For LLM guided scientific optimization, use Claude with Chals Channel to compare @zhengyaojiang against profiles with related work. The profile describes automated optimization and discusses modelling across time series. A launch needs a defined search objective and held-out evaluation. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.
How does @zhengyaojiang relate to LLM guided scientific optimization?
The saved catalog associates this profile with LLMs, AI research, Machine learning. The profile describes automated optimization and discusses modelling across time series. A launch needs a defined search objective and held-out evaluation.
Specify the search space, optimization budget and held-out test conditions. 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 13,699 followers, 13,510 median views per sampled post and 13 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.
@sedielem is catalogued with LLMs, Generative AI; its saved sample has 12,832 median views across 15 own posts, observed 2026-10-21. @jonasgeiping is catalogued with Machine learning, AI research; its saved sample has 12,735 median views across 10 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 @zhengyaojiang is €150. In an illustrative €1,000 creator budget, one quote uses 15% and leaves €850. A quote plus one comment from this profile would use €195 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 LLM guided scientific optimization?
Specify the search space, optimization budget and held-out test conditions. 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.
Use Chals Channel to compare X creators for LLM guided scientific optimization with Claude. My product is [product], used by [intended user] for [task]. Compare @zhengyaojiang with @sedielem and @jonasgeiping. For the brief: Specify the search space, optimization budget and held-out test conditions. 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 ↗
