Geosocial Video Dating Platform with WebRTC
The Problem
A dating startup wanted to move beyond swipe-and-text by offering live video date experiences. They needed private WebRTC video rooms that could scale to thousands of concurrent sessions, with trust and safety infrastructure built in from day one — including real-time moderation, SMS verification, and abuse prevention — plus interactive engagement features like in-app games during live video calls.
Why Building a Real-Time Video Dating Platform Is Hard
Live video dating sits at the intersection of real-time media, social product design, trust & safety, and high-concurrency infrastructure:
- Private WebRTC rooms at scale — thousands of concurrent 1:1 video sessions with encryption
- Trust and safety is existential — one bad experience can destroy platform reputation
- Sub-second connection setup — users expect instant video when they tap "connect"
- Interactive features during live sessions — games and activities alongside video
- Post-date feedback and matching algorithms that improve with usage data
- Multi-service cloud architecture on AWS handling bursty real-time traffic patterns
What We Did
Architecture & Real-Time Infrastructure
- Designed AWS-based architecture with S3, CloudFront, Lambda, and SNS for scale
- Integrated TokBox (Vonage) for private WebRTC video rooms with adaptive quality
- Built Firebase real-time layer for presence, notifications, and live session state
Core Dating Platform
- Built geo-discovery engine with location-based matching and preference filters
- Developed private video room system with encrypted 1:1 WebRTC sessions
- Implemented interactive in-app games playable during live video dates
Trust, Safety & Moderation
- Built admin dashboard with real-time moderation tools and user management
- Implemented SMS verification and identity checks during onboarding
- Developed abuse prevention — reporting, blocking, and automated flagging systems
Scalability & Data Pipeline
- Deployed across AWS services with auto-scaling for concurrent video session spikes
- Built ratings and feedback system feeding into matching algorithm improvements
- Implemented Cassandra logging for high-throughput event tracking and analytics
Key Results
What We Learned
Trust and safety architecture can't be retrofitted — it must be foundational
We built moderation, reporting, and verification into the core data model from sprint one. Bolting safety onto a shipping product always leaves gaps that bad actors find first.
Private video rooms need orchestration, not just WebRTC
WebRTC handles the media, but room lifecycle — creation, matching, timeout, cleanup — needs a dedicated orchestration layer managing thousands of concurrent short-lived sessions.
Engagement features during live video are a latency-sensitive design problem
In-app games must sync state between two users over the same connection carrying video. Any game action that adds perceptible delay to the video feed ruins both experiences.
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