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Matching people based on their saved places, not their profiles

Matching people based on their saved places, not their profiles

by anupamchugh·Feb 11, 2026·1 point·0 comments

AI Analysis

MidCozyEye Candy

Dating app angle is cute, but Google Places matching already exists—this is a novelty use case.

Strengths
  • No-signup browser-first approach removes friction for quick comparison between two people.
  • Thoughtful taste taxonomy (adventurous vs. repeat visitors, new-place frequency) extracts signal beyond simple place overlap.
Weaknesses
  • Core idea (comparing two location lists) solves a problem no one has at scale—niche use case.
  • Google Maps already shows 'near me,' shared lists, and collaborative maps; this is a UI reskin.
Category
Target Audience

Couples, friends, travel planners evaluating compatibility through shared interests

Similar To

Google Maps shared lists · Hinge place prompts · Bumble location discovery

Post Description

I exported my Google Maps saved lists, compared them with a friend's, and realized our overlapping places said more about compatibility than any bio. So I built Common Ground — paste two list URLs, swipe through your places, and see what you share. No signups, runs in your browser. Vibe-coded in an hour

https://anupamchugh.github.io/placematch/

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Draw a polygon on Google Maps and bulk-export matching places to CSV

You draw a polygon, run repeated keyword searches, and the app merges everything into one CSV — simple but immediately useful for gathering local business data. The UI includes handy touches like saving the API key to localStorage and a shareable URL, and the stack (Bun + React 19 + Tailwind) promises snappy frontend dev. Not novel — Google Places already offers the data — but the multi-search accumulation + one-click export removes a lot of friction; watch Google quotas and key security.

Solve My ProblemNiche GemShip It
rbbydotdev
103mo ago