$ cat ~/case-studies/ebay.md
Seller-tooling mobile companion
A native iOS + Android companion app for high-volume sellers to manage listings, respond to messages, and track payouts from wherever they sourced inventory.
eBay's power-seller segment was doing most of their operational work from desktop. Mobile was a second-class citizen — you could browse, but you couldn't run the business from the phone. We were brought in to build the companion app that changed that.
Native iOS and Android, one backend. Swift + Kotlin on the clients, AWS API Gateway + Lambda + DynamoDB on the server. The hard work wasn't the CRUD — it was the offline-first sync that let sellers draft listings in a warehouse basement without LTE and upload when they came back up.
Secondary win: we shipped the companion with CloudFront + signed URLs for listing photos, which dropped image costs 70% versus the prior CDN setup. The same pattern now runs in a few other parts of the product.
- + kept: Offline draft + queue-resume upload- cut: Rich media preview on slow LTE// why: Warehouse basements have zero bars. Previews broke the uplink; drafts didn't.
- + kept: Native per-platform UI- cut: Cross-platform unified codebase// why: Seller expectations diverge per-OS. Shared code hurt polish more than it helped velocity.
- + kept: 120ms p95 API latency budget- cut: Real-time analytics tab// why: Seller tooling is transactional. Dashboards moved to a nightly batch view.
$ ready to start
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30 minutes. You leave with a scoped MVP plan, a fixed-price quote, and an AWS architecture sketch.