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Data partnership guide

How to Get Value From a Shut-Down Startup's Codebase and Records

By the Momentra data partnerships team · Updated

Short answer

A shut-down startup can get value from its codebase and records through an AI data partnership, because the full history of building a product is useful for training coding and workflow agents. Export repositories and tools with full history before cancelling accounts, confirm who controls the company's IP, and leave customer data out.

  • ✓Closing accounts to stop bills is the most common way this value is lost.
  • ✓The company, not the founders, usually owns the IP, and a liquidator may control it in a formal wind-down.
  • ✓Starting with engineering history rather than production databases keeps privacy risk lower.
  • ✓Purchase can suit a closing company because it does not require an ongoing relationship.

When a startup closes, its code and records usually sit untouched in a cloud account until someone deletes them. But the full history of building a product, from early plans to the final release, is the kind of material AI developers find useful. This guide covers what to check, what to keep, and how to approach a data partnership during a wind-down.

Why a closed product's history can still be useful

A product that did not survive commercially still went through real engineering. Founders wrote requirements, engineers argued about architecture, bugs were filed and fixed, features were shipped and then rewritten. That whole arc is recorded across the code repository, the issue tracker, design docs and team chat.

For AI developers training coding and workflow agents, the value lies in that complete story. A private repository is valuable beyond its source code: historical PRDs, planning documents, commit history, issues, code reviews, tests and release records together show how software was actually planned and built. The commercial outcome of the company does not erase that.

Startups also tend to work in modern stacks, move quickly and document decisions in tools like Linear, Notion and Slack, which means their history can be unusually detailed. A two or three year record of a small team building, launching and iterating on a product is a compact example of how real software gets made.

Act before anything is deleted

The most common way this value is lost is simple: accounts are closed to stop the bills, and the data goes with them. If you are winding down, make a deliberate decision about your archives before cancelling services.

  • Export code repositories with full history, not just the latest snapshot, along with issues, pull requests and review comments where your host allows.
  • Export project-management tools such as Jira or Linear, keeping links between tickets and code where possible.
  • Save documentation spaces such as Notion, Confluence or Google Drive folders containing PRDs and design docs.
  • Decide carefully about chat and email exports, which often contain more personal information and may need tighter scoping.
  • Store everything securely with restricted access, and keep a list of what you exported and from where.

Sort out who owns what

In a shutdown, ownership questions get more complicated. The company may be in liquidation, its assets may be under the control of a liquidator or administrator, investors may have rights, and the IP may already be committed to an acquirer or a lender. Code built for a client may belong to that client. Open-source dependencies come with their own licence terms.

Before any partnership discussion goes far, confirm who has authority to make decisions about the company's assets and whether the IP is free to license or sell. This is general information, not legal advice; please consult a qualified lawyer, and involve whoever is formally managing the wind-down.

Think about the people in the data

Former employees, customers and users appear throughout a startup's records: in commit authorship, ticket comments, support conversations and databases. Privacy obligations do not disappear because the company is closing. Production databases with customer data are usually best excluded unless there is a clear legal basis and thorough de-identification.

In a Momentra partnership, professional anonymization with purpose-built tools is used to detect, remove or replace sensitive information, such as names, emails, credentials and customer details, before further use. Your side still decides what goes in scope, and it is sensible to start with engineering history rather than customer records.

Agree internally before you approach anyone

Shutdowns are stressful, and disagreements between founders, investors and remaining staff are common. A data partnership adds one more decision, so it is worth getting alignment early rather than discovering objections halfway through a negotiation.

Talk with your co-founders and board, or whoever has authority under your company documents, about whether to pursue the idea at all, which archives you are comfortable including, and how any proceeds would be handled as part of the wind-down. If former employees wrote much of the code, consider whether any of them have a reasonable expectation of being informed, even if they have no legal say. Clear internal agreement also makes the external process quicker, because scope decisions can be made without repeated back and forth.

How the process works during a wind-down

The process is the same as for any company, though timelines may matter more. First contact needs only contact, company, industry and interests, so you can start the conversation before exports are finished. The initial value assessment looks at data type, completeness, scarcity and the tasks it could support. Then, before any sample is reviewed, an NDA sets confidentiality, permitted use, retention and security.

If there is a fit, Momentra provides a purchase proposal and contract, then supports de-identification and secure transfer. Purchasing can be a practical model for a company that is closing, since it does not require an ongoing relationship, but licensing or a custom arrangement may also be possible. Whichever model is chosen, the terms are set by the signed agreement.

Setting realistic expectations

Not every codebase will be a good fit. Very short histories, repositories with little beyond boilerplate, or projects where the surrounding tickets and docs were never kept tend to be less useful. Long-running projects with linked issues, reviews and tests, and those in specialised domains, tend to be more interesting. An honest assessment early on saves everyone time.

It is also worth separating the data question from the wider wind-down. A data partnership is one possible source of value among others, such as selling the product, the domain or the customer list where permitted. Treat it as one option to assess on its merits, not as something that has to work out, and avoid letting a hoped-for deal delay decisions the company needs to make anyway.

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Frequently asked questions

We have already shut down. Is it too late?
Not if the data still exists and someone has authority to deal with it. Check whether repositories and tools can still be exported, and confirm who now controls the company's assets.
Can founders sell the code personally?
Usually the company, not the founders, owns the IP, and in a formal wind-down a liquidator may control it. Get legal advice before assuming you can act personally.
Should we include our production database?
Generally it is best to start with engineering history and leave out customer data. Including personal data needs a clear legal basis and thorough de-identification.

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