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Built an isochrone neighborhood analyzer for South Korea (no real-estate listings)

https://lemmy.world/post/47037399

Built an isochrone neighborhood analyzer for South Korea (no real-estate listings) - Lemmy.World

Most real-estate sites in Korea are dominated by property listings. I built the opposite: a tool that draws 10/20/30/45-minute walking and transit isochrones, then overlays reachable subway stations, schools, hospitals, marts, parks, gyms, pharmacies, libraries, and cafes inside that polygon. No listings. No agents. You pick an address, choose walk or transit, slide the time, and get a 100-point composite accessibility score plus an AI-generated one-sentence summary like “strong school access, weak mart access”. Transit mode further splits results by transfer count (0 / 1 / 2+). Stack: Flask + Leaflet + OSRM for walking + custom graph for Korean subway + bus data. Hosted on the free tier of PythonAnywhere. Freemium: 5 analyses/day free, 9,900 KRW/month Pro for unlimited + PDF reports + multi-point comparison. Live: https://geoinfomatic.pythonanywhere.com/ [https://geoinfomatic.pythonanywhere.com/]

Built an interactive map for Gyeonggi local currency merchants (Korea, 31 cities)

https://lemmy.world/post/47037372

Built an interactive map for Gyeonggi local currency merchants (Korea, 31 cities) - Lemmy.World

I built an interactive map for South Korea’s Gyeonggi Province (14M residents) showing local-currency merchant locations across all 31 cities, with business-type filter and a real-time “open now” filter. Built solo with React + Vite + Leaflet, hosted on Firebase. Uses OSM tiles + public API merchant data. PWA installable, KakaoTalk share, dynamic OG cards. Live: https://gyeonggi-currency-map.web.app/ [https://gyeonggi-currency-map.web.app/] Sharing here because it’s a real-world OpenStreetMap consumer in production.