Smart, in the moment saving

Stash (Founder & Developer), 2026 · Case study by Will Dzierson

Tags: LLMs, Machine Learning, AI, Software Development

Project link: https://gostash.it/

My contribution

As founder, developer and designer, I owned the full lifecycle of Stash: defining the product vision, mapping use cases, and shaping the UX across web and mobile. I designed the card and capture model, implemented the backend, wired up AI enrichment and conversational search, and built the apps.

The work

Stash (gostash.it) is a personal digital catchall that automatically enriches URLs, PDFs, images, Reels/Tiktoks, screenshots, videos, voice memos, markdown and more. Stash employs a series of agents in the background which quickly capture & summarize content related to an item, and stores it in a vector table. Everything becomes semantically searchable and ready for downstream AI workflows.

Users can share items with Stash via a Chrome plugin (single button sharing), mobile app (share from any app that supports the share sheet), and MCP. When they need to find something, they chat with their own information layer to summarize, cross-reference, and rediscover content—whether that’s reading notes, health logs, travel ideas, or restaurant recommendations. This makes Stash function as a low-friction, always-available capture surface that turns daily inputs into durable, portable knowledge. You never know when that thing you saw and took a screenshot of will come in handy again.

I built Stash end-to-end in collaboration with Claude & Codex, covering product design, agentic engineering, backend, and the various apps (Chrome, iOS, MacOS).

The stack runs on Supabase & Vercel, with fly.io hosting a Hermes implementation for durable tasks & continuous improvement, as well as enrichment agents.

Images and video