henri

@GE_encheresOPF ge.ch/evenement/gran…

🔨 CATALOGUE en ligne : instagram.com/ge_poursuites_…

醒醒吧！全网视频都能偷的神器来了👇 🔗cobalt.tools 直接甩链接，YouTube、TikTok、Twitter、Instagram…20+平台全搞定。无水印、无广告、无追踪，开源免费，连账号都不用注册。 内容创作者、剪辑党、刷视频上瘾的，离线存档一步到位。 用了就知道，以前白活了😭

@GE_encheresOPF C'est dommage: sur X, on peut mettre directement le lien de l'enchère concernée, alors que sur Instagram ce n'est pas vraiment possible dans une publication classique.

🔨 J-21 avant notre prochaine vente aux enchères ! ⚠️ Désormais, les informations concernant nos ventes mobilières seront publiées UNIQUEMENT sur Instagram : instagram.com/ge_poursuites_…

Now you can make the so famous "pothole detector" using Ultralytics Platform as backend. All the compute is offloaded, you have just to make a cool UI to have your detector.

Holy sht.. Hackers are going to love this. Someone open sourced an all-in-one hacking toolkit that bundles every major pentesting tool into a Single CLI menu. You install it once and get instant access to tools across every category from anonymity, info gathering, wireless attacks, password cracking, web scanning, exploit frameworks, payload GENERATION, and more. It's called HackingTool. → One menu launches Tor, Anonsurf, Macchanger, and proxy chains in seconds → Bundles Nmap, Dracnmap, RED HAWK, and ReconSpider for full network recon → Ships SQLMap, XSStrike, WPScan, and SecretFinder for web exploitation → Includes John the Ripper, Hashbuster, and BruteX for password attacks 51K stars. Runs on any Linux distro. 100% open source.

Detect small objects using @Ultralytics YOLO26 + SAHI 😍 A perfect combo when speed isn’t the priority, but accuracy is everything, especially when detecting tiny or distant objects in your images. learn how it works 👇 #AI #objectdetection #trafficanalysis

アセコルのコースmodをGoogleMapからくｓｓｓｓっそ簡単に作れるツールが爆誕していてヤバい しかも、Web上で完結していて もっとヤバい Blenderすら いらない #AssettoCorsa youtube.com/watch?v=ERf-qj…

You see hundreds of ads every single day. On your phone. Your laptop. Your smart TV. Your game console. Your kid's tablet. Even your thermostat. Someone built a tiny $5 computer that blocks every single one of them. For every device in your house. Forever. It's called Pi-hole. Not a browser extension. Not an app. A network-wide ad blocker that lives on your WiFi. Every device that connects to your home internet gets ad-free browsing automatically. No setup on each device. No subscription. No tracking. Here's how it works: Every time your phone loads an ad, it asks the internet "where is this ad server?" Pi-hole sits between your phone and the internet. When your phone asks for an ad, Pi-hole says "that server does not exist" and the ad never loads. The ad is dead before it reaches your screen. Here's what Pi-hole blocks: → Ads in mobile apps. Ads inside games. Ads on free apps that usually can't be blocked. → Smart TV ads. Roku ads. Amazon Fire ads. Samsung TV ads. Every TV ad at the DNS level. → Tracking pixels. Facebook tracking. Google Analytics. TikTok pixels. → Telemetry. Windows spying on you. Apple sending data. Your smart fridge phoning home. → Malware domains. Phishing sites. Crypto miners. → Ads and telemetry on Xbox, PlayStation, and Nintendo Switch. Here's the wildest part: A Raspberry Pi Zero costs $5. An old Android phone, you already own. An old laptop in your closet, you already own. Any of them can run Pi-hole. One small device. Plug it in once. Forget about it. Every phone, tablet, laptop, smart TV, and game console on your WiFi gets ad-free browsing. Forever. No monthly fee. No subscription. No tracking. No account. No login. Pi-hole users report their home internet feels faster because ads are never downloaded in the first place. The developers are volunteers. They've been building this for over a decade. It handles hundreds of millions of DNS queries on server-grade hardware. 52,000+ GitHub stars. EUPL-1.2 license. 100% Open Source.

🚨 This is absolute GOLD. The @AnthropicAI engineer who literally wrote "Building Effective Agents" just dropped a 14-minute masterclass. saves you months of headaches trying to figure this out alone. bookmark for the weekend + read @Av1dlive's great guide below 👇

This AI is pretty wild. LingBot-Map can turn a live video stream into a 3D reconstruction in real time. 20 FPS Code + Model 👇

推荐个插件叫 YouTube to NotebookLM，能一键把油管频道所有视频打造成一个知识库。当然也可以单独添加单个视频和合集，太好用了！

A math degree is 1000x time more useful than a computer science degree. My repo got it covered. github.com/valeman/Awesom… #math

@antpalkin Franchement, quand on regarde le profil, il est en perte totale....

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: @coldmath?r=antopotoshka#ido75pp" target="_blank" rel="nofollow noopener">polymarket.com/@coldmath?r=an… 2nd bot: @hondacivic?r=antopotoshka#xW9PjFh" target="_blank" rel="nofollow noopener">polymarket.com/@hondacivic?r=… I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666 The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

@Mikocrypto11 @ColdMath#overview" target="_blank" rel="nofollow noopener">0xinsider.com/polymarket/@Co…

@Mikocrypto11 Your reasoning doesn’t hold up against the numbers. Over 90 days: -$197k, with a high win rate (~78%), but: best day: +$5.6k worst day: -$14.4k average daily: negative (~-$1.3k to -$2.2k) So mathematically: your losses are 2–3× larger than your gains.

Polymarket 上最狠的天气 bot 之一 一笔交易，$25 → $12,400 过去一个月，累计利润已经超过 $41,000 而最反直觉的是： 他只做天气市场 不碰政治，不碰 crypto，不追热点 就盯一个方向 而且策略极其单一： 几乎所有交易都是一样的结构—— 买 NO，价格在 94c–98c，单笔投入 $100 到 $1,200 看起来很“小” 但这正是重点： 用接近确定性的价格，去锁定那最后一点未被定价的空间 不是去赌波动，而是不断收“剩余概率” 一笔可能只有 2%–6%，但可以重复 他的 PnL，就是这样一笔一笔堆出来的 你把他的历史翻一遍会发现： 没有花哨操作，没有大起大落，没有情绪交易 就是同一个动作，重复执行 问题是： 这种 94c–98c 的 NO，你觉得是在赚“高概率”，还是在持续暴露于一次“低概率致命事件”？

@Mikocrypto11 That’s exactly the issue with 94–98c trades: you often win a few percent, but a single loss wipes out dozens of trades. This isn’t “almost certain,” it’s selling extreme tail risk → and it ends in massive drawdown (as your curve shows).

How to make your own algorithmic trading system in Python (a complete roadmap):

GitHub地址： github.com/garrytan/gbrain