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⭐4.4M influencer listings 🏢50.9K sponsor listings 🌍68.8B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.8M Bluesky creators 🎙️1.2M podcast creators 🟣805.4K Twitch creators 🐘158.5K Mastodon creators 🥊104.2K Kick creators ▶️83.1K YouTube creators 𝕏80K X creators 📈72.4K Pinterest creators ✈️56.1K Telegram creators 🎵35.5K TikTok creators 🎮8.3K Discord creators 🎬4.1K Rumble creators 📈2.2K Substack creators 🧵1.6K Threads creators ⭐4.4M influencer listings 🏢50.9K sponsor listings 🌍68.8B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.8M Bluesky creators 🎙️1.2M podcast creators 🟣805.4K Twitch creators 🐘158.5K Mastodon creators 🥊104.2K Kick creators ▶️83.1K YouTube creators 𝕏80K X creators 📈72.4K Pinterest creators ✈️56.1K Telegram creators 🎵35.5K TikTok creators 🎮8.3K Discord creators 🎬4.1K Rumble creators 📈2.2K Substack creators 🧵1.6K Threads creators
Stanford NLP Group

Stanford NLP Group✓

X @stanfordnlp
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Followers
191K
Posts
15.7K
Following
354
Account age
16 yrs
🎁 Free analysisfor Stanford NLP Group
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

A 2023 update of the CS224N Natural Language Processing with Deep Learning YouTube playlist is now available with new lectures on pretrained models, prompting, RLHF, natural language and code generation, linguistics, interpretability and more. #NLProc https://t.co/6hb0EIaR5Z 214.3K views A 2023 update of the CS224N Natural Language Processing with Deep Learning YouTube playlist is now available with new lectures on pretrained models, prompting, RLHF, natural language and code generation, linguistics, interpretability and more. #NLProc https://t.co/6hb0EIaR5Z An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at @Stanford, covering 3 eras of LLMs, RAG, Agents, DeepSeek-R1, using LLMs, …. 74.3K views An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at @Stanford, covering 3 eras of LLMs, RAG, Agents, DeepSeek-R1, using LLMs, …. “Look ma, no RL!” @tatsu_hashimoto gave a great talk at the @StanfordAILab faculty lunch on Friday 2025-03-14 on his work exploring the simplest way to achieve o1/R1-like test-time scaling. s1 shows you can do it with just supervised fine-tuning (SFT)! https://t.co/o9X4gK3KzS 56.3K views “Look ma, no RL!” @tatsu_hashimoto gave a great talk at the @StanfordAILab faculty lunch on Friday 2025-03-14 on his work exploring the simplest way to achieve o1/R1-like test-time scaling. s1 shows you can do it with just supervised fine-tuning (SFT)! https://t.co/o9X4gK3KzS

📊 Post performance

201.9K
Avg views / post
1.1×
Reach vs followers
Feb 2010
On X since

🔥 Top post: The final admission that the 2023 strategy of OpenAI, Anthropic, · 310.9K views

📊 Activity & format

Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 video · 12 image · 6 text.
Follower / following
540×
Follows 354 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.

Recent posts

View on X ↗
🔥 Top post The final admission that the 2023 strategy of OpenAI, Anthropic, etc. (“simply scaling up model size, data, compute, and dollars spent will get us to AGI/ASI”) is no longer working! 310.9K❤ 1.3K🔁 163
Want to learn the engineering details of building state-of-the-art Large Language Models (LLMs)? Not finding much info in @OpenAI’s non-technical reports? @percyliang and @tatsu_hashimoto are here to help with CS336: Language Modeling fr… 201.9K❤ 1.1K🔁 165 “Look ma, no RL!” @tatsu_hashimoto gave a great talk at the @StanfordAILab faculty lunch on Friday 2025-03-14 on his work exploring the simplest way to achieve o1/R1-like test-time scaling. s1 shows you can do it with just supervised fine… 56.3K❤ 530🔁 65 An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at @Stanford, covering 3 eras of LLMs, RA… 74.3K❤ 829🔁 161 A 2023 update of the CS224N Natural Language Processing with Deep Learning YouTube playlist is now available with new lectures on pretrained models, prompting, RLHF, natural language and code generation, linguistics, interpretability and m… 214.3K❤ 1.2K🔁 271 We’re not quite convinced that this sort of on-demand learning actually works to build a foundation in a subject … 277K❤ 612🔁 84 Announcing Stanza v1.0.0, the new packaging of our Python #NLProc library for many human languages (now including mainland Chinese), greatly improved and including NER. Documentation https://t.co/Lm2WdAddTz Github https://t.co/UyC24Qu5P3 P… ❤ 616🔁 254 Stanford CS224N: Natural Language Processing with Deep Learning is back for 2020, starting Jan 7, with over 500 students enrolled: https://t.co/vDX5jnYlUa #cs224n ❤ 754🔁 169 Yes, @GoogleAI (well, all of @AlphabetINC) produces a lot of awesome AI research, but @Stanford + @MIT together produce more (judging by @NeurIPSConf papers!), and @Stanford + @MIT + @UCBerkeley + @CarnegieMellon produces more than @Alphab… ❤ 879🔁 266 “Google & DeepMind have hired 23 professors, Amazon 17, Microsoft 13, and Uber, Nvidia & Facebook 7 each. Tech companies disagree that they are plundering academia. A Google spokesman said the company was an enthusiastic supporter … ❤ 520🔁 214 Our new-ish, neural, pure Python stanfordnlp package provides grammatical analyses of sentences in over 50 human languages! https://t.co/p6MhHyHLC2 Version 0.2.0 brought sensibly small model sizes and an improved lemmatizer. Try it out: pi… ❤ 1.8K🔁 676 CS224N Natural Language Processing with Deep Learning 2019 @Stanford course videos by @chrmanning, @abigail_e_see & guests are now mostly available (16 of 20). Big update from 2017. YouTube playlist: https://t.co/gFwwXJqYuQ – new CS224… ❤ 1.8K🔁 633

💡 Facts

🗓️Joined X in 2010 — 16 years ago.
👁️Averages 201.9K views per post.
📤Posts about 0× per week.
💬0.65% engagement rate.
🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated
69/100
Good Credibility score
85%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 85% real, active audience · Low fake-follower risk.
  • Engagement (~1.1× of followers engage each post) is around typical for X.
  • Organic base — far more followers than accounts it follows.
  • Verified account.
  • Established account (16+ years old).
  • 0.65% engagement — below the ~14.4% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Natural Language Processing/Machine Learning @chrmanning @jurafsky @percyliang @ChrisGPotts @tatsu_hashimoto @MonicaSLam @Diyi_Yang @YejinChoinka @StanfordAILab

📸 Gallery

“Look ma, no RL!” @tatsu_hashimoto gave a great talk at the @StanfordAILab faculty lunch on Friday 2025-03-14 on his work exploring the simplest way to achieve o1/R1-like test-time scaling. s1 shows you can do it with just supervised fine-tuning (SFT)! https://t.co/o9X4gK3KzS An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at @Stanford, covering 3 eras of LLMs, RAG, Agents, DeepSeek-R1, using LLMs, …. A 2023 update of the CS224N Natural Language Processing with Deep Learning YouTube playlist is now available with new lectures on pretrained models, prompting, RLHF, natural language and code generation, linguistics, interpretability and more. #NLProc https://t.co/6hb0EIaR5Z Announcing Stanza v1.0.0, the new packaging of our Python #NLProc library for many human languages (now including mainland Chinese), greatly improved and including NER. Documentation https://t.co/Lm2WdAddTz Github https://t.co/UyC24Qu5P3 PyPI https://t.co/fOtAHoeFLo (or conda) Stanford CS224N: Natural Language Processing with Deep Learning is back for 2020, starting Jan 7, with over 500 students enrolled: https://t.co/vDX5jnYlUa #cs224n Yes, @GoogleAI (well, all of @AlphabetINC) produces a lot of awesome AI research, but @Stanford + @MIT together produce more (judging by @NeurIPSConf papers!), and @Stanford + @MIT + @UCBerkeley + @CarnegieMellon produces more than @AlphabetINC + @Microsoft + @facebook Our new-ish, neural, pure Python stanfordnlp package provides grammatical analyses of sentences in over 50 human languages! https://t.co/p6MhHyHLC2 Version 0.2.0 brought sensibly small model sizes and an improved lemmatizer. Try it out: pip install stanfordnlp CS224N Natural Language Processing with Deep Learning 2019 @Stanford course videos by @chrmanning, @abigail_e_see & guests are now mostly available (16 of 20). Big update from 2017. YouTube playlist: https://t.co/gFwwXJqYuQ – new CS224N online hub: https://t.co/HTnMzCAjS3 #NLProc

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

TL VISA FRTTT TL VISA FRTTT 18% Charles P. Pierce Charles P. Pierce 18% Paolo Nutini Paolo Nutini 17% bobby mares bobby mares 13% Zwag Zwag 11% SOUZA SOUZA 10%

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