Dynamic headless CMS with built-in CDP, AB testing and personalization

Hacker News

Hey HN, I'm a developer and long-time OSS contributor. Over the years, I've implemented tons of headless CMSs to give product and marketing teams more autonomy. But there's always been a gap with CMSs when it comes to user interfaces. I kept running into the same issues: poor developer experience, bad performance, no support for dynamic content, and needing vendors for AB testing or personalization, which just gets messy and expensive. Versioning? One change and things break or need manual fixes. Accessing your own data? Good luck unless you're ready to pay extra. So, I built a content API with an initial focus on React and Next.js. No vendors, no component changes. It comes with automatic versioning, TypeScript type generation, built-in A/B testing, analytics, and personalization. Think of it like `fetch` but with superpowers: it understands user context and delivers different content to different users. Most solutions are way too expensive for startups, so we've got a generous forever-free plan. I'm also thinking of expanding it to early-stage companies with more traffic. I'd love to hear any feedback, especially from developers!

Visit product View on Hacker NewsSep 24, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, context · Missing: mac, agents, macos

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

TrustMRRFits verified-revenue profile · Strong signals: personal, users, way · Missing: mobile apps, ios, entrepreneurs

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface, users · Missing: plus, platform, intuitive

33%33% 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

19%19% 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.

Correct prediction on native model

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