Phrase Tutor – learn Italian via roulette wheel flashcard selection

Hacker News

Hey people, this is a side-project of mine called Phrase Tutor (https://phrasetutor.com). I whipped it up to help me learn Italian using a method I used way back in high school to faster retain historical facts. It has a pool of 100ish phrases and after you go through them all at least once, it will start prioritising phrases that you had trouble with. This way you are focusing on the toughest phrases more. This is kinda like roulette wheel selection used often with genetic algorithms. I wanted to blend in when I was in Italy and not speak English all the time. I only had a week, and of course, I built an app to help with that. It was awesome saying "Mi scusi" all the time and at some point, they helped us to find our way when our phones died! It's built using a full-stack framework I'm also developing called Wasp (http://wasp-lang.dev) and I rebuilt it from Supabase to Wasp when I joined the company.

Visit product View on Hacker NewsMar 16, 2023

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

52%52% predicted probability of success on TrustMRR, 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: using · Missing: mac, agents, macos

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% 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

39%39% 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

35%35% 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

15%15% 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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