I made a web app that tells you if your food is spicy

Hacker News

Hi HN ! I made a web app to check if an item on the menu is potentially spicy ? Problem: I recently arrived in Korea, and I quickly realized that if my girlfriend is not with me, I don't know what would try to kill my tastebuds. I could ask, but I'm shy and my broken korean wouldn't help much. And trying to find an answer online is time consuming, navigating between 10 paragraphs blogs. Solution: So i made this simple gpt wrapper that takes in a dish name in any language, and gives you a clear answer right away. Keep in mind that this is my first app and an mvp, to validate the idea. But I'm welcoming any feedback, especially if it can improve my next projects. Thanks for your time guys :)

Visit product View on Hacker NewsOct 31, 2023

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

71%71% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way, para · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, 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

25%25% 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 · Strong signals: arr · Missing: mrr, revenue, profit

14%14% 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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