Pool launches AI-driven iOS app to organise digital clutter
The free application, the first product from Spinoff Studio, automatically categorises images into personalised collections and addresses the common issue of users losing track of saved recipes, products, and inspiration.
Pool has released a new iOS application designed to resolve the persistent issue of digital clutter by using artificial intelligence to organise screenshots. Co-founded by Maxime Junique and Piet Terheyden, the app automatically categorises user images into personalised collections, referred to as “pools,” and utilises AI agents to identify and retrieve the original source links associated with the saved content. The application is available as a free download on iOS.
The startup, which previously raised over $2 million in pre-seed funding from investors including General Catalyst and Kima Ventures, positions itself as a solution to the problem of users saving images such as recipes or product recommendations and subsequently losing track of them. Pool treats these screenshots as searchable memories, with AI determining relevance over time. For instance, a screenshot of an event ticket barcode may disappear after the event has passed, while a flyer for an upcoming event may trigger an agent to find ticketing links.
Pool is the first product to emerge from Spinoff Studio, the founders’ product and design studio, which was established around three years ago. The initial version of Pool was built in Lisbon over a couple of weeks while the founders lived in a van, but the project was shelved after the studio pivoted to B2B SaaS products, including the CRM software Waitless, which was acquired last year. The app’s development was revived due to the maturation of AI technology, which made processing unstructured personal datasets feasible.
The founders recently travelled to San Francisco in late May to meet with investors. Junique noted that the team identified screenshots as a deeply emotional, unexplored dataset for AI, distinct from productivity-first data like emails or chat logs. The app’s core functionality includes tracking down original links for saved content; for example, it can link a screenshot of a product to the retailer’s website or pull up ingredients and instructions for a recipe seen on Instagram.
Looking ahead, the founders plan to develop a second, separate app that will function as a personal assistant, incorporating the brand’s rubber duck mascot as an agentic AI interface. This new tool will expand on the concept of treating personal data as actionable memories, building on the foundation established by the current iOS release.
