#productionml

Live, measured metrics for the hashtag #productionml from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #productionml

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.

$5.00/ year · 12-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
21
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 21
0.3
Avg reactions / post
Mastodon · last 21

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:12 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 11:12 UTC

No related tags with measured usage found for #productionml.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:12 UTC

Everything below is measured over the latest 21 public posts (spanning ~25963 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (20) · Russian (1)

Avg boosts / post: 0.6

Top of the latest posts

  • 🧠 Everyone else: <LLM Experts, producing multi-modal Gen AI systems. > 🤓 Me: <Still troubleshooting that lambda function to calculate Euclidean distance of lat/long columns in Polars Dataframe for a sample project in Colab. > 😅 ----- #da

    Mikiko@[email protected]♥ 3↻ 12023-04-10 15:00 UTCView post →

  • 😳 My talk proposal to the #mlops track was accepted to #DataCouncilAustin 2023 🤯 🎉 What an exciting way to start the year! 😃 Looking forward to connecting with folks in Austin from March 28-30th on #mlops #productionml #mlengineering #p

    Mikiko@[email protected]♥ 1↻ 12023-01-05 05:34 UTCView post →

  • A few weeks ago a couple of us met to talk about the challenges of production ML. Twitter space included a group of data scientist, engineers, MLOps engineers, and DevRels. I summarized the discussion & clipped out relevant parts of the aud

    Mikiko@[email protected]♥ 1↻ 42022-12-19 19:32 UTCView post →

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/productionml