NewYorkers
Knicks Watch Party Finder — 48-Hour Build, 500 Users, 10K+ Likes
Launched on time before Game 1. 183 spots across all five boroughs. Nearly 500 real users during the finals. 10K+ likes on Instagram from a single post — organic, no ad spend. Stable under live game-time traffic with real-time spot updates.
The Problem
Build a production-ready map-based platform in 48 hours. Support heavy traffic spikes during games. Make it dead simple for fans to add a spot, browse by neighborhood, and connect via WhatsApp.
Approach
parallel agents running in focused sessions, human-directed, with an async client feedback loop. One agent handles the build — scaffold, feature work, deploy — producing a shippable increment every session. Supporting agents handle documentation, analysis, and packaging concurrently. You direct everything from the client side: feedback comes in, you set the next session, the agents execute. No meetings, no PM, no handoffs.
Results
Launched on time before Game 1. 183 spots across all five boroughs. Nearly 500 real users during the finals. 10K+ likes on Instagram from a single post — organic, no ad spend. Stable under live game-time traffic with real-time spot updates.
Technology
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