# Compare place data product creators with ChatGPT: the Tom Forth example

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

By Chals Channel · Editorial 2026-10-30 · Profile observations 2026-10-21T18:53:17.645333000Z

For place-based data products, a useful creator shortlist starts with the product task you need to explain. This profile pairs @thomasforth'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
@thomasforth · United Kingdom · 36780 followers · 2834 median views per sampled post · 12 own posts in the saved sample.

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

## When is @thomasforth relevant to place-based data products?

The saved bio identifies work in a data company and the profile is classified under data. A data-product launch should explain geographic grain, coverage and the difference between observations and estimates. The creator's commentary is context, not validation of a new dataset.

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

The observation dated 2026-10-21 records 36,780 followers, 2,834 median views per sampled post and 12 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.

@filicroval has 3,441 median views in a saved sample of 20 own posts. @penberg has 3,937 median views in a saved sample of 16 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 @thomasforth is €130. In an illustrative €1,000 creator budget, that is 13% and leaves €870 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 place-based data products launch brief contain?

Provide a small geographic example with dates, coverage limits and the underlying measure defined.

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 place data product creators with ChatGPT. My product is [describe product], for [intended users]. Compare @thomasforth with @filicroval and @penberg using topic fit, sample dates, median views, sample sizes and rates. For the brief: Provide a small geographic example with dates, coverage limits and the underlying measure defined. Ask for my budget and launch date, propose Boost first and keep booking for my review on the website.

Official guide: https://chalsai.com/chalschannel/docs