Founder + Lead Engineer

Flip

60k products tracked. 8 sources scraped. Daily refresh.

Context

Resellers of limited/hyped items needed a way to track inventory, costs, and profit across multiple marketplaces. I built Flip as a solo founder to solve this.

Role & Ownership

Founder + Lead Engineer. Led a team of 6: 3 engineers, 1 CSM, 1 sales. End-to-end ownership: product vision, architecture, engineering leadership, scraping infrastructure, and payments.

What Was Built

Scrapers for ~8 retail/marketplace sites
~60k products in catalog
Daily data refresh pipeline
Product matching via SKU + fuzzy fallback
Normalized catalog model
Inventory tracking per user
Expense + profit analytics
Stripe integration (subscriptions)
OAuth2 authentication

Results

60,000+ products tracked
8 sources integrated
Daily refresh cycle operational
MVP to shutdown in 6 months (learned when to stop)

Stack

Python Django Nuxt 3 Tailwind PostgreSQL Redis Celery Stripe Docker Web Scraping ETL Pipelines

Proof

Dashboard

Inventory

Expenses

Authentication

"Product matching was nuanced. When SKU was available, matching was straightforward. But SKU wasn't always present across all sources — that's where fuzzy matching on product names came in as a fallback. I built a pipeline that prioritized SKU, fell back to fuzzy matching, and allowed manual overrides. Learned that 80% accuracy with fast iteration beats 95% accuracy that ships late."