Conversational AI Journaling App

Hacker News

Hey HN, I’ve been working on a journaling app that takes a different approach via conversational AI: instead of writing or typing, you speak to an AI that listens and talks back, helping you reflect on your thoughts and feelings in real-time. It’s designed for people who struggle with traditional journaling. A live transcript is available to revisit and annotate later. The web app is free and still early. I have a lot of ideas for features, but instead of building in isolation, I’d rather shape it with real users—figuring out what actually helps rather than just guessing. On the tech side, I tested a bunch of options and landed on DailyBots for orchestration, Deepgram for Speech-to-Text, Cartesia for Text-to-Speech, and OpenAI’s 4o-mini for the LLM—balancing latency, quality, and cost. Try it here: https://innerecho.xyz I’d love to hear your thoughts—what would make something like this truly useful to you?

Visit product View on Hacker NewsMar 22, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, openai, open · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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