#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.
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.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-20 22:14 UTC0 uses by 0 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 2026-10-20 22:14 UTCNo related tags with measured usage found for #productionml.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-20 22:14 UTCEverything below is measured over the latest 22 public posts (spanning ~33313 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (21) · Russian (1)
Avg boosts / post: 0.5
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
The Architecture Decisions CAIOs Cannot Delegate to Engineering Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scale
AI Governance and Risk Management@hernanhuwyler.wordpress.com@hernanhuwyler.wordpress.com♥ 0↻ 12026-09-11 20:06 UTCView post →Как мы адаптировали LLM для русского языка Как мы потратили 2 месяца на адаптацию Qwen3-0.6B для русского языка. Написали систему с нуля на основе 8 научных статей из arXiv. Исправили 6 критических багов (от NaN в fp16 до архитектурных проб
#productionml across platforms
every network with a public tag surfaceFollow #productionml 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/productionml