WELCOME TO THE TOKEN-EFFICIENCY HACKATHON!
Everyone's building AI. Almost no one's building it lean. Every request an agent makes ships mountains of context to the model — and most of it is noise. You pay for it, you wait for it, and it doesn't make your output any better.
Paritok is the open-source model layer that fixes this, routing only the context that matters to the model. In a real SWE benchmark, that's 74% fewer input tokens per request — measured, not estimated. Real requests, real context, real reduction.
This hackathon challenges you to build a great AI project and make it lean — proving you can cut cost without cutting quality.
What Makes It Special
Paritok is open-source and built for the way people actually build AI today — no rewrites required. For this hackathon, everyone builds on Paritok's hosted GPU server:
- Point your project at Paritok's hosted GPU instead of running a model on your own machine. It's faster than a laptop GPU, and it's completely free for all hackers.
- It comes with a dashboard showing exactly how many tokens and how much cost you've saved — in real time.
- Because every request runs through the hosted server, your token savings are tracked automatically, so proving your results is effortless.
Either way, you get Paritok's open-source token-optimization models, docs, and community support to build projects that don't just demo well — they ship affordably.
And you won't be building alone. Join the Paritok Discord — our team is on hand throughout the hackathon for technical support and integration help, and it's where you'll meet other builders, showcase your work, and shape what Paritok does next.