Map drawing tool where the map lives in the URL

Hacker News

For the past 2 years, my girlfriend and I have been software engineers at CERN working for the ALICE and CMS experiments. A few months ago we decided to leave and focus full time on building our own products as we realised we'll never make the jump otherwise. Draw on a Map is the first one we've shipped and it already has nearly 300 users. Draw on a Map doesn't need an account for you to draw and share, and the map stays in the URL fragment (not sent to the server) when not logged in. You can open, draw, share in a matter of 30 seconds. The app is built on top of Cloudflare and using the data from OpenStreetMap. We wanted something lean that doesn't require a big time investment to learn how to use. Would highly appreciate any feedback!

Visit product View on Hacker NewsMay 27, 2026

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

75%75% 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 · Missing: https docs, excited, just released

66%66% 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 · Missing: supports, reddit linkedin, podcasting

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% 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

17%17% 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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