For the love of god I just want the LLM
Squint is a tiny, native Mac menu-bar app that puts the LLM of your choice — cloud or local — one keystroke away from any text on your screen. What it does Squint sends the text you select in any app to an LLM and shows the response in a small panel at your cursor. It can explain the selection, answer a question you ask about it, or take a question with nothing selected.
- ▪Squint is a tiny, native Mac menu-bar app that puts the LLM of your choice — cloud or local — one keystroke away from any text on your screen.
- ▪What it does Squint sends the text you select in any app to an LLM and shows the response in a small panel at your cursor.
- ▪It can explain the selection, answer a question you ask about it, or take a question with nothing selected.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,999 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/ZsoltTanko/squint |
| Publication time | Wed, 30 Sep 2026 12:36:38 +0000 |
| Retrieval time | 2026-09-30T12:47:01.516Z |
| Last seen | 2026-09-30T12:47:01.516Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 6YMqhWzwzuPH · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Squint Select any text. Press ⌥ Space. Get it. Squint is a tiny, native Mac menu-bar app that puts the LLM of your choice — cloud or local — one keystroke away from any text on your screen. No copy-paste. No chat tab. No losing your place. What it does Squint sends the text you select in any app to an LLM and shows the response in a small panel at your cursor. It can explain the selection, answer a question you ask about it, or take a question with nothing selected. Ask your own question.Select a term, press ⌥ ⇧ Space, and ask whatever you want to know about it. Read any language.Select a paragraph in any language and get it back in plain English. Cut through jargon.Contracts, papers, specs, filings: the one sentence you're stuck on, in plain words. Or just ask.No selection needed.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.