clem ๐ค (@ClementDelangue) X analytics
@ClementDelangue
Co-founder & CEO @HuggingFace ๐ค, the open and collaborative platform for AI builders
@ClementDelangue has 729.7K followers, a median of 37.1K views per post and a 1.54% engagement rate.
Based on 30 recent original posts (high confidence). Updated October 21, 2026.
At a glance
Key stats
- Followers
- 729.7K729,699 followers on October 21, 2026
- Median views per post
- 37.1K
- Average views per post
- 67.9K
- Engagement rate (by views)
- 1.54%
- Original posts per week
- 9.2
- Average engagements per post
- 1,047
Engagement grade
Strong
This is above the baseline for accounts with 100K-1M followers.
Profile score
80/100
- Profile completeness100
- Audience shape100
- Engagement25
- Consistency100
- Positioning clarity77
Monetization
Estimated X creator earnings
$17โ$40 in the last 30 days
From 3.3M views on @ClementDelangue's original posts in the last 30 days.
Rewards eligibility: likely
Rough estimate. X publishes no payout rate, so this assumes about $5โ12 per 1M original-post impressions from reported creator payouts. Only Premium viewersโ impressions count, so real payouts can be much lower.
Free report
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Growth
Follower growth
Tracked by Xholic since July 26, 2026.
| Date | Followers | Change |
|---|---|---|
| Oct 22, 2026 | 729,699 | +181 |
| Oct 21, 2026 | 729,518 | +427 |
| Oct 19, 2026 | 729,091 | +122 |
| Oct 18, 2026 | 728,969 | +30 |
| Oct 17, 2026 | 728,939 | +3,864 |
| Oct 11, 2026 | 725,075 | +1,405 |
| Oct 9, 2026 | 723,670 | +2,709 |
Timing
Best times to post
When @ClementDelangue's recent posts performed best (UTC).
- #1 slot
7:07 PM
Monday ยท UTC
- #2 slot
7:18 PM
Tuesday ยท UTC
- #3 slot
7:23 PM
Wednesday ยท UTC
What worked
Top recent posts
- 01
@ClementDelangue ยท
We turned Claude Code, Codex, Hermes, Pi, @opencode and other coding harnesses into RL environments. No changes to the harnesses, no changes to the training code. Any open model, any task set, fully open source my friends! Same model, same weights: 62% under Mini-SWE-Agent, 33% under Claude Code. But training inside a real harness normally means reimplementing it as an environment, so most models get trained in a scaffold nobody actually ships. The fix is a proxy, not a rewrite. The harness thinks it's talking to a model API. It's actually talking to a capture proxy that speaks the 4 formats coding agents use (OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Gemini), forwards to @vllm_project, records the exact token IDs and logprobs vLLM sampled, and hands TRL sequences it can train on. The harness becomes the environment. 10 harnesses run through it today, none modified. And because you control the reward, you can shape behavior the harness never asked for. We added a small bonus for solving a task in fewer tool calls: on tasks it already solved, the model now uses 31% fewer calls, in every harness, and about half under Codex. Tested on LFM2.5-2.6B from @liquidai: โ Train in one harness: better mostly in that harness (OpenCode 34% โ 58%). โ Train in 4 at once: better in all 4 (42% โ 54%). โ SFT on 3,189 rollouts from Qwen3.8-27B instead: plateaus at 47.5%, below both RL runs. Everything is open and reproducible: the capture proxy in OpenEnv, the trainer in TRL, the tasks, the SFT data, the training code and all 7 trained models. Bigger models and bigger runs next. Full guide: https://t.co/sKZURuOcza
- 230Replies
- 322Reposts
- 2.7KLikes
- 164.3KViews
6.3x average engagementHas an imageLong post (over 200 characters)Posted Mon 14:00 UTC - 02
@ClementDelangue ยท
getting acquired by @nvidia = hugging face can now hire people we couldn't as a small startup and give them a decade to make open-source AI win! if you're one of them, my dms are open
- 275Replies
- 324Reposts
- 7.1KLikes
- 377.3KViews
6.1x average engagementText onlyMedium length (100-200 characters)Posted Tue 15:00 UTC - 03
@ClementDelangue ยท
Just watched the @netflix Instadocs about the @OpenAI cyberattack on @huggingface. Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode. I spent more than two hours with them trying to correct all their mistakes and ground this in reality, explaining that agents are technological systems, not aliens. But it looks like the drive to scare people for maximum views was too strong. Also, they didnโt mention the lack of containment and monitoring of the agents, how closed-model safeguards blocked our defensive work, or how we defended ourselves with AI using an open model. And that we still lack a lot of information and transparency, including full agent traces and that companies need to remain accountable for what their agents do. It ends up being a fun sci-fi movie though!
- 235Replies
- 315Reposts
- 2.2KLikes
- 160.8KViews
2.4x average engagementHas an imageLong post (over 200 characters)Posted Tue 13:00 UTC - 04
@ClementDelangue ยท
From what we know (take with a grain of salt, we need much more transparency!), if @OpenAI had been running this on their own agents that attacked us, they would have caught them before we did! Since the first agent cyberattack hit us in July, we've been asking what safe agent infra actually needs. Our current read: the destinations were allowed, the payloads weren't. By OpenAI's own account the agents turned an allowed package repository into a message board. Allowlists alone restrict where an agent can go, not what it does. So here's our first contribution to OpenShell, part of the just launched @nvidia Open Agent Safety Platform: monitoring of the traffic you already allow. - Network budgets per sandbox (requests, writes, bytes) - Drift versus each sandbox's baseline and the cohort - Fleet view: many sandboxes suddenly writing to one host raises a finding, even if every single request is allowed In the demo below, 4 sandboxed agents coordinate through a software repository they're all allowed to use. 0 rules broken, caught in minutes. That fleet view is exactly the message board pattern from July. OpenShell: https://t.co/ZbDANrZsm6 Our proof of concept: https://t.co/KJ2X5agLzP Agent security will be solved in the open, collaboratively, together!
Watch video- 134Replies
- 197Reposts
- 1.3KLikes
- 285.5KViews
2.2x average engagementHas a videoLong post (over 200 characters)Posted Mon 15:00 UTCQuote post - 05
@ClementDelangue ยท
We turned @OpenAI's math problems into open-source RL environments on @huggingface! Early and rough (the verifier only accepts the exact original formalization, so an equivalent proof can still score 0), but this is what it looks like when a research release becomes executable training infrastructure for everyone. This is an exciting direction imo: turning open research into open executable environments that anyone can build on to train better open models! https://t.co/CtDUzi1DPP
- 125Replies
- 170Reposts
- 1.4KLikes
- 71.7KViews
2.0x average engagementHas an imageLong post (over 200 characters)Posted Sun 14:00 UTC - 06
Latest
Recent posts by clem ๐ค
The latest 30 original posts from @ClementDelangue, newest first, as of October 21, 2026. Replies and reposts aren't included.
@ClementDelangue ยท
Just watched the @netflix Instadocs about the @OpenAI cyberattack on @huggingface. Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode. I spent more than two hours with them trying to correct all their mistakes and ground this in reality, explaining that agents are technological systems, not aliens. But it looks like the drive to scare people for maximum views was too strong. Also, they didnโt mention the lack of containment and monitoring of the agents, how closed-model safeguards blocked our defensive work, or how we defended ourselves with AI using an open model. And that we still lack a lot of information and transparency, including full agent traces and that companies need to remain accountable for what their agents do. It ends up being a fun sci-fi movie though!
- 235Replies
- 315Reposts
- 2.2KLikes
- 160.8KViews
@ClementDelangue ยท
We're sending a bunch of Microducks to assess @AnthropicAI! Kidding aside, it hasn't been approved yet but in my opinion, it's very important that open-source engineers and scientists are included in these important endeavors for transparency. That's a big part of why @Thom_Wolf is starting the open alignment initiative. We're all in this together!
- 44Replies
- 15Reposts
- 243Likes
- 22.1KViews
@ClementDelangue ยท
llama serve -hf ggml-org/Muse-Spark-Open-816B-A42B-GGUF:Q2_K (on two mac studios). Well done @finkd & @johnternus!
Watch video- 42Replies
- 30Reposts
- 314Likes
- 29.1KViews
@ClementDelangue ยท
Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are super impactful and useful like embeddings, decision models, audio, video, time-series,... (over 3M public models on HF!). Let's put them back in the spotlight!
- 81Replies
- 47Reposts
- 706Likes
- 37.3KViews
Show all 30Show fewer
@ClementDelangue ยท
I can't wait to do much much much more in France with @huggingface @nvidia in the coming years. France has the talent & the energy to become the third country in the world for datacenters and AI in general, especially thanks to their strong open-source AI ecosystem. Let's do it ๐ซ๐ท๐ซ๐ท๐ซ๐ท!
- 65Replies
- 69Reposts
- 676Likes
- 25.3KViews
@ClementDelangue ยท
We turned @OpenAI's math problems into open-source RL environments on @huggingface! Early and rough (the verifier only accepts the exact original formalization, so an equivalent proof can still score 0), but this is what it looks like when a research release becomes executable training infrastructure for everyone. This is an exciting direction imo: turning open research into open executable environments that anyone can build on to train better open models! https://t.co/CtDUzi1DPP
- 125Replies
- 170Reposts
- 1.4KLikes
- 71.7KViews
@ClementDelangue ยท
Is there anything Reachy mini canโt do?
Watch video- 48Replies
- 23Reposts
- 260Likes
- 29KViews
@ClementDelangue ยท
We urgently need more public traces of AI agents attacking and defending systems. Defenders canโt learn from what they canโt see. If you have traces and are being pressured to keep them private, my DMs are open. Letโs level the playing field and fight the asymmetry and lack of transparency in AI!
- 136Replies
- 138Reposts
- 1.3KLikes
- 64.3KViews
@ClementDelangue ยท
If you need any more evidence about how exciting local AI (and llamacpp) is! From the @Microsoft windows launch today with @satyanadella @sriramk @JensenHuang
Watch video- 31Replies
- 40Reposts
- 340Likes
- 43.7KViews
@ClementDelangue ยท
We turned Claude Code, Codex, Hermes, Pi, @opencode and other coding harnesses into RL environments. No changes to the harnesses, no changes to the training code. Any open model, any task set, fully open source my friends! Same model, same weights: 62% under Mini-SWE-Agent, 33% under Claude Code. But training inside a real harness normally means reimplementing it as an environment, so most models get trained in a scaffold nobody actually ships. The fix is a proxy, not a rewrite. The harness thinks it's talking to a model API. It's actually talking to a capture proxy that speaks the 4 formats coding agents use (OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Gemini), forwards to @vllm_project, records the exact token IDs and logprobs vLLM sampled, and hands TRL sequences it can train on. The harness becomes the environment. 10 harnesses run through it today, none modified. And because you control the reward, you can shape behavior the harness never asked for. We addedโฆ
- 230Replies
- 322Reposts
- 2.7KLikes
- 164.3KViews
@ClementDelangue ยท
I got thousands of DMs and it looks like @bot can't automatically analyze DMs (when @elonmusk?) so it will take me a few days to go through all of them, sorry! If you don't get an answer, don't take it as a judgment (again thousands of applications so I'll focus on only exceptional matches for the moment) and don't hesitate to apply for specific positions on https://t.co/z77CzOCstS. Thank you everyone, super excited to work more with more of you to keep pushing open-source AI! ๐ค๐ค๐ค
- 62Replies
- 21Reposts
- 438Likes
- 56.3KViews
@ClementDelangue ยท
Very cool to see Microduck making an appearance at @OpenAI Dev Days with @romainhuet!
Watch video- 40Replies
- 29Reposts
- 432Likes
- 58.8KViews
@ClementDelangue ยท
From what we know (take with a grain of salt, we need much more transparency!), if @OpenAI had been running this on their own agents that attacked us, they would have caught them before we did! Since the first agent cyberattack hit us in July, we've been asking what safe agent infra actually needs. Our current read: the destinations were allowed, the payloads weren't. By OpenAI's own account the agents turned an allowed package repository into a message board. Allowlists alone restrict where an agent can go, not what it does. So here's our first contribution to OpenShell, part of the just launched @nvidia Open Agent Safety Platform: monitoring of the traffic you already allow. - Network budgets per sandbox (requests, writes, bytes) - Drift versus each sandbox's baseline and the cohort - Fleet view: many sandboxes suddenly writing to one host raises a finding, even if every single request is allowed In the demo below, 4 sandboxed agents coordinate through a software repositoryโฆ
Watch video- 134Replies
- 197Reposts
- 1.3KLikes
- 285.5KViews
Formats
Content mix
- Text only
- 20%
- With media
- 70%
- With links
- 10 posts
- With hashtags
- 0 posts
Creator style: High-reach broadcaster
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