Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

10 GitHub repos with 1,8M+ combined stars ⭐ that replace tools costing $30,000+/year 1. awesome ⭐495k - the list of every other list. Whatever you're looking for, it's here. 2. public-apis ⭐456k - 1,400+ free APIs across 50 categories. Weather, finance, images, games, all documented. 3. scrapling ⭐73.6k -...

116,102 Aufrufe • vor 1 Monat •via X (Twitter)

40 Kommentare

Profilbild von AI Mastery Guide
AI Mastery Guidevor 1 Monat

Saving this whole list

Profilbild von hitu
hituvor 1 Monat

bookmarking this list right now for future projects

Profilbild von Petey struggles
Petey strugglesvor 1 Monat

hey codex build me a service containing all of these tools make no mistakes and do the distribution for me i cant be arsed

Profilbild von beamnxw ./
beamnxw ./vor 1 Monat

best repos!

Profilbild von ieatded
ieatdedvor 1 Monat

Wow thank you Saved it

Profilbild von Fox
Foxvor 1 Monat

yooo man fire repos already booked them

Profilbild von ALEXYZ
ALEXYZvor 1 Monat

public apis is a goldmine huge value here

Profilbild von Gregor
Gregorvor 1 Monat

public-apis is optimism in a list. tried 6 finance category entries, 3 deprecated, 2 rate-capped at 100 req/month. the $30k tool buys you a phone call when prod dies at 2am

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 1 Monat

@unicodef1wn wow, this is gold. public-apis has been a game-changer for my projects. saves so much time and money!

Profilbild von AI Apps API
AI Apps APIvor 1 Monat

Good list. The caveat worth adding is that stars and production readiness are different numbers. The repos that hold up are the ones with a real release cadence and an issue tracker where maintainers still answer, which is not always the ones with the biggest count.

Profilbild von sum1
sum1vor 1 Monat

I haven't heard of open-design ths for sharing

Profilbild von TARAS PD
TARAS PDvor 1 Monat

Curating these resources is a smart way to build your own toolkit. Shifting from consumer to creator of value often starts with recognizing where you can redirect your own attention and effort.

Profilbild von unicode
unicodevor 1 Monat

you should focus your attention on things that are useful and can save you money

Profilbild von yuhao
yuhaovor 1 Monat

请问使用的屏幕录制软件是什么?

Profilbild von unicode
unicodevor 1 Monat

i use Screen Studio to make my videos

Profilbild von yuhao
yuhaovor 1 Monat

谢谢!我知道了

Profilbild von Azeem
Azeemvor 1 Monat

cool

Profilbild von Wallchain Community Hub
Wallchain Community Hubvor 1 Monat

absolute alpha right here, saved

Profilbild von Gipp 🦅
Gipp 🦅vor 1 Monat

free tiers matter more when tools replace recurring subscriptions

Profilbild von 0xbobaa
0xbobaavor 1 Monat

Thanks for such a great selection

Profilbild von unicode
unicodevor 1 Monat

you're welcome, bro! i'm glad you liked it

Profilbild von biektropic
biektropicvor 1 Monat

$30k saved on SaaS, 300 hours added to maintaining your own stack

Profilbild von Dwight Hopkins
Dwight Hopkinsvor 1 Monat

Great post!

Profilbild von 外贸 AI 获客实战派 · 老周
外贸 AI 获客实战派 · 老周vor 1 Monat

the 'free repo replaces $30k tool' math always skips the real cost — your time wiring it up, maintaining it, and the 2am breakage. sometimes the boring paid tool is actually cheaper than the free one

Profilbild von Sam Lee
Sam Leevor 1 Monat

Thank you

Profilbild von _alphashark_
_alphashark_vor 1 Monat

Has anyone pushed scrapling against Cloudflare's newer Turnstile challenges, or is the bypass still Cloudflare-classic only?

Profilbild von Kai Benetti
Kai Benettivor 1 Monat

good sources. thx

Profilbild von Yumzlef
Yumzlefvor 1 Monat

what he built with AI is the kind of thing that would have taken a full team a year ago — that's the shift people aren't seeing

Profilbild von Granite
Granitevor 1 Monat

ollama is the one on here i actually kept. running models locally with no api bill quietly killed half my subscriptions

Profilbild von Blum
Blumvor 1 Monat

found a couple of seriously useful repos here

Profilbild von DANHO B. ESAIE
DANHO B. ESAIEvor 1 Monat

Wonderful 🤩 big thank 😊

Profilbild von qurool
quroolvor 1 Monat

with ai era there are a lot of git hub repos that everyone needs

Profilbild von Vikram Grover
Vikram Grovervor 1 Monat

Worth checking out Lanesra OS — an open-source CRM with low-code configuration, workflow automation, code extensibility, custom objects and APIs. Built to be flexible, extensible and free from per-user licensing.

Profilbild von Kaivorn
Kaivornvor 1 Monat

that awesome list is a rabbit hole always find something new

Profilbild von unicode
unicodevor 1 Monat

yep. my selections are perfect for everyone

Profilbild von dhinna ship .ico
dhinna ship .icovor 1 Monat

Public-apis lists them until the quota expires

Profilbild von Kb
Kbvor 1 Monat

@grok find api sources where i can find these repos & more new trending ones

Profilbild von hailports
hailportsvor 1 Monat

the real cost of "free" is the friday night you spend debugging some maintainer's half-abandoned fork instead of paying for the thing that just works.

Profilbild von Jeffrey
Jeffreyvor 1 Monat

Thank you, great collection of resources

Profilbild von Joey
Joeyvor 1 Monat

@threadreaderapp unroll

Ähnliche Videos

20 GitHub repos with 2.4M+ combined stars that replace tools costing $60,000+/year 1. public-apis ⭐456k - 1,500+ free APIs across every category, weather to finance to games, all documented. 2. awesome-selfhosted ⭐312k - self-hosted replacements for Notion, Google Photos, Zapier, and dozens more paid subscriptions. 3. hermes-agent ⭐230k - self-improving personal agent with persistent memory, cron scheduling, MCP built in. Free alternative to paid always-on agent platforms. 4. n8n ⭐200k - visual automation with native AI agents. Replaces Zapier/Make entirely, self-hosted. 5. ollama ⭐178k - run Llama, Mistral, DeepSeek locally with one command. No API bill, no rate limits. 6. dify ⭐152k - visual builder for AI agents and RAG pipelines. Skip the $500/mo no-code AI builder subscription. 7. free-for-dev ⭐132k - hundreds of services with permanent free tiers. No trials, no credit card. 8. awesome-llm-apps ⭐132k - 100+ ready AI agents and RAG apps with full code. 9. awesome-mcp-servers ⭐92k - thousands of MCP servers connecting your agent to browsers, databases, anything. 10. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 11. strapi ⭐73k - open-source headless CMS, generates a full API from your content model in minutes. No Contentful bill. 12. immich ⭐110k - self-hosted photo and video backup with face recognition. Cancel the Google Photos storage plan. 13. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 14. medusa ⭐36k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 15. novu ⭐39k - notification infrastructure for email, SMS, push, in-app, all in one API. Replaces OneSignal's paid tiers. 16. tooljet ⭐38k - drag-and-drop internal tool builder connected to any database or API. Retool's seat pricing gone. 17. mattermost ⭐38k - self-hosted team chat built for engineering orgs. Slack without the per-seat bill. 18. outline ⭐40k - fast, clean team wiki and docs. Replaces Confluence and Notion's team plan. 19. plausible ⭐28.5k - privacy-friendly analytics, lightweight script, real dashboards. No GA360 contract needed. 20. openwork ⭐22k - open-source Claude Cowork alternative. Share skills and MCPs across Claude Code, Cursor, Codex, one setup for every agent. Save this before you pay for another tool this list already replaces for free 👇

unicode

34,424 Aufrufe • vor 1 Monat

10 GitHub repos with 637k+ ⭐️ combined stars that save vibe coders $20,000+/year in SaaS bills 1. infisical ⭐️ 28.7k - secrets, API keys, and access all in one place with encryption and audit logs. Skip this and your .env eventually leaks into a public repo along with your bill. 2. shadcn/improve ⭐️ 8.8k - your expensive model audits the codebase and writes the plan, a cheap model executes it. 3. trigger dev ⭐️ 16k - background jobs and AI agents with no timeouts and no per-run billing. 4. n8n ⭐️ 200k - visual automation with native AI agents. Replaces Zapier/Make entirely, self-hosted. 5. pocketbase ⭐️ 60k - your entire backend in one file: SQLite, auth, realtime, file storage. Replaces Firebase for solo projects, no monthly bill. 6. coolify ⭐️ 60.4k - self-hosted PaaS, alternative to Vercel/Heroku/Netlify. Deploy to your own VPS with one script, no function limits. 7. dify ⭐️ 152k - visual builder for AI agents and RAG pipelines. Skip the $500/mo no-code AI builder subscription. 8. posthog ⭐️ 37k - product analytics, session replay, feature flags, A/B testing, self-hosted. Replaces Mixpanel + LaunchDarkly combined. 9. metabase ⭐️ 48.7k - BI and dashboards without a Looker/Tableau license. Point it at your DB and ship charts today. 10. zulip ⭐️ 25.6k - threaded team chat, self-hosted. Replaces Slack's paid tier once your team grows. Save this before you pay for another tool this list already replaces for free 👇

unicode

40,329 Aufrufe • vor 1 Monat

10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

self.dll

361,846 Aufrufe • vor 5 Monaten

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,256 Aufrufe • vor 1 Jahr

most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.

AlphaCartel

108,121 Aufrufe • vor 5 Monaten

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

Nav Toor

394,897 Aufrufe • vor 5 Monaten

If your MCP server has dozens of tools, it’s probably built wrong. You need tools that are specific and clear for each use case—but you also can’t have too many. This creates an almost impossible tradeoff that most companies don’t know how to solve. That’s why I interviewed my friend Alex Rattray (Alex Rattray), the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. I had him on Every 📧’s AI & I to talk about MCP and the future of the AI-native internet. We get into: • Design MCP servers to be lean and precise. Alex’s best practices for building reliable MCP servers start with keeping the toolset small, giving each tool a precise name and description, and minimizing the inputs and outputs the model has to handle. At Stainless, they also often add a JSON filter on top to strip out unnecessary data. • Make complex APIs manageable with dynamic mode. To solve the problem of how an AI figures out which tool to use in larger APIs, Stainless switches to “dynamic mode,” where the model gets only three tools: List the endpoints, pick one and learn about it, and then execute it. • MCP servers as business copilots. At Stainless, Alex uses MCP servers to connect tools like Notion and HubSpot, so he can ask questions like, “Which customers signed up last week?” The system queries multiple databases and returns a summary that would’ve otherwise taken multiple logins and searches. • Create a “brain” for your company with Claude Code. Alex built a shared company brain at Stainless by keeping Claude Code running on his system and asking it to save useful inputs—like customer feedback and SQL queries—into GitHub. Over time, this creates a curated archive his team can query easily. • The future of MCP is code execution. Instead of giving models hundreds of tools, Alex believes the most powerful setup will be a simple code execution tool and a doc search tool. The AI writes code against an API’s SDK, runs it on a server, and checks the docs when it gets stuck. This is a must-watch for anyone who wants to understand MCP—and learn how to use them as a competitive edge. Watch below! Timestamps: Introduction: 00:01:14 Why Alex likes running barefoot: 00:02:54 APIs and MCP, the connectors of the new internet: 00:05:09 Why MCP servers are hard to get right: 00:10:53 Design principles for reliable MCP servers: 00:20:07 Scaling MCP servers for large APIs: 00:23:50 Using MCP for business ops at Stainless: 00:25:14 Building a company brain with Claude Code: 00:28:12 Where MCP goes from here: 00:33:59 Alex’s take on the security model for MCP: 00:41:10

Dan Shipper 📧

15,645 Aufrufe • vor 1 Jahr