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How a 24-year-old programmer from Portugal made $18,200 in a month on football betting
He created an AI analyst that finds flaws in bookmakers' live lines in real time and delivers predictions with an 84% win rate.
Costs: $0 (Used free APIs and Windsurf IDE)
He launched a Python script that maps out match videos in real time:
Top layer: A Computer Vision algorithm recognizes the positions of players from both teams (blue and pink dots) and the ball, instantly transferring them onto a 2D pitch layout. This allows the AI to track team formations and open spaces in high detail, things regular bettors completely miss.
Bottom layer: Python code (written alongside the Windsurf AI assistant), where the SoccerPitchConfiguration class defines the field, penalty box, and center circle dimensions down to the centimeter for perfect player-distance calculations.
The AI constantly correlates the real-time movement of players on the pitch with live bookmaker odds. The moment the algorithm detects that a team has pinned their opponent into a specific zone or exposed their flanks, while the bookmaker hasn't adjusted the odds yet, the script automatically fires a betting signal.
First week:
>Live bets placed: 142
> Won bets: 119
> Net profit: +$4,350 using a flat $50 stake
The AI completely automated the entire cycle: Windsurf and Claude wrote the tracking code, and the algorithm autonomously parses live odds, calculates the mathematical expectation of value bets, generates player heatmaps, and spots hidden tactical anomalies. It runs 100% autonomously.
Bookmark it and check out the article below 👇
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On #LifeAndMusic with @PaulMtirara , it’s Intimacy Corner ❤️
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This guy made $100,000 in 9 months on YouTube spending just 14 minutes a day
No face
No voice
No team
The whole video is built for him by AI.
He found a fast-growing format in the machines and engineering niche. Short explainers like «Every Truck Type Explained» and «Every Excavator Type Explained».
Launched a channel called Overscaled.
Uploaded only 7 videos.
And one of them already hit 205,000 views.
The channel got monetized in 8 days after launch.
He makes all the content through a service called TubeGen AI.
The AI writes the script, draws the images, animates the scenes, adds the voiceover and puts the whole video together. Up to 38 scenes in a single clip.
All he does is pick the niche and the format.
Then it's just one click. «Render Video».
The system works. One video = 14 minutes of work.
And you can run as many channels like this in parallel as you want. The income scales the same way.
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