I

I monetized a list I used to give to friends

Hacker News

I monetized a list I used to give to friends

Hello! I had this curated list to cover all places in Cairo for 2-5 days trip, covers historic places, activities, and of course the FOOD! After geeting so much good feeback, I decided to put it out for sale, started getting traction, but wanted feedback in general. It's not a full pledged product or anything, but basically a neat list, with custom map, and most importantly non-touristic places that no guide will get you. Request the list for free if your going soon to Cairo!

Visit product View on Hacker NewsMar 27, 2025

Actual performance

1points

1comments

Did not reach leaderboard

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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

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

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · 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 · Missing: mobile apps, ios, personal

37%37% 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

32%32% 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

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

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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