I built a Tamagotchi that teaches French numbers

Hacker News

Hey HN! Halfway through moving to Canada and whilst my conversational French gets me by, I'm absolutely rubbish when someone rattles off phone numbers at full speed (quatre-vingt-dix-neuf anyone?). So I built a virtual pet that thrives on correctly answered number challenges. 20-second drills throughout the day: get them right and Lexie grows, get them wrong and it gets a bit sad (but never dies, this isn't the 90s). Speak, type, or tap your answers. Would love any feedback/bugreports. Or just rant about how the Belgians sensibly say "nonante-neuf" whilst we're stuck with "four-twenties-nineteen".

Visit product View on Hacker NewsJul 29, 2025

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

76%76% 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 · Missing: mac, agents, macos

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

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

53%53% 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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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