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Dominic Gannaway

@trueadm

I'm a frontend engineer @OpenAI. Author of @octanejs, @ripple_ts, @lexicaljs and @inferno_js. I was also a core engineer who helped build @reactjs and @sveltejs

  • Based in United Kingdom
  • Posts in English
trueadm.profile
Dominic Gannaway
LLMsWeb development
Followers
23,168
Median views / post
13,439
Engagement / views
0.93%
Own posts in sample
20

Observed 21 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.

€190per collaboration
Plan a quote
post.exe

Original post

A new post built around your brief.

€265per collaboration
Plan a post
repost.exe

Repost

Your original post, shared further.

€80per collaboration
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comment.exe

Comment

Add a voice to the conversation.

€55per 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.

Dominic Gannaway publishes in English about LLMs, Web development.

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

Happy to announce Octane – the successor to Inferno. React’s programming model, compiled. Hooks, Suspense and Actions, compiled ahead of…

382,206 recorded views

Read the original on X ↗

A practical launch guide

Compiled frontend programming model comparisons: the @trueadm comparison

For compiled frontend programming model comparisons, use ChatGPT with Chals Channel to compare @trueadm against profiles with related work. The saved framework announcement concerns compilation of familiar UI patterns. A tool brief should expose behavior and build assumptions. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

How does @trueadm relate to compiled frontend programming model comparisons?

The saved catalog associates this profile with LLMs, Web development. The saved framework announcement concerns compilation of familiar UI patterns. A tool brief should expose behavior and build assumptions.

Provide equivalent components and compare their output under documented settings. 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 2026-10-21 records 23,168 followers, 13,439 median views per sampled post and 20 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@schickling is catalogued with AI agents, Web development; its saved sample has 3,747 median views across 15 own posts, observed 2026-10-21. @thenetninjauk is catalogued with Education, LLMs; its saved sample has 3,143 median views across 20 own posts, observed 2026-10-21. 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 @trueadm is €190. In an illustrative €1,000 creator budget, one quote uses 19% and leaves €810. A quote plus one comment from this profile would use €245 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 compiled frontend programming model comparisons?

Provide equivalent components and compare their output under documented settings. 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 compiled frontend programming model comparisons with ChatGPT. My product is [product], used by [intended user] for [task]. Compare @trueadm with @schickling and @thenetninjauk. For the brief: Provide equivalent components and compare their output under documented settings. 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: 21 Oct 2026. How campaigns work ↗

Compare more creators · Connect Claude · Connect ChatGPT

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Claude

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Review and confirm any booking on the Chals Channel website.