Your page, improving itself.
Built in Sutra, your landing page becomes a continuously adjustable program. It reads real visitor behavior — every scroll, hover, and click — and tunes itself, with no experiments to set up and no traffic threshold to clear.
How it works
Your page is a program, not a static file. Compiled through Sutra, its layout, emphasis, and copy are adjustable parameters — not fixed HTML.
Real behavior is the signal. The page reads how people actually use it — scrolls, hovers, dwell, clicks — and treats that as feedback, far richer than “converted, or didn’t.”
It tunes itself, smoothly. Updates are bounded and batched — nightly, or every few hundred visitors — so every visitor sees one stable page and your brand never thrashes.
Why it’s different
A/B testing needs traffic you don’t have. One clean test takes tens of thousands of visitors; most sites never reach that, so their owners just guess. Yantra learns at the traffic you actually have.
AI builders generate once, then freeze. A page made on day one never learns from a single real visit. Yantra keeps improving after launch.
A continuous design space, not a handful of variants. Instead of routing between a few pages a human wrote, the page moves toward designs no one hand-authored.
Built on Sutra
Yantra runs on Sutra, an interpretable language that compiles programs into differentiable tensor graphs — which is what lets a landing page behave as a single, continuously adjustable program in the first place. Sutra’s compiler is open and on PyPI. sutra.emmaleonhart.com →
Yantra is for solo founders and small teams whose pages are too small to A/B test but still need to convert. If you’ve ever frozen whatever a page builder handed you because you had no way to improve it — this is for you.
Request early access
Yantra is rolling out to early users in waves. Join the waitlist to be in the first — and to put your own page on the learning loop.
Early access to the prototype, rolled out in waves. No spam, no list-selling.
Founded by Emma Leonhart.