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15 full Grok Bot agent teams on GitHub right now, covering research, coding, marketing, trading and your daily life. People still burn weeks building all of this by hand. 15 repos to pull first: 01 / Agent Org Chart. Pre-built squads for engineering, marketing, sales and support.github.com/serenakeyitan/age… 02 / Grok Factory. One coordinator routes coding, research and other tasks to specialist agents.github.com/jaredtrichard/gro… 03 / multiBot. Spins up specialized teammates that hand off heavy work to coding CLIs.github.com/simo255/multiBot 04 / Grok Bot Second Brain. Five agents covering memory, coordination, research and operations.github.com/mKay00/grok-bot-s… 05 / Foreman. Tracks agent teams, catches stalled tasks and confirms finished work.github.com/Archive228/forema… 06 / grokbot-x. Runs X research, content creation, publishing and writing upgrades.github.com/YannisKiefer/grok… 07 / PhoneZero. Adds a phone pipeline to Grok Bot for placing calls and booking restaurants with approval gates.github.com/function1st/Phone… 08 / BOTROSTER. Self-hosted AI agents with shared storage, browser access and scheduled jobs.github.com/mandarwagh9/botro… 09 / Grok Bot Profiles. Four dedicated roles: Spec Writer, Bug Reproducer, PR Producer and PR Verifier.github.com/HAEGONG/grok-bot-… 10 / HyperGrok Trading Desk. Seven agents across market data, strategy, research, risk and trade execution.github.com/galleonlabs/hyper… 11 / Cryptofeed. Pipes live crypto trades, price feeds and order book updates.github.com/bmoscon/cryptofee… 12 / CCXT. One API tying your trading stack to multiple crypto exchanges.github.com/ccxt/ccxt 13 / Freqtrade. Backtests and deploys trading strategies in dry-run mode with position tracking.github.com/freqtrade/freqtra… 14 / VectorBT. Runs thousands of strategy combos against historical data.github.com/polakowo/vectorbt 15 / QuantStats. Builds reports on returns, drawdowns, volatility and raw trading stats.github.com/ranaroussi/quants… Pick one team and hand it a single job. Wire specialists together through MCP, APIs or scripts. Set clear responsibilities and approval limits for each agent. Stop assembling everything by hand.

Livid I missed a whole video production studio in 10 repos. Adobe Creative Cloud runs $839.88 a year. Every stage below ships as a repo. record. transcribe. cut. clean. generate. voice. 01 Cap → record your screen and share clips with one link github.com/CapSoftware/Cap 02 faster-whisper → transcribe speech to text, up to 4x faster than Whisper github.com/SYSTRAN/faster-wh… 03 auto-editor → cut every silent gap from video in one CLI pass github.com/WyattBlue/auto-ed… 04 lossless-cut → trim and split clips without re-encoding a single frame github.com/mifi/lossless-cut 05 audacity → edit and clean multi-track audio on any desktop github.com/audacity/audacity 06 rembg → strip image backgrounds from CLI, Docker or a Python call github.com/danielgatis/rembg 07 remotion → build videos in React code, agent skills plug in github.com/remotion-dev/remo… 08 ComfyUI → run diffusion models for image and video on your GPU github.com/comfyanonymous/Co… 09 OpenMontage → let your coding agent produce videos end to end, $10 budget cap github.com/calesthio/OpenMon… 10 Kokoro-FastAPI → serve text-to-speech locally through Docker, no per-character fee github.com/remsky/Kokoro-Fas… record → transcribe → cut → clean → generate → voice. Remotion runs on a special license. Some company setups need a paid one. The entire pipeline fits on a single machine.

Repeat editors are one saved preset away from disappearing. Architecture walkthrough. I cut every recording twice, wide for LinkedIn, tall for Reels, until I mapped the Recipe pipeline inside OpusClip 4.0. A Recipe is a locked bundle: one platform, every setting, one click. 1. Layout: pick the ratio and a frame tile. Fill, Split, Three, Four each arrange speakers. 2. Cleanup: dead air, filler, echo, flat lighting, drifting eye contact. Single toggle. 3. Captions: plain on professional feeds. Moving text with AI emojis for short-form. 4. Headline: Brand kit fonts carry across every cut. Viral Hook drops an opener at second zero. 5. Pace: auto zoom punch-ins break a static shot. AI B-roll covers weak lines with footage. 6. Export: publish on schedule, send XML to Premiere or DaVinci, upscale to 4K, or pull HD raw. Lock the preset. One click sends the next take through the whole chain. Two Recipes. Two clicks. One recording in, two platform cuts out. More than 20 million users already run this loop on OpusClip. Two clicks made my reformat pass vanish.

Unreal what two edits cost over a year. One recording. Two feeds. Every single week. My LinkedIn cut took 2 hours. Trim pauses, fix captions, add a title, export at 16:9. Then the vertical pass. 1.5 more hours on the same footage. Reframe, restyle every caption, hunt a 2-second opener, export again. Two months in a freelancer took over the tall versions. $379 a week, four cuts per invoice. 48 posting weeks. 192 vertical cuts. $18,192 invoiced for reformatting finished work. Weeks the freelancer was booked, the wide file went to Reels raw. A thin strip floating mid-screen. Nobody watched. One feature killed the entire second pass. Recipes in OpusClip 4.0. 1. LinkedIn Recipe. 16:9 ratio, speech cleanup, plain captions from Brand kit, Motion Graphics on every spoken number 2. Reels Recipe. 9:16 Fill, animated captions, auto zoom, Viral Hook at second zero Next recording goes in. Two taps. The $18,192 line never prints again. The cost counter flatlines the moment both recipes lock in

Claude Opus 5 just reverse-engineered how to run automated businesses on autopilot... 1 prompt + 4 min = full empire override: autonomous AI agents, automated Etsy print-on-demand pipelines, digital services, and that's just the beginning here's full guide step by step: step 1 ➔ connect your setup to a local network and spawn a manager agent running on Claude Opus 5 to oversee your digital workforce step 2 ➔ paste the prompt below into Claude Code with live tracking feeds of your automated market scrapers step 3 ➔ unlock the hidden worker assignment matrix with your terminal controller – Claude tells you which tasks to allocate to your minion agents step 4 ➔ hit "deploy" on the command center HUD - it's the last time you manually touch the operational dashboard step 5 ➔ say yes to the revenue upgrade: zero manual labor, unlocked profit margins, automated competitor scaling – all fully scalable step 6 ➔ install any custom open-source business logic straight from GitHub – no traditional apps the result: now anything you can think of, your AI agents can monetize... p.s: works for almost any model. Mine in the video is a custom build managing three Etsy stores and automated affiliate pipelines. Try it now, you're welcome. Then read article below on how to automate anything:

Completely cooked, one AI assistant just grew a particle body Reznikov Engineering built Apex. Next.js 15, React 19, three.js. WebGL2 point cloud, custom GLSL vertex and fragment shaders. Orange core pulses every time it answers. Web Speech catches the wake word, ElevenLabs speaks the reply. Hand near the webcam, figure reacts. Skin-tone centroid, no external ML. 18-node agent graph in the frontend. The humanoid was left out of the MIT release. The interface is MIT. The figure inside it is not.

THIS IS COMPLETELY UNHINGED MY GROK BOT KEPT A TRADING TERMINAL RUNNING ALL NIGHT AND GREW $69.67 INTO $13,370 BY MORNING I placed zero trades. I loaded the account and walked away. It scanned setups, handled entries, and closed every position on preset rules 10 GitHub repos to wire an overnight Grok Bot system: 01 / Cryptofeed pulls live trades, prices, and order-book changes from crypto exchanges straight into your scanner 02 / CCXT links your execution layer to exchange balances, market data, and order calls through a single API 03 / Freqtrade operates crypto strategies with backtesting, dry-run mode, position tracking, and a built-in dashboard 04 / VectorBT runs entry and exit combos against historical data and shows the trades and drawdowns underneath 05 / TA-Lib Python computes indicators like RSI, MACD, and moving averages from raw market data 06 / skfolio evaluates portfolio mixes with constraints on weight limits, turnover, and transaction costs 07 / QuantStats converts your return stream into reports on drawdowns, win rate, volatility, and benchmark comparison 08 / DuckDB holds market snapshots and trade records so the morning review can trace what happened 09 / APScheduler sets up Python jobs for data refreshes, balance checks, and the morning summary 10 / Lightweight Charts renders your price feed and trade markers in a live terminal you can watch while the system runs These are building blocks you connect with scripts, APIs, or MCP tools. Hand one service full control of order submission, set spending and loss caps there, and verify a pending order before retrying it Replay a full session in dry-run first. The morning report needs to split closed profit, open positions, fees, and failed orders so the headline number has a ledger behind it

Deranged, a whole voice and meetings team in 10 repos. ElevenLabs Creator charges $22 a month for 121,000 voice credits. Stack Wispr Flow Pro, Otter Pro and Loom Business on top and the bill hits $71.99 a month. record. dictate. meetings. think. publish. voice out. 01 Cap → Record the screen, share a link github.com/CapSoftware/Cap 02 Handy → Type by voice, fully offline github.com/cjpais/Handy 03 meetily → Transcribe and summarize meetings on your machine github.com/Zackriya-Solution… 04 minutes → Let your agent search meeting notes, 34 MCP tools github.com/silverstein/minut… 05 open-notebook → Turn sources into cited notes and podcasts, 20+ providers github.com/lfnovo/open-noteb… 06 SurfSense → Search all your docs with one research agent github.com/MODSetter/SurfSen… 07 docmost → Publish notes as a team wiki, self-hosted github.com/docmost/docmost 08 Kokoro-FastAPI → Serve narration from a Docker API, 35x–100x realtime on GPU github.com/remsky/Kokoro-Fas… 09 KittenTTS → Read text aloud on a laptop CPU github.com/KittenML/KittenTT… 10 elevenlabs skills → Official kit that wires your agent into ElevenLabs github.com/elevenlabs/skills record → dictate → meetings → think → publish → voice out Cap and docmost are AGPL. elevenlabs skills still needs the paid plan. Save this

6 TEAMS OF AI AGENTS ARE RUNNING THIS RECRUITMENT AGENCY i gave a cluster of automated agents access to our internal software tools, and asked it to map out an entire agency workflow from scratch it started setting up departments, assigning tasks, tracking salary reports, and coordinating multi-step pipelines across six different divisions one team led to another. then i looked closer at how the marketing lead and candidate hub were handling live data feeds automatically i started checking the active tasks, running CLIs, updating LinkedIn profiles for social brand, and monitoring task statuses to see how much manual work it was cutting out the whole process felt less like using traditional management software and more like running a headless AI workforce right from my macbook instead of opening 50 tabs and manually coordinating every department, i had an AI brain orchestrating the infrastructure and flagging execution bottlenecks but automated dashboards aren’t enough to run a full business, and raw data doesn’t replace human alignment on custom client requirements the bigger takeaway is how quickly AI can turn a complex corporate structure into an autonomous system, and how much easier it is to miss operational scale when you’re building manually

Claude Code just turned a regular ping-pong table into an AR smart court with real-time stats... found how to track every shot speed, movement, and ball trajectory in real-time, and built it in 5 minutes want to try it? here's the full guide step by step: step 1 → paste the prompt below into Claude Code along with a video of your ping-pong game. If you just want a performance analysis, it works too step 2 → it generates a script to track keypoints via computer vision, mapping skeleton poses, movement distance, and wrist speed without exposing private data step 3 → Claude shows each optimization layer with the old and new metrics, you just say yes step 4 → the rest is on Claude: it tracks rally time, counts shots, logs top speed (km/h), displays a live court map of bounces, and updates stats after every point the result: before and after rally performance in one line, and a setup that turns your games into an interactive HUD: "what was my max shot speed", "recap the last rally", and other... p:s: works with standard video feeds, if your camera setup is different, just tell Claude Code and it'll find another way in Try right now, don't forget me later. Then read the article below showing how to build AI sports trackers for anything:

F*CKING INSANE. Elon's Grok Bot just rigged and animated the hardest 2D character scenes like an elite studio animator, and it took ONE prompt the two sequences took weeks of manual labor and bone-weight fixing my bot took both apart in 14 minutes and found the rigging workflow wide open on 12 character layers RIGHT NOW. ELON YOU HAVE TO SEE THIS a 3-bot animation team running on Grok Bot's own cloud computer in 14 minutes it: → took apart the skeleton setup: one automated vector weighting script linked all mesh deformers, 590 frames aligned in a flash → took apart the expression swap: multi-layered switch groups mapped lip-sync and eye blinks in one execution, zero manual keyframes → checked my own project for broken vector intersections, the bad vertex trick → checked every asset I import: 33 external rig nodes on the layers where I animate. the rig needed one → found 12 character files loading those heavy rigs with no optimization tonight, exactly like the broken templates did no manual mesh painting. no tedious bone placement. no vertex stretching. a single smart prompt was enough and one of those loose bones was on the main character sequence, where my rig sat yesterday. ~590 frames weren't as lucky this is the same Grok Bot that made me $10,000 on polymarket. now it animates it so now it never sleeps it fingerprints every vector node on every character that touches my project and rechecks them every 10 minutes it watches my rig for any new bone offset i didn't make it pings my phone the minute a script changes, before i open that project again if you animate even 1 frame in 2D, you NEED a bot like this. the studio pros already have one you can check how it works on the video how to build yours tonight: → make 3 bots in Grok Bot: Scout, Watchdog, Skeptic → Scout maps every character asset and rig you use. Watchdog rechecks them every 10 minutes. Skeptic reads every vertex change like a senior TD → give Scout the complex skeletal and facial rigging setups as examples, it hunts for the same deformer patterns everywhere → connect your phone so a broken rig script hits you within 10 minutes, not after the render crashes 590 frames + 756 frames in one day. 14 minutes for my bots how long until your timeline is next? the exact prompt is in the replies, the full Grok Bot setup is in the article in my profile

this is getting SCARY. i just watched a guy build an AI terminal that ingests massive financial statements, parses complex tables, and extracts hidden metrics in seconds (analysts spend days doing what this pipeline automates), and i’d bet 99% of people have no idea it’s possible yet it’s the one who processes every page, cross-references every report and pulls every key figure so the analyst never has to, and the good ones are never free you can copy his whole setup in four lines: > make one workspace and call it your financial terminal > drop in your annual reports, balance sheets and SEC filings > open Claude Opus 5 and point it at that data > connect your workspace from there, Claude handles everything every morning at 7:00 it reads the documents, parses income statements, extracts growth margins the way a pro would and sends one clean breakdown with whatever numbers actually matter 1 workspace $\approx$ 3 years of deep analysis zero manual crunching zero missing details zero messy spreadsheets he set it up in minutes. it ran the entire session effortlessly you’re done wasting hours parsing PDFs manually you’re running your own institutional-grade terminal save this. the full breakdown is below

Prompt + Opus 5.5 is DERANGED for full game builds Claude Opus 5.5. $4 per million input tokens, $20 output. 20% under Opus 5. One prompt. A full 3D game scene loads on a monitor. Lava arena. Blocky character. Side menu opens, five crate tiers with odds bars. Pick the rare crate. Loading screen holds. Hex podium drops in with torches and a chest at the center. Chest cracks. White gem floats. Ring of characters circles the platform. Robot rolls out on a green pedestal, orb in hand. UNCOMMON. Crate economy, probability bars, reveal animation, five rarity classes. One prompt. Pro: $20 a month. Max 5x: $100. No prompt published. No engine named. Watch it load ↓