Liberals’Nightmare007

M here to thrash librandus. UP se hu toh galiya prasad samajh ke le lena.

[Khushi Doshi @aiwithkhush]

10 GITHUB REPOS THAT SCRAPE THE ENTIRE INTERNET FOR YOU

Bookmark every single one. Each one pulls clean data off any website on earth, the kind of access companies sell behind a sales call and a contract.

1. https://t.co/yjhB8qsY2r

Point it at any website and it crawls every page, renders the JavaScript, and hands back clean structured data an AI can read instantly. It crossed 130K stars and landed in GitHub's top 100 repos. The scraping backbone half the AI startups quietly run on, open for anyone.

2. https://t.co/H8tTZjwd7O

The #1 trending crawler on GitHub. Turns any site into clean, LLM-ready markdown, faster than the paid services and with no API key, no account, no per-page fee. A dev built it in days after getting fed up paying $16 for a gated scraper. 51K stars. Apache 2.0.

3. https://t.co/xgLQDLB4HL

An AI agent that drives a real browser like a human, clicking, scrolling, logging in, filling forms, and pulling data off sites it has never seen before. Two ETH Zurich researchers built it and it hit 95K stars in about a year. The thing that scrapes pages no simple crawler can reach. MIT.

4. https://t.co/bBDy50sR9R

The full professional scraping framework, with rotating proxies, automatic retries, browser fingerprint spoofing, and queue management, all the machinery that keeps you from getting blocked. The exact stack scraping companies charge thousands to operate, handed to you for free.

5. https://t.co/nKhjeJxe1F

The original industrial-strength scraper that has quietly powered data teams for over a decade. Crawl millions of pages, extract anything, export it clean. Battle-tested at a scale most paid tools never reach, and free the entire time.

6. https://t.co/0NeYEdAWDt

Microsoft's own tool that converts any file or web page, PDFs, Office docs, HTML, images, into clean markdown an AI can actually use. The messy-data-to-clean-data step companies build whole pipelines around, open-sourced by Microsoft itself.

7. https://t.co/vyKqqy18Pi

A stealth scraper built to stay invisible, adapting automatically when a site changes its layout and slipping past the bot detection that stops everything else. The cat-and-mouse layer that anti-scraping vendors sell as a premium feature, free and open.

8. https://t.co/o9TuMdEQ1l

Mirror and control any Android phone from your computer to pull data and automate apps that have no website at all. The bridge into mobile-only platforms that most scrapers can't touch. 130K+ stars. Apache 2.0.

9. https://t.co/24FQISv92x

Show it one example of what you want and it figures out the pattern and scrapes the rest of the site automatically. No selectors, no code to maintain. The "just get me this data" button, in a few lines of Python.

10. https://t.co/BgL79bWL89

A version of curl that perfectly mimics a real browser's fingerprint, so the requests sneaking past every defense look exactly like a human with Chrome open. The lowest-level trick the expensive scraping APIs are quietly built on top of.

Companies sell this access for $2,000 a month. The source code is right here.

[Oliver Prompts @oliviscusAI]

Turn Claude Code into a full academic research team with this guide.

> Deep Research: 13 agents, 8 modes
> Academic Paper: 12 agents, 11 modes
> Academic Paper Reviewer: 7 agents
> Academic Pipeline: 10-stage orchestrator with citation verification

Free for non-commercial use.

[rob. @robiartec]

Link al repo: https://t.co/BJqaU8eXSD

[Nav Toor @heynavtoor]

There is a GitHub repo that activates Windows for free.

It has 178,783 stars.

GitHub is owned by Microsoft.

Microsoft has not taken it down.

For six years.

The repo is called Microsoft Activation Scripts. It is run by a group called massgravel. No real names. No company. No address. Just a blog at https://t.co/AyjTLJNzFm and 7,311 followers.

It activates Windows 7, 8, 10, and 11.
It activates Office 2010 through Office 2024.
It activates Office LTSC 2024.
It activates Project and Visio.
Four different methods. One of them activates Windows permanently.

Here is what Microsoft charges for what this repo does for free.

Windows 11 Pro: 199.99 dollars.
Windows 11 Home: 139 dollars.
Office Home and Business 2024: 249.99 dollars.
Microsoft 365 Family: 129.99 dollars a year. Forever.
Microsoft 365 Personal: 99.99 dollars a year. Forever.

The repo: zero. One command. Forever.

Microsoft raised the 365 Family price from 99.99 to 129.99 dollars in 2025. They said it was for Copilot.

Microsoft raises Business prices again on July 1, 2026.

The repo went up zero dollars in 2025.
The repo will go up zero dollars in 2026.
The repo will go up zero dollars forever.

Last commit: one week ago.

License: GPL-3.0.

178,783 stars. Hosted on Microsoft. Activates Microsoft. For free.

Do not install it.

(Link in the comments)

[Marcos Rico Peng @Marcos12345rico]

today we're launching @Palmier_io, a video editor Claude can edit.

use AI to edit, organize, and generate footage directly in the timeline.

finally, a video editor built for AI.

open-source. mac native. available now.

[Ayaan 🐧 @twtayaan]

Just found the most insane free resource for Kubernetes certifications. 🤯

One GitHub repo. Every single CNCF certification. Courses, labs, docs, tips and free practice tests all in one place.

Kubestronaut is the highest Kubernetes title you can earn. It requires passing 5 CNCF certifications.

Here is everything it covers:

→ CKA: Certified Kubernetes Administrator
→ CKAD: Certified Kubernetes Application Developer
→ CKS: Certified Kubernetes Security Specialist
→ KCNA: Kubernetes and Cloud Native Associate
→ KCSA: Kubernetes and Cloud Security Associate
→ CGOA: Certified GitOps Associate
→ CAPA: Certified Argo Project Associate
→ CCA: Cilium Certified Associate
→ KCA: Kyverno Certified Associate
→ OTCA: OpenTelemetry Certified Associate
→ PCA: Prometheus Certified Associate
→ ICA: Istio Certified Associate
→ CNPE: Certified Cloud Native Platform Engineer
→ LFCS: Linux Foundation Certified System Administrator

No paywalls. No fluff. Just the exact resources that help you pass.

Bookmark this. You will thank yourself later.

Repo here:
https://t.co/38wHrXgbjq

[Rony @Ronycoder]

This 18-minute MrBeast breakdown will teach you more about getting views, growing on YouTube, and going viral than most creators learn in years.

Bookmark it and give it 18 minutes today, no matter what.

[Jaydeep @_jaydeepkarale]

Kubernetes was hard until I watched these videos

[Sagar ✭ @sarlloc]

I use llms now to learn everything.

I give this initial prompt, and it becomes the best teacher I have ever had.

Link to the prompt: https://t.co/wXO9EMCEqG

[MIKE @mikenevermiss]

https://t.co/tlLZjVprSj

[Khairallah AL-Awady @eng_khairallah1]

this is f*cking gold

How to build your first AI agent (Full guide)

if I had this a year ago, I would've shipped my first agent in a day instead of 2 weeks

in the right hands, this changes everything:

[Freddy Montes @fmontes]

No se pueden acostar hoy sin leer esto.

[am.will @LLMJunky]

Do yourself a favor

Stop what you're doing.

This is important.

Even if you don't have a GPU.

Go download one of the latest local models and just keep it in storage.

There may come a time when you can no longer access intelligence freely

12-27B is enough.

[farxxxxx @farxxxxx1]

https://t.co/f3X0GHXL5e

[Nav Toor @heynavtoor]

10 GitHub repos that defined 2026 so far.

Bookmark this list.

1. OpenClaw
Peter Steinberger went from 9,000 to over 300,000 stars in months. Personal AI assistant that runs entirely on your devices. Steinberger joined OpenAI shortly after.
Repo → https://t.co/9B3jxI7HwY

2. anthropics/skills
135,000 stars. The patterns Anthropic uses internally to extend Claude. The repo that defined the skills ecosystem of 2026.
Repo → https://t.co/6VBUdubDG0

3. affaan-m/everything-claude-code
141,000 stars. The complete library of Claude Code skills, agents, and commands. The aggregator every serious builder forks.
Repo → https://t.co/PaXno1QqDi

4. andrej-karpathy-skills
Forrest Chang built a single CLAUDE md file in January. 109,000 stars. The most starred single-file repo in GitHub history.
Repo → https://t.co/unItpr073y

5. Hermes Agent
Nous Research released this in February. 105,000 stars. The self-evolving AI agent that gets smarter the more you use it.
Repo → https://t.co/OMgRfKAts4

6. obra/superpowers
94,000 stars. Officially accepted into Anthropic's skills marketplace. Multi-agent orchestration without the boilerplate.
Repo → https://t.co/Z7i3fzf4s4

7. claude-task-master
Multi-agent orchestration on top of Claude Code. Turn one prompt into a coordinated team of specialists shipping a feature while you sleep.
Repo → https://t.co/0xYzJpSX4z

8. MemPalace
Milla Jovovich, the actress from Resident Evil, co-built this with Ben Sigman using Claude Code. Near-perfect score on the LongMemEval benchmark.
Repo → https://t.co/o8xKSTz60D

9. karpathy/autoresearch
Andrej Karpathy released his own research automation framework. 23,000 stars in three days. The closest thing to having Karpathy as your research partner.
Repo → https://t.co/YURNnYJJN3

10. karpathy/nanochat
Karpathy released a complete pipeline to train a ChatGPT from scratch for $100. 54,800 stars. The best ChatGPT money can buy is the one you train yourself.
Repo → https://t.co/BZYF0qXE9z

Save this. Share it with the developer in your life who deserves to know what they missed.

100% free. 100% open source.

[John @johnvirality]

claude fable 5 just made it possible to post 100 AI UGC videos per day across 4 platforms in JUST 30 minutes of production

everything else runs 100% autonomously

clippers might be cooked 😭

this mythos model watches raw video footage and finds viral moments transcripts would miss

it scrolls tiktok while you sleep and builds trend reports, generating 100 production packages and renders them through higgsfield MCP without you touching another tab.

so i documented the ENTIRE machine with every prompt, every setup instruction, and every workflow step

here's what's inside:

→ the overnight market research system that runs while you sleep

(cowork scrolls 5 platforms, analyzes 60-80 pieces of content each, returns a trend intelligence report with 10 specific content ideas by the time you wake up)

→ raw-pixel clip identification that finds moments human clippers miss

(facial expression shifts, product reveals, body language peaks, visual incongruities. all timestamped and ranked by predicted virality.)

→ batch script and asset generation: 20 complete production packages per prompt, run 5x for 100 total

(6-shot scripts, character prompts, product frame prompts, voice direction, platform captions. 15-25 minutes total.)

→ the higgsfield MCP pipeline that renders all 100 videos automatically

(fable 5 calls seedance 2.0 directly. character reference locked. lip sync aligned. zero human involvement.)

→ the virality predictor that filters your top 20 candidates before posting

(hook score, hold rate, brain region activation. bottom 5 get diagnosed and revised automatically.)

→ the CPM math: 400 platform-posts/day × 3,000 avg views = 36M views/mo = $180k/mo at $5 CPM

→ all 6 copy-paste prompts that run the entire machine

all from my personal experience in looking behind the scenes on how Rizz App + Looksmax AI + Memix scaled past 7-figures with this method

like + comment "100" and i'll send you the ENTIRE system

(must be following + RT for priority access)

will stop sending these out in 24h...

[Harman @itsharmanjot]

A GRAD STUDENT WITH 32 FOLLOWERS JUST HIT 56,400 STARS.

His name is Yuxiang Lin. GitHub handle: Lum1104.

He's at Georgia Tech. He researches multimodal emotion recognition. He plays badminton in his spare time. His personal site is a .dev subdomain. His pinned bio still says he's "currently working on LLM agents."

A few months ago he had 655 stars on a side project called Understand-Anything — a plugin that turns any codebase into an interactive knowledge graph.

Then everything broke open.

The project got picked up by Egonex (Infinite Universe, Inc.). It went from a personal repo to an org-backed release. It got translated into Chinese, Traditional Chinese, Japanese, Korean, Russian, and Spanish. It hit Trendshift.

56,400 stars later, it's becoming the default code-understanding plugin for nearly every AI coding tool that exists — Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, OpenClaw, Antigravity, Pi Agent, Vibe CLI, Hermes, Cline, KIMI CLI, and Trae.

Here's what the plugin does:

→ Tree-sitter parses your codebase for the structure
→ LLM agents add the meaning
→ Builds a knowledge graph of every file, function, and class
→ Opens an interactive dashboard you can pan, zoom, and search
→ Generates guided tours so you learn a 200K-line codebase in the right order
→ Tells you what your changes break before you commit
→ Auto-updates on every commit via a post-commit hook

568 commits. 7 releases. MIT license. v2.7.3 shipped May 19, 2026.

One honest note: the LLM passes cost real tokens on large repos. The structural graph is free and reproducible. The semantic layer is where your model bill shows up.

The README still credits him by name. The license still has his name on it. © Yuxiang Lin and Infinite Universe, Inc.

A researcher who studies how machines understand human emotion built the tool that finally teaches machines to understand code.

This is what open source was supposed to feel like.

100% Open Source.

Repo in the first comment.

[Liberals’Nightmare007 @AnonymousBot00]

@rautsanjay61 Behan ke lode muh mei lund dunga kutte ka tere

[vladuah @vladuah]

Day 1 of posting AI YouTube videos daily until hitting $6,700 a month

The niche came from a single video - a man begging to get inside to escape a tornado. 15,000,000 views. The format was the product.

Same format. Different threat. A gorilla instead of a tornado.

ChatGPT wrote the prompt. Sora generated the video. ViewMax removed the watermarks and added an AI script and voiceover.

Total production time: minutes.

The logic is clean: find a format with 15,000,000 views behind it. Don't reinvent. Replace 1 variable. Post daily and let volume find the hit.

Day 1 is done. The video is live.

The channel either compounds or it doesn't. That answer comes from consistency, not talent.

30 days of this and the data tells you everything.

[Liberals’Nightmare007 @AnonymousBot00]

Robinson rocket https://t.co/PwkkhTYzfW