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Noticed this as well
The wrong data model means you’ve potentially the set back the eng team 1-2 mos
Esp today where it’s very easy to spit out bad data designs quickly with llms

7.7.2025
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.
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