#qwen36
Live, measured metrics for the hashtag #qwen36 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #qwen36
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 00:36 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-30 00:36 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 00:36 UTCEverything below is measured over the latest 30 public posts (spanning ~6274 hours).
Posting hours (UTC) — busiest: 13:00
Languages: Russian (14) · English (13) · German (1) · French (1) · Turkish (1)
Avg boosts / post: 0.7
Top of the latest posts
This week's trendy LLM is QWEN3.6. It's small enough to run at home, so I downloaded a copy and asked it about the bubble universe. 13 CPU hours later*, it told me some things. Pretty good analysis for a machine with no eyes. https://gist.g
#Fastmail has now an #mcp server. If you use with #qwen36 locally, you got yourself a fully private access to your emails. Benefits of ai without snooping. 😅 So no #Google or ai vendor training on your data. 😎 https://www.fastmail.com/blo
Agentic AI -> Bash Interview: 🧐 > What does printf '%d\n' \'\a (backslash quote backslash a) return? 🤖 > 0 ❌ -> (fAIl) STFM -> Scrap The Funny Manual. Note: UnslothAI's Qwen3.6 35B-A3B UD Q4_K_XL quantized model runs fine (relatively spea
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/qwen36