Equidistance – find a meeting spot that's equally painful for everyone
Fair meeting-spot finder using travel times instead of geographic midpoints—clean UX, real problem.

Isochrone fairness scoring beats anchoring bias, but US-only transit limits reach.
Groups planning meetups in cities with transit infrastructure
Google Maps · When2Meet · Meetup.com
Everyone else agrees to avoid friction. Someone ends up with a disproportionate commute. Nobody mentions it.
The tool calculates each person's reachable zone using real transit data (not straight-line distance), finds the intersection, and surfaces Google Places results inside that overlap — ranked by a Fairness Score that measures how equally reachable a venue is for everyone in the group. Technical decisions worth discussing:
Isochrone-based rather than Euclidean midpoint — crow-flies distance is meaningless in a city with asymmetric transit
Per-person travel mode support — one person cycling, another on the Subway, a third driving
Session state serialised to URL hash so any search is shareable without accounts
Built entirely with AI tools as a non-technical founder — happy to talk about that process if useful
No accounts, no paywall, works in the browser.
Would genuinely appreciate feedback on the technical approach and any edge cases you'd throw at it.
hugpoint.io
Fair meeting-spot finder using travel times instead of geographic midpoints—clean UX, real problem.
Transit-weighted heatmaps beat Google Maps for planning real-world meetups.
Elegant constraint: concerns only surface if two people name them independently.
Multi-speaker voice model with natural interruption and barge-in prevention, genuinely different from turn-taking chatbots.
Group-based reasoning with LLMs surfaces patterns pairwise comparison tools miss.
Scans Datadog and PagerDuty to find missing alerts before customers do.