For data development education, a useful creator shortlist starts with the product task you need to explain. This profile pairs @mpjme'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.
When is @mpjme relevant to data development education?
The saved bio combines data engineering and educational work. A data-tool launch should teach one useful transformation and show how the result is checked. The sample's platform commentary does not establish current activity, so preserve the observation date and avoid recent-post claims.
How can I compare this profile in Claude or ChatGPT?
The observation dated 2026-10-21 records 49,863 followers, 4,154 median views per sampled post and 15 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.
@penberg has 3,937 median views in a saved sample of 16 own posts. @filicroval has 3,441 median views in a saved sample of 20 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 @mpjme is €185. In an illustrative €1,000 creator budget, that is 18.5% and leaves €815 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 data development education launch brief contain?
Provide a small input dataset, a transformation and a data-quality check the learner can run.
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.
Use Chals Channel to find data engineering education creators with ChatGPT. My product is [describe product], for [intended users]. Compare @mpjme with @penberg and @filicroval using topic fit, sample dates, median views, sample sizes and rates. For the brief: Provide a small input dataset, a transformation and a data-quality check the learner can run. 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 ↗
