OpenFreeMap – Free OpenStreetMap Vector Tile Hosting

Hacker News

Hi HN, After 9 years of running my own OpenStreetMap tile server infra for MapHub ( https://news.ycombinator.com/item?id=11389989 ), I’ve open-sourced it and launched OpenFreeMap — offering free, unlimited map tile hosting. OpenFreeMap provides free map hosting for websites and apps with no limits, no registration, no API keys, and no cookies. It’s also fully open-source: see the code at https://github.com/hyperknot/openfreemap and the styles at https://github.com/hyperknot/openfreemap-styles . Why? Using OpenStreetMap data usually requires paying for hosting or dealing with complex self-hosting. I wanted to make it easy and accessible for everyone. How does it work? Tiles are served directly from Btrfs partition images containing 300 million hard-linked files, avoiding the overhead of a tile server and leveraging Linux kernel file caching. Key components: - Tile Generation: Planetiler ( https://github.com/onthegomap/planetiler ) - Hosting: Nginx serving tiles from Btrfs images on dedicated Hetzner servers. - No Cloud Services: Optimized file serving on dedicated hardware. How is it free and unlimited? With enough donations and subscriptions, I hope to cover bandwidth costs. Looking forward to your feedback!

Visit product View on Hacker NewsSep 19, 2024

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nativeThis product was originally launched on this platform.

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

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49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

14%14% 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.

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