Every property site in Korea (Hogang-no-no, Zigbang, Dabang) shows the same listings with the same agents.
What people actually need when moving:
- How far is the subway? (door to platform)
- Can my kid walk to school?
- Is there a mart within 10 min on foot?
- How long to my workplace, with transfers?
That's what I built: https://geoinfomatic.pythonanywhere.com?ref=devto&utm_source=devto&utm_medium=social&utm_campaign=multi-site-bot
No listings. No agents. Just an honest accessibility map.
Funded by 5 free analyses/day + 9,900 KRW Pro tier. Built solo with Flask + Leaflet.
Top comments (1)
I love how you've identified a genuine pain point in the traditional real-estate listing model, where the focus is often on the properties themselves rather than the surrounding amenities and commute times. The idea of an "honest accessibility map" is really intriguing, and I can see how it would be valuable for people looking to move to a new area. By using Leaflet to visualize this data, you've created a user-friendly way to explore these factors, and the fact that you've been able to fund it through a freemium model with limited daily analyses is a testament to the potential for sustainable, community-driven projects. What kinds of data sources did you use to gather the information on subway times, school locations, and mart proximity, and were there any particular challenges in integrating these datasets?