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Color palettes generator for data visualization

Hacker News

Color palettes generator for data visualization

A generator app for charts/visualizations color palettes based on the article "How to pick the least wrong colors" [1] by Matthew Ström featured recently on HN [2]. The code is available on github [3]. [1] https://matthewstrom.com/writing/how-to-pick-the-least-wrong... [2] https://news.ycombinator.com/item?id=31639009 [3] https://github.com/aleris/category-colors

Visit product View on Hacker NewsJun 8, 2022

Actual performance

12points

3comments

Made the leaderboard

Launch Intel predictions

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% 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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, visual, code · Missing: mac, agents, macos

12%12% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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