# Compare practical LLM tooling voices with ChatGPT: the Simon Willison example

Canonical: https://chalsai.com/chalschannel/x/simonw

By Chals Channel · Editorial 2026-10-30 · Profile observations 2026-10-27T15:22:59.745798000Z

For practical LLM tooling, a useful creator shortlist starts with the product task you need to explain. This profile pairs @simonw's saved catalog observations with an editorial reading of the work, a budget example and a prompt you can adapt. The profile is public catalog research, not a creator endorsement or a confirmed collaboration.

## Profile
@simonw · United States · 245766 followers · 62784 median views per sampled post · 10 own posts in the saved sample.

Saved observations, not live measurements or a campaign forecast. Creator location does not establish audience location.

## When is @simonw relevant to practical LLM tooling?

The saved bio links data tooling and a web framework, with LLMs as the main catalog tag. The sample also criticizes generic automated replies. A developer-facing brief should prioritize something the reader can run and inspect, including edge cases, instead of asking for formulaic amplification.

## How can I compare this profile in Claude or ChatGPT?

The observation dated 2026-10-27 records 245,766 followers, 62,784 median views per sampled post and 10 own posts in the saved sample. These fields answer different questions: followers describe account size, while median views summarize those particular sampled posts. They do not estimate unique people reached or current weekly activity.

@dylan522p has 64,096 median views in a saved sample of 16 own posts. @gabepereyra has 61,032 median views in a saved sample of 10 own posts. Review the topics and linked work before preferring a larger number. The observations may have different dates and sample sizes; they are not a controlled campaign comparison.

## What would one quote post mean for the creator budget?

The saved Chals Channel quote-post rate for @simonw is €485. In an illustrative €1,000 creator budget, that is 48.5% and leaves €515 for other collaborations. This is arithmetic about creator spend, before the platform fee and taxes; it is not a campaign-reach forecast. Compare the original-post, repost and comment rates above before choosing a mix.

Start with a Boost if you will publish the main launch post yourself. Quotes add a creator's perspective, comments add discussion and reposts reshare the original. Planning and comparison are free in Chals Channel; a booking needs your review and confirmation on its website.

## What should my practical LLM tooling launch brief contain?

Supply a reproducible example with visible inputs, outputs and limitations for an independent technical reading.

Give the assistant your product, intended users, launch time and creator budget. Ask it to explain the inclusion and exclusion criteria, keep unknown audience information explicit and show a shortlist before creating a campaign. A saved location describes the creator, not the geography of their audience.

Prompt: Use Chals Channel to compare practical LLM tooling voices with ChatGPT. My product is [describe product], for [intended users]. Compare @simonw with @dylan522p and @gabepereyra using topic fit, sample dates, median views, sample sizes and rates. For the brief: Supply a reproducible example with visible inputs, outputs and limitations for an independent technical reading. Ask for my budget and launch date, propose Boost first and keep booking for my review on the website.

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