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Startups & Technology

Pool turns your chaotic screenshot archive into actionable data

A new iOS app called Pool is tackling the modern dilemma of the digital junk drawer by using AI to index and categorize the endless stream of screenshots stored on your phone. It transforms static images of recipes, products, and travel ideas into searchable, link-driven content that you can actually use.

Pool turns your chaotic screenshot archive into actionable data

The app functions by scanning your photo library and organizing images into personalized folders known as "pools" based on their content. Unlike conventional bookmarking tools like Raindrop or Fabric, Pool is specifically engineered to extract metadata from screenshots. If you capture an image of a retail product, the app identifies the original web link; for recipe screenshots, it surfaces ingredients and instructions directly from the source. Co-founders Maxime Junique and Piet Terheyden developed the concept to solve their own frustration with "screenshot amnesia," a common behavior where users save inspiration only to lose it in the depths of their camera rolls.

Originally conceived three years ago while the founders were working out of a van in Lisbon, the project was briefly shelved to focus on B2B software, including the CRM tool Waitless, which was later acquired. The rapid maturation of AI technology prompted the team to revive Pool, viewing personal image archives as an untapped dataset for intelligent agents. The app treats screenshots dynamically—removing expired content like used event tickets while keeping relevant inspiration accessible. Backed by $2 million in pre-seed funding from firms like General Catalyst and Kima Ventures, the team is now expanding the project toward an agentic AI assistant, with a goal of turning the app’s rubber duck mascot into a broader personal productivity brand.

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