u/No-Concentrate-9921

The 10 fastest growing GitHub repos this week:

1. CloakBrowser (+9.1K stars)

Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.

https://github.com/CloakHQ/CloakBrowser

2. AiToEarn (+4.8K stars)

Let's use AI to Earn!

https://github.com/yikart/AiToEarn

3. agentmemory (+6.9K stars)

#1 Persistent memory for AI coding agents based on real-world benchmarks

https://github.com/rohitg00/agentmemory

4. UI-TARS-desktop (+3.5K stars)

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

https://github.com/bytedance/UI-TARS-desktop

5. 9router (+5.4K stars)

Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.

https://github.com/decolua/9router

6. DeepSeek-TUI (+8.7K stars)

Coding agent for DeepSeek models that runs in your terminal

https://github.com/Hmbown/DeepSeek-TUI

7. AI-Trader (+3.0K stars)

"AI-Trader: 100% Fully-Automated Agent-Native Trading"

https://github.com/HKUDS/AI-Trader

8. skills (+18.3K stars)

Skills for Real Engineers. Straight from my .claude directory.

https://github.com/mattpocock/skills

9. supersplat (+2.6K stars)

3D Gaussian Splat Editor

https://github.com/playcanvas/supersplat

10. hysteria (+952 stars)

Hysteria is a powerful, lightning fast and censorship resistant proxy.

https://github.com/apernet/hysteria

The theme this week: free AI routing hacks and persistent agent memory are the real obsession right now. Bookmark this

People are canceling their Runway and Higgsfield subscriptions after finding this 🤯

An open-source AI studio on GitHub is giving you access to 200+ image/video models for free.

No ads. No paywall. No insane setup.

→ Seedance Pro, Kling, Sora, Veo, Flux, Midjourney-style models

→ Real cinematic camera controls (lens, focal length, aperture, shots)

→ Prompt to production in seconds

→ Works with Claude Code + Codex through a skills library

10.7K+ GitHub stars already. Open-source AI tools are moving faster than startups can monetize them.

Repo👇

if you're a founder writing your own ads, emails, and landing pages at 2am and have no idea if any of it is actually good. this is for you.

someone just open sourced a skill set for Claude that covers every marketing workflow you'd normally hire someone for. 40 skills. ads, email sequences, social content, landing page CRO, pricing strategy, referral programs, launch plans. all of it.

the way it works is dead simple. you install it once and just use short commands:

need ad copy? /ads need a cold email sequence? /emails need to optimize conversions? /cro need a launch plan? /launch need a pricing strategy? /pricing need a referral program? /referrals

and 34 more.

v2.0 just dropped. cleaner skill names, page CRO and form CRO merged into one unified skill, 52 tool integrations, 100+ refinements. biggest update yet.

the whole thing is free and open source. just run this:

npx skills add coreyhaines31/marketingskills

that's it. whole marketing department inside Claude.

i've seen founders pay agencies $3-5k/month for worse output than what this gives you in seconds. not saying AI replaces a great marketer forever but for early stage when you're bootstrapping and every dollar matters this is an unfair advantage.

if you've ever used Apollo or ZoomInfo you know the pain. 15 filters, boolean logic, still getting garbage results. this is completely different.

you just type what you want. like you're texting a friend. "profitable manufacturing companies in Sweden." "fast growing startups in the US similar to my best customers." "tech companies in Europe with +30% growth rate." and it actually understands what you mean and finds them.

65M+ companies in the database. each one comes with a full profile. revenue, employee count, credit ratings, ownership structure, board members, contact information. not just a name and a linkedin link.

but the part that really got me is the recommendations. it looks at your existing customers, pattern matches across industry, size, growth, and behavioral signals, and surfaces lookalike companies you would have never found on your own. basically it's doing the job of a sales analyst without you asking.

you can also connect your email and it auto builds your portfolio from your conversations. monitors news and financial filings for every company you're tracking. sends you AI meeting briefs before calls. the whole pipeline runs itself.

for founders and small sales teams doing outbound this kills that painful "let me spend 2 hours building a lead list" session. one prompt and you're done.

called Aira. link in comments.

this one is for solo founders and first time builders who don't have a cofounder or a team to bounce ideas off of

you give it your startup idea or your existing company and it runs deep market research. competitors, market size, positioning, the whole thing. not some generic ChatGPT summary. actually detailed analysis tailored to your specific idea

then it generates a full roadmap. not a vague "build mvp then get users" type of plan. a hyper detailed step by step breakdown for every stage. what to do first, what comes next, what to prioritize, what to skip

but here's where it gets interesting. you can actually delegate tasks to it. it has your full context. your market, your roadmap, your goals. so when you say "write me a cold outreach strategy" or "draft my landing page copy" it's not starting from zero. it knows your business

basically it's the cofounder that does the research you don't have time for, builds the plan you keep putting off, and helps you execute the stuff you've been stuck on.

in a world where everyone is trying to be a founder this is the kind of tool that actually gives solo builders a real shot

pythe.app

if you've ever spent hours filtering through Apollo or ZoomInfo trying to build a lead list you'll get why this is a big deal.

you literally just type what you're looking for in natural language. "profitable manufacturing companies in Sweden." "fast growing SaaS startups in the US with 50-200 employees." "companies similar to my best customers." and it finds them. with revenue data, employee count, contacts, everything.

but it's not just search. it also recommends lookalike companies based on your existing customers. so it pattern matches across industry, size, and behavioral signals and surfaces companies you would have never found manually.

the thing that makes it different from Apollo or ZoomInfo is that it's not a database you filter through. it's an AI agent. you describe what you want and it goes and finds it. the way it should have always worked.

it also connects to your email and auto builds company profiles from your conversations. monitors news and financial signals across your portfolio. sends you AI meeting briefs before every call. but honestly the lead search alone is worth it.

if you're a founder or early sales hire doing outbound this saves you from that painful 2 hour "let me build a list" session every week.

link in comments

Okay so this isn't some crazy passive income BS. It's actually just a simple service you can sell to local businesses and I've seen multiple people do this.

Here's the idea.

Go scrape Google Maps for businesses in your city. HVAC companies, dentists, salons, law offices, restaurants - anything service-based. Then just call them. Literally just call like a normal customer would. If nobody picks up, or it takes forever - that's your lead.

Because that missed call is a missed customer. These businesses know it, they just haven't done anything about it.

I saw a tool called Nextiva XBert that basically acts as an AI receptionist. Answers calls 24/7, books appointments, handles questions, sends follow-ups. The business pays $99/month for it. You charge $1,000 to set it up and $200/month to "manage" it. Setup honestly takes about 10 minutes once you've done it once and this is perfect for non-technical users.

So the pitch is easy: "hey I noticed you didn't pick up, I can fix that."

Get them on a Google Meet, show a quick demo, close it.

4-5 clients and you're looking at $4k-5k upfront plus $800-1k/month recurring after that.

Tools you need: 

• Google Maps scraper: https://serper.dev/
• Nextiva XBert - https://www.nextiva.com/products/ai-receptionist
• Google Meet
• Claude to write your outreach and prep for objections.

That's genuinely it.

The only hard part is the cold calling. Which is exactly why most people won't do this. Which is exactly why you should.

I saw a few people already doing this quietly. Not sure why it's not talked about more.

Has anyone here tried something similar?

X/Twitter just dropped an official MCP server.

Your AI agent can now search trends, post threads, like, repost, and pull profile data: all through standard tool calls. No scraping. No unofficial wrappers. Just clean API access.

Here's how it works:

1. Clone the repo, add your OAuth credentials, set a tool allowlist.

2. Point your MCP client at localhost:8000/mcp

3. Your agent is live on X

The allowlist is the smart part ie you define exactly what actions are permitted. Start minimal, expand as you test. searchPostsRecent, createPosts, likePost, etc, you're in control.

What this actually unlocks:

Agents that monitor trends and synthesize signal in real time

Autonomous content workflows with zero human-in-the-loop

Research → draft → post, all in one agent run

Link: https://github.com/xdevplatform/xmcp

If you've ever struggled with anti-bot systems while trying to scale a web scraper, you need to check out Scrapling. It’s an adaptive framework designed for the modern web that basically solves all the major headaches of data extraction.

• Zero Bot Detection: It’s built to bypass anti-bot systems like Cloudflare Turnstile naturally out of the box.

• Insane Performance: It claims to be 774 times faster than BeautifulSoup.

• Auto-Healing Parsers: Its parser actually learns from website changes and automatically relocates elements when a page updates, so you don't have to constantly fix selectors.

• Scaleable: It supports multi-session crawls with automatic proxy rotation and pause/resume functionality—all in just a few lines of Python.

It recently hit #1 Repository of the Day on GitHub and already has over 268k downloads.

GitHub: https://github.com/D4Vinci/Scrapling

meta officially connected meta ads to claude

the connector went live on april 29, 2026

the URL is mcp.facebook.com/ads

setup takes about 60 seconds

you go to claude settings, add it as a custom connector, authorize via facebook OAuth, and you're in

once connected, claude has full read and write access to your ad account

you can tell it what you're selling and who you're targeting, and it builds the entire campaign structure for you

ad sets, targeting, copy, everything

it can also monitor your pixel health, upload your product catalog, and generate performance reports

29 tools total, all free during beta

this is the workflow agencies charge $3,000 to $5,000 a month for

I found this on X (Twitter).

The dev created a tool to fight social media addiction in the most chaotic way possible. If you overstay your welcome on sites like X, a cat just appears and blocks everything.

Honestly, I need this for Reddit too.

We’ve all seen it: you ask an AI agent to build a landing page, and it spits out something that looks like a generic 2010 WordPress template. The problem isn't the code; it’s that these models haven’t "seen" what modern, high-end design actually looks like.

I just stumbled upon styles.refero.design, and it’s a game-changer for anyone building with AI.

What is it?

It’s a massive library of 2,000 DESIGN.md files curated from the world’s best digital products. They’ve basically "extracted" design taste into a format that models can actually read and implement.

What’s inside the files?

• Color palettes that don't hurt your eyes.

• Typography scales that actually make sense.

• Spacing and Layout rules used by top-tier products.

• Detailed component structures.

The goal is to stop agents from making "ugly UIs" by giving them a structured reference of what "good" looks like. The best part? It’s currently free.

If you’re tired of manually fixing every padding and hex code after an AI generation, this might be the shortcut we needed.

Link: https://styles.refero.design/