Hi Fazier π I'm Ganesh.
Every wellness app I've tried optimises for my engagement β streaks, push-nudges, a little guilt when I skip a day. I wanted the opposite. So we built it.
InnerVeda is Vaidya, an AI Ayurvedic companion that learns your body type and actually remembers you β that you sleep badly when you eat late, that you dislike milk, that Yoga Nidra at 10pm works for you. It builds a personalised 90-day plan for one thing you care about (sleep, stress, digestion, or energy) and adapts it every week.
Three deliberate choices:
β’ It remembers β the plan gets more personal over time, not more generic. ("How did it know?" is the moment we optimise for, not screen time.)
β’ No dark patterns β no streaks, no guilt. A 48-hour rule pauses Vaidya when life gets busy; your plan resumes where you left off.
β’ It can't make things up β every protocol is read from the classical texts (Charaka, SuΕruta) and cited; where modern science agrees, we show it.
Start with the free 3-minute body-type quiz β no signup, instant result: π https://innerveda.app/body-type-identification?utm_source=producthunt&utm_medium=referral&utm_campaign=launch_jun2026
Live on iOS, Android & web. Already #1 of the day on Fazier and PeerPush. I'd love your honest take β what did the quiz get right, or wrong? AMA.

I want to share the behind-the-scenes β the two problems we lost the most sleep over. π¬ Making an AI you'd actually trust with your health. "AI + Ayurveda" sets off an obvious alarm: a chatbot confidently inventing remedies. So we built the opposite of a free-text oracle. Your body-type result comes from a deterministic scorer β plain, auditable code, not the model β that a qualified Ayurvedic physician can sign off on. Vaidya is then grounded only on the classical texts (Charaka, SuΕruta) and your own data, and constrained to *apply* documented guidance with sources, never improvise it. When it doesn't have a grounded answer, it says so. Teaching the model to be humble was harder than making it smart. π± Building it to graduate you, not keep you. Most apps are designed so you never put them down. InnerVeda's plan ends β on purpose. The 90-day arc has a real finish line, and a 48-hour rule quietly pauses things the moment life gets busy: no guilt, no streaks to "break." It almost certainly costs us the engagement numbers investors like. But the moment a wellness app optimises for screen time over the person, it's lost the only thing that matters. That's our bet: that calm, honest and personal beats sticky. Two things I'd genuinely love from you: - Take the free quiz β does Vaidya's first reading actually feel like it *gets* you? Tell me where it's right or wrong. - If you build AI products: how do you handle trust and hallucination in a high-stakes domain? I'd love to compare notes. Thank you for being here π
The deterministic, physician-signable body-type scorer is the detail that makes the rest credible: pulling the classification out of the model and into auditable code is exactly how you keep trust in a high-stakes domain. We made a similar call in a different field. For anything that has to be defensible we generate by constrained substitution from vetted source material instead of letting a model free-write, so there is simply nothing to hallucinate. And designing the 90-day plan to actually end, with a 48-hour pause instead of streaks, takes real conviction. Took the quiz and the first reading felt specific rather than generic. Congrats on the launch.

I want to share the behind-the-scenes β the two problems we lost the most sleep over. π¬ Making an AI you'd actually trust with your health. "AI + Ayurveda" sets off an obvious alarm: a chatbot confidently inventing remedies. So we built the opposite of a free-text oracle. Your body-type result comes from a deterministic scorer β plain, auditable code, not the model β that a qualified Ayurvedic physician can sign off on. Vaidya is then grounded only on the classical texts (Charaka, SuΕruta) and your own data, and constrained to *apply* documented guidance with sources, never improvise it. When it doesn't have a grounded answer, it says so. Teaching the model to be humble was harder than making it smart. π± Building it to graduate you, not keep you. Most apps are designed so you never put them down. InnerVeda's plan ends β on purpose. The 90-day arc has a real finish line, and a 48-hour rule quietly pauses things the moment life gets busy: no guilt, no streaks to "break." It almost certainly costs us the engagement numbers investors like. But the moment a wellness app optimises for screen time over the person, it's lost the only thing that matters. That's our bet: that calm, honest and personal beats sticky. Two things I'd genuinely love from you: - Take the free quiz β does Vaidya's first reading actually feel like it *gets* you? Tell me where it's right or wrong. - If you build AI products: how do you handle trust and hallucination in a high-stakes domain? I'd love to compare notes. Thank you for being here π
The deterministic, physician-signable body-type scorer is the detail that makes the rest credible: pulling the classification out of the model and into auditable code is exactly how you keep trust in a high-stakes domain. We made a similar call in a different field. For anything that has to be defensible we generate by constrained substitution from vetted source material instead of letting a model free-write, so there is simply nothing to hallucinate. And designing the 90-day plan to actually end, with a 48-hour pause instead of streaks, takes real conviction. Took the quiz and the first reading felt specific rather than generic. Congrats on the launch.
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