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CoworkSpot

Because nobody should pick a coworking space blind or work alongside peers unnoticed.

CoworkSpot — captura
01// historia

Workspaces Outside the Capital

Suburban towns near Bogotá like Chía are full of remote knowledge workers, but coworking data was fragmented and online ratings lacked credibility. CoworkSpot was designed to solve two needs: discovering spaces filtered by technical metrics (Wi-Fi speed, outlet access, noise levels) and meeting fellow developers working in the same room.

02// decision

Reviews Tied to Physical Visits

To eliminate fake reviews, every approved coworking space receives a physical QR code placed on-site. Users can only submit ratings after scanning that code at the venue, ensuring reviews come from verified physical visits.

Coworking directory view

↳ Detailed venue profile showing verified Wi-Fi speeds, noise levels, and amenities.

03// arquitectura

Proximity Networking Without Data Leaks

The proximity feature notifies users when relevant professionals are at the same venue without revealing identities prematurely. Consent is unidirectional: saying yes only exposes your own profile (such as LinkedIn), never the other party's information unless they also provide explicit mutual consent.

PostGIS
spatial data
Row Level Security
security
Opt-in only
privacy
User profile and privacy controls

↳ User profile settings with granular visibility controls for on-site networking.

Built with:Expo, React Native, TypeScript, Supabase (Postgres + PostGIS), RLS, and Edge Functions.
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