For accessible data science explanations, a useful creator shortlist starts with the product task you need to explain. This profile pairs @levikul09'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 @levikul09 relevant to accessible data science explanations?
The saved bio emphasizes making data science understandable, and the expertise tag is data science. A learning-tool launch should define a beginner task and the intuition behind the result. No post excerpt is available here, so do not invent an example or infer a specific teaching format.
How can I compare this profile in Claude or ChatGPT?
The observation dated 2026-10-26 records 38,460 followers, 12,422 median views per sampled post and 11 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.
@martinkl has 16,083 median views in a saved sample of 20 own posts. @_HannahRitchie has 18,061 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 @levikul09 is €230. In an illustrative €1,000 creator budget, that is 23% and leaves €770 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 accessible data science explanations launch brief contain?
Provide a simple dataset, one concept and a worked explanation that checks the learner's understanding.
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 compare beginner data science educators with ChatGPT. My product is [describe product], for [intended users]. Compare @levikul09 with @martinkl and @_HannahRitchie using topic fit, sample dates, median views, sample sizes and rates. For the brief: Provide a simple dataset, one concept and a worked explanation that checks the learner's understanding. 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: 26 Oct 2026. How campaigns work ↗
