Bring the product
A team submits a working AI product, not just a deck, ticker or roadmap.
BENCH puts working AI products in front of real users before launch. Teams earn access by proving people can use the product, complete real tasks and create measurable value.
BENCH replaces instant launch with a public validation phase. The product creates evidence first; the market comes later.
A team submits a working AI product, not just a deck, ticker or roadmap.
Real users complete product tasks, find bugs and pressure-test the experience.
Task success, reliability, feedback and repeat usage become a public score.
Products that clear the proof threshold move forward. Weak ones return to building.
BENCH gives working products a place to prove themselves before attention turns into speculation.
The test window is short, visible and centered on real product use — not follower counts.
Build, test, verify, improve — then move forward. Product validation stays visible instead of hiding behind a roadmap.
Follower count does not tell you whether an AI product works. BENCH Score is built from verified testing signals.
BENCH rewards useful participation instead of nothing but speed. Users help products improve while building a visible contribution history.
Run actual workflows inside the product.
Surface reproducible issues that matter.
Submit useful structured product insight.
Repeat usage is stronger evidence than one click.
Attention can bring people to a product. Only usage shows whether they stay, complete the task and return.
BENCH gives AI products a place to earn attention through real usage before the market gets involved.
BENCH is a product-first AI launchpad on Solana. Working products enter public testing, generate verifiable usage data, receive a BENCH Score and can earn launch access.
Users complete real product tasks, report bugs, submit structured feedback and generate measurable product-use signals.
A product score built from testing signals such as successful task completion, output quality, reliability and repeat usage.
No. Projects need to clear the requirements of their test phase. Products that miss the threshold return to iteration.