Full project description
Netflix didn’t kill Blockbuster because it had better movies. It killed Blockbuster because it learned you. But even Netflix has a ceiling. It can only recommend what already exists. The algorithm gets you to the edge of the library — and stops. OnlyFeed is what comes next. A streaming service where the content doesn’t exist until you need it. Where every watch, every skip, every pause is a training signal. The algorithm isn’t browsing a catalog — it’s generating content in real time, shaped entirely by your behavior. The longer you use it, the sharper it gets. The sharper it gets, the more irreplaceable it becomes. This is a compounding moat built on taste. The preference model is the product. Content is just the output.
Why it works on Bittensor
OnlyFeed isn’t a startup idea — it’s a subnet mechanic. Miners compete to build the most accurate preference model for each user. Validators score them on real engagement signals — watch time, skip rate, rewatch behavior. The better your model predicts what keeps someone watching, the more TAO you earn. Clean incentive alignment. The network literally gets rewarded for understanding you. No single company owns your taste graph. You do. Video generation is getting cheaper fast. The infrastructure is almost there. The subnet that owns the preference loop first owns the category. And Bittensor is the only network where that competition can be decentralized, permissionless, and rewarded at scale.
