@crepebike_

135,556 followers puts this account in the Mid tier (100K–500K followers). This is an asset score — how many people the account can reach — and it never moves based on how well the posts perform.

Weight 0% · log-scaled followers: L = log10(followers); L≤3 → 5–25, 3<L≤6 → 25 + (L − 3) × 20, L>6 → 85 + (L − 6) × 15, capped 100

log10(135,556) = 5.13, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement rate 0.04%, below the 0.50% bottom quartile for accounts with 100K–500K followers. Typical is 1.00%.

Weight 35% · piecewise-linear percentile curve for 100K–500K followers: 0%→5, p25 0.50%→30, p50 1.00%→55, p90 2.20%→85, 3.96%→100

Engagement rate 0.04% mapped onto the 100K–500K followers percentile curve (0%→5, p25 0.50%→30, p50 1.00%→55, p90 2.20%→85), measured across 12 of 12 sampled posts with visible like counts.

Weight 25% · comment-to-like ratio = avg comments ÷ avg likes × 100, mapped 0%→5, 0.5%→30, 1.5%→65, 3%→90, ≥5%→100

The typical post carries 0 comments, below the 5-comment base at which a comment-to-like ratio is statistically meaningful. One or two reactions expressed as a percentage is not a measurement, so the weight is redistributed rather than scored.

Posting cadence 2.25 posts per week, approaching the healthy 3–7 per week band. Gaps between posts vary by 1.33× the mean gap of 3.1 days — under 0.5× reads as a dependable rhythm.

Weight 15% · 60 × (1 − clamp(stdev(gaps) ÷ mean(gaps), 0, 1)) + 40 × cadence factor (0/wk → 0, 3/wk → 1.0, 3–7/wk → 1.0, 14/wk → 0.6, ≥21/wk → 0.3)

regularity 0.00 (1 − stdev 4.1d ÷ mean gap 3.1d) and cadence factor 0.75 from 2.2 posts/week (0→0, ramping to 1.0 at 3/wk, flat 1.0 through 7/wk, tapering to 0.6 at 14/wk and 0.3 at 21+/wk).

The best post in the window drew 5.0× the median post's likes — 1× means no post ever breaks out, 3× or more means the account reliably produces outliers worth repeating. 50% of sampled posts carry both a caption and at least one hashtag (a well-kept feed is usually above 80%), across 2 distinct formats.

Weight 15% · 60 × upside score (top-post likes ÷ median likes: 1×→30, 2×→60, 3×→80, ≥5×→100) + 25 × caption-and-hashtag share + 15 × format mix (1.0 if ≥2 product types, else 0.5)

upside 5.00× (top post 233 likes ÷ median 43) scoring 100, enrichment 0.50 (caption + ≥1 hashtag), format mix 1.0 (2 distinct product types).

Weight 10% · clamp(50 + weekly follower growth % × 25, 0, 100), where weekly % = (followers now ÷ followers then − 1) × 100 ÷ weeks

This is the first recorded audit of this account, so there is no observation window yet. Instagram publishes no follower history — Instapect measures growth by comparing snapshots it takes itself, and the trend appears from the second audit that is at least 7 days later.