Generate a Fog Of War map from Google location data locally in browser

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I've created a Fog Of War map based on my data export using python in 30 minutes, and decided to build a web app to make it easier for others. Then I spent a whole day trying to figure out how to do it in JS, why it's way slower ( https://github.com/Turfjs/turf/issues/2851 ), how to optimize it (I tried Rust wasm but had too many problems with bindings for geo), then trying to deploy it as a static page but had too many problems with next.js error pages and awaits. This version is still alpha, doesn't collect your data, built with next.js and deployed to cloudflare pages like this https://developers.cloudflare.com/pages/framework-guides/nex...

Visit product View on Hacker NewsApr 20, 2025

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

76%76% 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.

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

70%70% 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 HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% 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

15%15% 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.

Incorrect prediction on native model

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