Accounts
Rank by what the profile claims or by what we measured. The two disagree by orders of magnitude, which is the whole reason both are here. Pick a topic to rescope every measured column to that niche. Defaults to the MD roster: accounts with a poll_state row, which is what distinguishes a roster member from a discovered candidate.
Roster definitions disagree. 47,813 accounts have country='MD' but 47,737 have a poll_state row. Only the second is actually on a schedule, so every roster figure on this dashboard is now measuring something other than what gets polled.
1 of 84,091 accounts match max...zzz4 in their handle or display name. Case and diacritics are folded, so stefan also finds Ștefan. Searching spans everything discovered, not just the roster, because a handle you can name is one we should find whether or not it is on a schedule.
| # | Account | Country | Tier | Top topic | Followers | Total likes | Avg plays | Eng. | ×fol | Captured | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | @max...zzz4𝓜𝓪𝔁...𝟒⚽️ | MD | dormant | — | 7,601 | 580,457 | 1,983,865 | 9.7% | 261× | 3 |
1 accounts
Followers are the claim; plays are the evidence. A follower count is cumulative and never decays, so it records who an account once was. @garik.ugarik holds 6,567,817 followers and averages 29,025 plays a post, 0.004 per follower, while @autoseller.chisinau holds 10,582 and averages 647,161. Sorting by followers puts the first two hundred places above the second. The ×fol column is that ratio; anything above 1× is reaching past its own following.
Capturedis how many of the account’s posts we actually hold, and every measured column is an average over exactly those posts. It is usually far below the profile’s own post count because one poll returns one page of at most 30. Lookback depth is inversely proportional to posting rate rather than a measure of the account.