Spotfound: AI-augmented lost and found platform for campus communities

Hey Product Hunt!

I’m Gian, a full-stack developer, and I’m excited to launch Spotfound!

Why I Built Spotfound

Traditional campus lost and found systems rely on manual logging, fragmented social media posts, or slow paper records. This leads to unclaimed items, staff bottlenecks, and identity verification risks.

I built Spotfound as a production-grade solution to digitize and automate the entire lifecycle of campus lost property from instant item reporting to secure handoffs.

Core Highlights

AI-Powered Matching & Scanning: Integrated Google Gemini for visual item comparison, instant photo tagging, and real-time student ID OCR extraction.
Anti-Fraud Verification: Dual-layer fraud detection that cross-references claimant ownership details against hidden item attributes, surfacing visual confidence scores and risk badges for admins.
High-Performance Architecture: Optimistic UI mutations (<16ms response times), Redis student masterlist caching, real-time Socket.io chat, and offline Web Scanner capabilities.
Campus Engagement: RPG-style student leveling, streak rewards, leaderboards, and an administrative Recognition Feed to celebrate civic honesty.

Specific Feedback I'd Love

AI Workflows: How intuitive do the Gemini Vision comparison and fraud-scoring interfaces feel?
Feature Scale: What additional tools or integrations would make this more valuable for enterprise, institutional, or venue management?

Thank you for checking out Spotfound! I’ll be here all day to answer your questions and hear your thoughts.