React-cookie-banner – A cookie banner for React with minimal config

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Hi HN, I built a React library that aims to simplify making websites GDPR-compliant with a fully integrated cookie banner solution. I found existing solutions to be too simple (just giving an "Accept" button which isn't compliant) or too complex (requiring a lot of configuration and setup or paid external services). With this library, services simply need to be wrapped inside a `CookieService` component and the library will take care of the rest, handling: - Displaying a cookie banner - Managing/storing user consent - Conditionally loading external scripts based on consent - Google Consent Mode - Multi-language support and customization Would love to hear thoughts, feedback, or suggestions! Live demo: https://vantezzen.github.io/react-cookie-banner/

Visit product View on Hacker NewsMar 26, 2025

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

73%73% 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 · Strong signals: google, user · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · 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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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