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Echosnap AI – A simple voice-first notes app

Hacker News

Echosnap AI – A simple voice-first notes app

Hi everyone, I’m a solo developer and I’ve been working on a small tool called Echosnap AI. I built it because I often get ideas while I’m walking or doing something else, and speaking always felt like the fastest way to capture them. Echosnap lets you record a note and instantly get a clean transcript. It can also translate your recordings and help you stay organized with tags and folders. I tried to keep the app as simple and minimal as possible. This is my first time sharing something on HN, so any feedback or suggestions would mean a lot. Thanks for taking a moment to check it out.

Visit productView on Hacker NewsNov 25, 2025
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2points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: recordings, notes · Missing: mac, agents, macos
85%85% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% 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
19%19% 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.

Correct prediction on native model

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