Mapping historical markers around the world

Hacker News

I saw the 'map of torii' post yesterday and thought y'all might like to see the small app I've been working on that uses HMDB.org data to map historical markers around the world. HMDB has been aggregating markers for over 15 years and back when I was living out of my van and traveling full-time I wanted to get notified whenever I passed one, so I built a mobile app around that. I think historical markers are underrated - as a physical marker they make history tangible. Rather than reading about history from a classroom, you get the opportunity to see and engage with it at the source. If you're already nearby, they are often worth the stop to learn more. Since releasing the iOS app a few years ago, I've been able to enhance the markers with summaries (which makes reading the content a lot more palatable), and converting them to audio, so you can listen to markers when you're driving. Yesterday I officially released the android app, with the same features as the iOS app.

Visit product View on Hacker NewsFeb 23, 2025

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

90%90% 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: physical · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

49%49% 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

28%28% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · 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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