Rofl Bofl

#StandWithUkraine

[Vivek | Cybersecurity @VivekIntel]

⚡ NOX Framework – Open-Source Cyber Threat Intelligence Engine

NOX Framework is an advanced cyber threat intelligence platform built for red teams, digital forensics analysts, and security researchers. Powered by a fully asynchronous architecture, it integrates 124 intelligence sources, automated asset pivoting, identity correlation, breach intelligence, dorking, paste monitoring, and forensic reporting into a single framework.

Its standout feature is the Recursive Avalanche Engine, which automatically discovers and pivots through emails, usernames, domains, hashes, and other indicators to uncover deeper intelligence relationships. With built-in OPSEC protections, proxy rotation, Tor support, risk scoring, and enterprise-grade reporting, NOX helps analysts conduct large-scale investigations efficiently and securely.

🔗 https://t.co/Xn4i7fyvGr

#OSINT #ThreatIntelligence #CyberSecurity #DigitalForensics #CTI

[Learn Computer @learn_computerx]

Android secret codes

[Tom Dörr @tom_doerr]

Scans 840+ platforms for social media usernames using AI detection

https://t.co/7SyUj1bwnP

[Yero @Yerocode0]

Un abogado pierde una semana en un contrato de 500 páginas.
Un contador, cuatro días en 200 facturas.
Un investigador, dos semanas en 50 PDFs.
Todos copiando y pegando.
MinerU lo cambia todo.
Herramienta gratuita y open source que convierte cualquier PDF, Word, Excel o imagen escaneada en Markdown limpio en segundos:
• Texto en orden correcto
• Tablas en HTML
• Ecuaciones en LaTeX
• OCR potente
• 109 idiomas
Un PDF de 200 páginas → Markdown perfecto en 90 segundos.
Funciona en CLI, Python o web (https://t.co/VExoMDvOOD). Corre en tu PC. 100% privado.
Más de 68.000 estrellas en GitHub.
La abogada: contrato listo en 4 min.
El contador: 200 facturas en 12 min.
El investigador: revisión lista en una tarde.
Adiós papeleo manual. Bienvenido tu tiempo.

[Aarno @TheGlobalMinima]

Do yourself a favour

> go to https://t.co/auQJoYhm7b
> find “most cited” list of papers
> read the top 10 papers
> one or two papers per week
> read, read again, break it down, code it and write it back

Some of the most influential and transformative work of the last decade can be found here. It will be an amazing experience!!

[Robin Delta @heyrobinai]

this russian guy just cracked how to learn anything 10x faster using AI

NotebookLM + Gemini + Obsidian

→ NotebookLM: dump all your sources in, get instant summaries + audio overviews
→ Gemini: have it explain concepts + quiz you until they stick
→ Obsidian: connect the dots, build your second brain

perfect for:

exams / certifications
plowing through research papers
learning a new skill (coding, design, languages)
onboarding at a new job
actually retaining books instead of forgetting them in 2 weeks

here's the free 13-min tutorial:

[Tom Dörr @tom_doerr]

Curates high-quality public datasets organized by topic

https://t.co/LFf3qyZLn2

[Isra @israfill]

found a self-hosted proxy giving FREE unlimited access to Claude Opus 4.7, Gemini 3.1 Pro, Grok 4.3, GPT-5.5 and more 😳

no API key needed. no monthly bills. just one local install and you get unlimited usage.

What BlacklistedAPI unlocks:
- Claude Opus 4.7, Sonnet 4.5 - unlimited
- Gemini 3.1 Pro, Flash - unlimited
- Grok 4.3 - unlimited
- GPT-5.5, GPT-5.4 - unlimited
- Thousands of daily requests per model
- One OpenAI-compatible endpoint routes to all models
- Self-hosted = no external dependency, no third-party logging

What this replaces:
- ChatGPT Pro: $200/mo
- Claude Max: $200/mo
- Grok Premium+ API: $50/mo
- Gemini Advanced: $20/mo

all for $0

How to grab yours (5 min):

> 1. git clone https://t.co/2HBJgkwc0B
> 2. cd BlacklistedAIProxy
> 3. Run the installer (python https://t.co/77N0aw4tap or ./install.sh)
> 4. Start the proxy server
> 5. Set your tool's base URL to http://localhost:PORT/v1
> 6. Pick a model like gemini-3.1-pro or claude-opus-4-7
> 7. That's it - no API key needed, unlimited usage

Works in Cursor, Aider, Claude Code, Hermes Agent, OpenCode, OpenClaw, LangChain anything OpenAI-compatible. Just change the base URL to your local proxy.

Important: This is a self-hosted proxy that spoofs API access. Use responsibly for personal projects. May break if providers change auth methods. Requires a machine to run 24/7 if you want always-on access. Not for commercial production use.

Your buddy pays $200/mo for ChatGPT Pro. You get Claude + Gemini + GPT + Grok for $0.

note: use at your own risk as its need to install this code (might be malicious so check before installing or use second device)

bookmark this before the method gets patched

[Ruben Hassid @rubenhassid]

Stop writing 700-word prompts that don't work.

Here's the one-line fix (skills ready to download):

/my-viral-linkedin-post Topic: AI tools I actually use.

That's the whole prompt. Not 700 words. One slash.

It works because everything you used to retype is already inside the Skill - your voice, rules, structure.

You stop typing it. It's already in there.

But you need to set it up first. Here's how:

Step 1. Go to https://t.co/psB7XxAv8w.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open the welcome email (don't skip this).
Step 4. Click the Notion link.
Step 5. Open the "Claude Skills" folder.
Step 6. Download all 15+ Claude Skills.
Step 7. Upload to Claude → Settings → Skills.

Now type the slash command. Done.

✦ Here's why your long prompts don't work:

You cram it all into one message. "Be direct." "No fluff." "Don't use em-dashes." "Match my voice."

By the 3rd sentence, Claude already forgets the 1st sentence. The fix is counterintuitive.
Stop putting the instructions in the prompt.

Put them in a Skill that fires itself.

Here's how to build your first Claude Skill:

1. Open Claude Cowork. Pick Opus + Thinking.
2. Type: "Use skill creator to build a skill for [task]."
3. Answer its questions. Be specific.
4. It writes the SKILL .md for you. Review it.
5. Add: 'Do NOT use for [things it should ignore].'
6. Save the folder.
7. Upload via Settings → Capabilities → Skills.

One /command → reads as you wrote it.
That's the difference between bad, better, and best.

Get my entire Skill library (free): https://t.co/ERwOXQvFwV

♻️ Repost to save one person a 700-word prompt.

[0xMarioNawfal @RoundtableSpace]

AI Hardware by Memory Bandwidth.

Bookmark this list, it will help you before purchasing your next hardware equipment.

- Mac Studio M3 Ultra: up to 512GB @ 819 GB/s
- RTX PRO 6000 Blackwell: 96GB @ 1792 GB/s
- RTX 5090: 32GB @ 1792 GB/s
- RTX 4090: 24GB @ 1008 GB/s
- RX 7900 XTX: 24GB @ 960 GB/s
- Radeon PRO W7900: 48GB @ 864 GB/s
- AMD Radeon AI PRO R9700: 32GB @ 640 GB/s
- Intel Arc Pro B65: 32GB @ ~608 GB/s
- Tenstorrent Wormhole n300: 24GB @ 576 GB/s
- Tenstorrent Blackhole p150: 32GB @ 512 GB/s + 800G
- MacBook Pro M5 Max: 460-614 GB/s
- MacBook Pro M5 Pro: 307 GB/s
- DGX Spark: 128GB @ 273 GB/s (coherent + CUDA)
- Mac mini M4 Pro: 273 GB/s
- Ryzen AI Max / Strix Halo: ~256 GB/s (~96GB usable GPU)
- MacBook Air M5: 153 GB/s
- Snapdragon X2 Elite: 152-228 GB/s
- Intel Lunar Lake: 136 GB/s
- Snapdragon X Elite: 135 GB/s
- Mac mini M4: 120 GB/s
- Arc Pro B60: 24GB @ ~456 GB/s

[Tom Dörr @tom_doerr]

Simple Python library to retrieve TradingView Screener data

https://t.co/C3dJ7yqBRx

[Kanika @KanikaBK]

🚨 THIS REPO IS GETTING DELETED FAST.

I just found 1,500+ premium SaaS tools you can use completely FREE.

And big tech is NOT happy about this leak.

100,000+ people already grabbed it before it disappears:

↳ Free cloud hosting that would cost you $500/month
↳ Free databases worth $200/month: PostgreSQL, Firebase, Supabase
↳ Free email APIs, CDN, DNS, monitoring & analytics
↳ Free CI/CD, security scanning & SSL certificates

100% open source. Zero credit card required.

Companies are PAYING to have this removed.

Download it before the lawyers win.

[Densel @luckyhacker43]

"My Complete Bug Bounty Hunting Workflow Every Command I Use" by Hacker MD 🤯🔥

👨‍💻 Hacker MD (BotGJ16)
🔗 https://t.co/5NTwPUrbR1

🔗 Join team 👉https://t.co/FeMz53HSN0

[Jainam Parmar @aiwithjainam]

10 GITHUB REPOS THAT GIVE YOU A STUDIO-QUALITY AI VOICE FOR FREE

Bookmark every single one. Each one generates natural speech on your own machine, the thing ElevenLabs charges by the character for, running locally for $0.

1. https://t.co/xjtiT0Jnqi

The open model a huge slice of the AI voice world is built on. XTTS-v2 turns text into natural speech in 17 languages and can carry your own recorded voice across all of them from a short sample. Best-in-class for multilingual narration. Note the model license is non-commercial, so it's for personal and research use.

2. https://t.co/teYZIcca5a

Fast, lightweight text-to-speech that runs on almost anything, even a Raspberry Pi, fully offline. The voice engine behind countless accessibility tools and home assistants. When you need clean narration that just works on any hardware, this is the one. MIT.

3. https://t.co/gmtno0grIG

One of the most natural-sounding open voice models out right now, the closest open rival to the paid services on realism. Generates speech so smooth it's hard to tell it apart from a real recording. The frontier of free, local narration.

4. https://t.co/PXW5BSICA4

A tiny, blazing-fast English voice model with preset voices you can ship in real products, since it's openly licensed for commercial use. No cloning, just clean, professional narration that runs almost instantly. The practical workhorse for apps and tools.

5. https://t.co/z8eLeeD9xI

A model that doesn't just speak, it laughs, sighs, hums, and adds the little human sounds flat narration is missing. Great for expressive characters and creative audio. The one you reach for when you want personality, not just words. 35K+ stars.

6. https://t.co/oUNjf3JgSv

Generates speech with fine control over tone, emotion, rhythm, and accent, in multiple languages. Built so creators can craft exactly the delivery they want. The control panel for how your synthetic voice actually performs.

7. https://t.co/lCIHlPRb4p

The other half of the pipeline. It transcribes audio with precise word-level timing, so you can subtitle, edit, and re-voice content cleanly. Pair it with a voice model and you have a full audio production line on your laptop.

8. https://t.co/NYT3uQcqvs

Translate and re-voice a video into 100+ languages automatically, using Whisper to transcribe, a model to translate, and a voice engine to narrate. Localize your whole channel without a studio. The repo creators use to go global overnight.

9. https://t.co/fShdI8whks

Convert one singing or speaking take into a different voice you've trained, the tool the music and dubbing communities live in. Built for creators working on their own material and original characters. One of the most-starred audio repos on GitHub.

10. https://t.co/jLK5yk41vj

The reading list behind all of it. A curated map of the research papers that the modern voice models grew out of, so you understand how the thing actually works instead of just running it. Where the builders in this space start.

This used to need a studio and a sound engineer. Now it needs a GPU.

[Hasan Toor @hasantoxr]

Loop Engineering is the next step after prompt engineering.

Most people still use Claude Code, Codex, Cursor, or Grok like a chat box:

Prompt.
Wait.
Copy.
Fix.
Prompt again.

This repo shows the next step:

You stop prompting the agent.

You design the loop that prompts the agent for you.

Inside:

→ Daily triage loops
→ PR babysitter loops
→ CI sweeper loops
→ Dependency sweeper loops
→ Changelog drafter loops
→ Post-merge cleanup loops
→ Issue triage loops

It also gives you CLIs to:

• Scaffold a loop
• Estimate token cost
• Audit if your repo is ready
• Add memory/state
• Add human handoff
• Add verification gates
• Run agents safely through GitHub Actions

The wild part is the shift in thinking.

Prompt engineering was about writing better instructions.

Loop engineering is about building a system where agents keep working, checking, fixing, and escalating without you babysitting every step.

This is what AI coding looks like when it stops being a chat session and starts becoming an operating system for software teams.

Repo: https://t.co/2USzC6KHUt

[precis0x @precisox]

Un tipo creó un sistema de búsqueda de empleo con IA usando Claude Code, mandó más de 700 candidaturas y consiguió el trabajo.

Y lo mejor: ahora está open source.

Automatiza todo el proceso de principio a fin:
escanea ofertas de empleo, adapta tu CV a cada vacante y hasta rellena los formularios por ti.

El repo incluye:

• 14 modos diferentes (evaluación de ofertas, scraping, PDFs, etc.)
• Dashboard en terminal hecho en Go
• Generación de CVs en PDF optimizados para ATS con Playwright
• Más de 45 empresas ya configuradas (Anthropic, OpenAI, ElevenLabs, Stripe)

REPO en comentarios 👇

[Tom Dörr @tom_doerr]

Backs up photos and videos to Telegram

https://t.co/PkP6hJ6eq6

[trish @TrisH0x2A]

if you want to write an operating system from scratch this is the wiki almost everyone ends up using

the OSDev community has been building it since 2004

it covers everything from the first bootloader instruction to writing filesystems memory managers and drivers

the articles include real code you can compile and run yourself

the Bare Bones tutorial gets you to a kernel that boots and prints to the screen in around 100 lines

from there the wiki walks through every major piece of a real operating system

[Tom Dörr @tom_doerr]

Ultra-simplified explanations of common design patterns

https://t.co/ChxVIc0HB7

[Tom Dörr @tom_doerr]

Runs S3-compatible object storage under 80MB RAM

https://t.co/353XtisYpZ