Training Data launched on Product Hunt — an AI experience that collects training data through microgames. Players engage with small, game-like tasks, and their interactions become labeled data for training AI models.
## The data-flywheel angle
The expensive input for most AI systems isn’t compute, it’s labeled data — especially human preference and interaction data. Gamifying collection is an old idea (reCAPTCHA quietly trained OCR and image models for years) now being applied deliberately to AI training. Wrap the labeling task in a game loop and people generate data because it’s fun, not because they’re paid per label.
## Why it matters
As public web data gets exhausted and the value shifts to proprietary interaction data, the teams that build engaging data-collection loops own a renewable supply. Training Data is betting microgames are that loop — turning the cold-start data problem into an entertainment product. Whether the data quality holds up against paid annotation is the open question, but the distribution advantage of “fun” is real.

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