A color palette design tool for websites

Hacker News

Hi HN, while building something entirely, I realized that there is a lack of tools to pick colors for websites and web apps. While there certainly is an abundance of tools for color palettes, but they mostly give you three to five bright or pastel colors. Not what you need for websites. For that, you need one or two primary colors, and then stuff like text color, background, and so on. So, together with another web dev I built a small web tool that allows picking exactly the colors you need for web projects and live preview your palette on a selection of demo websites. The first version of the tool is online at https://colorsforwebsites.com. Free and no sign up. We are already using this to for early stage projects, so I hope this provides value for you as well. Of course we are also happy about any and all feedback. Cheerz :)

Visit product View on Hacker NewsJun 1, 2022

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3points

Did not reach leaderboard

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps, using · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

11%11% 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.

Incorrect prediction on native model

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