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DeepSeekSoftware

by DeepSeek

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

2 people

Armin Ronacher
Creator of Flask and Jinja2; writes about software and AI tooling at lucumr.pocoo.org.
loved

You gotta love Deepseek. This is awesome stuff! https://github.com/deepseek-ai/DeepInfer

2026-10-20·x.com ↗

Ethan Mollick
Professor at the Wharton School of the University of Pennsylvania who studies AI and innovation; writes the One Useful Thing newsletter.
liked

if you want a very good all-around model with excellent reasoning. As an open model, you can either use it hosted on the original Chinese DeepSeek site or from a number of local providers.

An earlier edition of his opinionated guide to choosing an AI assistant; he notes he takes no money from AI labs.

2025-01-26·oneusefulthing.org ↗

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.