Echo Prof – An app for studying that you can talk with

Hacker News

Hey folks! I built Echo Prof (echoprof.com) for mobile (iOS/Android). It's an app for studying that you can talk with. Basically, Echo Prof says a word out loud, and you can answer by speaking (there's language support for many languages). Then Echo Prof keeps track of what questions you should review the most often. I think lots of people would like the app if they knew it existed (evidence is that Anki community is large, Duolingo community is large). I'm looking for help to take the app to next level. I've been coding it for a couple years now, and I think I'm at a point where I can't really take the app much further on my own. Does anyone have any advice for finding a teammate or part-owner? It would be really helpful if I could find someone who could do a bit of marketing and maybe some design work.

Visit product View on Hacker NewsMar 18, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, coding · Missing: mac, agents, macos

74%74% 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 · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, io · Missing: https docs, excited, just released

43%43% 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

30%30% 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

25%25% 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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