@mahindersehgl profile picture

@mahindersehgl Verified

@mahindersehgl · Entrepreneur

11K
Followers
435
Following
Not published
Posts
35Instapect ScoreF

Instapect Score

35/100 · grade F — a performance read, benchmarked against 5K–25K followers.

Micro tier11K followersAudience Reach46/100Benchmarked against 5K–25K followers
Engagement rate
0.08%

by followers · typical 2.80%

Avg likes
8

median 6

Avg comments
1

median 0

Cadence
4.0

posts / week · 1.8 d apart

Comment-to-like
9.72%

healthy band 1–3%

Median ER
0.05%

middle post in the sample

Public-profile audit · 9 posts sampled (3 pinned excluded) · retrieved 9 Sept 2026· served from cache

Lost 33kg. No gym. 110→77kg in 8 months 🏃 Daily habit series → follow the journey Building Rasayan Ayurveda 🌿 DM PLAN for free habit guide

Profile snapshot

Headline public metrics for @mahindersehgl, from 9 sampled posts. Averages sit beside medians so one viral post cannot flatter the picture.

Engagement rate

0.08%

(avg likes + avg comments) ÷ followers · median 0.05% · 5K–25K followers

Average likes

8

Median 6 · 9 posts with a visible like count

Average comments

1

Median 0 · comment-to-like 9.7%

Posting cadence

4.0posts / week

About one post every 1.8 days

Latest posts

Newest first · engagement rate by followers per post

7 Sept 2026 · reel

Designed for the ones who never thought a tea could help them. Smokers. Ex-smokers. Weak lungs. Damaged gut. This herbal blend — specifically formulated for lung detox and gut repair. Mulethi — coats and heals airways. Tulsi — natural lung cleanser. Ginger — reduces inflammation. Triphala — restores gut lining. No chemicals. No side effects. Pure Ayurveda. Your lungs took the damage slowly. They can heal slowly too. Start here. 🌿 Comment LUNGS if you or someone you know needs this 👇 Link in bio — Rasayan Ayurveda 👆 #rasayanayurveda #herbalteaforlung #lungdetox #ayurveda #guthealth

3

likes

0

comments

0.03%

ER

5 Sept 2026 · reel

Motivation fades. Discipline builds bodies. 110kg to 73kg — not one missed workout was because of mood. Same time. Every day. Non-negotiable. Workout discipline is not a habit. It is an identity. Comment DISCIPLINE if you show up regardless 👇 Follow for more real stories. 👆 #110to77 #workoutdiscipline #fitnessmotivation #gymlife #rasayanayurveda

4

likes

0

comments

0.04%

ER

3 Sept 2026 · reel

Nobody told me this. Bad posture was making me look 10kg heavier than I was. Slouched shoulders. Forward head. Compressed core. Even at 73kg — I looked bigger than I was. Fixed my posture. Stood straight. Shoulders back. Core engaged. Looked 5kg lighter overnight. No diet. No gym. Just posture. But here is the real benefit. Good posture — improves digestion. Increases lung capacity. Reduces cortisol. Speeds up metabolism. Your body works better when it stands correctly. 110kg to 73kg — posture correction was part of every step. Comment POSTURE if you are fixing yours today 👇 Follow for more real stories. 👆 #110to77 #posturecorrection #bodyposture #naturalweightloss #rasayanayurveda

3

likes

0

comments

0.03%

ER

2 Sept 2026 · image

Yeh woh moment hai jab weight loss body transformation banta hai. Shape aa rahi hai. Finally. 💪 110kg to 73kg. Abhi aur hai. #110to77 #bodytransformation #naturalweightloss #indianfitness #rasayanayurveda

5

likes

0

comments

0.05%

ER

31 Aug 2026 · reel

110kg to 73kg. No injections. No surgery. No crash diet. Just real habits. Built daily. For 11 months. Food. Movement. Sleep. Ayurveda. This is what natural transformation looks like. Follow if you want the real story. 👆 Comment START if you are beginning today 👇 #110to77 #weightlosstransformation #naturalweightloss #indianweightloss #rasayanayurveda

18

likes

3

comments

0.19%

ER

30 Aug 2026 · reel

A brand offered me a deal. Promote GLP-1 injections as part of my weight loss journey. I said no. 110kg to 73kg. No injections. No shortcuts. No pharmaceuticals. Just food. Movement. Sleep. And Ayurveda. My body. My rules. Natural always. I will never promote something I do not believe in. Not for any brand. Not for any amount. Comment NATURAL if you stand for this too 👇 Follow for more real stories. 👆 #110to77 #naturalweightloss #rasayanayurveda #glp1 #ayurveda

6

likes

0

comments

0.05%

ER

How the score was built

The verdict is at the top of the page; this is the reasoning underneath it. Every sub-score prints its own weight and formula — no black box.

Archetype

Developing Profile

No single pattern dominates yet. The sub-scores below show which dimension moves the result most.

Nominal weights: Engagement 35% · Engagement Quality 25% · Consistency 15% · Content Performance 15% · Growth 10%. Audience Reach is context only and carries no weight — every account is graded against peers in its own follower tier · composite from 3 of 5 signals — unavailable sub-scores are excluded from both sums, not scored zero

Audience Reach

46 /100

Micro tier

10,976 followers (10K–100K followers). An asset score: how many people this account can reach. It does not move with how well the posts perform.

What this means

Engagement sits in the bottom quartile of its tier

Engagement rate 0.08% is below the 1.40% bottom quartile for 5K–25K followers, where typical is 2.80%. Closing to typical would mean roughly 3401% more likes and comments per post at the current follower count.

Audience Reach

46 /100

10,976 followers puts this account in the Micro tier (10K–100K 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(10,976) = 4.04, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

6 /100

Engagement rate 0.08%, below the 1.40% bottom quartile for accounts with 5K–25K followers. Typical is 2.80%.

Weight 35% · piecewise-linear percentile curve for 5K–25K followers: 0%→5, p25 1.40%→30, p50 2.80%→55, p90 6.00%→85, 10.80%→100

Engagement rate 0.08% mapped onto the 5K–25K followers percentile curve (0%→5, p25 1.40%→30, p50 2.80%→55, p90 6.00%→85), measured across 9 of 9 sampled posts with visible like counts.

Engagement Quality

Not measurable

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.

Consistency

77 /100

Posting cadence 4.00 posts per week, inside the healthy 3–7 per week band. Gaps between posts vary by 0.38× the mean gap of 1.8 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 0.62 (1 − stdev 0.7d ÷ mean gap 1.8d) and cadence factor 1.00 from 4.0 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).

Content Performance

60 /100

Breakout upside could not be measured on this sample. 89% 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 unavailable (the median post draws fewer than 30 visible likes, too thin a base for a breakout ratio); its weight was redistributed. enrichment 0.89 (caption + ≥1 hashtag), format mix 1.0 (2 distinct product types).

Growth Signals

Not measurable

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.

Growth & cadence

Instagram publishes no follower history, so Instapect builds its own: every audit records a snapshot, and the trend below is measured across those snapshots. Everything else here comes from the visible posting record.

Follower growth

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.

Engagement rate per post (%)

Oldest to newest across the sampled posts. Unit: % of followers.

Likes and comments per post

Unit: absolute interactions per post.

Free account required

Create a free account to see when this account posts and when its audience actually responds — weekday mix and hour-of-day heatmap.

Engagement diagnostics

Averages are easily distorted by one viral post. The median tells you what a typical post actually does — read them side by side.

Average engagement rate

0.08%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

0.01%

Comments ÷ followers × 100 — the honest fallback when likes are hidden

Median engagement rate

0.05%

Middle post in the sample

Comment-to-like ratio

9.7%

Higher means more conversational audience

Like-based sample

9of 9 posts

Every sampled post shows its like count. Comment metrics use all 9 posts.

Free account required

Create a free account to see the full engagement distribution — how far the best and worst posts sit from the median.

Content leaderboard

Posts ranked by engagement rate by followers. Pinned posts are shown because a reader will recognise them, but they sit outside the measured window and feed no average, rate or rhythm.

Free account required

Create a free account to see the full content breakdown — every top post with its thumbnail and per-post engagement rate.

Hashtags & mentions

Frequency from captions in the sample, with the average engagement rate of the posts each tag appears on. Association, not causation.

Free account required

Create a free account to see the full hashtag and mention detail, with the engagement associated with each tag.

Action plan

Prioritised by expected impact, written from the measured data above. The advisor sees only the metrics this report could actually compute — never an estimate, never a metric Instagram keeps private.

Free account required

Create a free account to read the full AI action plan, the content plan, post ideas, hashtag strategy and best time to post for this account.

Methodology & caveats

What this report measures, how, and what it deliberately does not claim.

What this account does not make measurable

  • 3 pinned posts were detected at the head of the response and excluded from the content window, leaving 9 of the 12 returned items. Pinned posts hold permanent placement and keep accumulating engagement, and the oldest one manufactures a gap that never happened — so they are excluded from cadence, gaps, regularity, format mix and every average. They still appear in the content leaderboard, badged "Pinned".
  • The content sample is the 9-item recent-posts window. The reels endpoint reaches further back and covers Reels only, so it is used to enrich matched items with their play count (8 matched) — never to extend the sample, which would inflate the Reel share and corrupt cadence.
  • 4 older Reels outside the content window are shown separately in "Top Reels by plays" with their own window, and are excluded from every average, the format mix and all cadence maths.
  • Play counts are published public counts shown only where the provider returns them. They are not reach, views or watch time, and none of those are available for a public-profile audit.

KPI definitions

  • Engagement rate by followers = (average likes + average comments) ÷ followers × 100.
  • Median engagement rate = the middle post's engagement rate in the sample; robust to viral outliers.
  • Posting cadence = (sampled posts − 1) ÷ days spanned × 7. Intervals, not posts: n posts span n−1 gaps. Unavailable below 2 posts or a zero-day window.
  • Instapect Score = 0.35 × Engagement + 0.25 × Engagement Quality + 0.15 × Consistency + 0.15 × Content Performance + 0.10 × Growth Signals, renormalised over the sub-scores that could be measured. Every account is graded against peers in its own follower tier; Audience Reach is reported separately and carries no weight.
  • Comment-to-like ratio = average comments ÷ average likes × 100. A healthy conversational account sits between 1% and 3%.

Sample, source & limits

  • 9 public posts sampled (9 usable for like-based metrics) · retrieved 9 Sept 2026 · served from the 24-hour cache.
  • Only lawfully-visible public signals are used: published posts, visible counts, captions, hashtags, mentions and timestamps.
  • Instapect never reports reach, impressions, audience demographics, Story insights or Reels watch-time. Those are private to the account owner and any tool claiming them for a third party is guessing.
  • Benchmarks are published industry medians by follower tier and are indicative, not guarantees. Any forward-looking figure is labelled an estimate with its method stated.

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This report is built only from lawfully-visible public Instagram signals — published posts and visible counts. It contains no reach, impressions, demographics, Story insights or watch-time, because nobody outside the account can see those. Request removal and the report is delisted from the directory, the category hubs and the sitemap.