Coordinate converter in a single HTML file

Hacker News

Came across a few online MGRS, lat/lon, UTM, and DMS converters while doing some research for my app. They were covered in ads and none of them supported batch conversions or bearing calculations. I put one together as a single self-contained HTML file. It auto-detects whatever format you paste in and converts to everything else simultaneously. Also has a bearing/distance calculator, dead reckoning, and batch mode for converting lists. Includes FixPhrase (the open-source, patent-free What3Words alternative) that turns any coordinate into a 4-word phrase. The engine uses DMA TM 8358.1 (truncation, not rounding. The popular npm mgrs package gets this wrong). Everything runs client-side, no tracking, works offline after first load. ~88KB total. Link is to the repo if anyone wants to poke around.

Visit product View on Hacker NewsMar 25, 2026

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, 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

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

20%20% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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