How many people live within an hour walk of you?

Hacker News

I've been building a bunch of US geography tools/games/visualizations and thought folks on HN might like this one. There are also drive-time and bike-time tools available on the same page. For folks interested, all of the data comes from OpenStreetMap and the US Census at the moment - OSM for routing and points interest and the US Census for population data. Anonymous users can use it 5x/day. I put up a waitlist page to gauge interest in a paid version but there's no way for the public to make an account - feel free to bypass the limits in an incognito tab. The site is US-only for the time being - sorry for international folks!

Visit product View on Hacker NewsJul 28, 2026

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

71%71% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal

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

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% 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 · Strong signals: paid · 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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