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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... show more

alex shapalov

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100,193 views • 17 days ago •via X (Twitter)

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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 access

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 access

alex shapalov

98,554 views • 1 month ago

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 it

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 it

leopardracer

63,096 views • 3 months ago

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 below

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 below

yazin

293,378 views • 6 months ago

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?

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?

Markandey Sharma

558,463 views • 1 month ago

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.

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.

Lunar

112,261 views • 9 days ago

🔥 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 👇

🔥 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 👇

Solaris AI

10,075 views • 3 months ago

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.

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.

Kanika

60,519 views • 3 months ago

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 👇

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 👇

Lionel Mora

118,461 views • 2 months ago

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:

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:

Parallax

45,584 views • 8 months ago

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.

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.

Superman

1,105,898 views • 2 months ago

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.

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.

Daniel Ch

82,639 views • 1 month ago

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:

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:

Kevin Raheja

36,481 views • 1 month ago

$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 prove

kiruwaaaa

27,401 views • 5 months ago

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)

Aryan Mahajan

35,449 views • 7 months ago

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.

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.

Lunar

30,147 views • 3 months ago

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?

Kaidu

46,228 views • 3 months ago

Ex-Citibank quant trader built system that turned him $2,217 → $199,881 in one month he's making $7,000–$10,000 every single day on autopilot 18,372 predictions, but no one knows he exists the system runs a complete-set delta model across BTC, ETH, SOL and XRP simultaneously: delta = P(UP) + P(DOWN) - 1.00 when delta 0 and trend confirms - size with Kelly, enter before the crowd adjusts right now he has 9 open positions across 4 assets in the same 5-minute window. running both engines at once. the arb leg covers downside, the directional leg prints on top most traders pick one direction and hope. he removed hope from the equation entirely Profile:

Ricker

14,755 views • 3 months ago

You will NEVER build a real market maker bot. Stop believing highlights. I'll save you what it cost me to learn that the hard way. But you can still be the house at a small scale. Here's how to manufacture liquidity out of nothing: The pro market maker dream is a FIFO war you will NOT win. 24 hour early ladder fights, sub millisecond queue battles, getting left naked-long when the trend reverses. Skip all of it. There's a smaller version of being the house that actually works for a solo dev. Here's the problem it solves: You found a perfect entry, but there's no liquidity. No shares to buy at your price. You can manufacture your own, two ways. First trick - naked sells. You do not need to own a share to sell it. Buying one side is the same as selling the other. If the side you want is empty but the opposite side has depth, just sell the opposite. Second trick - split shares, and this one is stronger. You can split $1 into one up share and one down share at any time. Say you want the up share at 60c, but the book is empty there. When the window opens, you pre-split some shares, and now they're sitting in your wallet. You list down shares for sale at 40c. If they fill, you're left holding the up share you wanted all along. Effective entry, 60c. BTC market is a perfect target for it: < Manufactured from nothing, no liquidity required. You're not predicting anything here. You're creating the position the order book refused to hand you. Leaving my full bot-building guide quoted below, every common mistake covered. Good luck.

You will NEVER build a real market maker bot. Stop believing highlights. I'll save you what it cost me to learn that the hard way. But you can still be the house at a small scale. Here's how to manufacture liquidity out of nothing: The pro market maker dream is a FIFO war you will NOT win. 24 hour early ladder fights, sub millisecond queue battles, getting left naked-long when the trend reverses. Skip all of it. There's a smaller version of being the house that actually works for a solo dev. Here's the problem it solves: You found a perfect entry, but there's no liquidity. No shares to buy at your price. You can manufacture your own, two ways. First trick - naked sells. You do not need to own a share to sell it. Buying one side is the same as selling the other. If the side you want is empty but the opposite side has depth, just sell the opposite. Second trick - split shares, and this one is stronger. You can split $1 into one up share and one down share at any time. Say you want the up share at 60c, but the book is empty there. When the window opens, you pre-split some shares, and now they're sitting in your wallet. You list down shares for sale at 40c. If they fill, you're left holding the up share you wanted all along. Effective entry, 60c. BTC market is a perfect target for it: < Manufactured from nothing, no liquidity required. You're not predicting anything here. You're creating the position the order book refused to hand you. Leaving my full bot-building guide quoted below, every common mistake covered. Good luck.

Punisher

13,448 views • 3 months ago

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Ilir Aliu

53,992 views • 5 months ago

Met my girlfriend's parents for the first time. Her dad asked what I do for work. I said I build trading systems. He said: "Like Wall Street?" I said no. It's open-source. Anyone can see how it works. He laughed. "So you're gambling with open-source code?" I didn't argue. I opened my laptop. One wallet I was tracking made $2.4M in March alone. Another traded $36M in volume. One more turned $35K into $442K. His face changed. "That's not gambling. That's... math?" Exactly. Then I showed him the repos. All public. All free. 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. Google Sheets execution layer. Third one: ML + heuristics. Flagged that $35K → $442K wallet before anyone noticed. Her dad went quiet. Then he asked: "Can my son run this?" Her mom asked for the channel link. Profile: Most people think you need a finance degree or a hedge fund. You don't. You just need to read the code and start.

Lunar

177,660 views • 3 months ago