Nandagopan Madhu@0xnandagopan

The project is designed to turn customer conversations into credible, approved testimonials. Operators invite customers to a consent-based voice interview that adapts across three focused topics. Recordings support testimonial drafts, with evidence links that help customers review wording, correct transcripts, and retain context. Customers control their attribution, approve exact text, and optionally select audio clips. Operators then publish approved testimonials separately. Built-in safeguards include interview time limits, reconnection recovery, private audio storage, access controls, automatic expiry, and deletion workflows. Content edits invalidate approval and withdraw published versions, helping teams collect social proof while preserving customer control and recording-backed accuracy.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.