Sell your data
How it worksSell existing recordsData farmingIndustries
Company
For buyersAboutQuestionsContactSoftware product companies & startups
From the first design to support tickets and churn experiments, your records show how real software products are built and grown. AI companies pay for exactly that.
No code to upload. No commitment to sell.
Typical ranges, not a promise. The real amount depends on your records and the contract.
What buyers pay for
Public code shows the final result. Buyers want the path that led there, across every tool.
What is worth most
A guide to what buyers value, not a price list. Ownership, licences and secrets decide what can be offered.
Connected data
Buyers want many kinds of linked records: any work that can be followed across your tools, from the first signal to a proven result.
Customer reported that CSV exports dropped rows with non-ASCII names
Encoding fix plus a failing test; reviewer asked to cover streaming too
Tests red → green, released, customer told
New trial users dropped off in their first week
Interviews, a redesigned first-run flow, tested against the old one
More users finished setup and stayed
A competitor launched a feature customers kept asking about
Compared options, agreed a different approach, moved it up the roadmap
Shipped and announced; sales calls tracked the response
What stays private
Keys and tokens are scanned for across the whole history and removed
Names, emails and account details are removed or replaced with fake values
Stays out unless the client agrees
Checked against its licence and usually left out
Names are replaced with codes, and still treated as personal data
Leave out any product, folder or period; known open vulnerabilities stay out
Your records. Your choice. An AI check flags risks, people review them, and nothing is shared until you approve it.
How we protect your informationTwo ways to earn
Two separate offers. Choose one, both or neither.
Illustration, not a forecast. Yearly payments apply only if your contract says so.
We call this Data Farming: keeping better records of work you already do, so there is more to sell each year.
Small process changes, better-set-up tools or a few extra tools that capture more mean even more money every year
How it works
Which teams and tools you use, and what you own
An estimate within one week, with nothing shared
Secret, licence and privacy checks, with people reviewing the results
A written offer. Nothing leaves until you approve it
An honest check
Only the repositories, time range and scope you approve. Delivery terms, permitted uses and any restrictions on redistribution are set in the agreement before anything is prepared.
Only where your contracts give you the right to. Client-owned code is excluded unless the client agrees. We help map which repositories are yours to offer.
You choose the scope, and we can exclude repositories, paths or periods. Removing names alone cannot prevent every possible disclosure, so we agree recipients and uses up front.
Not necessarily. We scan the full history and remove what we find from the prepared output; you should rotate anything exposed. A repository that cannot be cleaned reliably may be left out.
Third-party code is checked against its licence and is usually excluded. Your own code around it may still be in scope.
Yes. Those are often the most useful part, because they show why work was done and whether it helped. Customer names and contact details are removed first, and you approve the scope.
Preliminary valuation within one week.