Video-to-Structured-Data Extractor

Automatically extract key information from social media videos (restaurants, events, locations, dates) and organize into searchable maps, calendars, and lists. Solves the problem of losing track of saved content across platforms.

Short-form video has become a primary discovery medium for restaurants and events, but platforms like TikTok and Instagram deliberately make saved content unsearchable and siloed — a gap that's grown more painful as people save hundreds of videos they never revisit. The closest substitute is manual tools like Notion or Google Maps lists, which require human effort to populate, and while startups like Saved have attempted parts of this, there's no dominant incumbent with real traction. The $2k–10k/mo revenue band is realistic for a prosumer or light B2C subscription, though it implies a ceiling — this is likely a niche utility product, not a platform, which caps upside unless it pivots toward aggregating data for local businesses or media companies. The biggest risk is platform dependency: TikTok and Instagram actively restrict scraping and API access, and a single policy change or rate limit crackdown can break the core extraction pipeline entirely.