Sublayer

Sublayer is an AI native software studio and lab in New York. Its site gathers products (including Where Is Everyone, attendance intelligence for community organizers), open source repositories, writing, a Discord community, talks, and services rather than a single app.

Sublayer is an AI native software studio and lab based in New York, presented on its site as a collection of products, open source work, community, writing, and experiments. Rather than a single application, it operates as an umbrella: the studio ships its own products, publishes code on GitHub, runs a Discord community, and writes on a Substack under the Works on My Machine banner. The stated theme is what happens when the cost of making things approaches zero. The most concrete product on the homepage is Where Is Everyone, described as attendance intelligence for community organizers. Its pitch is a specific problem: telling apart people who will actually turn up from people who merely RSVP. That framing is useful for anyone running meetups, conferences, or recurring events where headcount planning depends on unreliable confirmations. The site lists it as the featured product launch at whereiseveryone.app. The site is organized as a broadcast console, with numbered channels for signal, products, writing, community, source, talks, and services. That structure suggests the studio also takes on client work under services while keeping its own experiments public. For developers and product people, the source channel and the linked GitHub organizations are the practical entry points: open source repositories rather than a packaged SaaS product with a sign up flow. Sublayer fits alongside small independent studios and AI research labs more than it does a typical tool directory entry. There is no obvious single sign up, no published plan grid, and no listed integration catalogue on the homepage. Teams looking for a vendor with a documented SLA should look elsewhere; developers, community organizers, and people curious about AI assisted making will find more of interest across the products, repositories, and writing. Its position is closer to a workshop than a platform.