Youngun runs meme-marketing campaigns at scale — they own a network of meme pages and work with a roster of creators who post sponsored content into the feed. Before MeldIt, the operations layer was almost entirely manual: a creator would post their piece, paste the link into a Google Form, someone on the team would manually open it, eyeball whether the content matched the brief, copy numbers into a spreadsheet for analytics, and queue the payment. Every campaign meant hundreds of these checks.
MeldIt automates the entire loop.
What it does
- Campaign registration — brief in, media specifications captured, distributed to the right meme pages and creators.
- Distribution — routes the right brief to the right creators based on the campaign’s needs.
- Verification at scale — the hard part. Pulls posted content from Instagram, runs video segmentation and image / sub-section matching against the brief’s reference media, and confirms whether what got posted is what was supposed to get posted. Not LLM-based — actual visual matching, because “did this creator post the thing we paid them to post” needs to be unambiguous.
- Analytics — engagement, reach, performance, all aggregated automatically instead of by hand.
- Payment distribution — once verification clears, the payout flows.
What I built
I created the first version end to end — the matching pipeline, large-scale Instagram scraping, media caching, the data plumbing between every stage, and the operational scaffolding around it. I then handed it off to the frontend lead who turned it into the full application Youngun runs today.