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I had a successful startup exit five years ago (we got very lucky) but recently realized I'm most happy when building software products. I spend the last ~2 months building this as a fun way to get back into software development; and to find out what all the kids are up to these days. I am also a passionate life-long Japanese learner so this project was really fun. It's been nutz how different things are now with all the AI whatnot. This for sure would have taken me a year, without all the AI. I did not spend much time doing market analysis or any of that jazz. Mostly because I was interested in the journey of building the product. Shocker, there's a bunch of other people/companies doing similar things. Of course, mine is already waaaaaaay better! And different in tiny, hard to understand, but essental ways! Ahem. I don't know if it can make much money. I don't care really if it does. I personally have been using it and, of course, love it for my style of learning Japanese. It could be interesting, to spend another month, exploring how AI and the latest tools have changed the marketing and customer aquisition process. Anyways, I'd really appreciate your feedback. On the product, on the idea, on the journey. There's been a few stories here lately about how hard it is to do start ups. Going through the process with this one really brought back some memories, equal parts joyful and painful. Since it only took me two months and I don't really need the money, it's been a lot easier to just enjoy the process without stressing too much. But man, it's easy to get stressed too when you see how many obstacles there seems to be to have even a modest success. It's so hard to stay motivated. I'm pretty sure going forward I just want to make things for the joy of it.

Visit product View on Hacker NewsJan 21, 2025

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

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

62%62% predicted probability of success on Product Hunt, 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: personal, month, way · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% 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

18%18% 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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