Instant Search in NYC Restaurant Menus

Hacker News

A few years ago I wrote a crawler to fetch all NYC menus. I wanted to prove that many specific dishes can't be found in NYC restaurants. After more than two years that I had forgotten about the project I decided to clean it up, deal with the css, and put it online. The number of interesting dishes that can be found is actually quite surprising. The backend is written using nodejs without any framework (no db, just a bunch of in memory DS) and vanilla js/html/css for the frontend.

Visit product View on Hacker NewsJul 6, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

26%26% 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

16%16% 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

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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