Trackkit – provider-agnostic analytics SDK (Umami, Plausible, GA4)

Hacker News

After switching analytics providers twice in a couple of weeks (GA4 to Umami for privacy, then to Plausible for cost), I got fed up with altering tracking calls and initialization each time. It also drove home that things like consent gating, SPA navigation, and SSR hydration don't change regardless of provider, and shouldn’t need per-project implementation at all. Trackkit is what I built to solve it. You switch providers by changing config, not code. It handles queue-first event capture with consent gating, SSR queue serialization and client-side replay, and optional typed event maps for compile-time checking. And it's a client library only, so no new services or infrastructure. I've been testing it against my own projects, but I'm sure there are integration patterns and edge cases I haven't hit. If you try it and something breaks or feels wrong, please let me know. Issues and discussions are open on the repo.

Visit product View on Hacker NewsMar 25, 2026

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

72%72% 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

31%31% 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 · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% 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

13%13% 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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