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Small DataBook

by Martin Lindstrom

Who uses, recommends or left Small Data, in their own words: each a verbatim quote with a link to where it was said.

1 person

Eli Schwartz
SEO consultant and author of Product-Led SEO; has run search strategy for Zapier, Tinder, Coinbase, Quora and LinkedIn.
recommended

there's a book called small data by I think Martin Lindstrom pronouncing his name right where he talks about understanding people and understanding how people buy and digs into that entire process he actually goes and lives in people's houses and watch how they use different tools and toys found always find that book to be fascinating recommend to people who want to understand users

Lenny's Podcast, "Rethinking SEO in the age of AI", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).

2024-09-19·youtube.com ↗

Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.

The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.

A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.

The shading behind a date shows how dated a recommendation is for its kind of thing.

The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.

What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:

Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.