Open-source revenue intelligence01 / Preview
Find the buyer
hiding in your codebase.
SponsorFit reads the evidence in your repository and turns it into a customer hypothesis, a paid offer, and one concrete move to validate next.
signal scan
Happiest sponsor
The team whose production workflow already depends on your project.
02 / Field notes
Five projects.
Five different paths to value.
A project’s paid boundary should follow the expensive job around the code—not a generic SaaS menu. These pre-generated cases stay available even when GitHub’s API does not.
docling-project/docling
AI infrastructure teams operating document ingestion in production
Aider-AI/aider
Small engineering teams trying to standardize AI-assisted development
astral-sh/uv
Platform teams standardizing Python tooling across many repositories
n8n-io/n8n
Operations teams and agencies running business-critical automations
usebruno/bruno
API teams that need a consistent, governable request workflow
03 / The method
Less fantasy.
More evidence.
The web preview is deliberately small. The full Codex Skill and Python CLI go deeper into customer ranking, free/paid boundaries, revenue ladders, and validation plans.
- 01
Read what exists
Description, README, language, license, and public repository signals.
- 02
Separate fact from guess
Every result is marked Observed, Inferred, or Hypothesis.
- 03
Name the sponsor
Not everyone who benefits has the same pain, urgency, or budget.
- 04
Validate before building
The best next feature is often a benchmark, interview, or narrow paid pilot.
Your repository is already saying something.