Rollin
Wheelchair accessibility scores for 56K+ locations (free API)
Details
- External ID
- 47038151
- Source
- HN
- Company
- —
- Product
- Rollin
- Website domain
- joinrollin.com
- Launched
- Feb. 16, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.28099730458221023
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Solo dev, Hudson Valley NY. I built ROLLIN because Google Maps gives wheelchair users a yes/no checkbox and calls it accessibility data. ROLLIN scores locations 0-100 across 6 features: wheelchair entry, accessible restroom, level entry, parking, wide aisles, elevator. Data pipeline pulls from OpenStreetMap, cross-references Google Places, and layers in community verification with a trust-weighted scoring system. Stack: Vanilla JS (no frameworks), Netlify serverless, Supabase/Postgres, Leaflet maps. ~56K locations across NY, CA, FL, MA, NJ, PA. Free to use, free API tier for developers. Paid tiers for higher volume and commercial use. Ill be happy to answer any questions. :) https://joinrollin.com API docs: https://joinrollin.com/developers
Enrichment
- Theme
- digital accessibility and compliance tools
- Vertical
- Real estate
- Function
- Analytics & BI
- Audience
- B2B
- AI stance
- Not AI
- Project type
- Commercial product
- Normalized one-liner
- wheelchair accessibility scores for locations
- Manually corrected
- False
Could you build this?
Partial The map interface and directory API are straightforward to vibe-code, but curating and accurately scoring multiple granular physical accessibility attributes across over 50,000 venues requires a complex data pipeline.
What it would actually take: The system requires a PostGIS spatial database feeding a Next.js/Mapbox frontend, backed by an ETL data pipeline that pulls from OpenStreetMap, municipal datasets, and runs NLP/vision models over venue reviews and user photos to extract specific accessibility features. The hard challenge is data resolution, deduplication, and accuracy validation for physical metrics that Google Maps and public APIs omit.
Discussion
4 comments analyzed.
Concerns raised: Documentation out of sync with actual API responses
Competitors
Other products that read as similar to this one — 15 launches clear the similarity bar, closest 8 shown.
Attention rank: #14 of 16 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 37 days after the earliest competitor.
- PMR Access · ph · 2026-09-24 · 2 upvotes · similarity 0.43
- 92% of US city websites fail ADA accessibility · hn · 2026-07-09 · 21 upvotes · similarity 0.41
- RentDataNow · hn · 2026-03-24 · 8 upvotes · similarity 0.37
- I computed livability for all of Germany by rent, commute, and QoL · hn · 2026-07-01 · 5 upvotes · similarity 0.35
- NYC MapTap · hn · 2026-09-08 · 18 upvotes · similarity 0.34
- Nexoborde · ph · 2026-09-10 · 1 upvotes · similarity 0.34
- AuditIn · ph · 2026-09-15 · 2 upvotes · similarity 0.34
- Arcadia · ph · 2026-09-25 · 1 upvotes · similarity 0.33
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a analytics & bi tool for Legal yet.