The open-source skeletal framework for generating functioning online thin markets. It implements the DeeperPoint theory natively.
As part of the MarketForge ensemble, Cosolvent serves as the open-source layer. It provides the essential digital infrastructure that connects isolated buyers and sellers within highly specialized, low-volume ecosystems.
Rather than spending months building role permissions, deal-flow assembly, and semantic scaffolding from scratch, Cosolvent allows you to generate a functional marketplace structure instantly, ready to be customized for your exact vertical.
Most matching platforms announce a match. Cosolvent argues for one.
When two parties are matched, Cosolvent generates a Content Match Story — an AI-authored narrative that explains why the pairing is promising and what they could plausibly accomplish together. Not a profile summary. Not a referral. A case, made on behalf of the match.
Delivery is progressive and privacy-respecting: the story begins anonymously, so both parties can assess fit before any identifying information is exchanged. Identity is revealed only on double opt-in. This means participants arrive at their first conversation already understanding the match argument — wasted calls drop, conversion on genuine matches rises, and every interaction starts with shared context rather than mutual assessment from scratch.
In thin markets — where each viable match is rare and every trust withdrawal is costly — the Content Match Story is not a convenience feature. It is a structural intervention that makes low-density markets viable.
Cosolvent is deliberately scoped as a headless matching engine. It provides the universal scaffolding for thin market formation, but explicitly defers domain-specific customisation to the market sponsor.