Health, home and travel decision
Hoodmaps
A technical user can reproduce the core map and voting workflow in about a week, but they will lose the existing user base, scale, and moderation that make the live Hoodmaps product valuable.
Visit website↗Built by @levelsio, who ships 6 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off32 h to build
$50/mo6 h/mo upkeep
No published price to break even against.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Users place labels on a slippy map, other users upvote/downvote labels, labels are aggregated and shown per neighborhood/location.
What it still won’t have
- Existing user community and historical contributions
- Brand recognition and traffic
- Scale of crowdsourced moderation and content quality
- Any proprietary moderation or trust signals the site uses
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Hoodmaps does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted crowd-sourced neighborhood map using Next.js + Leaflet for the frontend, a Node.js (Express/Fastify) API, Postgres with PostGIS for storage, and Nginx + systemd for deployment. Core features in scope: render slippy map tiles (Leaflet) and neighborhood polygon overlays; allow authenticated users to add geolocated short labels and tags; allow users to upvote/downvote labels; aggregate and serve top labels per neighborhood; admin endpoints to flag/remove content. Out of scope: mobile native apps, advanced moderation ML, commercial analytics dashboard. Include input validation, rate-limiting, basic tests for API endpoints, and deployment scripts (Dockerfile, docker-compose) plus instructions to import OSM/geojson neighborhood polygons.
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Evidence score55
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productNew York City Neighborhood Map (product page)
- official pricingNew York City Neighborhood Map (pricing page)
- official docsNew York City Neighborhood Map (features/docs)
Integrity checks
What held up, and what did not.
