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Compare All Cities in Europe

Hacker News

Compare All Cities in Europe

I created an app to compare countries/cities within Europe. It helps people to find the best places to live, work and invest based on various data sources (quality of life, cost of living, safety, tax burden, government efficiency, ...). The world has become a lot smaller through the internet /plane travel and this gives people the freedom to live, work and invest 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. The main feature is the side-by-side comparison table. 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 )!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
86%86% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
51%51% 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
48%48% 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
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% 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
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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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