Ho

How much developers earn in Europe? Dashboard

Hacker News

How much developers earn in Europe? Dashboard

https://affliction123.github.io/euDevDash/ << link to Dashboard So in response to survey of EU Developers earnings published on HN few days ago ( https://news.ycombinator.com/item?id=15088840 ), I made a v1 of a dashboard and would love to hear some feedback on what info would You like to see on first sight, dig deeper.. or whatever is Your prime interest from this survey (like which country pays the most, or smth else?) I worked on this around 5-6h, and I am curious what are some tricks to improve it overall or make some things slicker, please share Your thoughts.. I am planning to build a portfolio of few real data visualization cases, so any help is really appreciated as to how to improve overall skills. https://github.com/Affliction123/euDevDash << link to Code (v1, please :))

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2points
Did not reach leaderboard

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80%80% 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: 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 · Strong signals: new, visual, code · Missing: mac, agents, macos
49%49% 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
43%43% 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
35%35% 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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