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Daniel Berk@danielcberk
Reach machine

Posts travel well beyond the follower base.

Followers 19.3KDiagnosed on 2026-11-12Followers 11-13 02:07Tweets 11-13 04:26
BScore 64

Reach check

Against the account's own previous week; not part of the score
Can't compare yetNeeds at least 3 tweets past 24h in each of the last two weeks.

Scores by dimension

Out of 100 · 50 = the median of similar-size accounts
View efficiency
79
Views per post ≈ 352.5% of followers · ahead of 79% of similar-size accounts
Growth momentum
64
Followers +4.01% in 7 days · ahead of 64% of similar-size accounts
Engagement quality
49
8.1 likes and replies per 1,000 views · ahead of 49% of similar-size accounts
Posting cadence
—
Needs 7 days of tweet data
Content consistency
51
The top post took 51% of 14-day views (34 posts)

Findings

Strengths

  • View efficiencyViews per post ≈ 352.5% of followers · ahead of 79% of similar-size accounts

To improve

No clear weak spot.

Suggestions

Keep the current rhythm, and keep an eye on the lowest score above.

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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