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You open Figma. Then VS Code. Then a 3D tool. Then an image generator. Then you're gluing it all together at midnight wondering why this takes so long. That was the old way. Omma AI launched on March 24, 2026 built by the team behind Spline, who already have...

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Julian Goldie SEO

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10,693 görüntüleme • 6 ay önce •via X (Twitter)

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THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering
0:56

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

Om Patel

159,860 görüntüleme • 6 ay önce

THIS GUY VIBE CODED A TRUE 3D PROPERTY TOUR TOOL WITH CLAUDE CODE not the fake 360 photo stitching that matterport does, actual 3D right now if you're a real estate agent and want a property tour you need: > a matterport camera ($3000+) > a photographer who knows how to use it > matterport's monthly subscription > and you still get a glorified panorama, not real 3D this guy built a tool that takes your existing captures (camera files, drone shots, 360 photos, EVEN phone captures) and turns them into a real interactive 3D tour in one workflow no specialized hardware, no photographer, no switching between 5 different tools real estate agents, property managers, airbnb hosts, architects, interior designers all of them are paying hundreds per property for something this tool does from captures they already have the painful part was never understanding the end result. everyone knows what a 3D tour looks like. the pain is going from a pile of messy capture files to something usable without it turning into a technical project this solves that with one workflow you dump your files in and get a 3D tour out insane what you can do with vibe coding
1:01

THIS GUY VIBE CODED A TRUE 3D PROPERTY TOUR TOOL WITH CLAUDE CODE not the fake 360 photo stitching that matterport does, actual 3D right now if you're a real estate agent and want a property tour you need: > a matterport camera ($3000+) > a photographer who knows how to use it > matterport's monthly subscription > and you still get a glorified panorama, not real 3D this guy built a tool that takes your existing captures (camera files, drone shots, 360 photos, EVEN phone captures) and turns them into a real interactive 3D tour in one workflow no specialized hardware, no photographer, no switching between 5 different tools real estate agents, property managers, airbnb hosts, architects, interior designers all of them are paying hundreds per property for something this tool does from captures they already have the painful part was never understanding the end result. everyone knows what a 3D tour looks like. the pain is going from a pile of messy capture files to something usable without it turning into a technical project this solves that with one workflow you dump your files in and get a 3D tour out insane what you can do with vibe coding

Om Patel

158,397 görüntüleme • 5 ay önce

Design AI noise. Today you can quickly generate almost anything: an image, a 3D object, a video, a texture, an animation. For example, you generate a 3D model. And what’s next? You don’t have a scene, lighting, post effects, or all the things that actually make the result look good. You still have to take these fragmented assets somewhere else and continue building from there. That’s why the next layer of design AI tools is not another generator, but a production ready system where AI is not the final “make it a masterpiece” button, but part of a controlled workflow. This is what we’re building with Endless Tools. AI generates assets Endless Tools turns them into brand-ready visual systems. Let’s go. Try it.
0:42

Design AI noise. Today you can quickly generate almost anything: an image, a 3D object, a video, a texture, an animation. For example, you generate a 3D model. And what’s next? You don’t have a scene, lighting, post effects, or all the things that actually make the result look good. You still have to take these fragmented assets somewhere else and continue building from there. That’s why the next layer of design AI tools is not another generator, but a production ready system where AI is not the final “make it a masterpiece” button, but part of a controlled workflow. This is what we’re building with Endless Tools. AI generates assets Endless Tools turns them into brand-ready visual systems. Let’s go. Try it.

Endless Tools

14,702 görüntüleme • 3 ay önce

Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.
5:13

Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.

Santiago

12,095 görüntüleme • 4 ay önce

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.
2:00

After testing every AI toolchain for a year, this is the only workflow I'm endorsing: Figma → Claude Code (Sonnet 4.5) Here's how I'm building Lorelight: 1. Design the happy path in Figma 2. Feed it to Claude Code via Figma MCP 3. Get a strong foundation in 15 minutes 4. Spend the next 50+ hours iterating (still design work) The design/dev loop that used to be isolated is finally closing. I even built a complete design system in within minutes. Custom components, living documentation, accessibility rules all from the Figma designs. If you're measuring the effectiveness of these tools by whether they can "one-shot" a design, you're consuming too many AI hype commercials. Log off. Then go actually build something with your hands. With AI. With your taste. Stop trying to "one-shot" good shit. And go make stuff with the new tools. For designers who want to ship real products, this is the stack that's getting it done.

Tommy Geoco

22,905 görüntüleme • 1 yıl önce

Google just had its DeepSeek moment — and almost nobody's talking about it. Here's the story you need to know. 🧵 When DeepSeek dropped in early 2025, it didn't just impress people. It scared them. A model competing with the biggest AI players — at a fraction of the cost — through math, not hardware. Chip stocks tanked. The industry panicked. Then on March 24th, 2026, Google published a research paper called TurboQuant. Cloudflare's CEO immediately called it Google's DeepSeek moment. Memory chip stocks for Micron and Western Digital fell on the news. Why? Because TurboQuant compresses AI memory by 6x — through software alone. → No new chips needed → No retraining required → One server can now host more models than before The era of throwing hardware at AI problems is ending. The era of mathematical efficiency is here. ✅Save this post, you'll thank yourself when this reshapes every AI tool you use. 📌 Want the SOP? DM me.
8:21

Google just had its DeepSeek moment — and almost nobody's talking about it. Here's the story you need to know. 🧵 When DeepSeek dropped in early 2025, it didn't just impress people. It scared them. A model competing with the biggest AI players — at a fraction of the cost — through math, not hardware. Chip stocks tanked. The industry panicked. Then on March 24th, 2026, Google published a research paper called TurboQuant. Cloudflare's CEO immediately called it Google's DeepSeek moment. Memory chip stocks for Micron and Western Digital fell on the news. Why? Because TurboQuant compresses AI memory by 6x — through software alone. → No new chips needed → No retraining required → One server can now host more models than before The era of throwing hardware at AI problems is ending. The era of mathematical efficiency is here. ✅Save this post, you'll thank yourself when this reshapes every AI tool you use. 📌 Want the SOP? DM me.

Julian Goldie SEO

12,731 görüntüleme • 6 ay önce

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one
1:43

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

kai

177,245 görüntüleme • 2 ay önce

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago Save this before everyone copies the playbook this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part that won't leave my head: > the AI you're using today is the dumbest it will ever be > one person with AI agents will replace teams of 10, then 50, then 200 > the winners won't be the smartest. they'll be the ones who built their AI team first > you don't need to hire people anymore. you need to build agents that work together > hiring is about to become optional for most startups right now most people open Claude, ask a question, read the answer, close the tab they think they're using AI, but they're using maybe 5% of it I turned his lecture into a step-by-step guide to build your first app using Claude. Completely FREE full guide in the post below.
1:01:06

Demis Hassabis: "In the near future, one person who knows AI will outperform an entire startup team" I've watched hundreds of AI talks, this 60-minute Cambridge lecture is the one I wish I had seen a year ago Save this before everyone copies the playbook this is the Nobel Prize winner in Chemistry, CEO of Google DeepMind and the guy who made AI solve biology here's the part that won't leave my head: > the AI you're using today is the dumbest it will ever be > one person with AI agents will replace teams of 10, then 50, then 200 > the winners won't be the smartest. they'll be the ones who built their AI team first > you don't need to hire people anymore. you need to build agents that work together > hiring is about to become optional for most startups right now most people open Claude, ask a question, read the answer, close the tab they think they're using AI, but they're using maybe 5% of it I turned his lecture into a step-by-step guide to build your first app using Claude. Completely FREE full guide in the post below.

Khairallah AL-Awady

42,882 görüntüleme • 4 ay önce

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.
3:25

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,438 görüntüleme • 10 ay önce

Figma CEO Dylan Field predicts "design is the new code" within a year as AI turns coding into raw material and pushes value into taste, product, and judgment: "A year from now, the same thing I think is very obvious now, which is that design is the new code." "If you believe that coding models will continue to get better, then it's the decisions you make about how to build a system that matter, not the code itself. The code is material." "The value rises to the top and that becomes brand, product design, your marketing, your point of view in the world, your judgment calls and strategy. Product design is really at the center of a lot of that." "Designers will have a bigger role to play if they step up. Not everyone will step up. Some people will be like, 'But I like what I was doing.'" Figma
1:09

Figma CEO Dylan Field predicts "design is the new code" within a year as AI turns coding into raw material and pushes value into taste, product, and judgment: "A year from now, the same thing I think is very obvious now, which is that design is the new code." "If you believe that coding models will continue to get better, then it's the decisions you make about how to build a system that matter, not the code itself. The code is material." "The value rises to the top and that becomes brand, product design, your marketing, your point of view in the world, your judgment calls and strategy. Product design is really at the center of a lot of that." "Designers will have a bigger role to play if they step up. Not everyone will step up. Some people will be like, 'But I like what I was doing.'" Figma

MTS

18,501 görüntüleme • 6 gün önce

i used to think an AI team meant me + a few agents. then i tried Teamily AI, a Humans + Agents platform where other people sit in the same group as the agents, on the same context. different thing entirely. so: what if an AI team could find the best new generation of AI careers for you? i put 3 agents and a partner i'm working with in one group and gave them the same question: 1. AI Engineer - researched 10 genuinely new AI-native careers 2. Principal Architect - ranked the 7 most interesting ones into a page with Website Builder 3. QA Tester - opened that page, challenged the list, rejected 3 and suggested better replacements then I jumped in again with "prioritize roles with real demand and low competition", and the Architect rebuilt the page with the QA swaps and that ask. one agent researched, one ranked, one challenged the work, and a human pushed it further. one question to a finished page, all in one chat. this is what an AI team actually feels like. final page: Teamily AI try it:
0:38

i used to think an AI team meant me + a few agents. then i tried Teamily AI, a Humans + Agents platform where other people sit in the same group as the agents, on the same context. different thing entirely. so: what if an AI team could find the best new generation of AI careers for you? i put 3 agents and a partner i'm working with in one group and gave them the same question: 1. AI Engineer - researched 10 genuinely new AI-native careers 2. Principal Architect - ranked the 7 most interesting ones into a page with Website Builder 3. QA Tester - opened that page, challenged the list, rejected 3 and suggested better replacements then I jumped in again with "prioritize roles with real demand and low competition", and the Architect rebuilt the page with the QA swaps and that ask. one agent researched, one ranked, one challenged the work, and a human pushed it further. one question to a finished page, all in one chat. this is what an AI team actually feels like. final page: Teamily AI try it:

aditya

13,488 görüntüleme • 4 gün önce

This is incredibly useful for those using Claude Code! I have two computers, and sharing your Claude Code sessions is almost impossible without this. I often start working on something on my desktop, and then want to continue working on the same session (same context, conversation, etc.) on my laptop. The folks at Depot built an integration that solves this problem: You can now start a session on one computer and resume it anywhere else in the world! You can even share it with other team members so they can also contribute to it. Here is an article showing you how the Depot team uses this feature with Claude Code to automate their GitHub Actions Runner updates: Thanks to the team for the effort in building this integration and collaborating with me on this post.
4:29

This is incredibly useful for those using Claude Code! I have two computers, and sharing your Claude Code sessions is almost impossible without this. I often start working on something on my desktop, and then want to continue working on the same session (same context, conversation, etc.) on my laptop. The folks at Depot built an integration that solves this problem: You can now start a session on one computer and resume it anywhere else in the world! You can even share it with other team members so they can also contribute to it. Here is an article showing you how the Depot team uses this feature with Claude Code to automate their GitHub Actions Runner updates: Thanks to the team for the effort in building this integration and collaborating with me on this post.

Santiago

43,943 görüntüleme • 11 ay önce

$65B fund CEO: "AI is now doing in hours what finance PhDs used to do in months" He spent 26 minutes at Stanford explaining why even the biggest skeptics are running out of time to ignore this Ken Griffin built Citadel into one of the most successful hedge funds ever couple of months ago he called AI "just a productivity tool", but since then something has changed: > we're already at the stage where AI is replacing not mid-tier jobs but extraordinarily high-skilled ones > in the last few months AI integration at Citadel grew faster than anyone expected > his exact words: the issue with AI is that humans are now the horses any company refusing to adopt AI right now will fall behind competitors who do, that gap is only going to grow the same is true for people, an employee who knows how to use AI will outperform one who doesn't the same way AI-first companies are outperforming everyone else that's exactly why I put together a step-by-step guide on how to set up and use Claude the right way useful whether you've never touched it or you've been using it for a while full guide in the article below
26:09

$65B fund CEO: "AI is now doing in hours what finance PhDs used to do in months" He spent 26 minutes at Stanford explaining why even the biggest skeptics are running out of time to ignore this Ken Griffin built Citadel into one of the most successful hedge funds ever couple of months ago he called AI "just a productivity tool", but since then something has changed: > we're already at the stage where AI is replacing not mid-tier jobs but extraordinarily high-skilled ones > in the last few months AI integration at Citadel grew faster than anyone expected > his exact words: the issue with AI is that humans are now the horses any company refusing to adopt AI right now will fall behind competitors who do, that gap is only going to grow the same is true for people, an employee who knows how to use AI will outperform one who doesn't the same way AI-first companies are outperforming everyone else that's exactly why I put together a step-by-step guide on how to set up and use Claude the right way useful whether you've never touched it or you've been using it for a while full guide in the article below

Anatoli Kopadze

36,172 görüntüleme • 4 ay önce

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!
7:27

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!

Santiago

84,565 görüntüleme • 1 yıl önce

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.
0:33

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.

Paul Sims

13,738 görüntüleme • 2 ay önce

Are you ready to be drained today? se, Co-Founder of fomo, stated that all of Fomo's code was built by AI. Even the non-tech team writes code using AI. For security purposes, all of this code is audited by humans, but don't you think that after a $94M fundraise, the platform should be completely safe for users? Because of vibecode, many people are raising questions. Se Young also stated that the team still hasn't used the money from the latest $75M raise and is growing on revenue. For me, it is completely unclear why a small team that has stable revenue and runs everything on vibecode needs that much money. You don't want to scale the team, and you've had affiliates for a long time. Where do you plan to spend this $75M, and is the platform safe right now? Sw, in the podcast you said you answer all questions on CT and this question is currently the most important one. Funds are safu?
1:06

Are you ready to be drained today? se, Co-Founder of fomo, stated that all of Fomo's code was built by AI. Even the non-tech team writes code using AI. For security purposes, all of this code is audited by humans, but don't you think that after a $94M fundraise, the platform should be completely safe for users? Because of vibecode, many people are raising questions. Se Young also stated that the team still hasn't used the money from the latest $75M raise and is growing on revenue. For me, it is completely unclear why a small team that has stable revenue and runs everything on vibecode needs that much money. You don't want to scale the team, and you've had affiliates for a long time. Where do you plan to spend this $75M, and is the platform safe right now? Sw, in the podcast you said you answer all questions on CT and this question is currently the most important one. Funds are safu?

ProMint

99,654 görüntüleme • 2 ay önce

Claude Code is the OpenClaw alternative you already had. I've been telling people this in person for three months. Now it's a piece on Every 📧. When OpenClaw was at peak hype a few months ago, everyone was going crazy over it — for good reasons. But almost nobody made the obvious comparison: Claude Code already does the thing you love about OpenClaw. In a lot of cases, better. Here's why people missed it. You have to understand the difference between a model and a harness. OpenClaw, at the end of the day, is just a harness on top of AI models. And Claude Code is too — it just got marketed as a coding tool, an alternative to Cursor. Until Cowork launched, almost nobody looked at it as a tool for non-programmers. Dan Shipper 📧 was one of the earliest to make that claim, and he was damn right. Let Claude Code run from the home folder of your computer with free access, and you get exactly what made OpenClaw exciting. Instead of just arguing it, here's a video walkthrough of a couple of my AI employees i built on the Claude Code harness. And here's the full article:
8:31

Claude Code is the OpenClaw alternative you already had. I've been telling people this in person for three months. Now it's a piece on Every 📧. When OpenClaw was at peak hype a few months ago, everyone was going crazy over it — for good reasons. But almost nobody made the obvious comparison: Claude Code already does the thing you love about OpenClaw. In a lot of cases, better. Here's why people missed it. You have to understand the difference between a model and a harness. OpenClaw, at the end of the day, is just a harness on top of AI models. And Claude Code is too — it just got marketed as a coding tool, an alternative to Cursor. Until Cowork launched, almost nobody looked at it as a tool for non-programmers. Dan Shipper 📧 was one of the earliest to make that claim, and he was damn right. Let Claude Code run from the home folder of your computer with free access, and you get exactly what made OpenClaw exciting. Instead of just arguing it, here's a video walkthrough of a couple of my AI employees i built on the Claude Code harness. And here's the full article:

Nityesh

22,895 görüntüleme • 3 ay önce

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?
1:33

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

Ricardo

2,978,776 görüntüleme • 4 ay önce

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying
0:58

Claude Code is terrible at UI design and everyone knows it so this guy fixed it by building an MCP that gives Claude its own AI design tool instead of going back and forth between a design platform and your code editor, Claude now creates the designs itself and drops them straight into your codebase the MCP has full context of your existing design system and project so everything it generates actually matches what you already have. one command to set up and it installs the MCP and skill files so Claude instantly knows how to use it if you're tired of the same Inter font, purple gradient, card grid layout on every project, this is definitely worth trying

Om Patel

402,762 görüntüleme • 6 ay önce