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Dexter hit 10,000 stars on GitHub. It’s OpenClaw and Claude Code, for finance. What Dexter can do: • find undervalued stocks • break down financials • turn research into a thesis All our code is open source.

Virat Singh

50,546 subscribers

1,004,819 次观看 • 6 个月前 •via X (Twitter)

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Dexter just hit 25,000 stars on GitHub. It's like Claude Code, but for finance. How I use it: • Screen stocks • Track earnings • Monitor my portfolio Bring your own data, search, LLM providers. It’s 100% open source.

Dexter just hit 25,000 stars on GitHub. It's like Claude Code, but for finance. How I use it: • Screen stocks • Track earnings • Monitor my portfolio Bring your own data, search, LLM providers. It’s 100% open source.

Virat Singh

42,310 次观看 • 2 个月前

I cleaned up a lot of Dexter’s code today. Our core agent loop is now ~300 lines. What Dexter does: • finds undervalued stocks • analyzes them deeply • builds valuation models All of it is open source.

I cleaned up a lot of Dexter’s code today. Our core agent loop is now ~300 lines. What Dexter does: • finds undervalued stocks • analyzes them deeply • builds valuation models All of it is open source.

Virat Singh

188,756 次观看 • 7 个月前

The future of finance isn’t closed. It’s open source. Meet Dexter, a deep research agent built in public. It’s crushing evals, improving fast, and every line of code is yours. Finance belongs to everyone.

The future of finance isn’t closed. It’s open source. Meet Dexter, a deep research agent built in public. It’s crushing evals, improving fast, and every line of code is yours. Finance belongs to everyone.

virat

53,272 次观看 • 8 个月前

Introducing Dexter. An open source financial agent in ~200 lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting with

Introducing Dexter. An open source financial agent in ~200 lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting with

Virat Singh

317,057 次观看 • 9 个月前

Introducing Dexter 2.0 Open source. Built for financial research. Like Claude Code, but for stocks. What Dexter does: • plans tasks • runs on its own • validates its work • researches stocks It uses OSS tools like , with a fresh stack of typescript, react, ink, and bun. Fast to build. Easy to use. No coding required. My favorite project of the year.

Introducing Dexter 2.0 Open source. Built for financial research. Like Claude Code, but for stocks. What Dexter does: • plans tasks • runs on its own • validates its work • researches stocks It uses OSS tools like , with a fresh stack of typescript, react, ink, and bun. Fast to build. Easy to use. No coding required. My favorite project of the year.

Virat Singh

210,062 次观看 • 8 个月前

Dexter vs. Claude Code I ran tests overnight and Dexter came out ahead on complex financial tasks that required deep research. Dexter won on: • speed (by 92%) • cost (by 26%) • correctness (by 31%) I use Claude Code often, so this was fun to see. A key challenge for CC is that it relies on web search for financial data. Most of what it finds comes from news sites, blogs, and other secondary sources. Dexter uses primary source data from Financial Datasets, so the performance gap makes sense. Plenty of room to improve on Dexter. The gap will only grow from here. Evals from vals. Report coming next.

Dexter vs. Claude Code I ran tests overnight and Dexter came out ahead on complex financial tasks that required deep research. Dexter won on: • speed (by 92%) • cost (by 26%) • correctness (by 31%) I use Claude Code often, so this was fun to see. A key challenge for CC is that it relies on web search for financial data. Most of what it finds comes from news sites, blogs, and other secondary sources. Dexter uses primary source data from Financial Datasets, so the performance gap makes sense. Plenty of room to improve on Dexter. The gap will only grow from here. Evals from vals. Report coming next.

virat

26,638 次观看 • 8 个月前

Dexter can now read SEC filings. It pulls filings, finds the important parts, and answers with citations. Supported filings: • 10-K • 10-Q • 8-K Coverage: 20,000 stocks over 30 years. All of the code is open source.

Dexter can now read SEC filings. It pulls filings, finds the important parts, and answers with citations. Supported filings: • 10-K • 10-Q • 8-K Coverage: 20,000 stocks over 30 years. All of the code is open source.

Virat Singh

58,148 次观看 • 6 个月前

We built the best codebase search to give any agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.

We built the best codebase search to give any agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.

Arlan

12,412 次观看 • 4 个月前

🚨Anthropic just gave Claude Code eyes and hands. read that again. it can now open apps on mac, click around macOS, find bugs visually, screenshot them, fix the code, rebuild, and verify the fix. one prompt. absolute zero human input. full autonomy. seems like Claude Code is becoming a super app. i’m so here for it.

🚨Anthropic just gave Claude Code eyes and hands. read that again. it can now open apps on mac, click around macOS, find bugs visually, screenshot them, fix the code, rebuild, and verify the fix. one prompt. absolute zero human input. full autonomy. seems like Claude Code is becoming a super app. i’m so here for it.

sui ☄️

27,357 次观看 • 4 个月前

Started working on "Claude HUD" A Claude Code plugin that visualizes: · context remaining in the session · what tools are executing · which subagents are running · claude's to-do list progress If there's enough interest, I'll polish it up and open-source it!

Started working on "Claude HUD" A Claude Code plugin that visualizes: · context remaining in the session · what tools are executing · which subagents are running · claude's to-do list progress If there's enough interest, I'll polish it up and open-source it!

Jarrod Watts

161,599 次观看 • 7 个月前

MOONSHOT JUST MADE A FREE REPLICA OF CLAUDE CODE. It’s called Kimi Code CLI. It’s open source, free to use, and built by the team behind Kimi K3. It comes with features you won’t find in Claude Code: → upload a screen recording as input → built-in coding, planning, and research agents that work in separate contexts → plan your changes before editing any files → set up MCP servers directly from the CLI with /mcp-config → works with VS Code, JetBrains, and Zed → lightweight - no Node.js setup, starts in seconds The CLI is completely free. The Kimi K3 model behind it starts at $3 per million input tokens. Grab it below 👇

MOONSHOT JUST MADE A FREE REPLICA OF CLAUDE CODE. It’s called Kimi Code CLI. It’s open source, free to use, and built by the team behind Kimi K3. It comes with features you won’t find in Claude Code: → upload a screen recording as input → built-in coding, planning, and research agents that work in separate contexts → plan your changes before editing any files → set up MCP servers directly from the CLI with /mcp-config → works with VS Code, JetBrains, and Zed → lightweight - no Node.js setup, starts in seconds The CLI is completely free. The Kimi K3 model behind it starts at $3 per million input tokens. Grab it below 👇

MIKE

45,132 次观看 • 19 天前

A SINGLE CLAUDE.md FILE JUST HIT #1 ON GITHUB TRENDING. 82,100 stars. 7.8k forks. zero dependencies. Bookmark this before you forget. And your Claude will start working differently. 4 principles. one file. Karpathy's LLM coding habits. distilled. > think before coding. > simplicity first. > surgical edits only. > goal-driven targets before starting. swap it into your CLAUDE.md today. your Claude Code becomes a different tool. Read it today. Link below. Claude → Skills → CLAUDE.md → Better Code → Better Systems → Money

A SINGLE CLAUDE.md FILE JUST HIT #1 ON GITHUB TRENDING. 82,100 stars. 7.8k forks. zero dependencies. Bookmark this before you forget. And your Claude will start working differently. 4 principles. one file. Karpathy's LLM coding habits. distilled. > think before coding. > simplicity first. > surgical edits only. > goal-driven targets before starting. swap it into your CLAUDE.md today. your Claude Code becomes a different tool. Read it today. Link below. Claude → Skills → CLAUDE.md → Better Code → Better Systems → Money

Kirill

4,640,050 次观看 • 3 个月前

Anthropic just wiped BILLIONS off cybersecurity stocks in one afternoon. No breach. No scandal. Just a product update. They released Claude Security inside Claude Code… and the market reacted instantly. When AI can find vulnerabilities before your security stack does, what exactly are you paying for? The shift just started.

Anthropic just wiped BILLIONS off cybersecurity stocks in one afternoon. No breach. No scandal. Just a product update. They released Claude Security inside Claude Code… and the market reacted instantly. When AI can find vulnerabilities before your security stack does, what exactly are you paying for? The shift just started.

Julian Goldie SEO

11,123 次观看 • 5 个月前

🚨 do you understand what just happened someone posted the code of a Chinese Trader bot on GitHub and it was immediately deleted I managed to save it His profile : Project Structure: gabagool/ ├── config/ # Configuration files ├── src/ # Core source code ├── strategies/ # Trading strategies ├── tests/ # Unit and live tests ├── backtest/ # Paper trading and simulation ├── research/ # Analysis notebooks ├── docs/ # Documentation ├── scripts/ # Utility scripts ├── logs/ # Runtime logs ├── samples/ # Reference repositories └── requirements.txt GitHub: You can also copy it via : Save this before it gets deleted again

AdiiX

161,513 次观看 • 3 个月前

Drag-and-drop UI to build AI agents! Langflow is a powerful visual tool for building and deploying AI-powered agents and workflows—without writing any code. Supports all major LLMs, vector DBs, etc. 100% open-source, 62k+ stars 🌟

Drag-and-drop UI to build AI agents! Langflow is a powerful visual tool for building and deploying AI-powered agents and workflows—without writing any code. Supports all major LLMs, vector DBs, etc. 100% open-source, 62k+ stars 🌟

Akshay 🚀

208,002 次观看 • 1 年前

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Daniel San

38,726 次观看 • 2 个月前

GITHUB JUST KILLED THE WORST PART OF VIBE CODING they shipped a free tool called Spec Kit and it already crossed 120,000 stars the fix is stupidly simple instead of tossing vague prompts at an agent and praying it doesn't wreck your project Spec Kit makes the AI write a full structured spec before it touches a single line of code it works through the problem first figures out what you want to build asks about the gaps lays out the project then it starts coding you get fewer insane bugs, cleaner output and results you can predict the flow looks like this: /constitution for your rules and standards /specify for what you want to build /clarify for the open questions before you start /plan for architecture and stack /tasks for the ordered work /implement to run it it plugs into Claude Code, Cursor, Copilot, Codex, Gemini CLI and 25+ other agents 120,000 stars, 10,000 forks, open source, shipped by GitHub itself learning to drive agents like this is most of what separates people getting hired as AI engineers from everyone still fighting their prompts

GITHUB JUST KILLED THE WORST PART OF VIBE CODING they shipped a free tool called Spec Kit and it already crossed 120,000 stars the fix is stupidly simple instead of tossing vague prompts at an agent and praying it doesn't wreck your project Spec Kit makes the AI write a full structured spec before it touches a single line of code it works through the problem first figures out what you want to build asks about the gaps lays out the project then it starts coding you get fewer insane bugs, cleaner output and results you can predict the flow looks like this: /constitution for your rules and standards /specify for what you want to build /clarify for the open questions before you start /plan for architecture and stack /tasks for the ordered work /implement to run it it plugs into Claude Code, Cursor, Copilot, Codex, Gemini CLI and 25+ other agents 120,000 stars, 10,000 forks, open source, shipped by GitHub itself learning to drive agents like this is most of what separates people getting hired as AI engineers from everyone still fighting their prompts

Atlas

499,830 次观看 • 24 天前

$My trainer at the gym asked what I do for work. "Trading systems. Open-source." He laughed. "Like day trading?" "No. Anyone can see how it works. All the code is public." He put down his weights. "So you just look at code all day?" I didn't argue. I opened my laptop. One wallet I was tracking returned 71% in a single month. Another processed $4.1M in volume. One more turned $500 into $8,200. His face changed. "That's... from some code?" Exactly. Then I showed him the repos. All public. All free. First one: Every trade ever made. 86M+ trades. Free to download. Snapshot saves 2+ days of research. Second one: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution layer. Third one: ML + heuristics. Flagged that \$500 → \$8,200 wallet before anyone noticed. LLM auto market making. Open source from Polymarket team. My trainer went quiet. Then he asked: "Can my son run this? He's into computers." Profile: I said yes. Then I showed him how to start. Most people think you need a finance degree or a fund. You don't. You just need to read the code and start.$

My trainer at the gym asked what I do for work. "Trading systems. Open-source." He laughed. "Like day trading?" "No. Anyone can see how it works. All the code is public." He put down his weights. "So you just look at code all day?" I didn't argue. I opened my laptop. One wallet I was tracking returned 71% in a single month. Another processed $4.1M in volume. One more turned $500 into $8,200. His face changed. "That's... from some code?" Exactly. Then I showed him the repos. All public. All free. First one: Every trade ever made. 86M+ trades. Free to download. Snapshot saves 2+ days of research. Second one: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution layer. Third one: ML + heuristics. Flagged that \$500 → \$8,200 wallet before anyone noticed. LLM auto market making. Open source from Polymarket team. My trainer went quiet. Then he asked: "Can my son run this? He's into computers." Profile: I said yes. Then I showed him how to start. Most people think you need a finance degree or a fund. You don't. You just need to read the code and start.

Lunar

35,831 次观看 • 2 个月前

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

125,890 次观看 • 4 个月前

> use Claude Code for months > Claude makes wrong assumptions every session > overwrites code I didn't ask to touch > adds 500 lines when 50 would do > find the CLAUDE.md file on GitHub trending > 82,000 stars. one file. > paste it into my project > first task > wait. it asked before assuming? > only touched what I asked? > 50 lines instead of 500? > pause. read the 4 principles. > think about every broken diff I reviewed > every rewrite I didn't ask for > every session that ran with wrong assumptions > it didn't have to be like this > one file. everything changes. > skill issue discovered

> use Claude Code for months > Claude makes wrong assumptions every session > overwrites code I didn't ask to touch > adds 500 lines when 50 would do > find the CLAUDE.md file on GitHub trending > 82,000 stars. one file. > paste it into my project > first task > wait. it asked before assuming? > only touched what I asked? > 50 lines instead of 500? > pause. read the 4 principles. > think about every broken diff I reviewed > every rewrite I didn't ask for > every session that ran with wrong assumptions > it didn't have to be like this > one file. everything changes. > skill issue discovered

Kirill

2,499,982 次观看 • 3 个月前