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Nick Khami

@skeptrune

inference @morphllm, you should try to fail faster

  • Based in United States
  • Posts in English
skeptrune.profile
Nick Khami
AI agents
Followers
19,714
Median views / post
15,747
Engagement / views
1.92%
Own posts in sample
13

Observed 27 Oct 2026 · Saved sample, up to 20 own posts.

Ways to collaborate

Give your launch
a familiar voice.

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

quote.exe

Quote post

Your launch, with their perspective.

€175per collaboration
Plan a quote
post.exe

Original post

A new post built around your brief.

€245per collaboration
Plan a post
repost.exe

Repost

Your original post, shared further.

€75per collaboration
Plan a repost
comment.exe

Comment

Add a voice to the conversation.

€55per collaboration
Plan a comment

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.

Nick Khami publishes in English about AI agents.

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

society might genuinely collapse if tailscale gets hacked…

328,544 recorded views

Read the original on X ↗

A practical launch guide

Reliable infrastructure for agent tools: the @skeptrune comparison

For reliable infrastructure for agent tools, use ChatGPT with Chals Channel to compare @skeptrune against profiles with related work. The inference-oriented profile and infrastructure-risk commentary suggest reliability as an angle, with explicit dependencies and recovery behavior. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

How does @skeptrune relate to reliable infrastructure for agent tools?

The saved catalog associates this profile with AI agents. The inference-oriented profile and infrastructure-risk commentary suggest reliability as an angle, with explicit dependencies and recovery behavior.

Document service dependencies, failure handling and recovery of an interrupted 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 2026-10-27 records 19,714 followers, 15,747 median views per sampled post and 13 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@karenxcheng is catalogued with LLMs, AI agents; its saved sample has 14,382 median views across 12 own posts, observed 2026-10-27. @dexhorthy is catalogued with Startups, AI agents; its saved sample has 14,002 median views across 11 own posts, observed 2026-10-27. 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 @skeptrune is €175. In an illustrative €1,000 creator budget, one quote uses 17.5% and leaves €825. A quote plus one comment from this profile would use €230 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 reliable infrastructure for agent tools?

Document service dependencies, failure handling and recovery of an interrupted 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 reliable infrastructure for agent tools with ChatGPT. My product is [product], used by [intended user] for [task]. Compare @skeptrune with @karenxcheng and @dexhorthy. For the brief: Document service dependencies, failure handling and recovery of an interrupted 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: 27 Oct 2026. How campaigns work ↗

Compare more creators · Connect Claude · Connect ChatGPT

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Claude

https://chalschannel-marketplace-73388336062.europe-west1.run.app/mcpOpen Claude ↗

ChatGPT

https://chalschannel-chatgpt-manual-73388336062.europe-west1.run.app/mcpOpen ChatGPT ↗

Review and confirm any booking on the Chals Channel website.