WebGenieAI

WebGenieAI is subnet 54 on Bittensor, turning natural language descriptions or interface sketches into runnable front-end code: miners submit generated output, validators score it on whether the code runs, on structure and on visual fidelity, and those weights decide emission allocation.

Inputs cover text prompts, images and hand-drawn sketches, outputs span React, Vue, Next.js and plain HTML with CSS, and results can be deployed to the creator's own site in one step or stored in a template marketplace for reuse. The subnet runs generation, review and selection as a continuous auction, so one prompt yields several implementations, the higher-scoring ones earn more, and model quality iterates through competition; the token side combines dynamic emissions with a burn. Review covers whether dependencies install, whether components are split sensibly and whether interactions are clickable, with the rubric published alongside the task.