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kinnacheung@kinnacheung
Reply-driven

Most of its reach comes from replying under other people's posts; original posts are fewer.

Followers 9,093Diagnosed on 2026-10-11Followers 10-11 20:07Tweets 10-11 21:18
AScore 76

Reach check

Against the account's own previous week; not part of the score
Views look normalMedian views per post are +2377% versus the previous 7 days — no sign of a sharp drop.

Scores by dimension

Out of 100 · 50 = the median of similar-size accounts
View efficiency
86
Views per post ≈ 388.5% of followers · ahead of 86% of similar-size accounts
Growth momentum
97
Followers +46.48% in 7 days · ahead of 97% of similar-size accounts
Engagement quality
19
5.4 likes and replies per 1,000 views · ahead of 19% of similar-size accounts
Posting cadence
100
250 posts in the last 14 days, on 14 of them
Content consistency
68
The top post took 34% of 14-day views (34 posts)

Findings

Strengths

  • Posting cadence250 posts in the last 14 days, on 14 of them
  • Growth momentumFollowers +46.48% in 7 days · ahead of 97% of similar-size accounts

To improve

  • Engagement quality5.4 likes and replies per 1,000 views · ahead of 19% of similar-size accounts

Suggestions

  • Plenty of views, little interactionWhat to doEnd posts with a clear question and answer the first few replies.How to checkIn two weeks, see whether likes and replies per 1,000 views have gone up.

The reach check compares the medians of the last two weeks; it shows a change in views, not its cause. The diagnosis uses only public data collected by this site: the account's own original posts (no retweets or replies), counted once a tweet is past 24h. View efficiency, growth and engagement are scored by rank among similar-size accounts (⅓–3× the followers); cadence and consistency by the account's own posting. A dimension without enough data is not scored and stays out of the total. For reference only — it says nothing about the account's standing on X.

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