Twistail – React UI components that blend Tremor and shadcn/UI

Hacker News

Hey HN! I am excited to introduce Twistail, a React component library that combines the powerful data visualization capabilities of Tremor with the sleek, accessible components of shadcn/ui. Current status: This project is a work in progress, but most core components are ready for use. I am actively developing advanced components, chart integrations, and comprehensive documentation. I created Twistail after repeatedly merging these libraries in various projects and thinking, "There has to be a better way." I am looking for early adopters and feedback to help shape its direction! The project is open source ( https://github.com/riipandi/twistail ), although the documentation is still in development. Feel free to contribute or provide suggestions.

Visit product View on Hacker NewsMar 19, 2025

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

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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