I
I rendered 17k+ maps in different styles and they're CC licensed
I rendered 17k+ maps in different styles and they're CC licensed
Achieved through a brute force combination of topojson data from various sources (stats authorities, geoboundaries) x colour theory x combinations of different projections. When I get a moment I'll write up my approach.
Share cardActual performance
2points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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