You probably do. Someone in your life knows how school board elections work, has lived in the city you're moving to, or used to work with the person you need to reach. The hard part is surfacing who.
Your address book remembers their phone numbers. Kettle helps you remember the rest.
Think of the wiki fans keep for a show: you look up a character and find their history, relationships, and what they were doing three seasons ago. Kettle brings that idea to the people you actually know.
Alongside names and numbers, there's the useful lore: how you met, what you've talked about, what they know, what interests them, and what you have in common. Your kid's soccer coach may also be a structural engineer. Someone you mostly trade jokes with online might know a great deal about the problem you're trying to solve.
That context can come from notes you've written, documents people have shared with you, facts you add yourself, and public information you choose to research. You don't need to assemble a biography. A few useful details can make someone findable again.
Memory's tricky. Kettle lets you search the information you have about people, not just the name field. Your assistant turns your question into searches; what it can find depends on the words and context you've stored.
School friends, former coworkers, neighbors, people from that summer 2007 trip. Some are in your phone, some on LinkedIn or Facebook, some on Bluesky, some in an alumni directory. Kettle gives you one place to bring together the contact information and context you choose to collect.
Pseudonymous pocket homies work for Kettle too. BANANA_DESTROYER_69 may be a valuable connection in your next job search, even if you don't happen to know her real name, just that she's a personal-injury lawyer in Cleveland.
Start with what you already have. Choose an export from your phone, Facebook, LinkedIn or another supported source. Your assistant helps bring it all together into one searchable surface.
Enrich manually or automatically. Tell the machine “she helped with the school fundraiser” and it'll remember that, or tell it to enrich a contact and it'll go looking for information.
Search from your agent. Your agent looks through the information you've collected about who you know to help answer questions like “Who do I know who lives in Austin?” or “What's what's-his-name from cross country doing now?”
As with xo, data ownership is a guiding principle of Kettle. In the default local setup, the data you build about your life lives on your computer in an open format.
Owning the files doesn't mean every use stays on your computer. A cloud AI receives the contact information returned to it.
Kettle keeps the original sources, facts you add yourself, and research results separately, so you can see where information came from.
Start with one source export. Add context when it's useful. You don't need a life-history interview, every account connected, or three weekends spent cataloguing everyone you've met. Have your agent enrich contacts when you've got capacity to spare.