#ollama
Live, measured metrics for the hashtag #ollama from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ollama
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 · mas.to (Mastodon public tags API) · fetched 2026-09-09 01:26 UTC13 uses by 13 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-09 01:26 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-09 01:26 UTCEverything below is measured over the latest 40 public posts (spanning ~332 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (20) · Russian (13) · French (1) · Polish (1) · Danish (1) · German (1)
Avg boosts / post: 0.8
Top of the latest posts
Seems like #Ollama enshitified quite rapidly after its sucessful early years. https://sleepingrobots.com/dreams/stop-using-ollama/
Since I lost Perplexity, I've been using MS #Copilot (via my school's MS365 subscription) and it's so clunky. I've scrolled and copied and pasted a ton until I finally got what I wanted: #Ollama installed > pulling Mistral & DeepSeek > inst
Are there any _torrents_ of open weight LLMs? Can't find any, but it'd seem strange to me if centralized #HuggingFace, #Ollama & Co. were the only download sources. Am I missing anything? Nevermind: Found https://www.llmtorrents.com/models?
What “ollama” means
WikipediaOllama is an open-source software platform developed by Jeffrey Morgan and Michael Chiang in 2023 for running and managing large language models on local computers and through hosted cloud models. It provides a command-line interface, a native GUI, a local REST API, model-management tools, and integrations for using open-weight models with coding assistants and other applications.
“Ollama” on Wikipedia (CC BY-SA) →#ollama across platforms
every network with a public tag surfaceFollow #ollama straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/ollama