Thousands of markets never form: willing buyers and sellers who cannot find each other, trust each other, or close a deal. We call them thin markets. Eighty years of economics explains why they stay that way, and the frictions that keep them thin can now be engineered away.
Buyers and sellers who cannot find, trust or deal with each other. The frictions are known, documented over eighty years, and they repeat across thousands of markets.
A free, open-source market engine, built once and dressed for each market: semantic matching, confidential disclosure, and a Deal Brief that hands off to the parties’ own professionals.
Hundreds of prospective thin markets across 29 sectors, each tagged with the challenges that bind it and the interventions that would release it.
The whitepaper and the fifteen cards for the argument, the matrix for reference, the ebook for the Canadian case, and the worked examples: teardowns of real ventures, scenario stories, a diagnostic checklist and a demo you can drive.
Yes. The engine is MIT-licensed and the project is self-funded. Code, domain knowledge, a market to test on, and honest critique all have a place to land.
A self-funded, pay-it-forward project by a founder with five decades of professional work behind it, with no investors and no board.
The frictions that keep markets thin are common across thousands of markets, so the layer that fights them can be built once and reused. DeeperPoint is building that layer as free, MIT-licensed, open-source software: adopt it, fork it, build on it, and nobody can raise the price or lock you in. There is no license fee, no usage tier, and no upsell behind the demo. Getting a new market engine adopted is a thin-market problem too, and price, procurement and lock-in are its biggest frictions.
The project is self-funded, with no investors and no board, and it is open to anyone who wants to take part: with code, with knowledge of a market, with a market to test on, or with a hard question.
