Recommendations you can check.
Who uses, recommends or left pi, in their own words: each a verbatim quote with a link to where it was said.
2 people
The verdict: pi plus a basic searxng skill outperformed Local Deep Research. Also, pi is just much more configurable: I can easily just tell it to use not just internet searches, but also my own world_knowledge directory.
His write-up of the local-first, privacy-hardened LLM setup he actually runs — hardware, models, agent tooling and sandboxing.
2026-04-02·vitalik.eth.limo ↗
For my local setup, I'm currently using Pi as the agent harness and LM Studio as the inference server
'Running local models is good now' — the local models and harnesses she runs on an M2 Mac.
2026-06-15·vickiboykis.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.