Here are 10 GitHub repos that quietly print money while you sleep.
1. Cal. com
Open-source Calendly. Fork it, white-label it, sell to dentists and lawyers for $200/month. The founders hit $5M ARR in 3 years doing exactly this.
Repo → https://t.co/haz8ihRsHm
2. Plausible Analytics
Privacy-first Google Analytics. Self-host it, resell to agencies for $50/month per client. Two founders bootstrapped this to 7 figures.
Repo → https://t.co/RFrcpqTBQ7
3. Ghost
Open-source Substack with 100% margin. 1,000 readers at $5/month equals $60,000 a year. Forever.
Repo → https://t.co/Z1MdZ5Zapg
4. n8n
Open-source Zapier. Sell automation services for $500-$2,000 per setup. n8n raised $14M because the agency model behind it works.
Repo → https://t.co/hdycABGGc1
5. Supabase
Free Firebase replacement. Build a SaaS in a weekend, charge $29-$99/month. They raised $116M for a reason.
Repo → https://t.co/dFB2QvafA7
6. Medusa
Open-source Shopify. Take 5% on every sale forever. Zero rev share to Shopify.
Repo → https://t.co/uEuCK6zuZO
7. AppFlowy
Open-source Notion. Sell self-hosted to enterprises worried about data privacy. They raised $30M because this market is massive.
Repo → https://t.co/IDMykTCkMU
8. Coolify
Open-source Vercel and Heroku. Charge developers $20/month to manage their deployments. Replace their $200 Vercel bill.
Repo → https://t.co/N5Fk22qraT
9. Listmonk
Open-source Mailchimp. Send unlimited emails for the cost of an AWS bill. Resell to agencies at 10x markup.
Repo → https://t.co/NS6Uukcklw
10. Penpot
Open-source Figma. Sell self-hosted design tools to agencies who refuse to upload client files to the cloud.
Repo → https://t.co/Lx1CYUP4p4
The difference between developers who build features and developers who build businesses is one decision.
Pick one of these. Fork it this weekend. Ship it next week.
The founders behind these repos already proved the model.
Save this. Share it with the developer in your life who deserves to break free.
100% free. 100% open source.
We built 12 Claude Code skills that run our entire paid media ops across Google, Meta, and LinkedIn at ColdIQ (and we're giving the whole pack away).
Our head of growth Ivan Falco runs $200K/month in ad spend from a terminal. It's how we doubled client load this year without losing quality.
The skills do the work that used to fill our media buyers' calendars: spot creative fatigue, adjust bids, upload audiences, run bulk edits, flag broken campaigns, build reports.
Each skill does a specific job:
Google Ads:
→ keyword-analyzer: audits quality scores and finds keyword gaps
→ negative-keywords: reviews search terms and blocks wasted spend
→ performance-auditor: compares periods and flags what changed
→ search-terms: surfaces queries burning budget with zero conversions
Meta Ads:
→ audience-builder: turns CRM lists into custom audiences
→ creative-fatigue-analyzer: spots declining CTR before the metrics flag it
→ fatigue-monitor: flags when your audience is saturated
→ spend-tracker: tracks budget pacing across every campaign
LinkedIn Ads:
→ audience-builder: builds targeting audiences at scale
→ bid-optimizer: adjusts bids across campaigns in bulk
→ bulk-editor: mass edits campaigns, ads, and naming in seconds
→ creative-builder: generates ad creatives from brand specs
You drop them into Claude Code, connect your ad accounts, and tell it what you need. It reads the skill, plugs into the platform, executes.
300+ hours of work went into building these.
Comment ADS and we'll send all 12 over.
My current workflow:
1. I have an idea. I open Codex desktop app to plan (without plan mode: overcomplicated). I use Codex 5.5 High (fast).
2. Once I get v1 of the plan, I use this hack:
"Are you 100% confident in this strategy? If not, find all possible loopholes, suggest proper fixes, and run this loop until you are factually 100% confident in the new strategy."
3. This finalizes my plan, schema, and file tree, rules and quality gates. Then I use DeepSeek V4 Pro and Kimi 2.6 as executors. So Codex acts as the orchestrator, and these two act as executors.
4. Codex uses computer use to test in the browser, run deep quality checks, and only pass high-quality outputs to production.
5. I make Codex autonomous so it can plan, execute, audit, fix, and continue executing each task. Similar to what /goal is right now.
That's it. I just oversee reports, current status, and final outputs. I trust Codex 5.5 when I have robust specs attached.
Also, a few tips:
- Tell Codex: keep folders, subfolders, and files neat and clean. Well-organized, with no dead code or unused files.
- Always make a task list for every item you work on. (This fixes the Codex quitting-in-the-middle/context-loss issue.)
- Use the "measure twice, cut once" policy so you get things right the first time.
- Don't overcomplicate your workflow, and don't overlook important things.
This flow is running brilliantly. Super cheap because of DeepSeek V4 API costs, while the intelligence comes from Codex 5.5.
And yes, I don't use Opus 4.7/4.6 because that model is nerfed now. It hallucinates its work, is always in a rush to wrap up the session, and gets stuck in loops while debugging.
So try this simple Codex × DeepSeek/Kimi workflow and thank me later.
You can now give Hermes, Claude Code, and Codex infinite memory.
For free.
Agentmemory just dropped.
It records what Claude does during your coding sessions. Compresses it with AI. Injects relevant context back into future sessions.
CLAUDE md dumps 22,000+ tokens into context at 240 observations
agentmemory: 1,900 tokens. same observations. 92% less.
at 1,000 observations, 80% of your built-in memories become invisible. agentmemory keeps 100% searchable.
benchmarked on 240 real coding sessions, not projected
The numbers are wild:
→ Up to 95% fewer tokens per session
→ 200x more tool calls before hitting context limits
→ 100% open source
1000 GitHub stars already on one week.
I've shipped 50+ production agents. Context limits have killed more sessions than I can count.
This changes how you build with Claude Code.
No more re-explaining your codebase every session.
No more losing decisions after /compact.
No more starting from scratch.
Claude finally remembers.
https://t.co/kU1y2aKmPx (2.3K stars)
♻️ Repost if you're tired of context limits.
🙏 Follow for more production AI tools.
Turn Claude into the best co-founder in the world!
Our users generate over 1 thousand apps and websites every month.
Just tell Claude your idea. It does the rest.
RT + comment "SHIPPER" for random free credits!
Stop typing “make it look modern”.
There are 2,000+ 𝗗𝗘𝗦𝗜𝗚𝗡.𝗺𝗱 files from top products.
Colors. Typography. Spacing. Component rules.
All packed into a single Markdown file your AI reads before it generates anything.
→ Works with Claude Code, Cursor, Lovable, Bolt
→ 100% Free to use
Pick a style you like. Drop it in your repo.
Someone compiled every free public API on the internet into one massive GitHub repo.
You can build anything:
- AI, ML, Authentication, Blockchain
- Crypto, Finance, Maps, Weather
- Games, Music, Books, News
- 1,400+ APIs across 48 categories
421K stars. 100% Opensource.
Repo link below
I hated how bad agents are at design
I hated how Codex can't access Mobbin
So I created Lazyweb
- 257k+ screens (apps/web)
- 6 opinionated design research skills
- 1 MCP (Claude/Codex)
100% Free...AI native...no rate limits...no subscriptions..
Enjoy (and tell a friend) 🫡
🚨 Developers are going to love this.
Someone built AutoSkills, a one-command installer that gives your AI coding agent the right skills for your repo.
No more giant CLAUDE.md files trying to explain the entire universe.
No more copying “best Cursor rules” from random Twitter threads.
No more agents writing Express code in a Next.js project.
It reads your project.
Figures out the stack.
Installs matching skills.
Verifies the files.
Locks the install.
The supported stack list is insane:
React, Next.js, Vue, Nuxt, Svelte, Angular, Astro, Tailwind, shadcn, TypeScript, Go, Node, Bun, Deno, Supabase, Neon, Prisma, Drizzle, Stripe, Clerk, Playwright, Vercel, Cloudflare, AWS, Azure, Terraform, Expo, Flutter, SwiftUI, Electron, Tauri.
Basically agent onboarding in one command.
Link in comments.
Best GitHub repos for Claude Code that will 10x your next project in 2026
1. Claude Mem
https://t.co/qrfBcNVA4G
Persistent memory across sessions — stop re-teaching Claude your codebase
2. UI UX Pro Max
https://t.co/MFfeBy1df7
50+ styles, 161 color palettes, 99 UX guidelines — Claude stops building ugly UIs
3. n8n-MCP
https://t.co/m1IjACB2Ry
Connect Claude Code to 400+ n8n integrations via MCP
4. LightRAG
https://t.co/BFc5t8rxvh
Graph + vector RAG — lets Claude understand large codebases structurally
5. Everything Claude Code
https://t.co/GXauZKz130
Skills, instincts, security scanning, multi-language coverage — full agent harness
6. Awesome Claude Code
https://t.co/W8KY5Z2Zis
Community bible — curated skills, hooks, slash commands, orchestrators
7. Superpowers
https://t.co/32Ur3WW22j
Forces structured thinking before writing a single line of code
8. Claude Code Ultimate Guide
https://t.co/8Tx6bR6bNL
23K+ lines of docs, 219 templates, 271 quizzes — beginner to power user
9. Antigravity Awesome Skills
https://t.co/J5Fg1wn37s
1,200+ ready-to-use skills — one of the largest collections
10. Claude Agent Blueprints
https://t.co/cx8aRwPil2
75+ agent workspace templates beyond coding
11. VoiceMode MCP
https://t.co/U02j2zXNeh
Natural voice conversations with Claude Code via Whisper + Kokoro
12. Awesome Claude Plugins
https://t.co/ZuRpc85hXg
9,000+ repos indexed with adoption metrics — find what people actually install
Bookmark this before your next build.
🚨 Meta released their Ads MCP and CLI today – if you use Claude or ChatGPT you should install this asap (resources in comments).
What makes this announcement so interesting is that it gives AI tools direct, authorized access to help manage your Meta Ads account through natural language.
1. Comprehensive reporting
Pull detailed reports, surface performance trends, and quickly understand what is happening across campaigns.
2. Campaign management
Create and edit campaigns, ad sets, and ads without manually clicking through Ads Manager.
3. Catalog management
Create product catalogs, add product data, and troubleshoot feed issues faster.
4. Signal diagnostics
Access signal health and quality insights so you can prioritize the parts of your setup that need attention.
This is a huge step forward in agentic media buying. Will be testing this rest of the week!