Synesthesia

Found a UI library that made me mass mass mass mass mass angry. Angry that this isn't how everything works. Oat: → 6KB CSS + 2.2KB JS → Zero dependencies → No framework required → No build step → Semantic HTML only You write . It looks good. You write

. It looks good. You write . It looks good. No className="px-4 py-2 rounded-md bg-blue-500" No

Just HTML. Accessible. Keyboard navigable. Dark mode included. Built by Kailash Nadh (CTO @ Zerodha)

List of voice-cloning and music-generation models github.com/0xSojalSec/fre…

🚨BREAKING: Someone open sourced a tech icon library that makes every other SVG pack look broken. It's called Developer Icons. And it's not just another logo collection. It's a fully-typed React component library with customizable, perfectly scalable SVGs for every major framework, language, and tool you actually use. Here's what makes it different: → Every icon ships as a typed React component (HtmlIcon, JavascriptIcon, ReactIcon, etc.) → Customize size, color, stroke width, and style with standard SVG props → Optimized with SVGO so file sizes stay microscopic without losing quality → Light mode, dark mode, and wordmark variants built in for every brand → Consistent design rules across the entire set (no more mismatched stroke widths) → Works in React, Next.js, Astro, or download raw SVGs for Figma → Install with one command: `npm i developer-icons` → Zero config. Import the icon, drop it in your JSX, done. Here's the wild part: Most devs waste 20 minutes hunting for a clean Postgres logo, then another 10 resizing it so it doesn't look blurry next to the Tailwind one. Developer Icons pre-solves that entire problem. Every icon follows the same design system, same optimization pipeline, same component API. Drop in 15 tech logos on your portfolio -- they all look like they belong together. import { HtmlIcon, JavascriptIcon } from "developer-icons"; That's it. Fully typed. Fully scalable. MIT licensed. Built with Astro, React, TypeScript, Tailwind, and Vite. 17 contributors. 40 releases shipped. 100% Open Source. (Link in the comments)

🚨 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 built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free.

Meet the audio whisperer: a model that can detect exactly when someone starts and stops speaking in any audio file. It's like giving your computer perfect ears for human speech. This is a game-changer for audio analysis.

🚨 Stop using random websites to download videos. Use this instead. ReClip is a clean web UI built on yt-dlp and ffmpeg that downloads from 1000+ platforms as MP4 or MP3, runs entirely on your own server, and starts with a single shell script or one Docker command at localhost:8899. Bulk paste mode accepts any number of URLs at once, automatically strips duplicates, shows thumbnails and quality options before anything downloads, and lets you grab everything with one click. → 150 lines of Flask on the backend and a single vanilla HTML file on the frontend → Works with YouTube, TikTok, Instagram, Twitter, Reddit, Vimeo, SoundCloud, Pinterest, and more → Quality picker shows all available resolutions before you commit to the download MIT License. 100% Opensource. Link in comments.

The world is not prepared for simultaneous ontological shock. I am all for transparency but I am also a realist and understand not everyone is gonna have the emotional toolbox to cope.

n8n AI SEO agent with Gemini github.com/AgriciDaniel/K…

🚨BREAKING: A developer just open-sourced a tool that turns any text prompt or image into a fully navigable 3D world in seconds. It's called WorldGen. You type a scene description, and within seconds you're walking through it in a browser 360° free movement, consistent geometry in every direction, real-time rendering at any camera angle you want. The technical approach is genuinely clever. Instead of trying to generate 3D geometry directly from text, WorldGen first creates a 360° panorama using FLUX.1, then lifts that panorama into a 3D Gaussian splatting representation using UniK3D. The result is a spatially consistent world you can actually explore, not just a static image with fake depth. What makes it actually usable: → Two lines of Python to generate any scene from a prompt → Image-to-scene mode turns any photo into a walkable 3D environment → Mesh generation mode for better geometry than splat output → Low VRAM mode for GPUs with less than 24GB → Background inpainting fills invisible regions as you explore → Saves output as .ply files for any standard 3D viewer 1.6k stars. Growing fast. 100% Open Source. Apache 2.0 License.

You can brainwash yourself with your own voice. Done correctly, it’s more potent than hypnosis, meditation, and affirmations combined. This is how you do it: - Write down the traits, self-image, and identity you desire - Use present tense: speak as it exists - Be sensory and descriptive: make the mind feel it - Use emotional words - Avoid negations (don't, never, not) - Frame everything as absolute truth -Layer in NLP techniques (double binds etc) -Use hypnotic words (imagine, notice, feel, become) -Speak in your own language (specificity matters) -Embed a post-hypnotic trigger word - Record the script into Audacity - Add the subliminal plug in - Add theta waves - Listen as you wake up - Listen as you fall asleep

We may never know who introduced Takuya Nakamura to UK Jungle music, after moving from Tokyo to Boston to study Jazz theory - but I, for one, am very grateful.

🚨 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.

I’m in love with this sentence: “Your future is shaped by the habits you repeat, not the goals you set.”

Blows my mind that we currently possess the technology for Google Maps to turn all the street view images of the entire world into a video game you can play! In the future, we'll be able to say "yeah let's check out New York City 100 years ago!"

If you were ever on the fence, "S4: The Bob Lazar Story" will push you over. April 3rd. See you on the other side.

🚨 IMPORTANT: Google quietly open sourced a time-series AI that predicts anything. Sales trends. Market prices. User traffic. Energy demand. Crypto volatility. It's called TimesFM. Here's why it's underrated: → Pre-trained on 100B real-world data points → Zero-shot forecasting, no fine-tuning needed → Outperforms supervised models trained on your specific data → Runs locally. Free. Apache license. Most people are focused on language models. The quietly powerful ones are learning to predict the future.

you can now literally ctrl+f your video footage.. 🤯 sentrysearch is an open-source tool that lets you type whatever you're looking for in a video like "red truck running a stop sign" and it instantly cuts and exports the exact clip from hours of raw mp4 files. 100% open source. fully offline.

🚨 Screen Studio charges $89 for this. Someone open sourced the entire thing for free. It's called OpenScreen. 8,400+ GitHub stars. You record your screen. It automatically transforms it into a polished, professional demo video. Auto-zoom into clicks. Smooth cursor animations. Motion blur. Custom backgrounds with wallpapers, gradients, and shadows. Webcam overlays. Annotations. Timeline editing. Export in any aspect ratio. The exact workflow that Screen Studio sells for $89 and Loom sells as a subscription. Free. No watermarks. No accounts. No subscriptions. Here's what you get out of the box: → Full screen or window capture with system audio and mic → Automatic zoom that follows your cursor and clicks → Manual zoom with customizable depth and timing → Smooth motion blur on pan and zoom transitions → Animated cursor rendering with motion effects → Webcam bubble overlay with drag-and-drop positioning → Wallpapers, solid colors, gradients, or custom backgrounds → Text and arrow annotations layered over recordings → Timeline trimming and variable speed segments → Crop, resize, and export in any resolution or aspect ratio → Save and reopen projects anytime Here's the wildest part: A developer forked it and built an even more advanced version called Recordly. Full cursor animation pipeline. Native macOS and Windows recording. Zoom behavior that mirrors Screen Studio frame-for-frame. Audio tracks. Webcam overlays with zoom-reactive scaling. Both are free. Both are MIT licensed. Both work on Windows, macOS, and Linux. Download. Record. Export. Done. 100% Open Source. MIT License. (Link in the comments)

Someone on GitHub uploaded EVERY CS course from MIT, Stanford, Harvard 😭😭 I'm about to Cancel all my Paid Courses now 😭🙂