Remember that blockchain data stamping machine I told you about? The one that lets us stamp documents on the Base chain in seconds, without the headache?

Well, putting data on the chain is only half the battle. The other half is getting it back off in a way that actually makes sense to a human.

If you look at raw blockchain data, it’s usually just a desert of hash strings and transaction IDs. It’s dry. It’s boring. And unless you’re a computer, it’s not very useful.

That’s why I built Rehydrator.

We’re constantly being asked the big question: “How can customers still verify their data even if Chainletter no longer exists?”

This is the answer.

Most tools just show you the transaction hash and call it a day. We wanted something that actually reconstructs the history. Rehydrator is a utility that scans the Base blockchain for your stamping events and “rehydrates” them back into the actual files you care about.

It connects to the chain, identifies the content identifiers (CIDs), and automatically pulls the files down from IPFS (the InterPlanetary File System)—giving you a full local replica of all the data you ever stamped to your collection.

It also generates a handy Excel file showing you all the blockchain timestamps for your files. You can use this as proof completely independently of us (Chainletter), since anybody can download the block for themselves and verify it.

We even added a “Full Mode” for the power users. It doesn’t just grab the main file; it opens it up, looks for other nested files referenced inside, and downloads those too. It handles all the annoying technical stuff—like retry logic, rate limiting, and connection management—so you don’t have to.

It’s a one-shot tool we used to verify our own work, but in the spirit of keeping things transparent and simple, I’ve tossed the code up on GitHub.

If you want to see how we turn dry blockchain events back into rich content (or just want to fork it for your own project), have at it.

👉 Get the Code on GitHub: https://github.com/NTBooks/Rehydrator