SeekamiAI KOLs on X: Published Ranks and Research Categories
Use this published AI KOL list to find work worth reading, not as a promise that the people listed accept sponsorship. Rank, professional visibility and fit for a particular product partnership are different questions.
Use the list for a defined reading task
| Task | Inspect first | Next step |
|---|---|---|
| Understand research | Original work, public projects and depth | Read the profile and source material |
| Learn a tool | Recent walkthroughs and their conditions | Record useful teaching methods |
| Follow industry change | Sources, dates and later corrections | Compare multiple sources |
| Research a partnership | Actual work, business routes and discussion | Evaluate separately rather than selecting by rank |
This update does not recalculate the source ranking or add unverified biographies. The original snapshot date and scope remain applicable; an editorial update date is not a live data refresh.
Choose the related list for its reading purpose
For a learning-oriented follow list, use the AI creator reading guide. For research, product and communication signals, use the AI information-source guide. They are not two additional real-time rankings.
Before planning promotion, return to the partnership analysis checklist. Do not assume that listed professionals are available advertising placements.
How the Seekami ranking works
Seekami's published ranking is not a follower leaderboard. It combines four groups of public signals:
| Signal | What it measures |
|---|---|
| Industry network coverage | Relevant AI researchers, developers, founders, organizations, media, and investors connected to the account |
| Network authority | The quality and industry position of those connections |
| Public reach | The account's ability to carry ideas through public conversations on X |
| Recent engagement | Public engagement on original and quoted posts over the latest measured period |
The ranking answers who has influence inside the AI industry network. It does not claim that an account accepts sponsorships, endorses Seekami, or is the right partner for every campaign.
Seekami Top 20 AI influencers
| Top 20 | Overall Seekami rank | Person | X account | Useful context for AI product teams |
|---|---|---|---|---|
| 1 | #1 | Sam Altman | @sama | AI products, companies, and industry direction |
| 2 | #3 | Andrej Karpathy | @karpathy | AI education, LLMs, and developer narratives |
| 3 | #4 | Andrew Ng | @AndrewYNg | AI education, entrepreneurship, and enterprise adoption |
| 4 | #7 | Demis Hassabis | @demishassabis | Frontier research, foundation models, and AI for science |
| 5 | #8 | Ilya Sutskever | @ilyasut | Foundation models, research direction, and AI safety |
| 6 | #10 | Elon Musk | @elonmusk | AI, platforms, and mass-market technology narratives |
| 7 | #11 | Greg Brockman | @gdb | AI products, engineering, and company updates |
| 8 | #12 | Fei-Fei Li | @drfeifei | Computer vision, spatial intelligence, and public value |
| 9 | #13 | Geoffrey Hinton | @geoffreyhinton | Deep learning, technical risk, and public debate |
| 10 | #14 | Jeff Dean | @JeffDean | Large-scale systems, research organizations, and model progress |
| 11 | #15 | François Chollet | @fchollet | Keras, reasoning, and AGI evaluation |
| 12 | #16 | Yann LeCun | @ylecun | Machine learning research and competing technical approaches |
| 13 | #18 | Mira Murati | @miramurati | AI product leadership and startup activity |
| 14 | #19 | David Ha | @hardmaru | Generative models, open research, and new AI labs |
| 15 | #20 | Ian Goodfellow | @goodfellow_ian | Deep learning, generative models, and research trends |
| 16 | #21 | Lilian Weng | @lilianweng | AI research and high-density technical writing |
| 17 | #22 | Jim Fan | @DrJimFan | Robotics, embodied AI, and developer communication |
| 18 | #23 | Soumith Chintala | @soumithchintala | PyTorch, AI infrastructure, and open source |
| 19 | #24 | John Carmack | @ID_AA_Carmack | Engineering, AGI startups, and developer viewpoints |
| 20 | #26 | Clément Delangue | @ClementDelangue | Hugging Face, open models, and the AI ecosystem |
Choose by objective, not rank alone
For developer audiences, start with Andrej Karpathy, François Chollet, Lilian Weng, Jim Fan, Soumith Chintala, and John Carmack. Their work is closer to models, engineering, open source, and practical development.
For product and founder context, study Sam Altman, Andrew Ng, Mira Murati, David Ha, and Clément Delangue. For research and industry direction, Demis Hassabis, Ilya Sutskever, Fei-Fei Li, Geoffrey Hinton, Yann LeCun, and Jeff Dean provide stronger strategic signals.
High influence does not automatically mean sponsorship fit. Treat influence, content relevance, partnership intent, and contactability as separate questions.
Turn the ranking into a working shortlist
- Review the creator's latest 30 to 90 days of posts.
- Save specific evidence that matches your product and audience.
- Separate industry influence from commercial availability.
- Use only public, verifiable business contact routes.
- Define deliverables and usage rights before comparing quotes.
Tool suggestion: Open a creator's X profile with Seekami to review available ranking context, industry connections, partnership signals, public contact routes, pricing evidence, and similar creators.
Data note
This page uses Seekami's formal ranking snapshot published on published . It is not a live follower leaderboard, a sponsorship recommendation, or evidence of endorsement. Roles, activity, and ranking positions can change as public data and industry connections evolve.
Related guides: Find AI influencers on X · Evaluate industry influence · Build a creator shortlist.
When researching an X profile, Seekami can surface currently available industry context, similar creators and partnership leads for the next step. Check coverage, dates and permissions; review work and confirm terms directly.