Alternatives
Products that do what Hyper – A stupidly non-corporate voice AI app for IRL conversations does
Hey HN, we're building Hyper: an iOS voice recorder for the conversations that matter too much to pause and take notes. 1:1s with your cofounder, coffee chats, standups, whiteboard sessions. One tap to record, and when you're done you get a summary, full transcript, and tappable action items (calendar events, reminders, email drafts) — no notes needed. We built this because at our last company (a robotics startup), the most consequential decisions happened spontaneously — in hallways, over lunch, on walks. None of it got captured. Every recorder we tried was built for scheduled Zoom calls…
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Hey HN! Alexis here, I’m a product manager and software developer in Berlin by way of New York. I want to show you this app I made – It’s like a "buddy" for those, like myself, who inadvertedly talk too much in meetings. The app gives me feedback and a little more in control of what I have influence over by: * Keeping track of how long I’ve been speaking * Catching myself before I talk too much * Developing a better sense of timing I truly love having conversations with people in real-life. But online meetings, especially group calls, tend to make me nervous. I can't read body language. The…
2022 · unblah.me
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Turn your AI agents from interns to veterans
May 2026 · heyhyper.ai
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I have tried journaling many times but nothing stuck. So I decided to make my own app for myself with these features: * Voice first * Private first * AI chat * Automatic tagging, meaning extraction, and semantic retrieval using embeddings stored locally * Export to LLM the AI angle is especially interesting for me. It allows me to ask questions like: * "remind me highlights and crazy nights in the last 3 months" * "How was I feeling during my trip in Spain and how big of a problem was my breakup" * "How would you judge my overall interactions with Marc after I told him about my problems" the…
Jul 2026 · echologue.com
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Hi HN -- voice chat with AI is very popular these days, especially with YC startups (https://twitter.com/k7agar/status/1769078697661804795). The current approaches all do a cascaded approach, with audio -> transcription -> language model -> text synthesis. This approach is easy to get started with, but requires lots of complexity and has a few glaring limitations. Most notably, transcription is slow, is lossy and any error propagates to the rest of the system, cannot capture emotional affect, is often not robust to code-switching/accents, and more. Instead, what…
2024 · demo.tincans.ai
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