AURA Neural - Live biometrics. Adaptive resonance. Built for the browser.

Hey Product Hunt 👋 I built AURA because I needed something that actually pulled my head out of the noise — fast, repeatable, zero motivational theatre. I still run it when I'm scattered or fried: a short session, then I'm back in the room. AURA stands for Adaptive Universal Resonance Architecture. That name became more literal as the system grew. The core idea is simple: human state changes, so software should not always respond as though the user is static. AURA reads context, interprets it, and adapts what happens next. What's actually live today: → Real-time oscillator synthesis via Web Audio API. No prerecorded tone file is required for the generated layer. → rPPG biometric sync — the camera reads pulse, HRV, respiration, and a recovery-oriented wellness score without a wearable. That context informs what AURA suggests. → Sound Engine inside AURA Neural — binaural beats, isochronic tones, Solfeggio frequencies and noise colours generated in real time, with 10-band Spectral EQ calibration in the session flow. → Aura Bridge — the AI guidance layer that explains the session direction before it starts. Trust through explanation, not magic. → Dreamweaver and Vision Architect — reflective modules that connect back into the wider AURA experience rather than living as isolated tools. → Dedicated sessions — Pineal and Harmonics are deeper, selectively shared environments. They are not public launch links. → Aura Sounds — a separate three-channel Mixer for proprietary curated audio plus a live Tone Generator. Both can run together. → B2B portal — HR-managed seat subscriptions and organisation controls. → AURA API — a standalone synthesis and calibration infrastructure layer designed for approved third-party integrations. The proprietary engine remains on AURA infrastructure; the API exposes controlled capabilities, not source code or private sound libraries. What it's not: Not a medical device. No clinical treatment claims. AURA uses a four-tier evidence hierarchy: established, preliminary, plausible, not supported. The goal is to be precise about what is engineered, what is measured, and what can or cannot responsibly be claimed. On the launch: This is the public launch. The platform has been in private testing with six beta users, all arriving through recommendations. There is no revenue yet, and the sample is still too small to claim meaningful retention metrics. What exists is a complete, working software ecosystem with browser-native biometrics, adaptive sound, longitudinal data, B2B infrastructure, multilingual courses and a reusable synthesis/calibration layer. The Lucid free tier gives access to the core experience. No card required. Where I'd like to take it next: First: real use, feedback and learning. I'm interested in people who want to explore AURA deeply, and in conversations with technical or strategic partners who understand what an adaptive architecture can become beyond one interface. I'm also open to the right investment or acquisition conversation if it genuinely reflects the value of what has been built. I don't want fundraising or an exit narrative to become the product story — AURA has to stand on its own first. Longer term, a dedicated AURA sensing layer remains an interesting direction: proprietary hardware around continuous biometrics feeding the same adaptive loop already operating in software. That is a future direction, not a claim that hardware is currently in development. Happy to answer anything below. 🙏