The Story
Every London commuter has had the moment: doors open, you step off, and you are at the wrong end of the platform. The escalator is a 90-second walk through the wrong-direction crowd. The exit is behind you. The information was always knowable. Nobody had ever organised it.
First Out covers the entire London network: 11 Tube lines, the Elizabeth line, the DLR, and all six newly-named London Overground lines (Lioness, Mildmay, Windrush, Weaver, Suffragette, Liberty). For every station, on every line, in both directions, the app tells you the best carriage to board, the platform position to stand in, and which side the doors will open. The TfL data layer adds 183 step-free stations, 131 with lifts, 143 with toilets.
Mike Litman is a 15+ year strategy director in advertising, not a developer. He built First Out alone using AI as the leverage layer: structuring data, writing code, testing edge cases. The product covers the full London network and ships as a Progressive Web App today, with an iOS build queued for the App Store. The same data engine also powers Buggy Smart, the pram-focused sibling product for parents navigating with a pushchair.
First Out is part of a quiet shift: people without engineering backgrounds building useful, real-world software using AI. No bootcamp. No co-founder. No funding round. The deeper story is not the app, it is who built it, and how that changes who gets to make things for a city of nine million people.
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