Vinv (Vibe Inverse) vs Wattfare

Tools and Algorithms for AI agents to test, fix and optimise your codebase. Vinv runs your Python services with zero code changes, hands your agent real runtime evidence,...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About Vinv (Vibe Inverse)

Tools and Algorithms for AI agents to test, fix and optimise your codebase. Vinv runs your Python services with zero code changes, hands your agent real runtime evidence, then re-runs the code to verify the fix. 100% local, Apache 2.0. Vinv is not another coding agent, it is the evidence layer under the one you already use. what happens on first run Engines build in a terminal you can watch; a one-time ~500 MB local embedding model downloads.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.