Fudee – Food Reviews for Foodies

Hacker News

WHAT IS FUDEE? Fudee allows you to find, share, and react to reviews for individual dishes from restaurants, cafés, and specialty grocery stores. WHY'D YOU BUILD IT? * I wanted a place to share what one should (and shouldn't) order from restaurants I've been to before. * I got tired of accidentally ordering a dish I had tried before and forgotten that I didn't like. * I got tired of going to highly-rated restaurants and feeling like I'm probably not ordering the right dishes, or needing to read through swaths of high-level reviews to figure out which dishes are worth ordering. * I wanted a place where I could share and discover new foods that was dedicated to food, and not a place that is also used for rating a mechanic, dentist, plumber, etc (ex: Yelp or Google Maps)

Visit product View on Hacker NewsDec 5, 2022

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Actual performance

1points

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Launch Intel predictions

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

70%70% 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.

AppSumoStrong fit for a featured deal · Strong signals: reviews · Missing: plus, platform, intuitive

62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Hacker NewsStrong engagement from HN community · Strong signals: ide · 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: google · Missing: mobile apps, ios, personal

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

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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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