#оптимизация_под_llm
Live, measured metrics for the hashtag #оптимизация_под_llm from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #оптимизация_под_llm
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 2026-08-22 22:00 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 2026-08-22 22:00 UTCNo related tags with measured usage found for #оптимизация_под_llm.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 22:00 UTCEverything below is measured over the latest 2 public posts (spanning ~7089 hours).
Posting hours (UTC)
Languages: Russian (2)
Avg boosts / post: 0
Top of the latest posts
Как заставить нейронку рекомендовать мои услуги: советы по GEO Клиент пишет в Алиса AI: «Порекомендуй толкового дизайнера упаковки в Москве с опытом от 3 лет и бюджетом до 100 тысяч рублей». Нейросеть генерирует таблицу из трех агентств, ук
Пишем под ИИ: как оптимизировать статьи под нейросетевой пересказ (и почему это теперь критично) В наши дни скорость обработки информации решает всё. Использование LLM(GPT, DeepSeek, Perplexity, Qwen и др.) для быстрого пересказа статей, ис
What “оптимизация_под_llm” means
WikipediaA large language model (LLM) is an AI model trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable.
“Large language model” on Wikipedia (CC BY-SA) →#оптимизация_под_llm across platforms
every network with a public tag surfaceFollow #оптимизация_под_llm 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/оптимизация_под_llm