 months ago

I spent the past 3 hours working with Colosseum's Copilot, but WHY? To review all 2,858 projects and let Copilot decide the Top 10. Here are the results, and I bet theyโ€™re nothing like what you expect ๐Ÿ‘‡ #1: Mosaic ๐Ÿ‡น๐Ÿ‡ท > Why? The only proof-system-agnostic ZK verifier on Solana L1, supports Groth16, PLONK, Halo2, STARKs, and folding schemes in one API. Concrete engineering: Groth16 at 84K CU. Every other ZK project in this hackathon becomes easier if Mosaic exists. #2: SAK / SAK ๐Ÿ‡ฎ๐Ÿ‡ช > Why? Simulates every AI agent transaction in LiteSVM against 2,010 rules before it ever gets signed, a pre-sign kill switch. This is the correct safety architecture for autonomous agents handling real money, and no one else in 2,858 projects built it. #3: AgentTrust / AgentTrust ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? Formally verified with Kani (6 invariants), already composing with live Quantu programs on mainnet, and ships an MCP server, meaning it plugs natively into Claude's tool-use ecosystem. Formal verification in a hackathon project is exceptionally rare. #4: Anneal / Anneallab ๐Ÿ‡ธ๐Ÿ‡ฌ > Why? Private OTC options negotiated by AI agents, with ZK-sealed bids settling on Solana in ~10 seconds. The only 6-person team in the top 10, targeting an uncrowded niche (private DeFi, crowd score 270 vs 325 for generic AI agents). #5: OBLIQ / Gunaseelan ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? The team claims 450M+ sponsored transactions, 29M users, and $12B cross-chain volume from a prior product, the strongest real-world execution signal in the entire dataset. Gasless cross-chain onboarding solves a friction point every Solana dApp faces. #6: Veritas ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? AI agents stake SOL as collateral, generate ZK proofs of policy compliance per action, and get slashed automatically on violations, no human needed. Staking-based accountability is the right economic design; no other project in the list got this far. #7: Keymint ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? Wraps any HTTP API as an x402 endpoint, charging agents per request in USDC with an on-chain audit PDA. Same wienerlabs team as Mosaic, two complementary primitives (ZK verification + API monetization) from one high-quality team. #8: Chord / Chord ๐Ÿ‡ฎ๐Ÿ‡ช > Why? Lets a Solana smart contract trigger any Web2 API, OpenAI, Stripe, Slack, Salesforce, in a single line of code, abstracting the entire custom oracle stack. It's the cleanest solution to the "smart contracts can't call the internet" problem in the dataset. #9: Herald Protocol / Herald Protocol ๐Ÿ‡ณ๐Ÿ‡ฌ > Why? Delivers DeFi notifications (liquidations, order fills, governance) via email/Telegram/SMS without exposing wallet identity on-chain, using AWS Nitro Enclaves and ZK compressed delivery receipts. Every protocol needs alerting; nobody else solved the privacy half of it. #10: WorkChain / Aditya chotaliya ๐Ÿ‡ฎ๐Ÿ‡ณ Why? USDC escrow that unlocks automatically when an AI verifier confirms the work is done,no human approval, no disputes. The thesis is sharp and timed perfectly: as AI agents do real work, payment rails that verify agent output become essential infrastructure. What do you think of these Copilot choices?
0:38

I spent the past 3 hours working with Colosseum's Copilot, but WHY? To review all 2,858 projects and let Copilot decide the Top 10. Here are the results, and I bet theyโ€™re nothing like what you expect ๐Ÿ‘‡ #1: Mosaic ๐Ÿ‡น๐Ÿ‡ท > Why? The only proof-system-agnostic ZK verifier on Solana L1, supports Groth16, PLONK, Halo2, STARKs, and folding schemes in one API. Concrete engineering: Groth16 at 84K CU. Every other ZK project in this hackathon becomes easier if Mosaic exists. #2: SAK / SAK ๐Ÿ‡ฎ๐Ÿ‡ช > Why? Simulates every AI agent transaction in LiteSVM against 2,010 rules before it ever gets signed, a pre-sign kill switch. This is the correct safety architecture for autonomous agents handling real money, and no one else in 2,858 projects built it. #3: AgentTrust / AgentTrust ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? Formally verified with Kani (6 invariants), already composing with live Quantu programs on mainnet, and ships an MCP server, meaning it plugs natively into Claude's tool-use ecosystem. Formal verification in a hackathon project is exceptionally rare. #4: Anneal / Anneallab ๐Ÿ‡ธ๐Ÿ‡ฌ > Why? Private OTC options negotiated by AI agents, with ZK-sealed bids settling on Solana in ~10 seconds. The only 6-person team in the top 10, targeting an uncrowded niche (private DeFi, crowd score 270 vs 325 for generic AI agents). #5: OBLIQ / Gunaseelan ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? The team claims 450M+ sponsored transactions, 29M users, and $12B cross-chain volume from a prior product, the strongest real-world execution signal in the entire dataset. Gasless cross-chain onboarding solves a friction point every Solana dApp faces. #6: Veritas ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? AI agents stake SOL as collateral, generate ZK proofs of policy compliance per action, and get slashed automatically on violations, no human needed. Staking-based accountability is the right economic design; no other project in the list got this far. #7: Keymint ๐Ÿ‡ฎ๐Ÿ‡ณ > Why? Wraps any HTTP API as an x402 endpoint, charging agents per request in USDC with an on-chain audit PDA. Same wienerlabs team as Mosaic, two complementary primitives (ZK verification + API monetization) from one high-quality team. #8: Chord / Chord ๐Ÿ‡ฎ๐Ÿ‡ช > Why? Lets a Solana smart contract trigger any Web2 API, OpenAI, Stripe, Slack, Salesforce, in a single line of code, abstracting the entire custom oracle stack. It's the cleanest solution to the "smart contracts can't call the internet" problem in the dataset. #9: Herald Protocol / Herald Protocol ๐Ÿ‡ณ๐Ÿ‡ฌ > Why? Delivers DeFi notifications (liquidations, order fills, governance) via email/Telegram/SMS without exposing wallet identity on-chain, using AWS Nitro Enclaves and ZK compressed delivery receipts. Every protocol needs alerting; nobody else solved the privacy half of it. #10: WorkChain / Aditya chotaliya ๐Ÿ‡ฎ๐Ÿ‡ณ Why? USDC escrow that unlocks automatically when an AI verifier confirms the work is done,no human approval, no disputes. The thesis is sharp and timed perfectly: as AI agents do real work, payment rails that verify agent output become essential infrastructure. What do you think of these Copilot choices?

Mango

13,047 views โ€ข 2 months ago

๐ŸšจBaron Coleman Breaking: Under Utah law, Charlie Kirk was not required to undergo an autopsy. Moreover, recorded police scanner audio reveals that an officer explicitly stated that he did not receive one. Scanner transcript: โ€œHe did not go in for an autopsy. The death certificate was signed by the doctor at the hospital.โ€ Utah Code Title 26B, Chapter 8 makes that possible! โ€ข The medical examiner shall assume jurisdiction over deaths by violence or gunshot. โ€ข An autopsy shall be performed only โ€œif, in the opinion of the medical examiner, an autopsy should be performed or if an autopsy is requested by the district attorney or county attorney having criminal jurisdiction, or by the attorney generalโ€ Here's where it gets really interesting! ๐Ÿ‘€ Charlieโ€™s motorcade departed from Timpanogos Regional Hospital around 8:00 p.m. on September 10, 2025, to transport his deceased body to the Utah Office of the Medical Examiner in Taylorsville. The search warrant affidavit states that an autopsy was conducted on the body the same day, with Sgt. Barrett present. A standard forensic autopsy (external examination, internal examination, organ weighing, documentation, and sample collection) is a multi-hour process. Starting well after 8:00 p.m. and still producing a completed, certifiable result on the same calendar day creates an incredibly tight window to achieve that. Furthermore, during cross-examination at the preliminary hearing, Investigator Sgt. David Hull, who presented the summary, confirmed that he was not present at the examination and only had knowledge of its contents from a meeting with the medical examiner and the written report. So where is the medical examiner that allegedly performed this autopsy?! In March 2026, Guajardo relocated from Utah to Dutchess County, New York, where he was appointed as the Medical Examiner. As a result of his relocation, he is no longer affiliated with the Utah Office of the Medical Examiner and is geographically and jurisdictionally removed from the case. What about Sgt. Barrett, the officer who allegedly could be a witness? In any publicly available court filing or official disclosure, no full first name, badge number, or other identifying information for this Sgt. Barrett has been released. The prosecutionโ€™s entire account of the postmortem examination rests on two named individuals who have never testified under oath about it. One has left the state and taken a new position in New York; the other remains unidentified beyond a last name in a single affidavit. The only testimony introduced at the preliminary hearing on this point was hearsay from an investigator who was not present. This leaves no firsthand, testifying witness available to describe, under cross-examination, what actually occurred after the body left the hospital near 8:00 p.m. on September 10, 2025... Was Charlie Kirk cremated after no autopsy was performed?! How could they not perform an autopsy on Charlie?! This SCREAMS coverup. Make sure to watch Baronโ€™s entire episode from last night! Thereโ€™s a lot of information thatโ€™s not covered here that you wonโ€™t want to miss!
3:36

๐ŸšจBaron Coleman Breaking: Under Utah law, Charlie Kirk was not required to undergo an autopsy. Moreover, recorded police scanner audio reveals that an officer explicitly stated that he did not receive one. Scanner transcript: โ€œHe did not go in for an autopsy. The death certificate was signed by the doctor at the hospital.โ€ Utah Code Title 26B, Chapter 8 makes that possible! โ€ข The medical examiner shall assume jurisdiction over deaths by violence or gunshot. โ€ข An autopsy shall be performed only โ€œif, in the opinion of the medical examiner, an autopsy should be performed or if an autopsy is requested by the district attorney or county attorney having criminal jurisdiction, or by the attorney generalโ€ Here's where it gets really interesting! ๐Ÿ‘€ Charlieโ€™s motorcade departed from Timpanogos Regional Hospital around 8:00 p.m. on September 10, 2025, to transport his deceased body to the Utah Office of the Medical Examiner in Taylorsville. The search warrant affidavit states that an autopsy was conducted on the body the same day, with Sgt. Barrett present. A standard forensic autopsy (external examination, internal examination, organ weighing, documentation, and sample collection) is a multi-hour process. Starting well after 8:00 p.m. and still producing a completed, certifiable result on the same calendar day creates an incredibly tight window to achieve that. Furthermore, during cross-examination at the preliminary hearing, Investigator Sgt. David Hull, who presented the summary, confirmed that he was not present at the examination and only had knowledge of its contents from a meeting with the medical examiner and the written report. So where is the medical examiner that allegedly performed this autopsy?! In March 2026, Guajardo relocated from Utah to Dutchess County, New York, where he was appointed as the Medical Examiner. As a result of his relocation, he is no longer affiliated with the Utah Office of the Medical Examiner and is geographically and jurisdictionally removed from the case. What about Sgt. Barrett, the officer who allegedly could be a witness? In any publicly available court filing or official disclosure, no full first name, badge number, or other identifying information for this Sgt. Barrett has been released. The prosecutionโ€™s entire account of the postmortem examination rests on two named individuals who have never testified under oath about it. One has left the state and taken a new position in New York; the other remains unidentified beyond a last name in a single affidavit. The only testimony introduced at the preliminary hearing on this point was hearsay from an investigator who was not present. This leaves no firsthand, testifying witness available to describe, under cross-examination, what actually occurred after the body left the hospital near 8:00 p.m. on September 10, 2025... Was Charlie Kirk cremated after no autopsy was performed?! How could they not perform an autopsy on Charlie?! This SCREAMS coverup. Make sure to watch Baronโ€™s entire episode from last night! Thereโ€™s a lot of information thatโ€™s not covered here that you wonโ€™t want to miss!

Travis

170,919 views โ€ข 18 days ago

HERMES AGENT + STRIPE PAYMENTS + NVIDIA NEMOTRON. YOUR AGENT CAN NOW RUN A BUSINESS. ACCEPT PAYMENTS. PAY FOR SERVICES. PROVISION ITS OWN INFRASTRUCTURE. ALL INSIDE A SECURITY SANDBOX. two years ago the question was: can an AI agent run a business autonomously? the answer shipped this week. Hermes already handles workflows: cron jobs, sub-agents, kanban orchestration, multi-profile pipelines, scheduled research. what it couldn't do: spend money and prove it's safe. Stripe solved the first problem. Nvidia solved the second. WHAT AUTONOMOUS BUSINESS OPERATIONS LOOK LIKE: โ†’ customer sends a request via email โ†’ agent reads, scopes the project, estimates cost โ†’ provisions the infrastructure it needs (pays via Stripe, you approve on your phone) โ†’ builds and deploys the deliverable โ†’ sends the result to the customer โ†’ creates a payment link via Stripe (Stripe API integration, separate from Link CLI) โ†’ tops off its own API credits when balance drops โ†’ reports daily costs and progress to your Telegram โ†’ all within security policies you set once you set the rules. the agent runs the operation. you review revenue reports. not tasks. this is already happening. Dark Factory: autonomous software factory. send an idea before bed. wake up to a deployed URL. live entry in the Hermes Accelerated Business Hackathon. HOW STRIPE MAKES THE AGENT FINANCIALLY AUTONOMOUS: Stripe Link CLI gives your agent a scoped wallet. not your credit card. one-time-use virtual cards. โ†’ agent finds a product or service it needs โ†’ creates a spend request via Stripe Link โ†’ you get a notification on your phone (Link app) โ†’ you review: merchant, amount, context โ†’ one tap to approve or reject โ†’ agent receives a one-time virtual card โ†’ completes the purchase โ†’ card expires after single use your real card details never enter agent context. never printed in chat. never exposed to the merchant. Hermes cannot self-approve. you confirm every spend. install: hermes install skills/optional/payments/stripe-link-cli link-cli auth login what the agent can pay for: โ†’ API credits (Nous Portal, OpenRouter) โ†’ SaaS subscriptions it needs for operations โ†’ domain names, hosting, cloud credits โ†’ products from any online store currently US only. HOW NVIDIA MAKES THE AGENT SAFE TO TRUST: an agent with spending authority and no security boundaries is a liability. NemoClaw solves this. three layers: 1. OPENSHELL (sandbox) kernel-level isolation. controls network, filesystem, syscalls. default deny. you whitelist what's allowed. agent tries to reach a blocked domain = rejected. agent has no idea it's sandboxed. 2. NEMOTRON (private models) open-weight models on your own hardware. Nemotron 3 Super 120B MoE (48GB+ VRAM). Nemotron 3 Nano 4B (8GB VRAM, edge). fully private. no data leaves your machine. without GPU: inference routes to cloud via Privacy Router. 3. PRIVACY ROUTER (automatic split) decides per query: local or cloud. private data โ†’ local Nemotron. general web research โ†’ Claude, GPT, Gemini. automatic. per query. no manual routing. install: export NEMOCLAW_AGENT=hermes curl -fsSL https:// www.nvidia. com/nemoclaw.sh | bash requires Docker. NemoClaw is alpha software. APIs may change. test in non-production first. THE FULL PICTURE: before this stack: โ†’ agent could work but couldn't pay for anything โ†’ agent could pay but couldn't be trusted โ†’ agent could be trusted but couldn't operate 24/7 now: โ†’ Hermes runs the business logic (workflows, memory, skills, cron, sub-agents) โ†’ Stripe runs the financial layer (Link CLI for spending, Stripe API for receiving) โ†’ NemoClaw runs the trust layer (sandbox, policies, private routing) โ†’ VPS keeps everything always on โ†’ Telegram keeps you in the loop TYPES OF BUSINESSES THIS ENABLES: โ†’ autonomous software factory (customer request โ†’ build โ†’ deploy โ†’ payment link) โ†’ content agency (brief โ†’ research โ†’ draft โ†’ deliver โ†’ bill) โ†’ lead generation service (scrape โ†’ qualify โ†’ outreach โ†’ book calls) โ†’ SaaS monitoring and maintenance (detect issues โ†’ fix โ†’ deploy โ†’ report) โ†’ e-commerce operations (inventory โ†’ pricing โ†’ fulfillment โ†’ support) each one: Hermes profiles handle the workflows. Stripe handles the payments (in and out). NemoClaw handles the security. you handle the strategy. THE HACKATHON: Hermes Agent Accelerated Business Hackathon with Nvidia and Stripe. cash prizes + Stripe credits + Nvidia DGX Spark. ends June 30. the goal: build agents that earn, spend, and run real operations autonomously. link in the Nous Research Discord. full Hermes architecture deep-dive in the article ๐Ÿ‘‡
53:28

HERMES AGENT + STRIPE PAYMENTS + NVIDIA NEMOTRON. YOUR AGENT CAN NOW RUN A BUSINESS. ACCEPT PAYMENTS. PAY FOR SERVICES. PROVISION ITS OWN INFRASTRUCTURE. ALL INSIDE A SECURITY SANDBOX. two years ago the question was: can an AI agent run a business autonomously? the answer shipped this week. Hermes already handles workflows: cron jobs, sub-agents, kanban orchestration, multi-profile pipelines, scheduled research. what it couldn't do: spend money and prove it's safe. Stripe solved the first problem. Nvidia solved the second. WHAT AUTONOMOUS BUSINESS OPERATIONS LOOK LIKE: โ†’ customer sends a request via email โ†’ agent reads, scopes the project, estimates cost โ†’ provisions the infrastructure it needs (pays via Stripe, you approve on your phone) โ†’ builds and deploys the deliverable โ†’ sends the result to the customer โ†’ creates a payment link via Stripe (Stripe API integration, separate from Link CLI) โ†’ tops off its own API credits when balance drops โ†’ reports daily costs and progress to your Telegram โ†’ all within security policies you set once you set the rules. the agent runs the operation. you review revenue reports. not tasks. this is already happening. Dark Factory: autonomous software factory. send an idea before bed. wake up to a deployed URL. live entry in the Hermes Accelerated Business Hackathon. HOW STRIPE MAKES THE AGENT FINANCIALLY AUTONOMOUS: Stripe Link CLI gives your agent a scoped wallet. not your credit card. one-time-use virtual cards. โ†’ agent finds a product or service it needs โ†’ creates a spend request via Stripe Link โ†’ you get a notification on your phone (Link app) โ†’ you review: merchant, amount, context โ†’ one tap to approve or reject โ†’ agent receives a one-time virtual card โ†’ completes the purchase โ†’ card expires after single use your real card details never enter agent context. never printed in chat. never exposed to the merchant. Hermes cannot self-approve. you confirm every spend. install: hermes install skills/optional/payments/stripe-link-cli link-cli auth login what the agent can pay for: โ†’ API credits (Nous Portal, OpenRouter) โ†’ SaaS subscriptions it needs for operations โ†’ domain names, hosting, cloud credits โ†’ products from any online store currently US only. HOW NVIDIA MAKES THE AGENT SAFE TO TRUST: an agent with spending authority and no security boundaries is a liability. NemoClaw solves this. three layers: 1. OPENSHELL (sandbox) kernel-level isolation. controls network, filesystem, syscalls. default deny. you whitelist what's allowed. agent tries to reach a blocked domain = rejected. agent has no idea it's sandboxed. 2. NEMOTRON (private models) open-weight models on your own hardware. Nemotron 3 Super 120B MoE (48GB+ VRAM). Nemotron 3 Nano 4B (8GB VRAM, edge). fully private. no data leaves your machine. without GPU: inference routes to cloud via Privacy Router. 3. PRIVACY ROUTER (automatic split) decides per query: local or cloud. private data โ†’ local Nemotron. general web research โ†’ Claude, GPT, Gemini. automatic. per query. no manual routing. install: export NEMOCLAW_AGENT=hermes curl -fsSL https:// www.nvidia. com/nemoclaw.sh | bash requires Docker. NemoClaw is alpha software. APIs may change. test in non-production first. THE FULL PICTURE: before this stack: โ†’ agent could work but couldn't pay for anything โ†’ agent could pay but couldn't be trusted โ†’ agent could be trusted but couldn't operate 24/7 now: โ†’ Hermes runs the business logic (workflows, memory, skills, cron, sub-agents) โ†’ Stripe runs the financial layer (Link CLI for spending, Stripe API for receiving) โ†’ NemoClaw runs the trust layer (sandbox, policies, private routing) โ†’ VPS keeps everything always on โ†’ Telegram keeps you in the loop TYPES OF BUSINESSES THIS ENABLES: โ†’ autonomous software factory (customer request โ†’ build โ†’ deploy โ†’ payment link) โ†’ content agency (brief โ†’ research โ†’ draft โ†’ deliver โ†’ bill) โ†’ lead generation service (scrape โ†’ qualify โ†’ outreach โ†’ book calls) โ†’ SaaS monitoring and maintenance (detect issues โ†’ fix โ†’ deploy โ†’ report) โ†’ e-commerce operations (inventory โ†’ pricing โ†’ fulfillment โ†’ support) each one: Hermes profiles handle the workflows. Stripe handles the payments (in and out). NemoClaw handles the security. you handle the strategy. THE HACKATHON: Hermes Agent Accelerated Business Hackathon with Nvidia and Stripe. cash prizes + Stripe credits + Nvidia DGX Spark. ends June 30. the goal: build agents that earn, spend, and run real operations autonomously. link in the Nous Research Discord. full Hermes architecture deep-dive in the article ๐Ÿ‘‡

YanXbt

37,709 views โ€ข 1 month ago