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Jayed

@meetjayed · Entrepreneur

12.1K
Followers
559
Following
12
Posts
51Instapect ScoreC−

Instapect Score

51/100 · grade C− — a performance read, benchmarked against 5K–25K followers.

Micro tier12.1K followersAudience Reach47/100Benchmarked against 5K–25K followers
Engagement rate
1.77%

by followers · typical 2.80%

Avg likes
201

median 196

Avg comments
13

median 9

Cadence
0.2

posts / week · 41.4 d apart

Comment-to-like
6.28%

healthy band 1–3%

Median ER
1.80%

middle post in the sample

Public-profile audit · 11 posts sampled (1 pinned excluded) · retrieved 6 Sept 2026· served from cache

building @next.ventures @FundedNext @FNmarkets

Profile snapshot

Headline public metrics for @meetjayed, from 11 sampled posts. Averages sit beside medians so one viral post cannot flatter the picture.

Engagement rate

1.77%

(avg likes + avg comments) ÷ followers · median 1.80% · 5K–25K followers

Average likes

201

Median 196 · 11 posts with a visible like count

Average comments

13

Median 9 · comment-to-like 6.3%

Posting cadence

0.2posts / week

About one post every 41.4 days

Latest posts

Newest first · engagement rate by followers per post

6 Mar 2026 · carousel

Tomorrow is a special day, 11 years of NEXT. Still feels like day one.

196

likes

21

comments

1.80%

ER

5 Oct 2025 · carousel

Another year older, a little wiser. Thanks for all the love and birthday wishes! ❤️

333

likes

29

comments

3.00%

ER

3 Oct 2025 · carousel

NEXT Malaysia Inauguration 🇲🇾 Grateful to our colleagues, partners, and especially NEXT Malaysia team for making this beautiful launch happen. These moments have been more than a decade in the making and it’s a start. The job is far from done.

214

likes

18

comments

1.92%

ER

23 Sept 2025 · carousel

Ladies and Gentlemen, Introducing NEXT Malaysia 🇲🇾 Well, every journey has milestones that define it. Today is one of them. We have always enjoyed building, solving hard problems, global problems. To do that at scale, we need diverse perspectives, borderless talents, bringing multi-country talents under one hub. And Malaysia is our next step in bringing that vision to life. Feeling inspired and grateful for the people who made this possible. This is just the beginning of what’s ahead. Building Global, Going Global.

274

likes

21

comments

2.44%

ER

11 May 2025 · reel

Intercom Team Flies from London & Dublin to NEXT Bangladesh for Fin AI Closed-Beta Sprint A year ago, Intercom — one of the world’s leading support platforms — launched their AI agent, FinAI. From day one, we were in. Operating in a global, hyper-competitive industry, we knew we had to lead from the front — not just in using AI, but in transforming how we work with it. From product to ops, AI-first has been our mindset for months. So when FinAI launched, we integrated fast. Our team trained it on our entire knowledge base and tested its limits. And when the July 2024 internet shutdown hit — cutting off our 70+ support team — FinAI became essential. With urgent support from Intercom, we went live instantly. No delays. No negotiations. Just speed and shared mission. Since then, it’s grown into a deep partnership. With 250K+ daily active users, we’re one of Intercom’s largest customers — collaborating on open betas, roadmap features, and even custom solutions. Support AI isn’t just about answering FAQs. To truly scale, it must evolve: 1. Informational 2. Personalized 3. Action-based 4. Troubleshooting/debugging We’re building toward agentic support — where AI doesn’t just answer, but acts, learns, and adapts. That’s why we’re also working together on the Model Context Protocol (MCP) — a new standard from Anthropic that enables AI systems to operate with shared context and memory. Intercom has launched their MCP client; we’re building our own custom servers to match — paving the way for interoperable, real-time, AI-powered support systems. — Last week, a 5-member Intercom delegation — led by led by Phil Moore (Head of Sales Engineering) and Ciaran Nolan (Senior Director, EMEA) — visited our Dhaka HQ for an intensive FinAI closed-beta sprint. They worked hands-on with our technology and support teams to push boundaries, test real-world use cases, and align on what’s next. We’ve been actively embedding AI across every layer of our business — and we’re just getting started. From support to systems, we look forward to integrating AI into everything we build.

109

likes

6

comments

0.95%

ER

5 May 2025 · image

Most weeks, I work 12–14 hours a day. On weekends, I still give it 4–8 hours. That’s around 70–80 hours per week. And i’ve been doing this for last 13 years. Personal tasks? Delegated at scale. Calls? Mostly incactive. Social media? Rarely attended. Flights? I take them on weekends. Birthdays, hangouts, invitations — missed more times than I can count. Misunderstood? Frequently. But that’s the price. The price of building with a dream and the will to see it through. Not just to launch and exist — but to succeed, to lead, and to stay relevant. We’re building in a competitive market. Against mature competitors. To succeed, we know we have to outperform, outwork, and innovate faster. And we realized something else: Building global is hard. But being global is harder. It means recruiting globally. Operating globally. Managing distributed teams. Scaling culture, speed, and systems across borders and time zones. There’s no shortcut to it. Just vision, strategy, execution and above all, grit. You and your team have to be willing to dive deep. Not just with your time, but with your mind and your heart. If you’re building something — Build with discipline. Build with obsession. And build with the full understanding that: “sacrifice is part of the story.” Maybe only then, the work starts to speak louder than anything you ever had to say. Until then — Let’s keep working.

86

likes

2

comments

0.73%

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 4 of 5 signals — unavailable sub-scores are excluded from both sums, not scored zero

Audience Reach

47 /100

Micro tier

12,079 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

Posting frequency is the most controllable lever

At 0.17 posts per week — one every 41 days — the account publishes less than once a week. Unlike engagement rate, cadence is entirely within the owner's control, which makes it the cheapest thing on this page to change.

Performance is genuinely consistent

Median likes (196) are 97% of the average (201). No viral outlier is propping up the average, so every number in this report describes what a typical post actually does — a dependable baseline is a real asset when planning.

Audience Reach

47 /100

12,079 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(12,079) = 4.08, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

37 /100

Engagement rate 1.77%, between the 1.40% bottom quartile and the 2.80% typical rate 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 1.77% mapped onto the 5K–25K followers percentile curve (0%→5, p25 1.40%→30, p50 2.80%→55, p90 6.00%→85), measured across 11 of 11 sampled posts with visible like counts.

Engagement Quality

100 /100

6.28 comments per 100 likes, above the 1–3% healthy band, an unusually conversational audience. A comment costs far more effort than a like, so this ratio measures conversation rather than reach.

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

6.28 comments per 100 likes mapped as 0%→5, 0.5%→30, 1.5%→65, 3%→90, ≥5%→100.

Consistency

2 /100

Posting cadence 0.17 posts per week, below the 1-per-week floor most active accounts clear. Gaps between posts vary by 1.32× the mean gap of 41.4 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 54.7d ÷ mean gap 41.4d) and cadence factor 0.06 from 0.2 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).

Content Performance

50 /100

The best post in the window drew 1.7× the median post's likes — 1× means no post ever breaks out, 3× or more means the account reliably produces outliers worth repeating. 18% of sampled posts carry both a caption and at least one hashtag (a well-kept feed is usually above 80%), across 3 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 1.70× (top post 333 likes ÷ median 196) scoring 51, enrichment 0.18 (caption + ≥1 hashtag), format mix 1.0 (3 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.

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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

1.77%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

0.10%

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

Median engagement rate

1.80%

Middle post in the sample

Comment-to-like ratio

6.3%

Higher means more conversational audience

Like-based sample

11of 11 posts

Every sampled post shows its like count. Comment metrics use all 11 posts.

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

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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.

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

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Hashtags & mentions

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

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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.

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Methodology & caveats

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

What this account does not make measurable

  • 1 pinned post was detected at the head of the response and excluded from the content window, leaving 11 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 11-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 (3 matched) — never to extend the sample, which would inflate the Reel share and corrupt cadence.
  • 9 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

  • 11 public posts sampled (11 usable for like-based metrics) · retrieved 6 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.