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Compare Cities Within Europe

Hacker News

Compare Cities Within Europe

I created an app to compare countries/cities within Europe. It helps people to find the best places to live and work based on various data sources (cost of living, safety, quality of life, ...). The world has become a lot smaller through the internet /plane travel and this gives people the freedom to live and work wherever they want under the motto: "Go where you're treated best". This app enables that and allows anyone to compare cities like they would compare phones on a webshop. I'm looking for some constructive feedback on the app. So if you have any thoughts/idea's: let me know here or on twitter ( https://x.com/smn_nerd )!

Visit product View on Hacker NewsAug 21, 2024

Actual performance

1points

Did not reach leaderboard

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

83%83% 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.

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

52%52% 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 · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, 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.

Incorrect prediction on native model

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