KIM LIM vs Akash • Python & Tech Enthusiast 🚀 — Instagram Profile Comparison
Compare KIM LIM and Akash • Python & Tech Enthusiast 🚀 Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.
This page provides a detailed Instagram comparison between @kimlimhl (KIM LIM) and @pycode.hubb (Akash • Python & Tech Enthusiast 🚀). With 660.8K and 660.7K followers respectively, both accounts are classified as Large and Large level Instagram profiles. Our analysis covers key areas including follower statistics, engagement rates, posting frequency, hashtag strategy, and authority scores.
Profile Overview
FOUNDER @illumiamedical.sg @illumiatherapeutics.sg @illumiaskin.sg @illumiaface.sg @papillabykimlim.sg @papillabykimlim.th @papillabykimlim.uk
660.8K
Followers
50%
989
Following
1.7K
Posts
53%
👨💻 | Learn Python, ML, and AI Fast 📩 | Work: contact@legitpython.com 👇 | Get Python Notes + Projects
660.7K
Followers
50%
18
Following
1.5K
Posts
47%
In this overview, @kimlimhl is currently leading the comparison with stronger numbers in 3 out of 3 primary metrics. The percentage bars reflect each account's share relative to the combined total of both profiles.
Top Performing Posts
Python for Beginners – Start Your Coding Journey Today! An easy-to-understand, beginner-friendly Python guide 🔥 Swipe through to learn: ✅ What is Python? ✅ Top Features & Real-World Applications ✅ How to Install Python ✅ Running Your First Program 📚 Table of Contents included to guide your learning path! 💬 Want the full guide? Comment "Guide" and I’ll DM you the link!
@kimlimhl's best post achieved 60.4K likes, which is 40.2K more than @pycode.hubb's top post at 20.2K likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.
Key Metrics Comparison
In this head-to-head comparison, @kimlimhl wins 5 out of 6 categories while @pycode.hubb takes 1. @kimlimhl leads overall, but @pycode.hubb shows notable strength in Avg Comments.
The most significant gap appears in Following, where @kimlimhl leads by 98%.
Hashtag Performance
3
With Hashtags
9
Without Hashtags
3
With Hashtags
9
Without Hashtags
Both accounts employ hashtag strategies. @kimlimhl uses an average of 0.9 hashtags per post compared to @pycode.hubb's 0.3.
@kimlimhl has a more effective hashtag strategy
Engagement Trend
-99.8%
Engagement change
Likes
Comments
-74.3%
Engagement change
Likes
Comments
@kimlimhl shows a significant -99.8% engagement decline. This sharp drop may be influenced by one or more viral older posts that inflated the historical average, rather than indicating a genuine loss of audience interest.
@pycode.hubb shows a significant -74.3% engagement decline. This sharp drop may be influenced by one or more viral older posts that inflated the historical average, rather than indicating a genuine loss of audience interest.
Overall, @pycode.hubb demonstrates the stronger engagement trajectory in this comparison.
Posting Frequency
@kimlimhl
@pycode.hubb
Both accounts post approximately 12.0 and 12.0 times per week respectively. @pycode.hubb achieves a higher consistency score of 10%, meaning their posting schedule is more predictable.
@kimlimhl is most active on Sunday, while @pycode.hubb prefers Tuesday.
Advanced Analytics
The Authority Score is calculated from five weighted factors: Reach (max 25), Engagement (max 30), Follower-to-Following Ratio (max 20), Consistency (max 15), and Verification status (max 10). Scores above 80 are rated "Elite".
Account Classification
660.8K followers
Range: 500K-1M
@kimlimhl
660.7K followers
Range: 500K-1M
@pycode.hubb
The Influence Index reflects an account's overall impact potential on a scale of 1-100, combining audience size with engagement quality and content activity.
Engagement Quality
@kimlimhl
0.87%
Benchmark: 0.5-1%
@pycode.hubb
0.74%
Benchmark: 0.5-1%
Following/Followers Ratio
@kimlimhl
0.0015
Very influential
@pycode.hubb
1:36.7K
Very influential
Content Density(posts per 1K followers)
@kimlimhl
2.60
Active@pycode.hubb
2.30
ActiveContent Density measures total posts per 1,000 followers. Higher values indicate more prolific content creation relative to audience size. Celebrity accounts typically show low density due to massive follower counts.
Expert Verdict & Conclusion
Overall Analysis:
After analyzing all available metrics across 5 categories, @kimlimhl emerges as the clear leader in this comparison with 4 metric wins compared to @pycode.hubb's 1.
@kimlimhl
@kimlimhl excels in: Followers, Engagement Rate, Posts, Avg Likes.
With an engagement rate of 0.87% (benchmark for this size: 0.5-1%), this profile demonstrates below-average audience interaction.
@pycode.hubb
@pycode.hubb excels in: Avg Comments.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @kimlimhl has the larger audience (660.8K followers), @kimlimhl generates deeper engagement per post (0.87%). Both accounts represent significant influence within their space on Instagram.
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Detailed answers about this specific comparison and metrics
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