What works
Trending or other creator’s sound: n 14, median 1,425,250 plays Own original sound: n 5, median 418,197 plays ≤10 s: n 12, median 1,244,895 · >10 s: n 7, median 644,672 The three biggest posts are 5–9 s.
Audit a TikTok account’s recent posts like a growth analyst and turn the patterns into tests for the next posts.
v0.1.1
View example draft · How to useExample draft
Posts from 2026-10-13 to 11-04 on @duolingo (18.4 M followers).
Trending or other creator’s sound: n 14, median 1,425,250 plays Own original sound: n 5, median 418,197 plays ≤10 s: n 12, median 1,244,895 · >10 s: n 7, median 644,672 The three biggest posts are 5–9 s.
Trend-first ratio: post 4 trending-sound posts for every own-sound post for two weeks. Success: the window median above 1.0 M plays.
Excerpt from an actual run on 2026-11-05.
An Agent that can read the complete Skill folder. Live research also needs a SandBase connection; supplied material can be used without a lookup.
Download and unpack the complete Skill folder, keep its references, and use it with a local Agent that supports Skills.
Use tiktok-account-audit on @duolingo. Analyse the last 20 posts, explain what separates hits from misses, check the top post’s views, and suggest tests for the next two weeks.
Fetch the profile and at least 20 recent posts; leave pinned posts out of medians.
Split by sound, length and format, and compare top and bottom posts.
Analyse the top post, read milestones, and write tests with success measures.
Download and unpack the whole Skill folder, including references, into your Agent’s supported Skill directory. You can also ask the Agent to read its SKILL.md and follow the instructions. Run it locally with your own material.
No. It is a statistical estimate; fast organic growth also trips its rules, so read it against the account’s history.