#qwen3coder
Live, measured metrics for the hashtag #qwen3coder from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #qwen3coder
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:53 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 2026-07-27 07:53 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:53 UTCEverything below is measured over the latest 13 public posts (spanning ~7660 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (8) · Russian (3) · German (1)
Avg boosts / post: 0.2
Top of the latest posts
Got #qwen3coder 30B #LLM to work on #Framework Desktop. I tested it with e.g. "Write an Angular login page to oauth idp server. Use best practices. use HttpOnly cookies." and few others. It thinks few seconds and writes the code about in 30
Been using #AI (#Claude, #GPT5, #qwen3coder, and a few others) to help me write #code lately and I wanted to send a suggestion to #Anthropic but they have no feedback form on their website! I even *asked Claude* how to send Anthropic feedba
Yashi Srivastava (@yassriva) VS Code에서 Continue 확장을 사용해 로컬 모델을 돌리고 있으며, 백엔드는 Ollama라고 설명했다. 현재 설정에서는 qwen3-coder:30b를 사용 중이라고 밝혀, 로컬 코딩 에이전트/LLM 개발 환경 구성 사례로 참고할 만하다. https://x.com/yassriva/status/2063600985747112367 #vscode #continue #olla
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/qwen3coder