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Shipping velocity is directly proportional to data structure quality, especially in the age where UI can be increasingly treated as an ephemeral asset.
More practically, this includes:
- the type of store you use e.g. relational, graph etc.
- the way you structure your data into entities and relationships
- the way you capture information for e.g. you might want to store a status as a boolean (e.g. is_disabled) or you could choose to infer this info from a timestamp (e.g. disabled_at), both have pros and cons
- the way you connect cross-platform datasets e.g. database, storage, logs, etc.
- the way you structure your API, construct queries and consume data
Being data-first is a cheat code to increasing your shipping velocity. Bad data decisions can be extremely painful to undo and when you start to see them clearly, you can never go back.

5.7.2025
the more i design/build, the more i realize:
the wrong data structure is like a receding hairline.
you're cooked. trying to cover it up makes it even worse
spoke to other founders who agreed that data structure is the ceo's job.
every engineer knows to avoid migrations when possible.
an easy place to fuck ui is the account table.
this takes scaled companies +6mo to fix.
almost sure ramp/linear ship fast because they made fewer mistakes here.
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