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Deepak Pathak

@deepakpathak

Co-Founder & CEO @SkildAI, Faculty @CarnegieMellon. PhD @UCBerkeley; BTech @IITKanpur I study topics in AI (robotics, machine learning & computer vision).

  • Based in United States
  • Posts in English
deepakpathak.profile
Deepak Pathak
Robotics & hardwareAI researchStartupsMachine learning
Followers
31,735
Median views / post
7,582
Engagement / views
1.04%
Own posts in sample
11

Observed 30 Oct 2026 · Saved sample, up to 20 own posts.

Ways to collaborate

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Start with a Boost. Choose the formats that fit your product and budget.

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Quote post

Your launch, with their perspective.

€215per collaboration
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Original post

A new post built around your brief.

€300per collaboration
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Repost

Your original post, shared further.

€90per collaboration
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Comment

Add a voice to the conversation.

€65per collaboration
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Chals Channel rates in EUR, before taxes. The platform fee is added to the creator budget according to your plan. See plans ↗

Behind the profile

Get to know the work.

Deepak Pathak publishes in English about Robotics & hardware, AI research, Startups, Machine learning.

Use the topics and the recorded sample to compare this profile with the rest of your shortlist. Match the creator to your product, then build the campaign in your assistant.

How to read these numbers

These are saved observations from up to 20 own posts, not live measurements or a complete calendar period. Median views describe the sample, not promised campaign reach. Engagement is measured against views. A creator’s location does not establish the location of their audience.

a_post_from_the_sample.exe

An example of their content

The only AGI on Earth emerged after billions of years of "physical self-play". Robots won't be any different. This method…

105,781 recorded views

Read the original on X ↗

A practical launch guide

Physical self play robotics demonstrations: the @deepakpathak comparison

For physical self play robotics demonstrations, use Claude with Chals Channel to compare @deepakpathak against profiles with related work. The saved learning-method discussion points to physical interaction as training experience. A launch should distinguish the training process from demonstrated task competence. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

How does @deepakpathak relate to physical self play robotics demonstrations?

The saved catalog associates this profile with Robotics & hardware, AI research, Startups. The saved learning-method discussion points to physical interaction as training experience. A launch should distinguish the training process from demonstrated task competence.

Show the interaction data, learning setup and held-out physical task. Check the linked original example and the profile bio for context. A prominent personal or unrelated post should not be treated as evidence about a technical product or buyer demand.

What should Claude or ChatGPT compare?

The observation dated 2026-10-30 records 31,735 followers, 7,582 median views per sampled post and 11 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@psermanet is catalogued with Robotics & hardware, Startups; its saved sample has 7,296 median views across 12 own posts, observed 2026-10-30. @pesarlin is catalogued with AI research, Computer vision; its saved sample has 7,949 median views across 11 own posts, observed 2026-10-30. Compare the linked work and the product explanation before preferring a larger figure. Different observation dates and samples are not a controlled campaign comparison.

What do the saved format rates mean for a launch?

The saved quote-post rate for @deepakpathak is €215. In an illustrative €1,000 creator budget, one quote uses 21.5% and leaves €785. A quote plus one comment from this profile would use €280 of creator spend. These are arithmetic examples using the listed formats, before account-specific platform fees and tax; they are not reach forecasts or confirmed creator participation.

Start with Boost when your brand owns the main launch post: a quote adds a perspective, a comment adds discussion and a repost reshares the original. Use a sponsored original when the explanation needs its own post. Research and planning are free; review the actual booking on the Chals Channel website.

How can I prepare a brief for physical self play robotics demonstrations?

Show the interaction data, learning setup and held-out physical task. Give the assistant the product, intended user, launch date, time zone and creator-spend ceiling. Ask what evidence is still missing before it recommends a shortlist.

Keep the observed profile data separate from the proposed demonstration. The saved sample is not live analytics, a creator location is not audience geography, and a public listing does not establish availability or endorsement.

Try this in your assistant

Use Chals Channel to compare X creators for physical self play robotics demonstrations with Claude. My product is [product], used by [intended user] for [task]. Compare @deepakpathak with @psermanet and @pesarlin. For the brief: Show the interaction data, learning setup and held-out physical task. Explain the fit and exclusion reasons, show observation dates and sample sizes, and compare listed format rates. Ask for my budget and launch date. Propose Boost first and keep booking for my review on the website.

By Chals Channel · Editorial updated . Profile observations: 30 Oct 2026. How campaigns work ↗

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