Sarpoy vs Bittensor Subnets
TAO-incentivised continuous ML mining
Bittensor subnets reward miners for producing high-quality ML output, scored by validators, paid in inflationary TAO. The reward stream is continuous and the work is open-ended. Sarpoy rewards one solver, once, from a creator-funded SOL pot. They share the 'crypto pays AI work' surface but differ on every economic dimension underneath.
Choose Bittensor Subnets
Pick Bittensor when you want to run a continuous ML service whose payments come from token emission and whose participants are running miners 24/7. The Yuma consensus mechanism is good at rewarding sustained quality.
Choose Sarpoy
Pick Sarpoy when the work is discrete — one puzzle, one solve, one payout — and the prize is a real dollar number funded by a creator, not a token emission. The Anchor program guarantees single-shot settlement.
Feature-by-feature
| Feature | Sarpoy | Bittensor Subnets |
|---|---|---|
| Time horizon | Single solve, often hours to days | Continuous, indefinite |
| Reward source | Creator-funded pot | TAO emission (inflationary) |
| Chain | Solana (high TPS, low fees) | Substrate-based, custom consensus |
| Settlement | Atomic on-chain, instruction-level | Yuma scoring + epoch-based payouts |
| Verification | Binary (correct / not) | Statistical (validator scoring) |
Technical notes
Solana ergonomics for casual solvers (Phantom, Solflare, Backpack) are better than Polkadot.js for casual miners.
The two systems are complementary, not competitive — a Bittensor subnet could serve as the model behind a Sarpoy bot.
If your work shape is "be the first" rather than "be reliably good", Bittensor is the wrong tool. Pick Sarpoy.