ThinkerNotes is built around a plain observation: people who run businesses learn constantly and remember almost none of it. You can name the book you read last quarter but not the idea you took from it, so you end up paying for the same lesson twice. The app's premise is that the problem is not memory but structure — what you learn has no obvious place to go, and no mechanism to bring it back.\n\nThe workflow is deliberately minimal. When you learn something, you write one line in your own words; there is no title to think of, no folder to pick and nothing to decide. Later you come back, cut the note down to the point you actually want to make, and link it to the older notes it relates to. From then on ThinkerNotes surfaces it automatically whenever it is relevant, rather than waiting for you to remember to search. Subjects group everything about one topic — pricing, hiring, launches — with the book, the podcast and what customers told you side by side, and a note that ends in a question stays open until you write the answer, creating a trail of follow-ups.\n\nA distinctive feature is the connector for AI assistants. Via MCP, ThinkerNotes plugs into Claude, ChatGPT and other compatible assistants so they answer from your accumulated conclusions instead of generic training data. The connection is intentionally read-only: the assistant can search your notes but can never add to or alter them. Pricing is freemium — the first 100 notes are free, and Pro at $12.99 per month removes the limit and adds semantic search, Kindle highlight import, custom branding for shared note images, and support for a tool built by a single independent developer.
