Interactive Map of All Lighthouses in United States

Hacker News

A few days ago I saw a map of all the lighthouses in New England and spent a long time going through and trying to search up the individual lighthouses I saw (given that I'm from NE I thought this map was extremely cool!) Here's the link: https://old.reddit.com/r/MapPorn/comments/1wa260h/lighthouse... I figured it would be interesting to have an interactive version of this which you can scroll around in and click on the light houses to get information about them. I've had a lot of fun going through each of the light houses and reading/following links to learn more about them. Hopefully some of you find this interesting as well.

Visit product View on Hacker NewsSep 10, 2026

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

80%80% 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.

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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