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[A celebration] RELEASE! Ankha Model:Zy0n7 Voice:🩷🦋HeavenPink Vtuber🦋🩷 OPEN COMMS(edited) Bea model:MayoSplash🔞 (Commission closed) Voice:SuccubusPastryVA 🔞 SFX:OpenNSFW -Introless/Musicless/Textless Full 3 minutes HQ download and more animations on the chuudai page in bio >:3-

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Arathyn (3D Commission Open)

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❗️CALLING ALL VTUBERS!! ❗️ Hikari Live is a new Vtuber group I'm starting up next year and we're looking for Vtubers who want to show off their talent! We want to help you succeed!! Make friends, Grow, and more with Hikari! Hikari Team members and viewers may join the Discord server when it is released and auditions are expected to open up in late December. 🩷 What are the requirements? How many people will be in Hikari Live? Only requirements are that you must actively stream atleast 1-3 times a month and you must be a Vtuber! We plan to limit our members to 12 at the max but this may change later on! We hope to see you in Hikari soon! 🩷

Gumi 🫧🌊 | Shark Vtuber

55,790 views • 1 year ago

TradingView to Screener & Marketsmith Extension ⚠️Please before asking in comment or DM, how to install, please read the full post, i have given the instructions also, and if you still cant follow it, You will find plenty of video on youtube on how to install the plugin, or ask AI⚠️ 🙏This was a killer timesaver tool for me, Hope it helps all, please share your feedbacks or gratitude in comments, will be sharing more plugin like this in future as well ☑️Overview This Chrome Extension natively integrates with TradingView, adding quick-access buttons to your top chart header. These buttons allow you to instantly view fundamental financial data for the currently active stock symbol on or evaluate it on MarketSmith India. > Features : > Screener New Tab: Opens the consolidated financials page for the current active TradingView symbol in a new browser tab. > Screener Splitscreen: Toggles a bottom-half split screen (iframe) inside the TradingView tab to load the page directly over your charts, letting you perform fundamental and technical analysis synchronously. > Marketsmith New Tab: Opens the stock evaluation page on MarketSmith India for the active symbol in a new tab. > This extension utilizes the Manifest V3 standard APIs and works smoothly across all modern Chromium-based browsers, including: Google Chrome Microsoft Edge Brave Browser Vivaldi Opera Arc Browser ⭐ Installation Instructions (Local/Unpacked) -> 1)Download or keep this entire extension folder on your computer. 1) Download or keep this entire extension folder on your computer: For Google Chrome: type chrome://extensions/ in the address bar. For Microsoft Edge: type edge://extensions/ in the address bar. For Brave: type brave://extensions/ in the address bar. Enable Developer mode using the toggle switch (usually located in the top-right corner). 3) Click the Load unpacked button that appears. 4) In the file explorer popup, choose this exact directory (the folder containing the manifest.json file). 5) The extension is now successfully installed! Open up TradingView to play around with the newly injected buttons in the top header. Github Repo ->
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TradingView to Screener & Marketsmith Extension ⚠️Please before asking in comment or DM, how to install, please read the full post, i have given the instructions also, and if you still cant follow it, You will find plenty of video on youtube on how to install the plugin, or ask AI⚠️ 🙏This was a killer timesaver tool for me, Hope it helps all, please share your feedbacks or gratitude in comments, will be sharing more plugin like this in future as well ☑️Overview This Chrome Extension natively integrates with TradingView, adding quick-access buttons to your top chart header. These buttons allow you to instantly view fundamental financial data for the currently active stock symbol on or evaluate it on MarketSmith India. > Features : > Screener New Tab: Opens the consolidated financials page for the current active TradingView symbol in a new browser tab. > Screener Splitscreen: Toggles a bottom-half split screen (iframe) inside the TradingView tab to load the page directly over your charts, letting you perform fundamental and technical analysis synchronously. > Marketsmith New Tab: Opens the stock evaluation page on MarketSmith India for the active symbol in a new tab. > This extension utilizes the Manifest V3 standard APIs and works smoothly across all modern Chromium-based browsers, including: Google Chrome Microsoft Edge Brave Browser Vivaldi Opera Arc Browser ⭐ Installation Instructions (Local/Unpacked) -> 1)Download or keep this entire extension folder on your computer. 1) Download or keep this entire extension folder on your computer: For Google Chrome: type chrome://extensions/ in the address bar. For Microsoft Edge: type edge://extensions/ in the address bar. For Brave: type brave://extensions/ in the address bar. Enable Developer mode using the toggle switch (usually located in the top-right corner). 3) Click the Load unpacked button that appears. 4) In the file explorer popup, choose this exact directory (the folder containing the manifest.json file). 5) The extension is now successfully installed! Open up TradingView to play around with the newly injected buttons in the top header. Github Repo ->

Roshan Kumar

14,810 views • 4 months ago

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈
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Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈

Felipe Guirao

30,972 views • 7 months ago

ClawTeam v0.2.0 is here. One CLI to coordinate any coding agent — Claude Code, Codex, OpenClaw, nanobot, and more — into a self‑organizing swarm that plans, builds, and ships together. What's new in v0.2.0: 1) - Gource Visualization — Watch your agent swarm’s Git activity in real time. Clear. Visual. Instant. Run: clawteam board gource --live See every commit, branch, and merge as it happens. Track what each agent is doing. 2) - Runtime Profiles — A provider‑aware configuration system. Switch between Claude, Kimi, and Gemini anytime. No need to edit environment variables. Run clawteam profile wizard. Follow the interactive setup. Done in minutes. 3) - Git-Based Context — Full worktree isolation with built‑in conflict detection and change tracking. Each agent works on its own branch, and the leader can see everything clearly in one place. 4) - Stability & Hardening — Spawn/workspace conflict fixes, improved tmux integration, message normalization, P2P liveness with lease-based detection. This release is about making the foundation rock-solid. --------------------------------------------------------- To show what a coordinated agent swarm can actually do, we ran 1 Claude Code orchestrating 8 Claude Code agents to build a robotics simulation system optimized for Apple Silicon — from scratch. 8 hours. 300+ PRs. One running simulator. Check the result: --------------------------------------------------------- Huge thanks to the open-source community for the feedback, issues, and PRs that shaped this release. ClawTeam is built in the open because we believe multi-agent coordination should be a shared primitive, not a proprietary moat. Try it: pip install clawteam Docs: GitHub: #ClawTeam #nanobot #AIAgents #openclaw #ClaudeCode #Cursor
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ClawTeam v0.2.0 is here. One CLI to coordinate any coding agent — Claude Code, Codex, OpenClaw, nanobot, and more — into a self‑organizing swarm that plans, builds, and ships together. What's new in v0.2.0: 1) - Gource Visualization — Watch your agent swarm’s Git activity in real time. Clear. Visual. Instant. Run: clawteam board gource --live See every commit, branch, and merge as it happens. Track what each agent is doing. 2) - Runtime Profiles — A provider‑aware configuration system. Switch between Claude, Kimi, and Gemini anytime. No need to edit environment variables. Run clawteam profile wizard. Follow the interactive setup. Done in minutes. 3) - Git-Based Context — Full worktree isolation with built‑in conflict detection and change tracking. Each agent works on its own branch, and the leader can see everything clearly in one place. 4) - Stability & Hardening — Spawn/workspace conflict fixes, improved tmux integration, message normalization, P2P liveness with lease-based detection. This release is about making the foundation rock-solid. --------------------------------------------------------- To show what a coordinated agent swarm can actually do, we ran 1 Claude Code orchestrating 8 Claude Code agents to build a robotics simulation system optimized for Apple Silicon — from scratch. 8 hours. 300+ PRs. One running simulator. Check the result: --------------------------------------------------------- Huge thanks to the open-source community for the feedback, issues, and PRs that shaped this release. ClawTeam is built in the open because we believe multi-agent coordination should be a shared primitive, not a proprietary moat. Try it: pip install clawteam Docs: GitHub: #ClawTeam #nanobot #AIAgents #openclaw #ClaudeCode #Cursor

Chao Huang

25,101 views • 3 months ago

🚨12 HOUR NEWS RECAP 1.⁠ Trump warned that all airspace over and around Venezuela is now “closed in its entirety,” a blunt message delivered as U.S. forces intensify pressure on Maduro. 2.⁠ U.S. Navy jets have been flying low and “dark” just miles off Venezuela’s coast - even orbiting over Maduro’s airspace with transponders off - as the Ford carrier group ramps up pressure. 3.⁠ Maduro’s presidential jet landed on the Venezuela-Brazil border with no explanation, sparking speculation he may be fleeing as his regime teeters. 4.⁠ Russia sent Tu-22M3 bombers armed with Mach-5 Kh-32 missiles over the Baltic, escorted by Su-35 fighters, in a five-hour show of force that showcased long-range strike power right on NATO’s doorstep. 5.⁠ Germany is rolling out Israel’s Arrow-3 missile defense system - the first deployment outside Israel - bringing a space-intercepting, Iran-war-proven shield to Europe as it scrambles to prepare for high-speed missile threats. 6.⁠ A child’s birthday party in the U.S turned into a massacre when a targeted shooting killed 4 people - including kids - and wounded 10 more, with witnesses describing a minute-long “war zone” as the gunman fled and the FBI joined the manhunt. 7.⁠ FBI Director Kash Patel says a hidden cache of Trump-Russia probe documents - stuffed into “burn bags” in a locked room at FBI HQ - is being prepared for full public release, promising to expose everything. 8.⁠ Turkey’s new Kızılelma combat drone just became the first to autonomously hunt, lock onto, and shoot down a jet-powered target with its own radar, marking the arrival of true drone-vs-jet warfare. 9.⁠ A Cuban illegal with a long rap sheet beheaded his motel manager in front of the man’s wife and child, yet Dallas County’s Soros-backed DA has taken the death penalty off the table - offering only life without parole in a case Trump has already blasted as the brutal consequence of soft-on-crime policies. 10.⁠ UK councils are rolling out AI-enabled drone fleets to monitor everything from “antisocial behaviour” to daily life, turning routine governance into a full-blown surveillance state that feels more like Orwell than public safety.
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🚨12 HOUR NEWS RECAP 1.⁠ Trump warned that all airspace over and around Venezuela is now “closed in its entirety,” a blunt message delivered as U.S. forces intensify pressure on Maduro. 2.⁠ U.S. Navy jets have been flying low and “dark” just miles off Venezuela’s coast - even orbiting over Maduro’s airspace with transponders off - as the Ford carrier group ramps up pressure. 3.⁠ Maduro’s presidential jet landed on the Venezuela-Brazil border with no explanation, sparking speculation he may be fleeing as his regime teeters. 4.⁠ Russia sent Tu-22M3 bombers armed with Mach-5 Kh-32 missiles over the Baltic, escorted by Su-35 fighters, in a five-hour show of force that showcased long-range strike power right on NATO’s doorstep. 5.⁠ Germany is rolling out Israel’s Arrow-3 missile defense system - the first deployment outside Israel - bringing a space-intercepting, Iran-war-proven shield to Europe as it scrambles to prepare for high-speed missile threats. 6.⁠ A child’s birthday party in the U.S turned into a massacre when a targeted shooting killed 4 people - including kids - and wounded 10 more, with witnesses describing a minute-long “war zone” as the gunman fled and the FBI joined the manhunt. 7.⁠ FBI Director Kash Patel says a hidden cache of Trump-Russia probe documents - stuffed into “burn bags” in a locked room at FBI HQ - is being prepared for full public release, promising to expose everything. 8.⁠ Turkey’s new Kızılelma combat drone just became the first to autonomously hunt, lock onto, and shoot down a jet-powered target with its own radar, marking the arrival of true drone-vs-jet warfare. 9.⁠ A Cuban illegal with a long rap sheet beheaded his motel manager in front of the man’s wife and child, yet Dallas County’s Soros-backed DA has taken the death penalty off the table - offering only life without parole in a case Trump has already blasted as the brutal consequence of soft-on-crime policies. 10.⁠ UK councils are rolling out AI-enabled drone fleets to monitor everything from “antisocial behaviour” to daily life, turning routine governance into a full-blown surveillance state that feels more like Orwell than public safety.

Mario Nawfal

499,864 views • 7 months ago

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre
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GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,075 views • 29 days ago

You guys asked for a deeper sim and that's what 2.9 is. Submitted. Rebuilt Avatars: Player avatars completely redone. 14 hairstyles, 8 skin tones, 6 hair colors, beard options, all at higher resolution. Over 50,000 combinations across the 4,700+ players the game generates. Coach avatars got the same revamp. Player Cards: Cards rebuilt from scratch to feel like a broadcast graphic. Team-color gradient hero that pulls each program's actual colors, oversized OVR display, archetype line, headline stat strip, and tabs for stats, ratings, game logs, and bio. Coaching Systems: Biggest gameplay shift in this build. You pick an offensive scheme and a defensive scheme and they change how your team plays. 6 offensive options (Run & Gun, Motion, Pick & Roll, Princeton, Post-Centric, Balanced) and 6 defensive options (Man, 2-3, 3-2, 1-3-1, Press/Trap, Pack Line). Run & Gun teams shoot more threes and turn the ball over more. Pack Line teams give up fewer paint points but allow more open looks. Same modifiers run in live games and background sims so your scheme matters either way. Scout Cards: Tap any team and you can now see their offensive and defensive playstyle laid out in full. Real game-planning is finally possible. Facing a Press team, you can scheme around it. Facing a 2-3 zone, you can prep your shooters. Pull up an opponent before tipoff and actually know what you're up against. Recruiting Pipelines: Recruit generation now mirrors real basketball geography. Top talent clusters in real hotbeds. Class rank, position rank, and state rank show on every recruit. All-American badges flag elite prospects and State Player of the Year badges call out standouts in smaller states, but neither is an auto cheat code. An All-American is a strong prospect on paper, development still matters, and not every one pans out. State POY varies a lot by state. The real edge is taking a job in a strong pipeline state. Better states produce better players more often, and coaching in a hotbed gives you home state advantage on recruits everyone else is fighting over. Smarter Rankings + Bug Fixes: Rankings rebuilt to reflect who's actually playing the best. Quality wins matter, strength of schedule matters, bad losses hurt. Plus a long list of bug fixes from your Discord reports. If you posted a bug, it's been looked at even if I didn't reply directly. Android: Thank you for everyone who has been testing! We have finally got aversion that is ready for release and I am submitting it right now! I will keep you guys updated on when it drops❤️
0:35

You guys asked for a deeper sim and that's what 2.9 is. Submitted. Rebuilt Avatars: Player avatars completely redone. 14 hairstyles, 8 skin tones, 6 hair colors, beard options, all at higher resolution. Over 50,000 combinations across the 4,700+ players the game generates. Coach avatars got the same revamp. Player Cards: Cards rebuilt from scratch to feel like a broadcast graphic. Team-color gradient hero that pulls each program's actual colors, oversized OVR display, archetype line, headline stat strip, and tabs for stats, ratings, game logs, and bio. Coaching Systems: Biggest gameplay shift in this build. You pick an offensive scheme and a defensive scheme and they change how your team plays. 6 offensive options (Run & Gun, Motion, Pick & Roll, Princeton, Post-Centric, Balanced) and 6 defensive options (Man, 2-3, 3-2, 1-3-1, Press/Trap, Pack Line). Run & Gun teams shoot more threes and turn the ball over more. Pack Line teams give up fewer paint points but allow more open looks. Same modifiers run in live games and background sims so your scheme matters either way. Scout Cards: Tap any team and you can now see their offensive and defensive playstyle laid out in full. Real game-planning is finally possible. Facing a Press team, you can scheme around it. Facing a 2-3 zone, you can prep your shooters. Pull up an opponent before tipoff and actually know what you're up against. Recruiting Pipelines: Recruit generation now mirrors real basketball geography. Top talent clusters in real hotbeds. Class rank, position rank, and state rank show on every recruit. All-American badges flag elite prospects and State Player of the Year badges call out standouts in smaller states, but neither is an auto cheat code. An All-American is a strong prospect on paper, development still matters, and not every one pans out. State POY varies a lot by state. The real edge is taking a job in a strong pipeline state. Better states produce better players more often, and coaching in a hotbed gives you home state advantage on recruits everyone else is fighting over. Smarter Rankings + Bug Fixes: Rankings rebuilt to reflect who's actually playing the best. Quality wins matter, strength of schedule matters, bad losses hurt. Plus a long list of bug fixes from your Discord reports. If you posted a bug, it's been looked at even if I didn't reply directly. Android: Thank you for everyone who has been testing! We have finally got aversion that is ready for release and I am submitting it right now! I will keep you guys updated on when it drops❤️

Hardwood Empire

33,555 views • 2 months ago

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:
0:31

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

slash1s

70,687 views • 2 months ago

Claude Code can now make full videos from your terminal.. Not slideshows. Not text on screen.. Actual motion graphics with animations, transitions, custom photos, and background music. [ SHARED A TUTORIAL BELOW EDITED WITH THIS SETUP IN JUST 5mins ] ▫️Here's the setup: Claude Code + Remotion Remotion is a React based framework that renders video programmatically. You describe what you want in plain English, Claude writes the React components and Remotion renders it into a real MP4. What you can actually do with this: > Generate 9:16 vertical videos for TikTok / Reels / Shorts > Add animated text with viral hooks and safe zones > Pull live web screenshots directly into your scenes using Chrome MCP > Fact-check your content in real time with Perplexity MCP > Drop in your own photos and background music > Edit existing talking-head footage cut bloopers, add captions > Schedule posts to your socials straight from the terminal ▫️How to set it up (takes 5 minutes) : > Make sure you have Node.js installed ( node -v to check ) > Create a new Remotion project: npx create-video@latest Pick the Blank template, enable TailwindCSS, and install the Skills package when prompted. > Install dependencies: cd my-video npm install > Start the preview server: npm run dev > Open Claude Code in the same project folder: cd my-video claude That's it. You can now prompt videos in plain English. If you already have a Remotion project, just add the skill directly: npx skills add remotion-dev/skills This drops a SKILL.md into your project that gives Claude expert knowledge of Remotion.. animations, compositions, captions, assets, 3D content everything. Example prompt you can steal: "Create a 30-second 9:16 vertical video about the top 3 AI tools this week. Use animated text with a hook in the first 2 seconds. Add smooth transitions between scenes. Keep text in the safe zone for TikTok. Use a dark tech aesthetic with blue accent colors." Claude writes all the React code, renders a preview, you tweak with natural language, and export when ready. The crazy part is this whole pipeline is local, free (minus your Claude sub), and you never open a video editor. imo this kills CapCut for anyone making info-style content. You describe the video in English and get back a rendered MP4. try it now.
2:01

Claude Code can now make full videos from your terminal.. Not slideshows. Not text on screen.. Actual motion graphics with animations, transitions, custom photos, and background music. [ SHARED A TUTORIAL BELOW EDITED WITH THIS SETUP IN JUST 5mins ] ▫️Here's the setup: Claude Code + Remotion Remotion is a React based framework that renders video programmatically. You describe what you want in plain English, Claude writes the React components and Remotion renders it into a real MP4. What you can actually do with this: > Generate 9:16 vertical videos for TikTok / Reels / Shorts > Add animated text with viral hooks and safe zones > Pull live web screenshots directly into your scenes using Chrome MCP > Fact-check your content in real time with Perplexity MCP > Drop in your own photos and background music > Edit existing talking-head footage cut bloopers, add captions > Schedule posts to your socials straight from the terminal ▫️How to set it up (takes 5 minutes) : > Make sure you have Node.js installed ( node -v to check ) > Create a new Remotion project: npx create-video@latest Pick the Blank template, enable TailwindCSS, and install the Skills package when prompted. > Install dependencies: cd my-video npm install > Start the preview server: npm run dev > Open Claude Code in the same project folder: cd my-video claude That's it. You can now prompt videos in plain English. If you already have a Remotion project, just add the skill directly: npx skills add remotion-dev/skills This drops a SKILL.md into your project that gives Claude expert knowledge of Remotion.. animations, compositions, captions, assets, 3D content everything. Example prompt you can steal: "Create a 30-second 9:16 vertical video about the top 3 AI tools this week. Use animated text with a hook in the first 2 seconds. Add smooth transitions between scenes. Keep text in the safe zone for TikTok. Use a dark tech aesthetic with blue accent colors." Claude writes all the React code, renders a preview, you tweak with natural language, and export when ready. The crazy part is this whole pipeline is local, free (minus your Claude sub), and you never open a video editor. imo this kills CapCut for anyone making info-style content. You describe the video in English and get back a rendered MP4. try it now.

Axel Bitblaze 🪓

31,250 views • 3 months ago

how to turn iMessage into an AI executive assistant 1. give lindy your phone number and google account. two steps. that's the entire setup. 2. wake up to a daily brief. your meetings, the weather, 63 emails triaged overnight, replies already drafted. you barely open gmail anymore. 3. get meeting prep 15 minutes before every call. who you're meeting, what you talked about last time, what they need from you. 4. message teammates mid-meeting without leaving the call. you say it out loud. lindy sends the slack, creates the google doc, notifies the team. 5. send a screenshot of anything and it acts on it. party invite. invoice. voice note. one message and it handles it. 6. update your CRM after every call automatically. tell it once. done forever. 7. ask it anything about your past meetings and emails. "what did that company say they needed?" it knows. your inbox is its memory. 8. let it catch the stuff you'd miss. "your dinner reservation is at a restaurant closed on tuesdays. want me to move it?" the best executive assistants don't wait to be asked because they just handle it. that's what kinda Lindy feels like. not sure why more people aren't talking about products like these i liked it so much i invested in the biz. this is for people who find openclaw daunting and dont want to deal with the security issues episode is live on The Startup Ideas Podcast (SIP) 🧃 (full breakdown there) watch
31:06

how to turn iMessage into an AI executive assistant 1. give lindy your phone number and google account. two steps. that's the entire setup. 2. wake up to a daily brief. your meetings, the weather, 63 emails triaged overnight, replies already drafted. you barely open gmail anymore. 3. get meeting prep 15 minutes before every call. who you're meeting, what you talked about last time, what they need from you. 4. message teammates mid-meeting without leaving the call. you say it out loud. lindy sends the slack, creates the google doc, notifies the team. 5. send a screenshot of anything and it acts on it. party invite. invoice. voice note. one message and it handles it. 6. update your CRM after every call automatically. tell it once. done forever. 7. ask it anything about your past meetings and emails. "what did that company say they needed?" it knows. your inbox is its memory. 8. let it catch the stuff you'd miss. "your dinner reservation is at a restaurant closed on tuesdays. want me to move it?" the best executive assistants don't wait to be asked because they just handle it. that's what kinda Lindy feels like. not sure why more people aren't talking about products like these i liked it so much i invested in the biz. this is for people who find openclaw daunting and dont want to deal with the security issues episode is live on The Startup Ideas Podcast (SIP) 🧃 (full breakdown there) watch

GREG ISENBERG

248,580 views • 3 months ago

If someone posted a recipe in the open that is guaranteed to bring $100K a day, how many people would be able to cook it and why is the answer almost nobody? That is exactly what happened last week. A full instruction is sitting on a forum with code and links to papers, the result is already proven by one wallet at $1M, and so far nobody has been able to replicate it. Let me break it down. The wallet appeared in February 2026 and over 10 days made 63 trades on Polymarket sports markets. All on NBA. All 63 won, zero lost, total profit $1M+ His profile: The author was buying underdogs at 18-60 cents with large positions of $100K-$150K per entry. And here is what makes this case strange: the author posted the full strategy publicly on Moltbook before the first trade. The post by user u/ASVP_BRYANIII is called "Building Polymarket arb infra: marginal polytope -> Bregman projection -> Frank-Wolfe (need help)" and contains everything needed to reproduce: -> mathematical arbitrage model via integer linear programming -> links to two scientific papers from arXiv -> Python code in the src/polyarb/ repository with tests and documentation -> description of logical dependencies between markets -> specific questions about ILP solver selection and execution risk Literally take it, read it, run it. The mechanics in simplified form: on Polymarket prices are set by users themselves, and sometimes these prices contain errors. The sum of probabilities across related markets does not converge to one. The algorithm scans thousands of markets, finds discrepancies, and bets on combinations of outcomes where profit is mathematically guaranteed regardless of the match result. The author does not predict who wins. He finds pricing errors and takes the difference. Three trades for scale. -> Pacers vs Knicks: entry $149,818 at 18c, exit $831,818, profit $682K at 455% ROI. -> Bucks vs Magic: entry $124,999 at 20c, profit $499,999. -> Clippers vs Rockets: entry $123,431 at 26c, profit $354,678. All positions are underdogs, all at 18-60 cents, all closed in profit. This is not forecasting, this is arithmetic. Now to the main point: if the recipe is in the open, why has nobody replicated it? Because the ingredients of this recipe look like this: -> Bregman projection: a method of projection onto a convex set of admissible probabilities -> ILP oracle: an integer linear program solver for finding optimal bets -> Frank-Wolfe: an iterative optimization algorithm on a polytope -> Marginal polytope: the space of admissible marginal distributions Each term is a semester-long course in a master is program in computational mathematics. This is not "download and run", this is "get a degree, then download and run". A good analogy is a chef who posted a recipe on YouTube. All the steps are written out, proportions are listed, the camera films every move. But between the recipe and the dish are years of hands-on work. Only here instead of culinary experience it is 3-5 years of computational mathematics and experience working with order books. Even if the math is not the problem: bets of $100K-$150K per position, execution risk on CLOB, order book depth, slippage at those volumes. The recipe describes what to cook, but managing the kitchen at those temperatures is a separate skill. The author posted everything publicly and it looks like democratization of knowledge. In reality it is democratization for roughly 500 people in the world. Those who simultaneously have the required mathematical background, capital for execution, and experience working with onchain infrastructure. For everyone else it is a nice profit screenshot and a forum post where every other word is a hyperlink to a paper you will not read past the third page. The best protection for a strategy in 2026 is not secrecy, it is complexity.
0:25

If someone posted a recipe in the open that is guaranteed to bring $100K a day, how many people would be able to cook it and why is the answer almost nobody? That is exactly what happened last week. A full instruction is sitting on a forum with code and links to papers, the result is already proven by one wallet at $1M, and so far nobody has been able to replicate it. Let me break it down. The wallet appeared in February 2026 and over 10 days made 63 trades on Polymarket sports markets. All on NBA. All 63 won, zero lost, total profit $1M+ His profile: The author was buying underdogs at 18-60 cents with large positions of $100K-$150K per entry. And here is what makes this case strange: the author posted the full strategy publicly on Moltbook before the first trade. The post by user u/ASVP_BRYANIII is called "Building Polymarket arb infra: marginal polytope -> Bregman projection -> Frank-Wolfe (need help)" and contains everything needed to reproduce: -> mathematical arbitrage model via integer linear programming -> links to two scientific papers from arXiv -> Python code in the src/polyarb/ repository with tests and documentation -> description of logical dependencies between markets -> specific questions about ILP solver selection and execution risk Literally take it, read it, run it. The mechanics in simplified form: on Polymarket prices are set by users themselves, and sometimes these prices contain errors. The sum of probabilities across related markets does not converge to one. The algorithm scans thousands of markets, finds discrepancies, and bets on combinations of outcomes where profit is mathematically guaranteed regardless of the match result. The author does not predict who wins. He finds pricing errors and takes the difference. Three trades for scale. -> Pacers vs Knicks: entry $149,818 at 18c, exit $831,818, profit $682K at 455% ROI. -> Bucks vs Magic: entry $124,999 at 20c, profit $499,999. -> Clippers vs Rockets: entry $123,431 at 26c, profit $354,678. All positions are underdogs, all at 18-60 cents, all closed in profit. This is not forecasting, this is arithmetic. Now to the main point: if the recipe is in the open, why has nobody replicated it? Because the ingredients of this recipe look like this: -> Bregman projection: a method of projection onto a convex set of admissible probabilities -> ILP oracle: an integer linear program solver for finding optimal bets -> Frank-Wolfe: an iterative optimization algorithm on a polytope -> Marginal polytope: the space of admissible marginal distributions Each term is a semester-long course in a master is program in computational mathematics. This is not "download and run", this is "get a degree, then download and run". A good analogy is a chef who posted a recipe on YouTube. All the steps are written out, proportions are listed, the camera films every move. But between the recipe and the dish are years of hands-on work. Only here instead of culinary experience it is 3-5 years of computational mathematics and experience working with order books. Even if the math is not the problem: bets of $100K-$150K per position, execution risk on CLOB, order book depth, slippage at those volumes. The recipe describes what to cook, but managing the kitchen at those temperatures is a separate skill. The author posted everything publicly and it looks like democratization of knowledge. In reality it is democratization for roughly 500 people in the world. Those who simultaneously have the required mathematical background, capital for execution, and experience working with onchain infrastructure. For everyone else it is a nice profit screenshot and a forum post where every other word is a hyperlink to a paper you will not read past the third page. The best protection for a strategy in 2026 is not secrecy, it is complexity.

Blaze

13,868 views • 5 months ago

Padawans! We are excited to announce the return of Jediswap with concentrated liquidity, full audits, points, and incentives. Check it out at Since our last update two months ago, we have been working hard on a fresh new version of Jediswap, focused on bringing capital efficiency and the best price execution to our users. After two months of dedicated efforts, a full audit by Nethermind Starknet , and passing rigorous security tests, we are excited to announce the launch of Jediswap v2. Jediswap v2 significantly enhances user experience and performance while introducing new features and surprises. Our commitment to community and user growth remains strong, and we have exciting plans to expand the Jediswap ecosystem. Take a look at key updates coming with the launch. A points system that empowers genuine, loyal users: Jediswap's origins go back to early 2020 when we started our journey not as a product but as a community known as the Mesh community. Our mission was clear: bring Open Finance to billions of people. Recognising the strength of community-driven efforts, we understood that collective belief and collaboration, rather than individual or corporate endeavours, would be the most effective path forward. Early loyal users are the most crucial pillars of any community and product. This point system is Jediswap’s first step in recognising and rewarding the value each user has added to the protocol. We have prepared separate point systems for liquidity providers and traders. In short, as an LP, you can maximise your points by earning more fees on your LP positions and maintaining your liquidity in Jediswap over the long term. You can check out the complete math behind points here. For traders, use Jediswap when you genuinely need to swap tokens. There is no need to do any wash trading. We have published the points system for Jediswap v2 and will soon release points for all the activity that has occurred on Jediswap v1 to date with a boost. Check out the points logic on our docs: Improved performance and user experience: We have significantly enhanced Jediswap's performance, making it faster and more user-friendly. One notable improvement is the integration of pool analytics directly within the Pool page, eliminating the need for users to navigate to a separate analytics page. Additionally, balance fetching has been optimised for smoother operation. Any liquidity added to pools now updates the My Positions page in real-time. Battle-tested security For this launch, we implemented several security measures. We underwent a rigorous 7-week audit process with Nethermind. With the help of the Nethermind team, we also created a test framework for Jediswap to compare security against Uniswap v3, which has been operational for 3+ years and is one of the most battle-tested smart contracts available. We simulated real data from different Uniswap v3 pools on Jediswap. We achieved a 100% match in the contract state after each on-chain action, such as swaps and liquidity adjustments, bolstering our confidence in our code's security. We will announce many cool things over the next few weeks. Keep an out JediSwap ;) Mint a Galxe NFT: To commemorate this launch, we have published a new campaign on Galxe, which rewards users with an NFT for being an early user of Jediswap v2. To earn the Galxe NFT, add at least $25 worth of liquidity to one of the pools listed in the Galxe quest.
0:22

Padawans! We are excited to announce the return of Jediswap with concentrated liquidity, full audits, points, and incentives. Check it out at Since our last update two months ago, we have been working hard on a fresh new version of Jediswap, focused on bringing capital efficiency and the best price execution to our users. After two months of dedicated efforts, a full audit by Nethermind Starknet , and passing rigorous security tests, we are excited to announce the launch of Jediswap v2. Jediswap v2 significantly enhances user experience and performance while introducing new features and surprises. Our commitment to community and user growth remains strong, and we have exciting plans to expand the Jediswap ecosystem. Take a look at key updates coming with the launch. A points system that empowers genuine, loyal users: Jediswap's origins go back to early 2020 when we started our journey not as a product but as a community known as the Mesh community. Our mission was clear: bring Open Finance to billions of people. Recognising the strength of community-driven efforts, we understood that collective belief and collaboration, rather than individual or corporate endeavours, would be the most effective path forward. Early loyal users are the most crucial pillars of any community and product. This point system is Jediswap’s first step in recognising and rewarding the value each user has added to the protocol. We have prepared separate point systems for liquidity providers and traders. In short, as an LP, you can maximise your points by earning more fees on your LP positions and maintaining your liquidity in Jediswap over the long term. You can check out the complete math behind points here. For traders, use Jediswap when you genuinely need to swap tokens. There is no need to do any wash trading. We have published the points system for Jediswap v2 and will soon release points for all the activity that has occurred on Jediswap v1 to date with a boost. Check out the points logic on our docs: Improved performance and user experience: We have significantly enhanced Jediswap's performance, making it faster and more user-friendly. One notable improvement is the integration of pool analytics directly within the Pool page, eliminating the need for users to navigate to a separate analytics page. Additionally, balance fetching has been optimised for smoother operation. Any liquidity added to pools now updates the My Positions page in real-time. Battle-tested security For this launch, we implemented several security measures. We underwent a rigorous 7-week audit process with Nethermind. With the help of the Nethermind team, we also created a test framework for Jediswap to compare security against Uniswap v3, which has been operational for 3+ years and is one of the most battle-tested smart contracts available. We simulated real data from different Uniswap v3 pools on Jediswap. We achieved a 100% match in the contract state after each on-chain action, such as swaps and liquidity adjustments, bolstering our confidence in our code's security. We will announce many cool things over the next few weeks. Keep an out JediSwap ;) Mint a Galxe NFT: To commemorate this launch, we have published a new campaign on Galxe, which rewards users with an NFT for being an early user of Jediswap v2. To earn the Galxe NFT, add at least $25 worth of liquidity to one of the pools listed in the Galxe quest.

JediSwap

107,510 views • 2 years ago

JustHireMe V0.1.31 is out. 🔗 Github: 📥 Download: The first post hit 390K impressions, 3.2K likes, 6K+ bookmarks, 1.2k+ GitHub stars and 400+ downloads . Genuinely didn't expect that. I've been shipping updates since and this release is a big one. Full video walkthrough attached but here's what's new: Command Center — proper dashboard now — active leads, scores, agent status, top roles — all in one screen — no more clicking around to figure out where things stand Customize One Job — paste any job URL — agent captures the JD, scores your fit, shows keyword gaps — generates a tailored resume + cover letter as PDFs — one page, one flow Outreach Generator — every lead now comes with ready-to-copy messages — 3-line founder DM — LinkedIn connection note — cold email — all written from your real profile, not templates Knowledge Graph (rebuilt from scratch) — Relation Atlas - weighted ribbons showing how projects prove skills — Gravity Graph - force-directed career layout — 3D Orbit - rotate through your profile in 3D — Curated mode - strongest evidence paths only — this is what the matching engine actually uses to rank you Job Pipeline — stages: Hot → New → Rated → Ready → Applied → Discarded — Fit score + Quality score on every lead — search, filter, re-eval, bulk clean, export — feels like a real job search CRM now Live Activity Stream — "what is the agent thinking?" — real-time logs of every query, eval, and decision — full transparency, nothing hidden Built-in AI Assistant — ask the app how to configure sources, understand a lead, generate packages — right inside the dashboard Modular Agent Config — Scout, Evaluator, Generator, Ingestor — each one independently configurable — pick your own models and thresholds Still local-first. Still privacy-first. Still open source. Still free. Your data never leaves your machine. If you starred the repo last time — pull the new release. If you bookmarked and forgot — now's a good time. Feedback, issues, PRs, or just a ⭐— all welcome. ⭐ 📥 #OpenSource #AgenticAI #AIAgents #GraphRAG #Python #FastAPI #ReactJS #TypeScript #Tauri #JobSearch #CareerTech #PrivacyFirst
1:15

JustHireMe V0.1.31 is out. 🔗 Github: 📥 Download: The first post hit 390K impressions, 3.2K likes, 6K+ bookmarks, 1.2k+ GitHub stars and 400+ downloads . Genuinely didn't expect that. I've been shipping updates since and this release is a big one. Full video walkthrough attached but here's what's new: Command Center — proper dashboard now — active leads, scores, agent status, top roles — all in one screen — no more clicking around to figure out where things stand Customize One Job — paste any job URL — agent captures the JD, scores your fit, shows keyword gaps — generates a tailored resume + cover letter as PDFs — one page, one flow Outreach Generator — every lead now comes with ready-to-copy messages — 3-line founder DM — LinkedIn connection note — cold email — all written from your real profile, not templates Knowledge Graph (rebuilt from scratch) — Relation Atlas - weighted ribbons showing how projects prove skills — Gravity Graph - force-directed career layout — 3D Orbit - rotate through your profile in 3D — Curated mode - strongest evidence paths only — this is what the matching engine actually uses to rank you Job Pipeline — stages: Hot → New → Rated → Ready → Applied → Discarded — Fit score + Quality score on every lead — search, filter, re-eval, bulk clean, export — feels like a real job search CRM now Live Activity Stream — "what is the agent thinking?" — real-time logs of every query, eval, and decision — full transparency, nothing hidden Built-in AI Assistant — ask the app how to configure sources, understand a lead, generate packages — right inside the dashboard Modular Agent Config — Scout, Evaluator, Generator, Ingestor — each one independently configurable — pick your own models and thresholds Still local-first. Still privacy-first. Still open source. Still free. Your data never leaves your machine. If you starred the repo last time — pull the new release. If you bookmarked and forgot — now's a good time. Feedback, issues, PRs, or just a ⭐— all welcome. ⭐ 📥 #OpenSource #AgenticAI #AIAgents #GraphRAG #Python #FastAPI #ReactJS #TypeScript #Tauri #JobSearch #CareerTech #PrivacyFirst

Vasu-Devs

120,732 views • 2 months ago

😱MASSIVE BREAK: The Fatal Flaw in the Tyler Robinson Case—Gun Could NOT Have Been Fired! 👀 The mainstream media is aggressively pushing the narrative that Tyler Robinson used a WWII-era .30-06 Mauser to assassinate Charlie Kirk. But if you actually understand firearm mechanics, there is a glaring, undeniable hole in their story. Take a close look at photos of the rifle the Feds are trying to sell to the public as the "murder weapon." BTW The phot release is NOT the actual gun recovered but a generic Remington 700 or a Mauser 125th-anniversary model with the background edited out). Anyway, regardless of that; the Mauser 98 allegedly used by Tyler Robinson features a $2k low-mounted scope. Here is the mechanical reality the FBI hopes you don't notice: 🛑 The Mauser Wing Safety: The original Mauser 98 action uses a tall, 3-position "wing" or "flag" safety on the back of the bolt. To take the rifle off "SAFE" and put it on "FIRE", that metal flag has to flip in a 180-degree arc directly over the top of the bolt. 🛑 The Scope Collision: Look at how low that optic is mounted. If this rifle still has its original military-style safety, you cannot physically push the safety to the "FIRE" position. The metal flag will instantly smash directly into the bottom of the scope's ocular bell. Let's be completely clear about the facts: This rifle could NOT have been fired unless it was equipped with an aftermarket modified safety (like a low-profile or side-swing safety). If the rifle in FBI custody retains the original military safety, it is literally an inoperable prop. The safety flag is physically blocked by the optic scope, meaning you cannot switch the safety off, and YOU CANNOT PULL THE TRIGGER. Is this why the FBI has locked the physical gun away at Quantico? Is this why they are flat-out refusing to let Tyler Robinson’s defense attorneys physically examine the weapon? If a defense expert gets their hands on it and confirms an unmodified safety, they will prove in open court that the state's murder weapon couldn't have fired the fatal shot. The state's case isn't just full of holes—it defies the basic laws of physics. 👇 Look at the diagrams. Understand the mechanics. SHARE THIS EVERYWHERE. The official narrative is collapsing. CREDIT: Sara Kirk 🩷 FOLLOW Her!
0:41

😱MASSIVE BREAK: The Fatal Flaw in the Tyler Robinson Case—Gun Could NOT Have Been Fired! 👀 The mainstream media is aggressively pushing the narrative that Tyler Robinson used a WWII-era .30-06 Mauser to assassinate Charlie Kirk. But if you actually understand firearm mechanics, there is a glaring, undeniable hole in their story. Take a close look at photos of the rifle the Feds are trying to sell to the public as the "murder weapon." BTW The phot release is NOT the actual gun recovered but a generic Remington 700 or a Mauser 125th-anniversary model with the background edited out). Anyway, regardless of that; the Mauser 98 allegedly used by Tyler Robinson features a $2k low-mounted scope. Here is the mechanical reality the FBI hopes you don't notice: 🛑 The Mauser Wing Safety: The original Mauser 98 action uses a tall, 3-position "wing" or "flag" safety on the back of the bolt. To take the rifle off "SAFE" and put it on "FIRE", that metal flag has to flip in a 180-degree arc directly over the top of the bolt. 🛑 The Scope Collision: Look at how low that optic is mounted. If this rifle still has its original military-style safety, you cannot physically push the safety to the "FIRE" position. The metal flag will instantly smash directly into the bottom of the scope's ocular bell. Let's be completely clear about the facts: This rifle could NOT have been fired unless it was equipped with an aftermarket modified safety (like a low-profile or side-swing safety). If the rifle in FBI custody retains the original military safety, it is literally an inoperable prop. The safety flag is physically blocked by the optic scope, meaning you cannot switch the safety off, and YOU CANNOT PULL THE TRIGGER. Is this why the FBI has locked the physical gun away at Quantico? Is this why they are flat-out refusing to let Tyler Robinson’s defense attorneys physically examine the weapon? If a defense expert gets their hands on it and confirms an unmodified safety, they will prove in open court that the state's murder weapon couldn't have fired the fatal shot. The state's case isn't just full of holes—it defies the basic laws of physics. 👇 Look at the diagrams. Understand the mechanics. SHARE THIS EVERYWHERE. The official narrative is collapsing. CREDIT: Sara Kirk 🩷 FOLLOW Her!

Project Constitution

182,395 views • 2 months ago

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.
25:22

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.

Himanshu Kumar

13,363 views • 3 months ago

Since I’m a carnivore, many of you ask me where I buy my steaks and how much it costs me to live in Mexico. - I live in a 220 sqm hotel penthouse in Playa del Carmen and pay $1,500 USD, including utilities and cleaning. They also change my sheets and towels. In the same hotel, there are 1-bedroom units available for $500 per month, fully furnished, and all-inclusive. - I bought a brand-new scooter for $1,500, costing me $5 a week in gas⛽️ - I buy my meat from Carnes Finas de Monterrey. I pay $32 USD per 1 kg of grass-fed top sirloin, and I eat 1kg a day. Adding eggs, fruit, and other necessities, so $1,100 a month. You can find it elsewhere for half the price, but I care about meat quality, and theirs is top-tier. My expenses are $2,600 while living a high-end lifestyle that most people can only dream of. Only after leaving Canada did I realize how badly I was being fucked by the Canadian government, paying x3 times more for the cost of living just to fucking breathe💰 If you’re single, you can live comfortably on under $1,000/month. If you’ve got a family, you can enjoy a 3-bedroom apartment just 10 minutes walking from the beach for under $2,000/month for house, utilities, and groceries included❤️ Moving to Mexico takes courage, resilience, and determination. I did it alone. No safety nets. No handouts. No guarantees. I took full control of my destiny. I chose a place that aligns with my values and built my dream life from the ground up! The only difference between you and me is my trust in myself to figure shit out. No matter how tough life gets, no matter how chaotic things become, I know I’ll find a way. That unshakeable belief in my abilities is exactly why I became the man you see today Mexico is ranked as the world's top place to live as an expat, the second most visited, and the seventh most affordable country. We've affordable healthcare, free schools and universities. You can work, launch a business, open offshore bank accounts, and purchase real estate 🇲🇽 To learn more, click ‘Escape to Mexico” in my bio To secure your Mexican residency or passport in 10 days: Text me+1-844-699-1844
0:53

Since I’m a carnivore, many of you ask me where I buy my steaks and how much it costs me to live in Mexico. - I live in a 220 sqm hotel penthouse in Playa del Carmen and pay $1,500 USD, including utilities and cleaning. They also change my sheets and towels. In the same hotel, there are 1-bedroom units available for $500 per month, fully furnished, and all-inclusive. - I bought a brand-new scooter for $1,500, costing me $5 a week in gas⛽️ - I buy my meat from Carnes Finas de Monterrey. I pay $32 USD per 1 kg of grass-fed top sirloin, and I eat 1kg a day. Adding eggs, fruit, and other necessities, so $1,100 a month. You can find it elsewhere for half the price, but I care about meat quality, and theirs is top-tier. My expenses are $2,600 while living a high-end lifestyle that most people can only dream of. Only after leaving Canada did I realize how badly I was being fucked by the Canadian government, paying x3 times more for the cost of living just to fucking breathe💰 If you’re single, you can live comfortably on under $1,000/month. If you’ve got a family, you can enjoy a 3-bedroom apartment just 10 minutes walking from the beach for under $2,000/month for house, utilities, and groceries included❤️ Moving to Mexico takes courage, resilience, and determination. I did it alone. No safety nets. No handouts. No guarantees. I took full control of my destiny. I chose a place that aligns with my values and built my dream life from the ground up! The only difference between you and me is my trust in myself to figure shit out. No matter how tough life gets, no matter how chaotic things become, I know I’ll find a way. That unshakeable belief in my abilities is exactly why I became the man you see today Mexico is ranked as the world's top place to live as an expat, the second most visited, and the seventh most affordable country. We've affordable healthcare, free schools and universities. You can work, launch a business, open offshore bank accounts, and purchase real estate 🇲🇽 To learn more, click ‘Escape to Mexico” in my bio To secure your Mexican residency or passport in 10 days: Text me+1-844-699-1844

Jeckov Kanani

570,239 views • 6 months ago

Digital Foundry posts their Top 10 Best Graphics of the Year list, and it's the first time I've ever strongly disagreed with the top pick. Doom The Dark Ages for me has no business being #1 this year. It's polished, well optimised and solid looking, but seldom truly standout. I think we're getting to a point where well optimised on PC titles may be getting extra leeway, and technical "checklist" features like different types of Ray Tracing and Path Tracing, are taking precedence over overall graphics impact and other visual achievements. Many games that include RT features, can be less potent or dynamic in other areas, and Doom is no different. Death Stranding 2 may not have RT, but it has other state of the art aspects (some of which DF touched on), such as mind blowing environmental dynamism, including; +Mass engulfing forest fires. +City sized violent desert storms, masking all visibility and caking you and objects around you in thick sand. +Snow storms doing the same. +Extreme rain storms causing interactable physics based flash floods, rivers, rapids and lakes in areas completely dry and barren prior. +Avalanches. +Extreme weather impacted volumetric clouds and fog permeating everything around you. Including the ability to be atop them on mountains, and even traverse through them. +Black tar that will cover everything as far as the eye can see. +Segments where enrire areas are underwater with all the caustics, changes in physics etc. +Segments where hundreds of thousands of particles will bloom and bounce all around. +Etc. It also did this while having arguably more impactul overall assets, geometric complexity, shaders, materials, visual realism, scope, scale, atmospheric and other effects, attention to detail, far superior character models etc, while being FULLY open world. Hell, it even has giant Kaiju type battles where multiple foes the size of apartment blocks can battle it out (Doom has similar, but in closed off seperate segments, and sans the entire environment changing dynamically on the fly). In that regard, Death Stranding 2 for me graphically had infinitely more jaw on the floor and how is this even possible type moments, feeling like a true next-gen graphical showcase, pretty much from start to finish. I'd argue it's potentially the best looking current-gen game to date. To that end, you show a thousand gamers the best looking scenes from Death Stranding 2 and Doom The Dark Ages, I'm almost certain the overwhelming majority would say Death Stranding 2 is the far more graphically impressive game, and they'd be right to. Assassin's Creed Shadows was #2. It's graphically stellar and imo more deserving of #1 than Doom, though despite having excellent RT, physics, scale, draw distance etc, it has a few drawbacks that have a negative impact to its overall visual cohesion, especially in things like character models and some of their facial animations, which were important and emphasised parts of the game owing to how cinematic/story driven it is. Also a little surprised Kingdom Come Deliverance II and Battlefield 6 aren't there, especially in place of something like Metroid Prime 4 Beyond, inspite of Switch hardware limitations. Here's the full list. 1. Doom: The Dark Ages 2. AC Shadows 3. Death Stranding 2 • Dying Light: The Beast • Ghost of Yotei • Metroid Prime 4 Beyond • Mafia: The Old Country • Silent Hill F • Earthion • Routine Video montage of some of #DeathStranding2's environmental and weather effects included. #PS5 #PS5Pro Full Digital Foundry video .
4:11

Digital Foundry posts their Top 10 Best Graphics of the Year list, and it's the first time I've ever strongly disagreed with the top pick. Doom The Dark Ages for me has no business being #1 this year. It's polished, well optimised and solid looking, but seldom truly standout. I think we're getting to a point where well optimised on PC titles may be getting extra leeway, and technical "checklist" features like different types of Ray Tracing and Path Tracing, are taking precedence over overall graphics impact and other visual achievements. Many games that include RT features, can be less potent or dynamic in other areas, and Doom is no different. Death Stranding 2 may not have RT, but it has other state of the art aspects (some of which DF touched on), such as mind blowing environmental dynamism, including; +Mass engulfing forest fires. +City sized violent desert storms, masking all visibility and caking you and objects around you in thick sand. +Snow storms doing the same. +Extreme rain storms causing interactable physics based flash floods, rivers, rapids and lakes in areas completely dry and barren prior. +Avalanches. +Extreme weather impacted volumetric clouds and fog permeating everything around you. Including the ability to be atop them on mountains, and even traverse through them. +Black tar that will cover everything as far as the eye can see. +Segments where enrire areas are underwater with all the caustics, changes in physics etc. +Segments where hundreds of thousands of particles will bloom and bounce all around. +Etc. It also did this while having arguably more impactul overall assets, geometric complexity, shaders, materials, visual realism, scope, scale, atmospheric and other effects, attention to detail, far superior character models etc, while being FULLY open world. Hell, it even has giant Kaiju type battles where multiple foes the size of apartment blocks can battle it out (Doom has similar, but in closed off seperate segments, and sans the entire environment changing dynamically on the fly). In that regard, Death Stranding 2 for me graphically had infinitely more jaw on the floor and how is this even possible type moments, feeling like a true next-gen graphical showcase, pretty much from start to finish. I'd argue it's potentially the best looking current-gen game to date. To that end, you show a thousand gamers the best looking scenes from Death Stranding 2 and Doom The Dark Ages, I'm almost certain the overwhelming majority would say Death Stranding 2 is the far more graphically impressive game, and they'd be right to. Assassin's Creed Shadows was #2. It's graphically stellar and imo more deserving of #1 than Doom, though despite having excellent RT, physics, scale, draw distance etc, it has a few drawbacks that have a negative impact to its overall visual cohesion, especially in things like character models and some of their facial animations, which were important and emphasised parts of the game owing to how cinematic/story driven it is. Also a little surprised Kingdom Come Deliverance II and Battlefield 6 aren't there, especially in place of something like Metroid Prime 4 Beyond, inspite of Switch hardware limitations. Here's the full list. 1. Doom: The Dark Ages 2. AC Shadows 3. Death Stranding 2 • Dying Light: The Beast • Ghost of Yotei • Metroid Prime 4 Beyond • Mafia: The Old Country • Silent Hill F • Earthion • Routine Video montage of some of #DeathStranding2's environmental and weather effects included. #PS5 #PS5Pro Full Digital Foundry video .

NIB

46,463 views • 7 months ago

WHY YOU WAKE UP IN THE MIDDLE OF THE NIGHT Your brain has 20,000 neurons clustered in the hypothalamus. They form the suprachiasmatic nucleus. This is your master clock. It's been running since before birth. At 25, this clock kept you unconscious until morning. At 65, the same clock runs on less melatonin, weaker signals, and a rhythm that physically shifted 2-3 hours earlier. It fires a wake signal between 2-4 a.m. Four systems inside your body shifted with age. They converge at the same hour every night. The thoughts that arrive at 3 a.m. feel different from the same thoughts at 3 p.m. because your brain runs a different program in the dark. The part that would normally tell you those thoughts aren't emergencies is still asleep. THE CLOCK MOVED FORWARD The suprachiasmatic nucleus generates a near 24-hour rhythm controlling when you feel alert and when you feel sleepy. In young adults, peak sleepiness arrives around 11 p.m. Peak alertness arrives around 9-10 a.m. Blue light at 480 nanometers activates melanopsin cells in the retina. These cells send signals directly to the suprachiasmatic nucleus, synchronizing your clock to the day-night cycle. With age, the clock shifts earlier. This is circadian phase advance. The sleepiness signal arrives at 7-8 p.m. instead of 11 p.m. The wake signal arrives at 3-4 a.m. instead of 6-7 a.m. The entire sleep-wake window moves forward 2-3 hours. The suprachiasmatic nucleus itself degrades. Neurons deteriorate. The amplitude of the circadian signal weakens. Peaks become shallower. Troughs become less deep. The radio station loses transmitter power until the signal becomes fuzzy and inconsistent. The clock's sensitivity to light cues diminishes through two mechanisms. The aging lens yellows and thickens, filtering more blue light before it reaches the melanopsin cells. The suprachiasmatic neurons themselves respond less robustly to whatever signal does arrive. Weaker input through a cloudier window. Less responsive neurons processing that input. The clock drifts. When the circadian clock drifts without strong light cues, it drifts earlier. Phase advance is the default direction of an unanchored aging clock. MELATONIN COLLAPSED The pineal gland releases melatonin at night to initiate and maintain sleep. This hormone declines with age. The pineal gland calcifies gradually over decades, reducing functional tissue and capacity to produce melatonin. By 65, nighttime melatonin levels can be one-third to one-quarter of what they were at 30. Sometimes less. Melatonin doesn't just initiate sleep. It maintains depth and continuity across the full night. When melatonin is low, sleep is shallower, more fragmented, more vulnerable to interruption. Even if you fall asleep at a reasonable hour, low melatonin cannot hold you through to morning. Your body tries to put you to sleep at 8 p.m. and wake you at 3 a.m. That's a 7-hour sleep window. It might be enough sleep for your shifted clock. But you fight the 8 o'clock drowsiness. Social life, television, family, habit. You stay up until 10 or 11. The clock doesn't adjust to your social schedule. It fires the wake signal at 3 regardless. The clock runs on light and biology, not preferences. You lost 2-3 hours from the front of your sleep window by staying up late. The alarm still goes off on the original schedule. The 3 a.m. waking isn't a malfunction. It's your shifted clock doing exactly what it was programmed to do. This is social jet lag. The gap between your biological clock time and your social clock time creates the same physiological mismatch as flying across two or three time zones. Your body is in one time zone. Your social life is in another. The drowsiness you fight at 8 p.m. is your body's genuine sleep onset signal. The waking at 3 a.m. is your body's genuine wake signal. The problem isn't the signals. The problem is overriding one without being able to override the other. There's a compounding factor. The shifted clock means your body wants to sleep earlier. The reduced melatonin means it cannot hold sleep as deeply or as long. You're caught between two problems: a clock that fires the wake signal too early and a chemical supply that cannot maintain the sleep signal through the full night. Even if you went to bed at 8, the reduced melatonin might still fail to hold you past 3 or 4. The clock shifted the window. The melatonin shrank it. DEEP SLEEP DISAPPEARED Sleep cycles through stages roughly every 90 minutes. Light sleep, deeper sleep, deeper sleep, then REM. The stage that matters most for feeling rested is slow-wave sleep, stage N3, the deepest phase. Brainwaves drop to large, slow delta oscillations at 0.5-4 hertz. During slow-wave sleep, the glymphatic system activates. Cerebrospinal fluid flushes through brain tissue along channels that open when neurons shrink slightly during deep sleep. This clears metabolic waste: adenosine, the molecule that builds sleep pressure during the day, and amyloid beta proteins, the plaques associated with Alzheimer's disease. Growth hormone pulses during N3. Tissue repair peaks. Memory consolidation occurs. The hippocampus replays the day's experiences and transfers them to long-term cortical storage. This is the sleep that makes you feel like you actually slept. At 25, roughly 20% of the night is spent in slow-wave sleep. By 65, that drops to 10-15%. By 75, some people get almost none. My sleep tracker tells me that I almost never get less than 30%... and I'm 60. It is possible to have restorative deep sleep no matter what your age is. In my case even at lower sleep duration. High energy availability alsp plays a big role. The slow wave generating circuits in the medial prefrontal cortex usually deteriorate with age, producing weaker and less frequent delta oscillations. The deep sleep itself becomes shallower. The waves are smaller. The duration shorter. The restorative process is less complete. If deep sleep is the period when the brain clears amyloid beta, then reduced deep sleep means reduced clearance. Less deep sleep leads to more amyloid, which leads to less deep sleep, which leads to more amyloid. The relationship is bidirectional and self-reinforcing. If you never feel fully rested no matter how many hours you spend in bed, if 8 hours produces the recovery that 6 hours used to produce, if you wake in the morning with the sense that something was missing from the night, the missing component may be slow wave sleep. The hours were there. The depth was not. Slow-wave sleep that remains concentrates in the first half of the night, the first two to three sleep cycles. By 2-3 a.m., most of the deep sleep budget has been spent. What remains for the second half of the night is lighter stage one and stage two sleep, interspersed with REM. Light sleep has a dramatically lower arousal threshold. Stimuli that would not have registered during slow-wave sleep can push you above the waking threshold in light sleep. A slight temperature change in the room. A bathroom urge from a bladder that fills faster with age. A noise from outside. Even the natural shift in body position. You wake at 3 a.m. partly because the sleep you're in at 3 a.m. is physiologically different from the sleep you're in at midnight. The fortress walls got thinner as the night progressed. By 3 o'clock, you're sleeping behind a screen door instead of a vault. You could sleep through thunderstorms at 30. Now you wake at the sound of a refrigerator cycling on. The physics isn't about the noise. It's about the stage of sleep you're in when the noise arrives. At midnight, during slow-wave sleep, your arousal threshold is high. The brain runs delta waves that suppress responsiveness to external stimuli. At 3 a.m. in stage 1 or stage 2, the threshold has dropped to a fraction of its midnight level. The same sound that the sleeping brain would have filtered at midnight wakes you at 3 because the brain is no longer running the program that filters it. CORTISOL ARRIVED EARLY Your body runs a cortisol rhythm called the cortisol awakening response. In the final hours of sleep, the adrenal glands begin increasing cortisol output, preparing the body for waking. Mobilizing glucose into the bloodstream. Priming the immune system for the day's pathogens. Raising blood pressure and heart rate toward daytime operating levels. In a young adult, this cortisol rise begins around 4-5 a.m. and peaks roughly 30-45 minutes after waking. With age, the rise begins earlier. 2-3 a.m. in many older adults. Low-carb diets can also trigger a relatively strong cortisol release, waking you up early.. The same circadian phase advance that shifted the sleep-wake window also shifted the cortisol curve. Every rhythm the suprachiasmatic nucleus controls moves in the same direction. Cortisol alone doesn't wake you. But combined with already light sleep and a shifted circadian clock, the cortisol rise adds a third signal, pushing you toward wakefulness at precisely the hour when the other two systems have already weakened your defenses. Three systems converging on the same window. The clock says wake up. The sleep stage says the walls are thin. The cortisol says the body is preparing for morning. All three signals arrive at 3 a.m. Not by coincidence. All three are governed by the same shifted circadian master clock. If the waking comes at almost exactly the same time every night, not randomly scattered across the early morning hours but clustered within the same 30-minute window, that precision is the signature of a circadian event. Cortisol is antagonistic to melatonin. The two hormones suppress each other. Cortisol inhibits melatonin production. Melatonin suppresses cortisol. In a young person with high melatonin and correctly timed cortisol, the two hormones hand off smoothly. Melatonin dominates the night. Cortisol rises toward morning. The transition is seamless. In an aging body with depleted melatonin and early-arriving cortisol, the handoff happens too soon. When cortisol starts rising at 2-3 a.m. and melatonin is already low, the biochemical conditions for staying asleep collapse. The melatonin that should be holding you under is insufficient. The cortisol that should not be arriving for another two hours is already here. Two hormones that are supposed to hand off like relay runners, one finishing as the other begins, instead collide in the same hour because both shifted on the same aging clock. The balance tips toward waking. THE WORST THOUGHTS ARRIVE When you wake at 6-7 a.m., cortisol is high, light enters your eyes, and your prefrontal cortex comes online in its task-oriented mode. You think about what to do, what to eat, where to go. Executive function engages. The thinking is directed, practical, forward-looking. Problems that exist at 7 a.m. feel like problems to be solved. Manageable, bounded, addressable. When you wake at 3 a.m. in the dark with no tasks to perform and no light to signal daytime, a different network activates. The default mode network. The brain's self-referential processing system fires in the absence of external input and directed task. This is the rumination network. It runs replays of conversations you had years ago. It generates worry scenarios about events that may never happen. It revisits regrets from decades past with a vividness that feels more real than memory should. It rehearses confrontations that will never take place. It asks questions that have no answers at any hour, let alone at 3 a.m. At 3 a.m., the default mode network has nothing competing with it. No light. No task. No external stimulation. No social interaction. And the executive prefrontal cortex that would normally evaluate, contextualize, and override the rumination is still partially offline. The prefrontal cortex is the last brain region to fully activate upon waking. It requires light exposure and time to reach full operating capacity. This is the region that says this thought is not an emergency. This worry is not proportionate to reality. This problem can wait until morning and will look different then. At 3 a.m., that region is sleeping while the default mode network runs at full power. You're awake enough to think. But the thinking is the uncontrolled, self-referential, catastrophizing kind. The system that controls and contextualizes thought has not caught up with the system that generates it. The worry loop feels more intense at 3 a.m. than the same thoughts would feel at 3 p.m. because the brain regions that regulate emotional response and assign proportionality are not yet operational. You're running the worry software without the control software. The thoughts feel urgent and catastrophic because the part of your brain that would tell you they are neither is still asleep. The thoughts are not true in the way they feel true. They're running on hardware that cannot evaluate them yet. The 3 a.m. thoughts have a specific quality that daytime worry doesn't. A sense of certainty. Of inevitability. Of problems being larger and solutions being fewer than they actually are. The distortion isn't emotional. It's architectural. The brain regions that generate worry are online. The brain regions that evaluate worry are not. By 7 a.m., when the prefrontal cortex has fully activated and light has entered the eyes and cortisol has reached its appropriate peak, the same problems that felt catastrophic at 3 a.m. feel manageable. Nothing changed about the problems. Everything changed about which brain regions are processing them. If you've lain in the dark at 3 a.m. and felt that your problems were larger, your regrets sharper, your fears more certain than they would be by breakfast, that wasn't weakness. It wasn't anxiety disorder. It was the default mode network running without prefrontal supervision, amplified by cortisol that arrived early, in a brain that had already run through its deep sleep budget and could not pull you back under. Four systems, all doing what the physics of aging programmed them to do, all converging on the same hour. Subscribers have access to detailed practical applications of remedies in a second attached post.
5:35

WHY YOU WAKE UP IN THE MIDDLE OF THE NIGHT Your brain has 20,000 neurons clustered in the hypothalamus. They form the suprachiasmatic nucleus. This is your master clock. It's been running since before birth. At 25, this clock kept you unconscious until morning. At 65, the same clock runs on less melatonin, weaker signals, and a rhythm that physically shifted 2-3 hours earlier. It fires a wake signal between 2-4 a.m. Four systems inside your body shifted with age. They converge at the same hour every night. The thoughts that arrive at 3 a.m. feel different from the same thoughts at 3 p.m. because your brain runs a different program in the dark. The part that would normally tell you those thoughts aren't emergencies is still asleep. THE CLOCK MOVED FORWARD The suprachiasmatic nucleus generates a near 24-hour rhythm controlling when you feel alert and when you feel sleepy. In young adults, peak sleepiness arrives around 11 p.m. Peak alertness arrives around 9-10 a.m. Blue light at 480 nanometers activates melanopsin cells in the retina. These cells send signals directly to the suprachiasmatic nucleus, synchronizing your clock to the day-night cycle. With age, the clock shifts earlier. This is circadian phase advance. The sleepiness signal arrives at 7-8 p.m. instead of 11 p.m. The wake signal arrives at 3-4 a.m. instead of 6-7 a.m. The entire sleep-wake window moves forward 2-3 hours. The suprachiasmatic nucleus itself degrades. Neurons deteriorate. The amplitude of the circadian signal weakens. Peaks become shallower. Troughs become less deep. The radio station loses transmitter power until the signal becomes fuzzy and inconsistent. The clock's sensitivity to light cues diminishes through two mechanisms. The aging lens yellows and thickens, filtering more blue light before it reaches the melanopsin cells. The suprachiasmatic neurons themselves respond less robustly to whatever signal does arrive. Weaker input through a cloudier window. Less responsive neurons processing that input. The clock drifts. When the circadian clock drifts without strong light cues, it drifts earlier. Phase advance is the default direction of an unanchored aging clock. MELATONIN COLLAPSED The pineal gland releases melatonin at night to initiate and maintain sleep. This hormone declines with age. The pineal gland calcifies gradually over decades, reducing functional tissue and capacity to produce melatonin. By 65, nighttime melatonin levels can be one-third to one-quarter of what they were at 30. Sometimes less. Melatonin doesn't just initiate sleep. It maintains depth and continuity across the full night. When melatonin is low, sleep is shallower, more fragmented, more vulnerable to interruption. Even if you fall asleep at a reasonable hour, low melatonin cannot hold you through to morning. Your body tries to put you to sleep at 8 p.m. and wake you at 3 a.m. That's a 7-hour sleep window. It might be enough sleep for your shifted clock. But you fight the 8 o'clock drowsiness. Social life, television, family, habit. You stay up until 10 or 11. The clock doesn't adjust to your social schedule. It fires the wake signal at 3 regardless. The clock runs on light and biology, not preferences. You lost 2-3 hours from the front of your sleep window by staying up late. The alarm still goes off on the original schedule. The 3 a.m. waking isn't a malfunction. It's your shifted clock doing exactly what it was programmed to do. This is social jet lag. The gap between your biological clock time and your social clock time creates the same physiological mismatch as flying across two or three time zones. Your body is in one time zone. Your social life is in another. The drowsiness you fight at 8 p.m. is your body's genuine sleep onset signal. The waking at 3 a.m. is your body's genuine wake signal. The problem isn't the signals. The problem is overriding one without being able to override the other. There's a compounding factor. The shifted clock means your body wants to sleep earlier. The reduced melatonin means it cannot hold sleep as deeply or as long. You're caught between two problems: a clock that fires the wake signal too early and a chemical supply that cannot maintain the sleep signal through the full night. Even if you went to bed at 8, the reduced melatonin might still fail to hold you past 3 or 4. The clock shifted the window. The melatonin shrank it. DEEP SLEEP DISAPPEARED Sleep cycles through stages roughly every 90 minutes. Light sleep, deeper sleep, deeper sleep, then REM. The stage that matters most for feeling rested is slow-wave sleep, stage N3, the deepest phase. Brainwaves drop to large, slow delta oscillations at 0.5-4 hertz. During slow-wave sleep, the glymphatic system activates. Cerebrospinal fluid flushes through brain tissue along channels that open when neurons shrink slightly during deep sleep. This clears metabolic waste: adenosine, the molecule that builds sleep pressure during the day, and amyloid beta proteins, the plaques associated with Alzheimer's disease. Growth hormone pulses during N3. Tissue repair peaks. Memory consolidation occurs. The hippocampus replays the day's experiences and transfers them to long-term cortical storage. This is the sleep that makes you feel like you actually slept. At 25, roughly 20% of the night is spent in slow-wave sleep. By 65, that drops to 10-15%. By 75, some people get almost none. My sleep tracker tells me that I almost never get less than 30%... and I'm 60. It is possible to have restorative deep sleep no matter what your age is. In my case even at lower sleep duration. High energy availability alsp plays a big role. The slow wave generating circuits in the medial prefrontal cortex usually deteriorate with age, producing weaker and less frequent delta oscillations. The deep sleep itself becomes shallower. The waves are smaller. The duration shorter. The restorative process is less complete. If deep sleep is the period when the brain clears amyloid beta, then reduced deep sleep means reduced clearance. Less deep sleep leads to more amyloid, which leads to less deep sleep, which leads to more amyloid. The relationship is bidirectional and self-reinforcing. If you never feel fully rested no matter how many hours you spend in bed, if 8 hours produces the recovery that 6 hours used to produce, if you wake in the morning with the sense that something was missing from the night, the missing component may be slow wave sleep. The hours were there. The depth was not. Slow-wave sleep that remains concentrates in the first half of the night, the first two to three sleep cycles. By 2-3 a.m., most of the deep sleep budget has been spent. What remains for the second half of the night is lighter stage one and stage two sleep, interspersed with REM. Light sleep has a dramatically lower arousal threshold. Stimuli that would not have registered during slow-wave sleep can push you above the waking threshold in light sleep. A slight temperature change in the room. A bathroom urge from a bladder that fills faster with age. A noise from outside. Even the natural shift in body position. You wake at 3 a.m. partly because the sleep you're in at 3 a.m. is physiologically different from the sleep you're in at midnight. The fortress walls got thinner as the night progressed. By 3 o'clock, you're sleeping behind a screen door instead of a vault. You could sleep through thunderstorms at 30. Now you wake at the sound of a refrigerator cycling on. The physics isn't about the noise. It's about the stage of sleep you're in when the noise arrives. At midnight, during slow-wave sleep, your arousal threshold is high. The brain runs delta waves that suppress responsiveness to external stimuli. At 3 a.m. in stage 1 or stage 2, the threshold has dropped to a fraction of its midnight level. The same sound that the sleeping brain would have filtered at midnight wakes you at 3 because the brain is no longer running the program that filters it. CORTISOL ARRIVED EARLY Your body runs a cortisol rhythm called the cortisol awakening response. In the final hours of sleep, the adrenal glands begin increasing cortisol output, preparing the body for waking. Mobilizing glucose into the bloodstream. Priming the immune system for the day's pathogens. Raising blood pressure and heart rate toward daytime operating levels. In a young adult, this cortisol rise begins around 4-5 a.m. and peaks roughly 30-45 minutes after waking. With age, the rise begins earlier. 2-3 a.m. in many older adults. Low-carb diets can also trigger a relatively strong cortisol release, waking you up early.. The same circadian phase advance that shifted the sleep-wake window also shifted the cortisol curve. Every rhythm the suprachiasmatic nucleus controls moves in the same direction. Cortisol alone doesn't wake you. But combined with already light sleep and a shifted circadian clock, the cortisol rise adds a third signal, pushing you toward wakefulness at precisely the hour when the other two systems have already weakened your defenses. Three systems converging on the same window. The clock says wake up. The sleep stage says the walls are thin. The cortisol says the body is preparing for morning. All three signals arrive at 3 a.m. Not by coincidence. All three are governed by the same shifted circadian master clock. If the waking comes at almost exactly the same time every night, not randomly scattered across the early morning hours but clustered within the same 30-minute window, that precision is the signature of a circadian event. Cortisol is antagonistic to melatonin. The two hormones suppress each other. Cortisol inhibits melatonin production. Melatonin suppresses cortisol. In a young person with high melatonin and correctly timed cortisol, the two hormones hand off smoothly. Melatonin dominates the night. Cortisol rises toward morning. The transition is seamless. In an aging body with depleted melatonin and early-arriving cortisol, the handoff happens too soon. When cortisol starts rising at 2-3 a.m. and melatonin is already low, the biochemical conditions for staying asleep collapse. The melatonin that should be holding you under is insufficient. The cortisol that should not be arriving for another two hours is already here. Two hormones that are supposed to hand off like relay runners, one finishing as the other begins, instead collide in the same hour because both shifted on the same aging clock. The balance tips toward waking. THE WORST THOUGHTS ARRIVE When you wake at 6-7 a.m., cortisol is high, light enters your eyes, and your prefrontal cortex comes online in its task-oriented mode. You think about what to do, what to eat, where to go. Executive function engages. The thinking is directed, practical, forward-looking. Problems that exist at 7 a.m. feel like problems to be solved. Manageable, bounded, addressable. When you wake at 3 a.m. in the dark with no tasks to perform and no light to signal daytime, a different network activates. The default mode network. The brain's self-referential processing system fires in the absence of external input and directed task. This is the rumination network. It runs replays of conversations you had years ago. It generates worry scenarios about events that may never happen. It revisits regrets from decades past with a vividness that feels more real than memory should. It rehearses confrontations that will never take place. It asks questions that have no answers at any hour, let alone at 3 a.m. At 3 a.m., the default mode network has nothing competing with it. No light. No task. No external stimulation. No social interaction. And the executive prefrontal cortex that would normally evaluate, contextualize, and override the rumination is still partially offline. The prefrontal cortex is the last brain region to fully activate upon waking. It requires light exposure and time to reach full operating capacity. This is the region that says this thought is not an emergency. This worry is not proportionate to reality. This problem can wait until morning and will look different then. At 3 a.m., that region is sleeping while the default mode network runs at full power. You're awake enough to think. But the thinking is the uncontrolled, self-referential, catastrophizing kind. The system that controls and contextualizes thought has not caught up with the system that generates it. The worry loop feels more intense at 3 a.m. than the same thoughts would feel at 3 p.m. because the brain regions that regulate emotional response and assign proportionality are not yet operational. You're running the worry software without the control software. The thoughts feel urgent and catastrophic because the part of your brain that would tell you they are neither is still asleep. The thoughts are not true in the way they feel true. They're running on hardware that cannot evaluate them yet. The 3 a.m. thoughts have a specific quality that daytime worry doesn't. A sense of certainty. Of inevitability. Of problems being larger and solutions being fewer than they actually are. The distortion isn't emotional. It's architectural. The brain regions that generate worry are online. The brain regions that evaluate worry are not. By 7 a.m., when the prefrontal cortex has fully activated and light has entered the eyes and cortisol has reached its appropriate peak, the same problems that felt catastrophic at 3 a.m. feel manageable. Nothing changed about the problems. Everything changed about which brain regions are processing them. If you've lain in the dark at 3 a.m. and felt that your problems were larger, your regrets sharper, your fears more certain than they would be by breakfast, that wasn't weakness. It wasn't anxiety disorder. It was the default mode network running without prefrontal supervision, amplified by cortisol that arrived early, in a brain that had already run through its deep sleep budget and could not pull you back under. Four systems, all doing what the physics of aging programmed them to do, all converging on the same hour. Subscribers have access to detailed practical applications of remedies in a second attached post.

Metabolic Uncle

12,138 views • 3 months ago

Everyone is talking about Vibe Coding (Using AI to Create Apps Only using AI) This is the most Comprehensive Guide for Vibe Coding with Cursor (By Far) 250 Minutes, All the vibe code basics of cursor, plus 4 Projects in one video! This is how I, as someone who has never written a line of code, approach building apps (every day). Part 1A Intro to Cursor, Composer, and some basics --------------------- 00:00 Intro 03:41 Downloading Cursor 06:09 What the hell is Composer? 10:47 A Note on Context and Keeping Composer Threads Small 11:38 Simple Desings with Cursor Composer From Blank Project 14:04 Editing a Simple Animation With Cursor Composer 16:35 Setting Up The Voice to Talk to Cursor Composer Whispr Flow 17:54 Lets an Early 2000's Landing Page Part 1B AI Image Generator --------------------- 23:59 Using the GitHub Template to Create a NextJS App 26:43 Template is Open, Let's Edit it 28:55 Drawing Out My Idea With Whimsical 30:11 First Prompt Using Place Holders For Image Generation 32:10 Accept All Vs Save All and Restoring in Composer (Saving your work) 33:54 Adding AI Feature (Brief Teaser, Deep Dive Later) 35:15 What is an API 37:22 Perplexity the best place to learn about API's 40:21 Api keys and running prompt for first AI Feature 42:48 Debugging, Woohoo! Learn to love this :) 43:20 Inspect - Console, In Browser Debugging Hack 48:02 AI Image Generation Works! Lets add more Part 2: Landing Page ---------------------- 51:03 Pause and Reflect, What have we done so far? 53:41 Plan for rest of video 54:34 Ok Let's Talk about (1) Designs 56:19 GitHub is like --sref for those who do image gen 58:20 Starting Cursor project from a GitHub Repo we found on Perplexity 01:00:48 Yolo Mode... Wtf is that? 01:02:38 Inspecting GitHub Repo's Examples, to use in our landing page 01:02:58 The Project We're making - A landing page 01:03:56 Landing Page from Screenshot 01:06:17 Making Changes to Landing Page 01:11:42 Making a more epic section 01:13:42 The Essence of Vibe Coding 01:15:17 Creating Cool Testimonials Section From Screenshot 01:18:18 Deploy to Vercel! But First New Repo on GitHub 01:20:45 Ok it's on GitHub... Now lets do vercel 01:21:17 Untechnical Explanation of what Vercel is Lol 01:24:18 Connecting Custom Domain (Bought on Name Cheap) To Vercel Deployment Part 3: App With Database and Authentication ---------------------- 01:27:59 Recap and Prep For The Bigger Project! 01:35:13 Getting Started from Template (Again) 01:38:52 Setting Up Database and Authentication (Firebase) 01:44:01 Back To Cursor, Let's Set up The Auth in the app 01:48:35 Switching to mermaid because compatibility issues 01:51:13 Using AI (Claude) to Generate Mermaid Diagrams 01:52:19 Adding Docs to Cursor to use AI Features over and over again 01:54:38 Let's Troubleshoot 01:56:10 Adding View Button and EDIT WITH AI 02:01:45 AI Diagram Edit Feature is DOPE 02:03:17 Using Search Feature on Cursor to find text in Codebase 02:05:55 Lets add ability to save these to Database 02:09:33 What does saved to Google Firebase even mean? 02:13:00 We can Export as PDF! 02:15:48 GitHub and Vercel Again! 02:17:27 Vercel with CLI From Cursor 02:20:52 Setting Vercel Domain as an Authorized Domain 02:27:34 How To Learn More
2:28:16

Everyone is talking about Vibe Coding (Using AI to Create Apps Only using AI) This is the most Comprehensive Guide for Vibe Coding with Cursor (By Far) 250 Minutes, All the vibe code basics of cursor, plus 4 Projects in one video! This is how I, as someone who has never written a line of code, approach building apps (every day). Part 1A Intro to Cursor, Composer, and some basics --------------------- 00:00 Intro 03:41 Downloading Cursor 06:09 What the hell is Composer? 10:47 A Note on Context and Keeping Composer Threads Small 11:38 Simple Desings with Cursor Composer From Blank Project 14:04 Editing a Simple Animation With Cursor Composer 16:35 Setting Up The Voice to Talk to Cursor Composer Whispr Flow 17:54 Lets an Early 2000's Landing Page Part 1B AI Image Generator --------------------- 23:59 Using the GitHub Template to Create a NextJS App 26:43 Template is Open, Let's Edit it 28:55 Drawing Out My Idea With Whimsical 30:11 First Prompt Using Place Holders For Image Generation 32:10 Accept All Vs Save All and Restoring in Composer (Saving your work) 33:54 Adding AI Feature (Brief Teaser, Deep Dive Later) 35:15 What is an API 37:22 Perplexity the best place to learn about API's 40:21 Api keys and running prompt for first AI Feature 42:48 Debugging, Woohoo! Learn to love this :) 43:20 Inspect - Console, In Browser Debugging Hack 48:02 AI Image Generation Works! Lets add more Part 2: Landing Page ---------------------- 51:03 Pause and Reflect, What have we done so far? 53:41 Plan for rest of video 54:34 Ok Let's Talk about (1) Designs 56:19 GitHub is like --sref for those who do image gen 58:20 Starting Cursor project from a GitHub Repo we found on Perplexity 01:00:48 Yolo Mode... Wtf is that? 01:02:38 Inspecting GitHub Repo's Examples, to use in our landing page 01:02:58 The Project We're making - A landing page 01:03:56 Landing Page from Screenshot 01:06:17 Making Changes to Landing Page 01:11:42 Making a more epic section 01:13:42 The Essence of Vibe Coding 01:15:17 Creating Cool Testimonials Section From Screenshot 01:18:18 Deploy to Vercel! But First New Repo on GitHub 01:20:45 Ok it's on GitHub... Now lets do vercel 01:21:17 Untechnical Explanation of what Vercel is Lol 01:24:18 Connecting Custom Domain (Bought on Name Cheap) To Vercel Deployment Part 3: App With Database and Authentication ---------------------- 01:27:59 Recap and Prep For The Bigger Project! 01:35:13 Getting Started from Template (Again) 01:38:52 Setting Up Database and Authentication (Firebase) 01:44:01 Back To Cursor, Let's Set up The Auth in the app 01:48:35 Switching to mermaid because compatibility issues 01:51:13 Using AI (Claude) to Generate Mermaid Diagrams 01:52:19 Adding Docs to Cursor to use AI Features over and over again 01:54:38 Let's Troubleshoot 01:56:10 Adding View Button and EDIT WITH AI 02:01:45 AI Diagram Edit Feature is DOPE 02:03:17 Using Search Feature on Cursor to find text in Codebase 02:05:55 Lets add ability to save these to Database 02:09:33 What does saved to Google Firebase even mean? 02:13:00 We can Export as PDF! 02:15:48 GitHub and Vercel Again! 02:17:27 Vercel with CLI From Cursor 02:20:52 Setting Vercel Domain as an Authorized Domain 02:27:34 How To Learn More

Riley Brown

367,311 views • 1 year ago

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif A.I Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜
4:01

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif A.I Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜

JoJo-π

19,013 views • 1 year ago