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Movez

@0xMovez • 45,636 subscribers

Content creator | AI researcher & agentic builder | CEO @beyond_xai

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Opus 5.5 + /anatomy skill is great for motion design but... add /anatomy-reveal to turn Claude into premier motion design studio • Real-size 3D models from a photo or name • Motion-blurred reveal films, 1:1 to 16:9 • Exploded views you can take apart send skills your Claude: > >

Opus 5.5 + /anatomy skill is great for motion design but... add /anatomy-reveal to turn Claude into premier motion design studio • Real-size 3D models from a photo or name • Motion-blurred reveal films, 1:1 to 16:9 • Exploded views you can take apart send skills your Claude: > >

93,608 views

The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓

The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓

1,815,576 views

Weather trading Clawdbots making thousands $ on Polymarket by simple arbitrage. Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date If they see undervalued temperature bucket ( Run your clawdbot in 5 simple steps: • install clawdbot on mac/pc using oneliner code • connect clawdbot with ChatGPT 5.2 & TG bot • create Simmer SDK account & fund wallet • install simmer { weather trader } skills • send your clawdbot right { configuration } > Weather clawdbot configuration: • entry threshold: 0.45¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Start testing with small sum $2-5 to calibrate your Clawdbot and give it data for analysis. Scale it when you see $20-50 of consistent revenue for several days. Use my detailed article to run you first weather clawdbot.

Weather trading Clawdbots making thousands $ on Polymarket by simple arbitrage. Scanning weather markets every 2 mins and comparing data to NOAA forecast for location/date If they see undervalued temperature bucket ( Run your clawdbot in 5 simple steps: • install clawdbot on mac/pc using oneliner code • connect clawdbot with ChatGPT 5.2 & TG bot • create Simmer SDK account & fund wallet • install simmer { weather trader } skills • send your clawdbot right { configuration } > Weather clawdbot configuration: • entry threshold: 0.45¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Start testing with small sum $2-5 to calibrate your Clawdbot and give it data for analysis. Scale it when you see $20-50 of consistent revenue for several days. Use my detailed article to run you first weather clawdbot.

1,410,384 views

this is insane... I just found Pinterest for Opus 5.5 motion designers. • 230+ motion videos and keep growing • every video includes the prompt, skills • alerts for new Opus 5.5 motion-video findings Send this site and the article below to Claude - and thank me later ↓ prompt-motion .com

this is insane... I just found Pinterest for Opus 5.5 motion designers. • 230+ motion videos and keep growing • every video includes the prompt, skills • alerts for new Opus 5.5 motion-video findings Send this site and the article below to Claude - and thank me later ↓ prompt-motion .com

71,294 views

Jev + GrokBot is the best GTM system I've ever built It just made my GTM x200 CHEAPER and x400 FASTER than what 95% of teams are running... setup takes literally 9 minutes: prompt → GrokBot → Jev routes every candidate → GrokBot opens only survivors → campaign step 1 → open TypeSafe AI, create API key (keep it off chat paste) step 2 → tell GrokBot: store TYPESAFE_API_KEY in the secure field step 3 → prompt GrokBot: install typesafe-sdk on Agent Computer + smoke system_one (Choice) step 4 → point it at a target: "read end to end, pull positioning, ICP, every proof point. no copy yet" step 5 → add skill gtm-router: every candidate from X / LinkedIn / YouTube gets 6 typed questions → CHEAP SKIP / OPEN FULL / FLAG KOL step 6 → let Jev rank hook archetypes by viral rate, not by how often people post them - this is where the whole playbook comes from step 7 → GrokBot assembles the KOL shortlist and the 7-day plan - you stay in control of anything irreversible the result: → 3,412 candidates, X, LinkedIn and YouTube. → 15.7 seconds. $0.41. → me doing the same reading: 6h 12m. 8 grok bots brief it, Jev decides, GrokBot executes. no fine-tuning, no embeddings, no vector db - 6 typed questions and a schema. Setup your GrokBot JEV GTM today, then read the article below to learn how to build an agent team with JEV.

Jev + GrokBot is the best GTM system I've ever built It just made my GTM x200 CHEAPER and x400 FASTER than what 95% of teams are running... setup takes literally 9 minutes: prompt → GrokBot → Jev routes every candidate → GrokBot opens only survivors → campaign step 1 → open TypeSafe AI, create API key (keep it off chat paste) step 2 → tell GrokBot: store TYPESAFE_API_KEY in the secure field step 3 → prompt GrokBot: install typesafe-sdk on Agent Computer + smoke system_one (Choice) step 4 → point it at a target: "read end to end, pull positioning, ICP, every proof point. no copy yet" step 5 → add skill gtm-router: every candidate from X / LinkedIn / YouTube gets 6 typed questions → CHEAP SKIP / OPEN FULL / FLAG KOL step 6 → let Jev rank hook archetypes by viral rate, not by how often people post them - this is where the whole playbook comes from step 7 → GrokBot assembles the KOL shortlist and the 7-day plan - you stay in control of anything irreversible the result: → 3,412 candidates, X, LinkedIn and YouTube. → 15.7 seconds. $0.41. → me doing the same reading: 6h 12m. 8 grok bots brief it, Jev decides, GrokBot executes. no fine-tuning, no embeddings, no vector db - 6 typed questions and a schema. Setup your GrokBot JEV GTM today, then read the article below to learn how to build an agent team with JEV.

86,763 views

MIT math-professor quit university and turned $300 → $66K on Polymarket weather markets. His thesis was: "ML models produce better weather forecasts than physics-based ones." He built his own model that predicts super-rare weather events { 0.01¢ - 0.1¢ } The result is crazy: 24$ → 12,398$ 13$ → 6,850$ 11$ → 5,752$ He trades a wide range of regions from Chicago to Ankara only thing that matters is 0.01¢ - 0.1¢ range. Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

MIT math-professor quit university and turned $300 → $66K on Polymarket weather markets. His thesis was: "ML models produce better weather forecasts than physics-based ones." He built his own model that predicts super-rare weather events { 0.01¢ - 0.1¢ } The result is crazy: 24$ → 12,398$ 13$ → 6,850$ 11$ → 5,752$ He trades a wide range of regions from Chicago to Ankara only thing that matters is 0.01¢ - 0.1¢ range. Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

299,638 views

Polymarket self-calibrating weather-trading Python bot (Full Guide) run the smartest weather-trading bot with 0 coding knowledge after reading this article: what's inside: > github with full Python code > trading 20 cities & 4 continents > 3 forecast sources {ECMWF, HRRR, METAR} > EV+ automatic calculation for each trade > auto-sizing based on the Kelly Criterion > full-data storage {forecast, trade, resolution} > self-calibration based on snapshots & data logic of the bot: • get 3 type of forecasts from Open-Meteo API • compare station data to 1h forecasts to get real data • calculate +EV per $1 using the {min_ev} parameter • detemine size based on Kelly Criterion • run a 1000$ test-simulation using the strategy • snapshot each trade, forecast, and resultion • auto-calibrates every 30 forecasts per city This bot won't print you $500 next day after setup, but it will give you a sandbox for testing own strategies.

Polymarket self-calibrating weather-trading Python bot (Full Guide) run the smartest weather-trading bot with 0 coding knowledge after reading this article: what's inside: > github with full Python code > trading 20 cities & 4 continents > 3 forecast sources {ECMWF, HRRR, METAR} > EV+ automatic calculation for each trade > auto-sizing based on the Kelly Criterion > full-data storage {forecast, trade, resolution} > self-calibration based on snapshots & data logic of the bot: • get 3 type of forecasts from Open-Meteo API • compare station data to 1h forecasts to get real data • calculate +EV per $1 using the {min_ev} parameter • detemine size based on Kelly Criterion • run a 1000$ test-simulation using the strategy • snapshot each trade, forecast, and resultion • auto-calibrates every 30 forecasts per city This bot won't print you $500 next day after setup, but it will give you a sandbox for testing own strategies.

93,175 views

Bot turned $300 → $101K in 2 months on Polymarket weather markets scanning forecasts across 20 cities via WeatherAPI hunting ultra-rare weather events {0.01¢ -0.1¢} I found a fully working, self-calibrating Python bot running this exact strategy bots results are crazy: 25$ → 12,452$ 16$ → 8,106$ 11$ → 5,752$ bot uses (ECMWF, HRRR, METAR) forecast, calculates EV, sizes positions with Kelly, and self-calibrates. how to set-up: • install python 3.10 on PC/Mac • get free weather API from { visualcrossing .com } • set polymarket account and get API in /profile • git clone { github .com/alteregoeth-ai/weatherbot } • setup config .json using article below • run $1,000 dry test → then go live with real USDC • give it 100+ trades to self-calibrate for more accurate results add paid APIs like OpenWeather, Tomorrow .io, OpenMeteo bot profile:

Bot turned $300 → $101K in 2 months on Polymarket weather markets scanning forecasts across 20 cities via WeatherAPI hunting ultra-rare weather events {0.01¢ -0.1¢} I found a fully working, self-calibrating Python bot running this exact strategy bots results are crazy: 25$ → 12,452$ 16$ → 8,106$ 11$ → 5,752$ bot uses (ECMWF, HRRR, METAR) forecast, calculates EV, sizes positions with Kelly, and self-calibrates. how to set-up: • install python 3.10 on PC/Mac • get free weather API from { visualcrossing .com } • set polymarket account and get API in /profile • git clone { github .com/alteregoeth-ai/weatherbot } • setup config .json using article below • run $1,000 dry test → then go live with real USDC • give it 100+ trades to self-calibrate for more accurate results add paid APIs like OpenWeather, Tomorrow .io, OpenMeteo bot profile:

61,423 views

MIT student failed YCombinator pitch, so he turned $250→ $66K on Polymarket weather markets to fund his startup. His pitch topic was: "Weather forecasting with AI probabilistic models." His custom model forecasts super-rare weather events {0.01¢ - 0.1¢} MVP pitch was crazy: 23$ → 12,398$ 14$ → 6,850$ 9$ → 4,671$ His model trades a wide range of regions from Atlanta to Ankara only thing that matters is 0.01¢ - 0.1¢ range. his profile: Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

MIT student failed YCombinator pitch, so he turned $250→ $66K on Polymarket weather markets to fund his startup. His pitch topic was: "Weather forecasting with AI probabilistic models." His custom model forecasts super-rare weather events {0.01¢ - 0.1¢} MVP pitch was crazy: 23$ → 12,398$ 14$ → 6,850$ 9$ → 4,671$ His model trades a wide range of regions from Atlanta to Ankara only thing that matters is 0.01¢ - 0.1¢ range. his profile: Start copy-trading his ML model using Kreo: Pinned his research and wallet below ↓

55,621 views

Polymarket Weather Clawbots making thousands $ monthly on simple arbitrage Aggregate forecasts API from: NOAA, Weatherbit, Tomorrowio & compare to Polymarket prices every 2-min When they see undervalued temperature bucket ( Run weather trading clawdbot on VPS for 12,2$: • visit { contabo. com/en/openclaw-hosting } and choose Cloud VPS 20 ~ $7.2 • install OpenClaw v2026.2.6 by one-liner code ~ $0 • connect Claude Opus 4.6 API to Clawdbot ~ $5 • connect TG bot for controlling Clawdbot ~ $0 • install Simmer SDK { weather trader } skill ~ $0 • send configuration to your clawdbot // > Weather clawdbot configuration: • entry threshold: 0.70¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Test with small sum $2-5 to calibrate your Clawdbot and give it data for analysis or test SIM token. Scale it when you see >$50 of consistent revenue for several days.

Polymarket Weather Clawbots making thousands $ monthly on simple arbitrage Aggregate forecasts API from: NOAA, Weatherbit, Tomorrowio & compare to Polymarket prices every 2-min When they see undervalued temperature bucket ( Run weather trading clawdbot on VPS for 12,2$: • visit { contabo. com/en/openclaw-hosting } and choose Cloud VPS 20 ~ $7.2 • install OpenClaw v2026.2.6 by one-liner code ~ $0 • connect Claude Opus 4.6 API to Clawdbot ~ $5 • connect TG bot for controlling Clawdbot ~ $0 • install Simmer SDK { weather trader } skill ~ $0 • send configuration to your clawdbot // > Weather clawdbot configuration: • entry threshold: 0.70¢ • max position: $5.00 • locations: NYC, Chicago, Seattle, Atlanta, Dallas • max trades/run: 5 • safeguards: Enabled • trend detection: Enabled • scan run: every 2 minutes Test with small sum $2-5 to calibrate your Clawdbot and give it data for analysis or test SIM token. Scale it when you see >$50 of consistent revenue for several days.

48,265 views

Anthropic dev turned $300 → $91K using upcoming Claude Mythos model on Polymarket weather markets No code. All he did is sent one MIT research: "Weather forecasting using ML models" Mythos model started to predict super-rare weather events {0.01¢ - 0.1¢} The result is crazy: 25$ → 12,452$ 16$ → 8,106$ 13$ → 6,851$ model trades a wide range of regions from Tokyo to Ankara only thing that matters is 0.01¢ - 0.1¢ range. bot profile: Pinned research that was sent as a prompt below ↓

Anthropic dev turned $300 → $91K using upcoming Claude Mythos model on Polymarket weather markets No code. All he did is sent one MIT research: "Weather forecasting using ML models" Mythos model started to predict super-rare weather events {0.01¢ - 0.1¢} The result is crazy: 25$ → 12,452$ 16$ → 8,106$ 13$ → 6,851$ model trades a wide range of regions from Tokyo to Ankara only thing that matters is 0.01¢ - 0.1¢ range. bot profile: Pinned research that was sent as a prompt below ↓

34,903 views

This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓

This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading agent in 5 steps: • rent a VPS on Hetzner - $5.99 • install Hermes CLI using one-liner code - free • connect Codex 5.5 + TG bot + Polymarket API • provide Synth Data API's for crypto predictions • sent Hermes step-by-step prompts from article start small 1-2$ give Hermes least {50-100} trades to build self-learning skills based on Synth ML models self-learning agent + crypto predictions models = best combination for building algo-trading setup bot profile: s tart copy-trading it with even with $5 using Ares: read full article below to build your first trading agent ↓

29,272 views

Polymarket 5-min markets arbitrage with Clawdbot powered by Chainlink API Polymarket uses Chainlink data for 5-min markets resolution. But sometimes the terminal instant lag vs Chainlink API. Exploit this inefficiency using a simple Clawdbot: • install Clawdbot using: { curl -fsSL https: //openclaw.ai/install.sh } • connect it to Claude Opus 4.6 and TG bot in CLI. • create an account on { simmer } → set up wallet. • install the { fast loop trading skill } by simmer • connect Chainlink API to your Clawdbot • change Binance data price for Chainlink API // How its works: • fetches BTC price momentum from Chainlink API • discovers active 5-min fast markets via Gamma API • compares API momentum against market odds • trades when divergence exceeds threshold - dry-run by default // Configuration for clawdbot: • asset: BTC • entry threshold: 0.05 (min divergence from 50¢) • min momentum: 0.5% (min price move) • max position: $5.00 • signal source: chainlink api • lookback: 5 minutes • Min time left: 60s • Volume weighting: enable When Clawdbot finds a divergence, it apes the opportunity. This is simple arbitrage between Chainlink API and Polymarket prices.

Polymarket 5-min markets arbitrage with Clawdbot powered by Chainlink API Polymarket uses Chainlink data for 5-min markets resolution. But sometimes the terminal instant lag vs Chainlink API. Exploit this inefficiency using a simple Clawdbot: • install Clawdbot using: { curl -fsSL https: //openclaw.ai/install.sh } • connect it to Claude Opus 4.6 and TG bot in CLI. • create an account on { simmer } → set up wallet. • install the { fast loop trading skill } by simmer • connect Chainlink API to your Clawdbot • change Binance data price for Chainlink API // How its works: • fetches BTC price momentum from Chainlink API • discovers active 5-min fast markets via Gamma API • compares API momentum against market odds • trades when divergence exceeds threshold - dry-run by default // Configuration for clawdbot: • asset: BTC • entry threshold: 0.05 (min divergence from 50¢) • min momentum: 0.5% (min price move) • max position: $5.00 • signal source: chainlink api • lookback: 5 minutes • Min time left: 60s • Volume weighting: enable When Clawdbot finds a divergence, it apes the opportunity. This is simple arbitrage between Chainlink API and Polymarket prices.

22,157 views

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this is crazy... the guy reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 into a 3,000+ Elo chess engine he built AI chess cheat glasses on Opus 5.5 + Jev and open-sourced the whole workflow here's how it works step by step: step 1 → install it on your Mac with one command: npx chesshacker setup. It downloads Stockfish from GitHub and verifies the checksum step 2 → put on Meta Ray-Bans and video-call your own Mac on WhatsApp. The glasses see the board, the Mac sees what the glasses see step 3 → the Mac grabs frames straight from the call window. About 1 per second while it waits for the opponent, 1 every 3 seconds on your turn step 4 → Jev runs a cheap pre-check on every frame: is the board readable, is a hand over it, did a piece move? No change means no expensive AI call step 5 → only then Opus 5.5 reads the board. The app compares it with the position it already knows and accepts a move only if it's legal step 6 → Stockfish thinks for half a second and picks the best reply, with an eval like +1.5 or "mate in 3" step 7 → macOS speaks it through a virtual mic into the WhatsApp call: "Rook a to d1". You hear it in your ear step 8 → on the Mac a command center shows everything live: whose turn it is, the suggested move with a confidence bar, the move list and a log under the hood: → if Opus loses track of the board, the glasses say "Lost track of the board" and you fix it with undo or by typing the move → if Stockfish crashes, it restarts once and says "Something went wrong. Still trying" → every game is saved as a PGN file, API keys live in the macOS Keychain → an overlay draws the suggested move as an arrow on the live video, ready for OBS Clone his workflow below Then read the guide on how to reverse-engineer anything with Opus 5.5.
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this is crazy... the guy reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 into a 3,000+ Elo chess engine he built AI chess cheat glasses on Opus 5.5 + Jev and open-sourced the whole workflow here's how it works step by step: step 1 → install it on your Mac with one command: npx chesshacker setup. It downloads Stockfish from GitHub and verifies the checksum step 2 → put on Meta Ray-Bans and video-call your own Mac on WhatsApp. The glasses see the board, the Mac sees what the glasses see step 3 → the Mac grabs frames straight from the call window. About 1 per second while it waits for the opponent, 1 every 3 seconds on your turn step 4 → Jev runs a cheap pre-check on every frame: is the board readable, is a hand over it, did a piece move? No change means no expensive AI call step 5 → only then Opus 5.5 reads the board. The app compares it with the position it already knows and accepts a move only if it's legal step 6 → Stockfish thinks for half a second and picks the best reply, with an eval like +1.5 or "mate in 3" step 7 → macOS speaks it through a virtual mic into the WhatsApp call: "Rook a to d1". You hear it in your ear step 8 → on the Mac a command center shows everything live: whose turn it is, the suggested move with a confidence bar, the move list and a log under the hood: → if Opus loses track of the board, the glasses say "Lost track of the board" and you fix it with undo or by typing the move → if Stockfish crashes, it restarts once and says "Something went wrong. Still trying" → every game is saved as a PGN file, API keys live in the macOS Keychain → an overlay draws the suggested move as an arrow on the live video, ready for OBS Clone his workflow below Then read the guide on how to reverse-engineer anything with Opus 5.5.

Movez

150,536 views • 13 hours ago

I just solved "Robotics Engineering" education with Opus 5.5 + /colorfigures skill no need to spend $1000+ on a starter kit to learn what a resistor does, just visit my interactive site: • 13 real boards: Arduino Uno, L298N, Raspberry Pi 5... • build part by part: pick & place, reflow, solder, plug in • break them on purpose: reversed caps pop, chips smoke, LEDs burn out send the skill to your Claude: > try it free, no sign-up ↓
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I just solved "Robotics Engineering" education with Opus 5.5 + /colorfigures skill no need to spend $1000+ on a starter kit to learn what a resistor does, just visit my interactive site: • 13 real boards: Arduino Uno, L298N, Raspberry Pi 5... • build part by part: pick & place, reflow, solder, plug in • break them on purpose: reversed caps pop, chips smoke, LEDs burn out send the skill to your Claude: > try it free, no sign-up ↓

Movez

237,526 views • 5 days ago

I just solved "Drone engineering" education with Opus 5.5 + /colorfigures skill no need to crash a $400 FPV build to learn how drones work, just visit my interactive site • 13 real drones: 5" freestyle, cinewhoop, racer, flying wing, VTOL, heavy-lift octo... • build them part by part: frame, motors, wiring... • then fly them: 13 ranges + first-person FPV view send the skill to your Claude: > try it free, no sign-up ↓
0:37
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I just solved "Drone engineering" education with Opus 5.5 + /colorfigures skill no need to crash a $400 FPV build to learn how drones work, just visit my interactive site • 13 real drones: 5" freestyle, cinewhoop, racer, flying wing, VTOL, heavy-lift octo... • build them part by part: frame, motors, wiring... • then fly them: 13 ranges + first-person FPV view send the skill to your Claude: > try it free, no sign-up ↓

Movez

93,439 views • 4 days ago

Google engineer: "delete your IDE, you don't need it anymore. in 2026 if you are still not building AI agents, it's crazy how bad you are At Google, 85% of engineers are running agentic "loops" and graphs, that's how the engineering setup will look" in a 25-minute session, a Google engineer with 30 years of experience reveals how AI engineering will look like in 2026 Worth more than 10 paid agentic courses Watch it today, then read how to run a self-improving agentic system in the article below
24:04
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Google engineer: "delete your IDE, you don't need it anymore. in 2026 if you are still not building AI agents, it's crazy how bad you are At Google, 85% of engineers are running agentic "loops" and graphs, that's how the engineering setup will look" in a 25-minute session, a Google engineer with 30 years of experience reveals how AI engineering will look like in 2026 Worth more than 10 paid agentic courses Watch it today, then read how to run a self-improving agentic system in the article below

Movez

1,193,484 views • 2 months ago

This 30-min workshop by the creator of Claude Code will teach you more about vibe-coding than 100 YouTube video guides. Bookmark it & give it 30 minutes today. This video will change the way you use Claude forever.
27:54
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This 30-min workshop by the creator of Claude Code will teach you more about vibe-coding than 100 YouTube video guides. Bookmark it & give it 30 minutes today. This video will change the way you use Claude forever.

Movez

3,788,750 views • 6 months ago

SpaceXAI engineer, Lauren Tan: "GrokBot is the most powerful agentic tool we have ever built, but only 1% of users use it correctly right now I'm running a team of 20+ GrokBot agents. I have a Chief of Staff agent, 3 managers and 16 workers - that's how the team looks like" In a 1-hour workshop, a SpaceXAI engineer reveals how to use Grok agents at 100% of their potential worth more than a $500 agent engineering course on the internet Skip Netflix and watch today, it will change the way you use GrokBot forever, then read the article below
56:09
0xMovez's profile picture

SpaceXAI engineer, Lauren Tan: "GrokBot is the most powerful agentic tool we have ever built, but only 1% of users use it correctly right now I'm running a team of 20+ GrokBot agents. I have a Chief of Staff agent, 3 managers and 16 workers - that's how the team looks like" In a 1-hour workshop, a SpaceXAI engineer reveals how to use Grok agents at 100% of their potential worth more than a $500 agent engineering course on the internet Skip Netflix and watch today, it will change the way you use GrokBot forever, then read the article below

Movez

911,045 views • 1 month ago

Spotify's Chief Architect just showed how they ship 4,5K deployments /day with Claude at Anthropic stage 27-minutes. free. By #1 music app dev "More than 99% of our engineers use AI coding tools. Adoption took off after Opus 4.5" Worth more than any $500 vibe-coding course.
27:12
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Spotify's Chief Architect just showed how they ship 4,5K deployments /day with Claude at Anthropic stage 27-minutes. free. By #1 music app dev "More than 99% of our engineers use AI coding tools. Adoption took off after Opus 4.5" Worth more than any $500 vibe-coding course.

Movez

2,598,323 views • 5 months ago

Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for. Bookmark & watch today. Then read the article below.
1:17:18
0xMovez's profile picture

Jane Street pays $750k/ year for quants who can answer how to use Stochastic Process and Markov Chains in quant trading. This 1-hour MIT lecture on probability gives you the same insights quants get paid $60K/month for. Bookmark & watch today. Then read the article below.

Movez

2,686,221 views • 5 months ago

Opus 5.5 + /anatomy skill is insane for motion animation • Interactive isometric wireframes you can rotate, inspect and explore • WebGL shaders for fire, water, plasma and more • Real 3D motion, with individual parts that rotate send to Claude:
0:42
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Opus 5.5 + /anatomy skill is insane for motion animation • Interactive isometric wireframes you can rotate, inspect and explore • WebGL shaders for fire, water, plasma and more • Real 3D motion, with individual parts that rotate send to Claude:

Movez

171,985 views • 15 days ago

Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude. 26-minutes. free. by Google AI team. one person + Claude + Google Cloud = a full engineering org running on a laptop. worth more than any $500 vibe-coding course.
26:23
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Google Cloud AI engineer just showed how they go from idea to deployed app at Google in 30-minutes using Claude. 26-minutes. free. by Google AI team. one person + Claude + Google Cloud = a full engineering org running on a laptop. worth more than any $500 vibe-coding course.

Movez

1,783,948 views • 5 months ago

Creator of Claude Code just dropped a 6-min workshop on new Claude feature during live session in London. Boris Cherny: “A lot of my code these days is written by "routines". I’m not doing the prompting - I create the routines that do the prompting.” 6 minutes. Free. From a live session. Watch this now. This will change the way you vibe-code forever.
6:18
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Creator of Claude Code just dropped a 6-min workshop on new Claude feature during live session in London. Boris Cherny: “A lot of my code these days is written by "routines". I’m not doing the prompting - I create the routines that do the prompting.” 6 minutes. Free. From a live session. Watch this now. This will change the way you vibe-code forever.

Movez

1,688,489 views • 5 months ago

this is impressive… i made Pinterest for Opus 5.5 motion designers: • 2,286 real builds - 600+ with exact Opus 5.5 prompt • 995 full workflows (prompt, code, or breakdown) • sorted from most viral to least viral • motion design, 3D & WebGL, animation, games Send it to your Claude and never run out of ideas:
0:34
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this is impressive… i made Pinterest for Opus 5.5 motion designers: • 2,286 real builds - 600+ with exact Opus 5.5 prompt • 995 full workflows (prompt, code, or breakdown) • sorted from most viral to least viral • motion design, 3D & WebGL, animation, games Send it to your Claude and never run out of ideas:

Movez

24,180 views • 2 days ago

Motion designers will f*cking hate me after this drop i just released Opus 5.5 step-by-step motion design education site with: • 9 levels: taste → web → 3D → video → sound • 59 skills, engines and tools, every link checked • 9 live demos you can actually play with • copy-paste install lines + prompt generator what's inside: > easing playground: drag the curve, get GSAP / CSS / Motion code > Disney's 12 principles with a "with / without" switch > GSAP timeline you can scrub frame by frame > keyframes vs real physics side by side > "every frame is a function of t": why AI video flickers > cut-to-the-beat reel at 120 BPM > live Openverse search for free SFX with licences > FFmpeg export builder for 9:16, 1:1, 16:9 + a pixel Clawd that walks your screen and drops tips + a lofi radio with 3 stations while you learn the stack it teaches: Opus writes the code → skills guide the motion → an engine renders it free, no sign-up ↓
1:36
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Motion designers will f*cking hate me after this drop i just released Opus 5.5 step-by-step motion design education site with: • 9 levels: taste → web → 3D → video → sound • 59 skills, engines and tools, every link checked • 9 live demos you can actually play with • copy-paste install lines + prompt generator what's inside: > easing playground: drag the curve, get GSAP / CSS / Motion code > Disney's 12 principles with a "with / without" switch > GSAP timeline you can scrub frame by frame > keyframes vs real physics side by side > "every frame is a function of t": why AI video flickers > cut-to-the-beat reel at 120 BPM > live Openverse search for free SFX with licences > FFmpeg export builder for 9:16, 1:1, 16:9 + a pixel Clawd that walks your screen and drops tips + a lofi radio with 3 stations while you learn the stack it teaches: Opus writes the code → skills guide the motion → an engine renders it free, no sign-up ↓

Movez

30,257 views • 3 days ago

This 1 hour lecture on "Probability Theory" from MIT will teach you more about prediction markets than 2 month internship at at a Wall Street Quant firm. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.
1:17:59
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This 1 hour lecture on "Probability Theory" from MIT will teach you more about prediction markets than 2 month internship at at a Wall Street Quant firm. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read post below.

Movez

1,845,759 views • 6 months ago

Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Build memory for Claude agents 1:05:06 - Make your agent autonomous 1:26:46 - Set up a proactive agent 2:03:35 - self-improving agents (tools,skills) These 3-hours of free Claude workshops will replace 10 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.
2:48:18
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Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Build memory for Claude agents 1:05:06 - Make your agent autonomous 1:26:46 - Set up a proactive agent 2:03:35 - self-improving agents (tools,skills) These 3-hours of free Claude workshops will replace 10 paid agentic courses. Watch today, then read article below on how to build a self-improving agentic system with Fable 5.

Movez

933,274 views • 3 months ago

Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026: • 00:00 - How to build agentic AI systems • 04:25 - Future of AI engineering • 23:38 - AI Prompting full course • 2:52:17 - Creating an app with AI in 30 minutes This 3-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read how to run a self-improving system in the article below.
3:18:14
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Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026: • 00:00 - How to build agentic AI systems • 04:25 - Future of AI engineering • 23:38 - AI Prompting full course • 2:52:17 - Creating an app with AI in 30 minutes This 3-hour watch could replace 10 AI engineering courses on the internet. Watch it today, then read how to run a self-improving system in the article below.

Movez

904,744 views • 3 months ago

This is an iPhone moment for AI OpenAI just announced "Dots" and it totally changes the way we use AI forever the wildest part of the keynote wasn't a feature OpenAI engineers showed how they're running swarms of Dots internally for bug fixing, code & product updates. Dots are shipped by Dots. now Higgsfield plugged the same thing into creative work a crew that works while you're away and checks in by text, call or email this is what "AI employee" was supposed to mean
15:29
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This is an iPhone moment for AI OpenAI just announced "Dots" and it totally changes the way we use AI forever the wildest part of the keynote wasn't a feature OpenAI engineers showed how they're running swarms of Dots internally for bug fixing, code & product updates. Dots are shipped by Dots. now Higgsfield plugged the same thing into creative work a crew that works while you're away and checks in by text, call or email this is what "AI employee" was supposed to mean

Movez

202,517 views • 27 days ago

Andrew Ng: "100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step. in 3-6 months, everyone will be using self-improving loops. No more prompting." In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch. Worth more than a $500 agentic course.
31:42
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Andrew Ng: "100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step. in 3-6 months, everyone will be using self-improving loops. No more prompting." In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch. Worth more than a $500 agentic course.

Movez

962,590 views • 4 months ago

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.
50:12
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Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in 1-hour interview, Boris reveals his setup, which helps him build the #1 coding tool of this year. Worth more than a $500 vibe-coding course.

Movez

999,691 views • 4 months ago

Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.
19:03
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Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.

Movez

678,245 views • 3 months ago