JSON Maps – Describe Maps as JSON, Render Them with React and MapLibre

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I have been building a library that lets you define interactive maps as a JSON object. Now the already existing Maplibre Spec is quite strong, but every time I needed to put a map together with markers, widgets, a legend, layer controls and a nice color palette, I'd end up writing a lot of boilerplate html, Even writing with AI it would mess up the layer management and working with different kind of formats, So I started building a layer on top. Its inspired by the json-render library by vercel. Ive added support for a lot of formats and also loading data with duckdb wasm to power widgets which can filter with the viewport. Would love to get some reviews on this and if its genuinely useful to anyone for building maps!

Visit product View on Hacker NewsFeb 26, 2026

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% 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: widgets · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

14%14% 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

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

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