The 10 fastest growing GitHub repos this week:
1. OpenMontage (+17.2K stars)
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
https://t.co/Eyne4RLb91
2. skills (+11.1K stars)
Skills for Real Engineers. Straight from my .claude directory.
https://t.co/PTYJ04IvSV
3. codebase-memory-mcp (+7.6K stars)
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
https://t.co/rdyghXFakB
4. Agent-Reach (+7.2K stars)
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
https://t.co/Bwjgn68nbE
5. daily_stock_analysis (+6.9K stars)
LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
https://t.co/3Pv4wIKQij
6. Anthropic-Cybersecurity-Skills (+5.1K stars)
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · https://t.co/Y0NuBsNoS7 standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
https://t.co/QkecybDfm4
7. design.md (+4.6K stars)
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
https://t.co/KB88s8dTzG
8. ai-website-cloner-template (+3.9K stars)
Clone any website with one command using AI coding agents
https://t.co/q2b9cpOhuE
9. voicebox (+3.8K stars)
The open-source AI voice studio. Clone, dictate, create.
https://t.co/o2JYalF0aB
10. penpot (+3.6K stars)
Penpot: The open-source design tool for design and code collaboration
https://t.co/fUHwzWq6y9
The theme this week: agent skill packs and context files are becoming the new developer dotfiles.
Bookmark this. Next week's list will look completely different.
Matthew Kratter on why spam is a tragedy of the commons:
"It's good for you to pee in the pool. You get immediate relief, but it's bad for everyone else.
The technical word for this is tragedy of the commons — if everyone does it, the pool is ruined. So the Bitcoin blockchain is a commons that needs to be protected.
And there may be people who profit from putting spam on it. One form of spam would be Bitcoin NFTs, which we call inscriptions — putting JPEGs online. They can make a lot of money from it, but then everyone else has to store that for the rest of eternity. This is how spam works."
@mattkratter on The @_BitcoinMatrix #279.
GOLD IS ABOUT TO HIT A DEATH CROSS
Sounds bearish.
But the last time this happened, it marked the exact bottom.
$XAU rallied +190% after.
95% of people will read this signal wrong.
⚠️ DO NOT TAKE THE BLACK PILL.
Gen Z is realizing they are the 4th Turning generation.
There are 4 hidden signs that show they are rewriting all the rules around money, work, housing...
...and almost nobody realizes what it means for Bitcoin.
💥 THE EXIT MANUAL – EPISODE #42
I "simply" can't believe they produced this video.
They're covering this at great personal and professional risk.
They're sharing truth that other platforms are influenced, coerced, and paid to ignore.
Great work, @RustinPeace_SB, @SimplyBitcoin, @hodlonaut, and @plebjkruse.
I wonder, especially since @BlackRock has a major stake in $STRC , who would benefit the most by $MSTR having to dilute more common shares or possibly sell their bitcoin:native
Oh dear. Even Peter Schiff is now calling STRC's decline a "death spiral" (it isn't).
Saylor Derangement Syndrome needs to be studied.
I always found Peter to be at least somewhat balanced and respectful in his criticisms of Bitcoin, but it looks like he's gone off the rails.
Oh dear. Even Peter Schiff is now calling STRC's decline a "death spiral" (it isn't).
Saylor Derangement Syndrome needs to be studied.
I always found Peter to be at least somewhat balanced and respectful in his criticisms of Bitcoin, but it looks like he's gone off the rails.
@Tangem Have you found any issues with the new updates to the IOs and Android app? I updated my app, turned dynamic addressing on and sent two test transactions to my Tangem wallet and after eight hours, still no sight of the transaction ( except on mempool ) ..
Buying it back makes sense economically but sends the wrong message. Having set a precent that it will be defended in this manner opens up new attack vectors. Best path is to gradually rebuild the USD Reserve, follow established guidance on the rates, and pay the dividends as usual.
When $STRC returns to par and you held for a year, you’d make 51.6% return from effective yield + pull-to-par capital gains. Probably more as Strategy will likely increase the dividend as per guidance.
THIS GUY BUILT AN ENTIRE COMPANY AI BRAIN IN CLAUDE CODE IN 7 DAYS
No Obsidian required...
Click any employee and it opens up:
- who they manage
- what projects they're on
- what data they can touch
Every employee gets their own version of Claude
Sales can't see HR data. HR can't see sales.
It knows who you are before you type a word
no dev team
no six month build
no budget
Just Claude Code and one week
This is what it looks like when Claude Code is set up right
Btw ClaudeKit builds this kind of setup into Claude Code out of the box
theclaudekit(.)com
I've made a guide on 9 features most people never touch
find it below
CLAUDE CODE + SELF-CORRECTING LOOP = THE FASTEST WAY TO BUILD AND MONETIZE APPS
most developers burn thousands of dollars manually debugging
this setup forces Claude Opus 4.8 to self-correct - replacing a $95k/year QA engineer with a loop that costs $20/month:
> Builder agent writes code while Checker agent runs tests (separating them eliminates blind spots)
> Orchestrator loops them until all tests pass, capped at 5 runs to save tokens
> Regression guard blocks loops if a fix breaks previously passing tests
without loop guards, agents will literally edit your test suite to force a pass
bookmark this guide to set up the exact loop commands 👇
Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company”
I built my entire workflow using these resources. save this before everyone else copies it:
All 13 Anthropic Academy courses (free certs):
https://t.co/w5yL19jdSo
Agent Architecture:
https://t.co/vLeEHLyAXH
Claude Code 101:
https://t.co/xHX4pgmA7T
Claude Code in Action:
https://t.co/EnDTNUwBFR
Claude Code full docs:
https://t.co/rQqIm2UzAx
Prompt engineering (official):
https://t.co/mDIJScLqKu
Interactive prompt tutorial (hands-on):
https://t.co/JyGDJCJRWO
CLAUDE.md & how to give Claude Opus memory:
https://t.co/PE9vca0h22
Skills, teach Claude reusable workflows:
https://t.co/lz6kMd9vUp
MCP, connect Claude Sonnet to Slack, GitHub, Drive:
https://t.co/aFVuNzJnog
Routines (automate tasks 24/7):
https://t.co/qrPuhuftMR
Claude Code Ultimate Guide (community):
https://t.co/F2SopspJds
Awesome Claude Code (skills, hooks, plugins):
https://t.co/ynPI09BOKe
the entire learning stack costs $0. the resources are free
then read this builder's guide to turn these tools into a self-correcting workspace 👇
@mattkratter They have NOT stopped paying divs. They still have enough cash to pay divs for a few years. Most people owning STRC want income. Think about the fact that if you buy STRC now you're effectively getting more than 11%. Do you think BTC will recover in the next TWO years?
Frontier model access. Sandboxed execution. Agents that work proactively in your channels, monitoring your business, acting on your behalf with zero infra to build. From the team at Airtable.
Claude Fable 5 is dead and GPT-5.6 delaying launch…
Microsoft has changed the game 🤯
They've open-sourced bitnet.cpp, a 1-bit LLM inference framework.
It let's you run 100B parameter models on your local CPU without GPUs.
- 6.17x faster inference
- 82.2% less energy on CPUs
100% Open Source.