Launched today: 📕 Postgres Book, one topic at a... time! No 1000 page manual. Pick a topic, understand how it works, and try the examples yourself. Learn: • Indexes • Transactions • JSONB • Window functions • Row-level security • Vacuum • Locks • Replication $ pgbook read locks Free and open source. No signup required. →show more

Just launched today 🤖🐘 Postgres intelligence for agents &... apps. Free. Open source. Written in Go. Nobody wants to stare at PostgreSQL dashboards all day. So I built a bot that does it for you. → finds what’s wrong → explains what changed → tells you what to fix first Metrics are data. pgbot gives you answers pgbot can: +PostgreSQL health monitoring +Query performance analysis +Slow query and regression detection +Locks and blocking query insights +Table and index analytics +Vacuum and autovacuum visibility +Database growth tracking +AI root-cause analysis +AI-powered recommendations +Direct connection or agent-based private accessshow more

THIS ENGINEER SKIPPED 7,862 WORDS OF AI ROADMAP AND... SHIPPED ON A WEEKEND a Pi Zero 2W, an IMX500 camera and a solar panel, that's the whole stack inference runs on-chip so there's no cloud, no latency and no monthly bill Spotted Dove at 0.95, King Parrot at 0.88, runs forever on sun code is open source and the 3D files are free, you just print the case and buy the parts and it works better than most paid wildlife monitoring services out there full video: code (open source): 3D print files: solar power board: save this so you actually have everything in one place when you decide to build itshow more

You can now classify documents with open-weight VLMs at... ultra-low cost with our TypeSafe AI Jev-compatible API in the VLM Run gateway! $1 buys you 6700+ pages, and the full 1,651-page OmniDocBench run cost 25 cents. It reads the page as pixels (no OCR->LLM hacks) and hands back one typed, calibrated decision per page - ~180ms p50 e2e. Jev really opened developers' eyes to re-thinking how we process data at the cost-pareto front. A week later we're bringing that to our APIs with vision as a first-class citizen. Try our gateway today - free to sign-up and try!show more

Introducing: OpenGranola 🔥 I built an open source meeting... copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link belowshow more

The robot vacuum is getting a major upgrade. Matic... just launched a home robot you can control by pointing and talking. No app. No complicated maps. No endless setup. Just point at a mess and say, “Hey Matic, clean this.” What makes it even more interesting: → 5 cameras instead of LiDAR → NVIDIA-powered on-device AI → Understands objects like cables, socks, pets and spills → Builds a 3D map of your home locally → Works without sending your camera data to the cloud → Supports voice commands in 75 languages This feels less like a smarter vacuum and more like a new interface for home robotics. We spent years teaching humans how to operate machines. Now machines are finally learning how to understand humans. Would you use a robot like this?show more

COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e... Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.show more

🔥 Phoenix is officially live on Solaris AI Flow.... You can now trade Phoenix perps inside a Solaris AI workflow. No code. Drop a node onto the canvas, pick an operation, and wire it to anything: AI signals, price feeds, schedules, alerts. The full order-book DEX from Ellipsis Labs, now programmable. Built so you can trade with confidence: ✦ Paper mode is on by default. Every order is checked and simulated against the live order book, real depth and real slippage, but nothing is signed or broadcast. ✦ Paper behaves exactly like Live. If an order would be rejected on-chain, it is rejected in simulation too. No false fills, no surprises. ✦ Going Live is one switch, and it asks for confirmation before any real funds move. Build it. Test it. Trade it. A full perps strategy, proven on paper before a single dollar moves. 30 operations in one node: ✦ Read live markets, order book depth, candles, and funding rates ✦ Track your positions, collateral, and PnL, realized and unrealized ✦ Place limit, market, and stop-loss orders, plus conditional triggers ✦ Cancel orders, manage margin, and move collateral, all from the workflow No scripts. No backend. No terminal to babysit. Just a workflow that trades. You can try it for free. Demo + Link down below 👇show more

I found this last night and I have not... stopped thinking about it. HERMES JUST LAUNCHED HERMES DESKTOP. 100% FREE. It is a free desktop app that gives Hermes Agent a proper interface. One place for everything. What is inside: ↳ Auto install and setup, no terminal needed ↳ Streaming chat with token tracking ↳ Multiple agent profiles ↳ Memory you can actually see and edit ↳ 14 tool categories including web, browser, image gen, and voice ↳ Scheduler for automated tasks ↳ 16 messaging gateways including Telegram, WhatsApp, Discord, Slack, and Signal ↳ Full conversation history with search ↳ Backups and logs in one settings screen Works with Anthropic, OpenAI, Gemini, Grok, Groq, Ollama, and more. Hermes Agent is the brain. Hermes Desktop is the cockpit. Free. Open source. Mac, Windows, and Linux.show more

We built an interactive 3D module to teach kids... about what temperature does to water. - You adjust the temperature in real time - You see the impact on the state of water and what's changing at a molecular level - You can unlock two secret states in there if you pass a quick quizz This is the first of a giant series. We're turning the open source Marble App curriculum into a full bank of these interactive lessons. One for each topic kids learn in primary school. If you are a parent or primary school teacher, let us know in comments which module you want to see next. Link to play with the water lab below 👇show more

all GPT models and DeepSeek 4.1 are FREE on... ZansLab right now an Indonesian AI gateway just unlocked free access to every GPT model plus DeepSeek 4.1 for vibe coding, no top-up needed, just sign up what you get: > GPT-6 Astra free > GPT-6 Sol free > GPT-6 Luna free > GPT-5.6 Sol free > DeepSeek 4.1 free > and Claude models also available on the platform how to claim (under 2 min): step 1: go to step 2: sign up with email and password no card, no top-up needed step 3: create an API key from the API Keys page step 4: set base URL to works in any OpenAI-compatible client, Cursor, Claude Code, Codex, custom scripts step 5: pick a model and start vibe coding important: > this is a third-party proxy so don't send any sensitive data through it > free access reportedly lasts until next week per the source > these free tiers rarely stick around, grab it while it's upshow more

we sped up distributed inference by up to 5x... with decentralized speculative decoding. many don't realize that AI models normally generate text one single word at a time, waiting for the network after every word. speculative decoding changes this by using a "guess & confirm" system, similar to autocomplete. how it's done: 1. draft locally (the guess) instead of waiting for the network, a tiny, fast model on your device guesses the next few words instantly, without waiting for the network. 2. confirm remotely (the check) the massive remote model doesn't generate from scratch; it just checks the draft. it looks at the guesses in a batch and says "yes, yes, no." you get multiple words in the time it usually takes to get one. 3. adaptive logic dsd is smart. if the topic is creative, it lets the draft flow loose. if the topic is math or code, it checks more strictly. it balances speed and precision automatically so your inference almost feel instant. find out more: paper: blog:show more

China open-sourced a peanut-sized OCR that parses entire 100-page... PDFs in one shot.. It's called Unlimited-OCR. Only 3B params. Runs locally. Every other OCR tool chops your doc into pages and loses the thread. this one reads the whole thing in a single pass. → One-shot "long-horizon" parsing (32K context window) → Multilingual, out of the box → 93% on the standard parsing benchmark (+6 over baseline) → <0.11 error rate past 40 pages → Runs 100% locally on your own hardware → Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50–$15 per 1,000 pages. This runs on your machine. For free. Forever. Baidu built it explicitly to push DeepSeek-OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet. 100% open source.show more

Despite being told no, I'm open-sourcing Chatpack. You can... now deploy production-ready chat to any app with 30+ native chat features in a single command using npx chatpack@latest I wanted to build a simple chat layer where anyone could add 24/7 live messaging to their app without spending weeks rebuilding the same infrastructure from scratch. Connect your existing auth and database, and Chatpack handles everything underneath. So today, we're open-sourcing Chatpack. > 24/7 real-time messaging between your users > typing, presence, read receipts, permissions, and conversation history > works with your existing auth + database, so your users and data stay yours Run it as a CLI or library. Fully open source. Repo is MIT licensed. If I were starting an AI company today, I'd clone this, pick a market, and begin shipping with Claude Code. Truly excited to see what comes out of this.show more

Based on the comments on my last video, I... feel the need to keep telling this history lesson: The “myth” or idea about the growth plate stunting growth comes from a 1950s Chinese study examining why children working in a mine in a remote area of China were shorter than their peers. At the time we didn’t have technology available to examine the cross sectional tissue in a living child so it was inconclusive on the cause being moving heavy loads or malnourishment. In 1999 Dr Avery Faignebaum did a groundbreaking study that used MRI technology to relook at the topic using a resistance training group of youth and a control group and found the training group actually had more bone density than the control group. Hundreds of follow up studies confirm that. Additionally common sense should be applied. Sprinting and jumping off swings actually puts more force on the body than doing a squat, and no one thinks sprinting and jumping effect growth plates. I’ve written a book on this topic as well, Move Like a Pro. If you’ve got a kid check the book out. Additionally, here are Links to scientific papers & position statements supporting the benefits to resistance training for youth (and debunking the stunting growth myth) For academics:show more

Today we're launching a new experiment. Over the next... 30 days, Dave will become one of the internet's most recognizable AI creators. Dave is just a potato. That's the point. We want to demonstrate that something as simple as a potato can become a global media personality with the right AI workflows, creative direction, and distribution strategy. We'll launch one platform at a time, gradually increasing the level of AI automation and sophistication while comparing the results. Day 1: X - simple reactions, almost no AI. Day 2: Instagram. Day 3: TikTok. Day 4: YouTube. Day 5: Threads. Everything is built almost entirely with open-source models in ComfyUI. Follow Dave:show more

$5 into $500,000 on polymarket nobody is talking about... him 17,000 predictions. 100% win rate. one market category: Up/Down. $180 → $8,400 $250 → $8,000 he doesnt pick markets. he doesnt guess directions. he finds the bets with the highest probability of already being correct and just keeps buying them before they close sounds obvious. but you cant do it manually by the time you see the opportunity the window is already closing a bot can. and this one does it 17,000 times. every trade is public: $5 starting capital $500,000 result zero losses across 17,000 trades the math on this profile alone is worth studying for a week open it. look at the entry prices. look at the timing. everything you need to understand the strategy is right there on chain most people will screenshot this and forget the ones who open the profile today will understand something that took this guy 17,000 trades to proveshow more

R.I.P Media planners. This AI agent generated $2B+ with... Ads — and just killed manual creative research forever... → No more doom-scrolling Meta Ad Library for hours → No more watching competitor videos one by one → No more "inspo folders" you never open again → No more creative briefs built from gut feeling Just one prompt → full competitive intelligence in 60 seconds. Here's how it works: → Category Crawler (scrapes competitor ads, Reddit, search trends automatically) → Visual Ad Dissector (breaks down hooks, pacing, copy, angles, offer framing) → Ad Account Connector (compares what the market is doing vs. what YOU'RE doing) → Gap Finder (identifies winning patterns your brand hasn't tested yet) → Brief Generator (outputs production-ready scripts and creative briefs instantly) Results from teams using it: • 20+ hours of manual research → 60 seconds • Competitors’ ads, found from over 150M+ ads. • Production-ready scripts and briefs — no guesswork It also has a free Competitor Intel report: Enter your website and get competitors' ads, best hooks, winning angles, and gap analysis against your own ads. Like + comment "ADS" + repost, and I'll DM you the link. (must be following)show more

I was at a coffee shop working on my... laptop. The barista asked what I was doing. "Building a trading system." She laughed. "You're one of those crypto people." I said no. It's not crypto. It's open-source infrastructure. Anyone can see how it works. She didn't believe me. Most people don't. Copytrade wallet: Then she asked to see it. So I showed her. One wallet on Polymarket made $4.1M in 6 months. Another made $6.12M in a single day on sports. Another traded $36M in volume while I was sipping my coffee. She went quiet. "So people just... build robots to do this?" Exactly. Not robots. Systems. Open-source systems that anyone can download and run. Then I showed her the repos. First one: Every trade ever made. 86M+ trades. Free to download. Snapshot saves 2+ days of research. Second one: Market making bot. Both sides of the book. Gas optimized. Managed through Google Sheets. Third one: ML + heuristics. Flagged that $35K → $442K wallet before anyone noticed. The barista asked: "How do I start?" I said: open GitHub. Read the code. Start small. Most people think they need a PhD or a hedge fund to compete. They don't. They just need to open the terminal and read. She wrote down the repos. Asked if she could email me questions. I said yes. But first she should join the channel. Real alpha lives there.show more

$POLY isn't out yet, and farming it already pays... 3-6% a day. just open two trades on the same match. the whole path is in this post HYPE was worth $4.2b on airdrop day, now it's $86b. people who farmed it early got $13k per wallet on average. Polymarket makes 4x more, and its token hasn't launched yet you can farm it at a profit: take one side of a match on Polymarket and the other at a sportsbook. the first trade goes toward your airdrop volume, the second locks in your profit before the match even starts, thanks to arbitrage here's how: 1 - make an account on Polymarket and 1-2 crypto sportsbooks 2 - open the arb scanner - 3 - set your filters: pre-match, esports (easiest one to start with), venues Polymarket plus the books you signed up for and funded. that's how you make volume for the drop and get paid. 4 - find a trade with 3-6% ROI 5 - open it. when the match ends, collect your profit, move your capital around and open the next trade. make sure you use the trial, it gives you 3 days of free access. in the spreadmap traders chat, in the start here thread, there's a bonus promo for 3 more days of your subscription. when $POLY launches, you'll show up to the airdrop with your volume already farmed and your profit already lootedshow more

Brands pay this guy $3,200 a video for an... influencer who doesn't exist and she clears $47,000 a month while he sleeps. He got tired of watching e-com brands burn $8K on a single shoot day, so he built a node-based system that turns one AI face into 5 monetizable clips a day. No model, no photographer, no studio. Here's the exact breakdown: → He picks the uncopyable feature first: vitiligo. A face the niche has zero supply of and rivals can't clone in a month → Midjourney renders the base, then a trained LoRA in Flux locks that one face so she never drifts post to post → Kling animates her, ElevenLabs gives her a voice, HeyGen syncs the lips, and now she "films herself" every day → TikTok feeds her the trend on its own through the niche tag → Shopify fulfills merch and fitness plans under her face with no agency taking a cut The key move 96% skip: you choose the uncopyable feature before you ever generate the face. Pick a generic pretty blonde and 400 clones bury you in a week. Pick vitiligo, a scar, a gap tooth, something with no supply, and you own the search tag for free. The economics are stupid: each clip costs $0.40 in compute, a brand pays $3,200 to drop a product into it, and it ships in 12 minutes. First night live, her brown mini-dress fitting in a Paris hotel pulled 62K views in 18 hours. By morning the store had 312 orders at $9,360, for a girl who was a prompt 72 hours earlier. The comments fill with "wait, is she real?", and that argument is the fuel the algorithm runs on. No photographer. No model agency. No shoot day. Just one locked face, a trend tag, and the discipline to pick a feature nobody else can render. Half of you are already typing that this is dystopian. The other half just opened Higgsfield. Which one are you?show more