Digital Menus for Food Businesses

Hacker News

Hi community! I built a web application for small restaurants to manage their food menus digitally. It allows managers and owners to edit their menus and share them with customers via QR codes. A few months ago, I waited 10 minutes for a physical menu at a Korean restaurant. This experience seemed unproductive for both customers and businesses. Many local businesses either create their own static pages or lack digital menus altogether. I believed these businesses would benefit from an easy way to put their menus online. I'm happy to hear any thoughts!

Visit product View on Hacker NewsMay 22, 2024

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62%62% 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.

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

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% predicted probability of success on TrustMRR, 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

41%41% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: physical, code · Missing: mac, agents, macos

16%16% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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