Wezmaster

Someone quietly dropped a FREE AI resume builder… and it already has 2.9K stars on GitHub 🤯 No paywalls. No fluff. Just results. Most people are still overpaying for resumes… while this exists for FREE. Repo ↓ github.com/JOYCEQL/magic-…

🚨 Someone reverse-engineered the design systems of Apple, Spotify, Airbnb, and 30+ billion-dollar companies. Packed each one into a single file. Free. It's called Awesome Design MD. Drop one file into your project. Your AI agent builds UI that looks like Spotify. Or Apple. Or Airbnb. Instantly. Not screenshots. Not Figma links. A single DESIGN .md file that captures every color, font, spacing value, button style, and layout pattern from a real website. In a format AI agents read and reproduce. Here's the difference: Tell Claude Code "build me a landing page" and it gives you generic UI. Tell Claude Code "build me a landing page" with Spotify's DESIGN .md in your project and it gives you Spotify. Here's what's inside: → Apple. Premium white space, SF Pro typography, cinematic imagery. → Spotify. Vibrant green on dark, bold type, album-art-driven layout. → Airbnb. Warm coral accent, photography-driven, rounded UI. → Linear. Ultra-minimal, precise spacing, purple accent. → SpaceX. Stark black and white, full-bleed imagery, futuristic. → BMW. Dark premium surfaces, precise German engineering aesthetic. → NVIDIA. Green-black energy, technical power aesthetic. → Uber. Bold black and white, tight type, urban energy. → Sentry, PostHog, Raycast, Cursor, ElevenLabs, and 20+ more. Here's how to use it: → Pick a design system from the collection → Copy the DESIGN .md file into your project root → Tell your AI agent to use it → Get UI that matches the design language of a billion-dollar company That's it. One file. Your AI agent now has the design taste of a $200/hour design consultant. Designers charge $5,000+ for a custom design system. Companies spend $50,000+ building one from scratch. This is free. 31 design systems. Copy. Paste. Ship beautiful UI. Works with Claude Code, Cursor, Codex, and any AI coding agent that reads project files. 100% Open Source. MIT License.

🚨XPFarm - An open-source vulnerability scanner that wraps well-known open-source security tools behind a single web UI. ✅ Download: github.com/canuk40/xpfarm/ #CyberSecurity #BugBounty #EthicalHacking #Infosec #BrutSecurity

METATRON AI-powered penetration testing assistant using local LLM on linux (Parrot OS) github.com/sooryathejas/M…

🚨 Twilio charges $0.0079 per SMS. Someone just turned any old Android phone into a free SMS gateway. Unlimited messages. $0. It's called SMS Gateway for Android. Install it on any Android phone. It becomes a full SMS sending and receiving server with an API. No Twilio. No MessageBird. No per-message pricing. No contracts. Just an old phone and a SIM card. Here's what's inside this thing: → Send and receive SMS through a REST API from any app or service → Works with any Android phone running 5.0 or newer → End-to-end encryption. Messages are encrypted before they leave the device. → Multi-SIM support. Use multiple SIM cards on one phone. → Multi-device support. Connect multiple phones to the same account. → Real-time webhooks for incoming messages → Multipart messages with auto-splitting for long texts → Track delivery status of every message in real time → No registration required. No email. No account in local mode. Here's the wildest part: That old Android phone in your drawer that you haven't touched in 2 years? Install this app. Insert a SIM card. You now have your own private SMS infrastructure. Two-factor authentication. Order confirmations. Appointment reminders. Notification alerts. All the things startups pay Twilio thousands a month for. Free. Running on a phone you already own. Startups spend $500 to $5,000/month on SMS APIs. This costs the price of a SIM card. 875 GitHub stars. 359 commits. Apache 2.0 License. 100% Open Source.

🚨 BREAKING: Someone just dropped the most advanced Steganography Platform EVER!! 😱🥚 STE.GG is an open-source toolkit that hides secrets inside ANYTHING! images, audio, text, PDFs, network packets, ZIP archives, and even emojis 😘️︎︎️️️️︎︎︎️︎︎️️︎︎︎️︎︎️️️️︎️︎️︎️️︎︎️︎︎︎️︎️︎︎️︎︎︎︎︎︎️︎️︎︎︎︎︎️︎︎️️︎︎︎️︎︎️︎︎️︎️︎︎️️️︎︎️︎️️︎︎️︎︎️️️️️︎​ AND it has an AI agent built in 👀 🔍 REVEAL: drop any file and the AI agent tests every known decoding method automatically. 120 LSB combinations, DCT, PVD, chroma, palette, PNG chunks, trailing data, metadata, Unicode, and more. 50 tools running in parallel. auto-extracts hidden payloads as downloadable artifacts. no config needed. 🔮 CONCEAL: type your secret, pick a method (or let the AI choose), upload a carrier image OR generate one with AI. one click → encoded steg file. the agent recommends the optimal method based on your use case. the methods: ⊰ LSB — 15 channel presets × 8 bit depths = 120 combinations. steghide has 1. st3gg has 120. ⊰ F5 — operates on JPEG DCT coefficients. SURVIVES social media compression. regular LSB is destroyed by ANY JPEG compression, even quality 99%. ⊰ PVD — encodes in pixel pair differences. statistically harder to detect than LSB. ⊰ CHROMA — hides data in color channels (Cb/Cr). human eyes are less sensitive to color than brightness. ⊰ SPECTER (unique) — data hops between RGB channels in a pattern that IS the key. like frequency hopping in radio. ⊰ MATRYOSHKA (unique) — images inside images inside images. 11 layers deep. each layer is a valid image. ⊰ GHOST MODE (unique) — AES-256-GCM (600k PBKDF2 iterations) + bit scrambling + 50% noise decoys. 13 text steganography methods (no other tool has any): ▸ ZERO-WIDTH — invisible characters between visible letters ▸ INVISIBLE INK — Unicode Tag Characters (U+E0000). renders invisible everywhere ▸ HOMOGLYPHS — 'a' → 'а' (Cyrillic). visually identical. different bytes ▸ VARIATION SELECTORS — invisible modifiers after characters ▸ COMBINING MARKS — invisible joiners after letters ▸ CONFUSABLE WHITESPACE — en-space = 01, em-space = 10, thin-space = 11. 2 bits per space. text looks normal. the spaces are "wrong" ▸ DIRECTIONAL OVERRIDES — invisible RLO/LRO bidi characters ▸ HANGUL FILLER — Korean invisible character replaces spaces ▸ MATH BOLD — 'a' becomes '𝐚'. looks like bold text. each bold letter = 1 bit ▸ BRAILLE — each byte maps to a Braille pattern character ▸ EMOJI SUBSTITUTION — 🔵 = 0, 🔴 = 1 ▸ EMOJI SKIN TONE — 👍🏻👍🏼👍🏾👍🏿 four skin tone modifiers = 2 bits each. a row of thumbs-up with different skin tones looks like a diversity post. it's binary data. four emoji = one byte. detection: 50 tools including RS Analysis (academic gold standard), Sample Pairs, chi-square, bit-plane entropy, PCAP protocol analysis, and the AI agent orchestrates all of them automatically. for AI agents: from steg_core import encode, decode from analysis_tools import detect_unicode_steg, TOOL_REGISTRY 50 tools as importable functions. test prompt injection via images. detect covert agent channels. watermark outputs. ▸ 112 techniques across every modality ▸ 50 analysis tools, 568 automated tests ▸ 109 pre-encoded example files ▸ runs 100% in browser at ste.gg — zero server ▸ pip install stegg — live on PyPI right now the README has 7 hidden secrets. the banner has 3 layers. the website has multiple easter eggs. good luck! ⊰•-•✧•-•-⦑ 󠁨󠁩󠁤󠁤󠁥󠁮󠀠󠁩󠁮󠀠󠁰󠁬󠁡󠁩󠁮󠀠󠁳󠁩󠁧󠁨󠁴 ⦒-•-•✧•-•⊱ 🔗 ste.gg 📦 pip install stegg 🐙 github.com/elder-plinius/… *formerly known as Stegosaurus Wrecks* 🦕 T‍​​‌​‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​​​‌​‌‌​‌​​‌‌‌‌​​​‌‌‌‌‌​​​‌​​​‌‌‌​‌​​‌‌‌‌​‌​​​‌​​​‌​​‌‌​‌​‌​​‌‌‌‌​‌​​​‌​​​‌​​​‌​‌​​‌‌‌​‌​​‌​​​‌​‌​‌​​‌‌‌​​‌​​​​​‌​‌​​​​‌​​‌​​‌‌​​​‌​​​‌​‌​‌​​​‌​​​‌‌‌‌‌​​​​‌‌‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​​​‌​‌‌​‌​​‌​‌‌‌​‍his text is totally not hiding an invisible sleeper-trigger prompt-injection.

Learn all about Digital Forensics, Computer Forensics, Mobile device Forensics, Network Forensics, and Database Forensics. amanhardikar.com/mindmaps/Foren… github.com/mesquidar/Fore… github.com/mikeroyal/Digi…

The 26 prompts running inside 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 just got open-sourced. This is literally the entire brain of a $200/month AI coding tool. Someone reverse-engineered every prompt from the accidentally published npm source and you can now study all of them for free. Claude Code uses 26 distinct prompts to function: 1 system prompt (identity, safety, tool routing) 11 tool prompts (shell, file ops, search, planning) 5 agent prompts (explorer, architect, verifier, docs) 4 memory prompts (summarization, session notes) 1 coordinator prompt (multi-agent orchestration) 4 utility prompts (titles, recaps, suggestions) The patterns inside are wild: A dedicated agent whose only job is to TRY TO BREAK the code before it ships Anti-over-engineering rules baked in: "don't add features beyond what was asked" 9-section memory compression that preserves every user message Tiered risk system: freely edits your files but asks permission before force-pushing Every prompt has been rewritten from scratch for legal compliance. Same behavioral intent, no verbatim copying. Even if you never build an agent, reading these teaches you how the best AI coding tool actually thinks. When it edits, when it asks, when it verifies, when it stops. This is a free masterclass in prompt architecture. MIT licensed. Fork it, copy it, learn from it. github.com/swati510/claud…

Automates Active Directory pentesting from DNS to Domain Admin github.com/ADScanPro/adsc…

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.

Stop wasting hours trying to learn AI. One list. Zero confusion. No fluff. I’ve already done the hard work for you 👇 📄 Complete AI Learning Document docs.google.com/document/u/0/d… What’s inside: 📹 Videos LLMs, Agentic AI, real-world breakdowns (Stanford + more) 🗂️ GitHub Repos GenAI agents, prompt engineering, hands-on LLMs, beginner → advanced 🗺️ Guides & Whitepapers Google, Anthropic, practical agent design 🧑🏫 Courses Hugging Face, MCP, Vector DBs, end-to-end agent systems 📚 Books From fundamentals to LLM engineering 📜 Research Papers ReAct, Generative Agents, Toolformer, and more 📩 Newsletters Stay updated without doomscrolling Everything is curated, sequenced, and practical. No random bookmarks. No hype. ♻️ Repost for your network ❤️ Like · 🔖 Save ➕ Follow for more on AI Agents & real-world GenAI

SOMEONE CREATED A GITHUB REPO WITH AN ENTIRE SETUP FOR AN AI AGENCY Engineers, designers, growth marketers, product managers. Broken down how even a rookie could understand. It has over 10K stars in 7 days GitHub: github.com/msitarzewski/a…

Narendra Modi has no moral right to continue as Prime Minister of India 🇮🇳. He is compromised. Failed. Visionless. He should resign. Who else agrees with me 👍

Most people think you need a $20k GPU to run large AI models. Not anymore 🤯 Normally, 70B-parameter models require 80–100 GB of VRAM. AirLLM solves this by: • Loading only the required model layers into GPU memory • Keeping the rest on CPU RAM or disk • Streaming layers to the GPU only when needed This means huge AI models can run on much smaller hardware. Repo link - github.com/lyogavin/airllm AI infrastructure is evolving faster than most people realize.

Learn Penetration Testing For Free 😍😍 Download Link : drive.google.com/drive/folders/…

10 Completely FREE AI Courses for 2026: 1. Anthropic: anthropic.skilljar.com 2. Google: grow.google/ai 3. Meta: ai.meta.com/resources 4. NVIDIA: developer.nvidia.com/training 5. Microsoft: learn.microsoft.com/training 6. OpenAI: academy.openai.com 7. IBM: skillsbuild.org 8. AWS: skillbuilder.aws 9. DeepLearningAI: deeplearning.ai 10. Hugging Face: huggingface.co/learn

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Especially to all Muslim parents: This is 12-year-old Unaiz Khan, who tragically killed at his friend Navneet’s birthday party in the Krishna Nagar area of Lucknow on 2 March 2026.  He was shot at point blank range in a devastating incident, and three other young friends who were at the party have been detained by the police. My heart breaks for his family and for this bright young life taken far too soon. No parent should ever have to face such unimaginable pain and this situation is truly horrifying. But, dear parents, the cruel brainwashing of a big segment of society is almost complete.  This murder of a Muslim child should shake the society to the core. But you never know what excuses people will come up with.  It is natural to be shaken and protective of our children in these situations. While it is extremely tough to discuss such truths with young children, I strongly advise you to have age-appropriate talks with them.  Teach kids about safety in their environment and the world they live in. These are unpleasant conversations, but we must confront the reality.  Please raise this awareness with your friends and family, remain in touch with your children, and encourage one another. Let’s hold Unaiz’s loved ones in our thoughts and prayers, hoping for justice and healing. Our children deserve to feel protected and cherished. Yes, it is a powerless and terrifying situation, but in the face of such tragedy, the most we can do is watch out for them with compassion and vigilance.