Accounts Expert vs Akash β€’ Python & Tech Enthusiast πŸš€ β€” Instagram Profile Comparison

Compare Accounts Expert and Akash β€’ Python & Tech Enthusiast πŸš€ Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.

This page provides a detailed Instagram comparison between @accounts_experrt (Accounts Expert) and @pycode.hubb (Akash β€’ Python & Tech Enthusiast πŸš€). With 661.4K and 661.4K 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.

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VS
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Profile Overview

πŸ”ΉBest at Accounting, Finance & Data Analytics πŸ”ΉWe're Open for Corporate Trainings 🌍 Trained 50K Students πŸ‘‰For Collab - admin@accountsexpertapp.com

661.4K

Followers

50%

11

Following

1.3K

Posts

46%

ComparisonTrailing
Leader

πŸ‘¨β€πŸ’» | Learn Python, ML, and AI Fast πŸ“© | Work: contact@legitpython.com πŸ‘‡ | Get Python Notes + Projects

661.4K

Followers

50%

18

Following

1.5K

Posts

54%

ComparisonLeading

In this overview, @pycode.hubb is currently leading the comparison with stronger numbers in 2 out of 3 primary metrics. The percentage bars reflect each account's share relative to the combined total of both profiles.

Top Performing Posts

Winner
Top post by @accounts_experrt

βœ…Map Chart in Excel πŸ“£ 🚨 Big Announcement! – MS Excel Live Course (Basic to Advanced) 🚨 Are you ready to master MS Excel from scratch and become job-ready with real-world Excel skills? βœ… Formulas | βœ… Charts | βœ… Pivot Tables | βœ… Dashboards | βœ… Data Cleaning | βœ… Automation | βœ… Sh

@accounts_experrt
233.4K
5K
Top post by @pycode.hubb

Python for Beginners – Start Your Coding Journey Today! An easy-to-understand, beginner-friendly Python guide πŸ”₯ Swipe through to learn: βœ… What is Python? βœ… Top Features & Real-World Applications βœ… How to Install Python βœ… Running Your First Program πŸ“š Table of Contents included to guide your learning path! πŸ’¬ Want the full guide? Comment "Guide" and I’ll DM you the link!

@pycode.hubb
20.2K
14.2K
πŸ† 233.4K likesVS20.2K likes

@accounts_experrt's best post achieved 233.4K likes, which is 213.2K 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

@accounts_experrt(3 wins)
VS
(3 wins)@pycode.hubb
661.4K
Followers
661.4K
11
Following
β†’ 39% ahead
18
1.3K
Total Posts
β†’ 14% ahead
1.5K
6.23%
Engagement Rate
← 88% ahead
0.73%
40.5K
Avg Likes
← 91% ahead
3.6K
730
Avg Comments
β†’ 40% ahead
1.2K
accounts_experrt3 - 3pycode.hubb

In this head-to-head comparison, each account wins 3 out of 6 categories β€” an evenly matched comparison with each account excelling in different areas.

The most significant gap appears in Avg Likes, where @accounts_experrt leads by 91%.

Hashtag Performance

@accounts_experrt

0

With Hashtags

12

Without Hashtags

Avg per post0.0
Avg Likes0
Avg Comments0
Hashtags don't help
Better Strategy
@pycode.hubb

3

With Hashtags

9

Without Hashtags

Avg per post0.6
Avg Likes3.7K
Avg Comments73
Hashtags don't help
#python3#dreamina#dreaminapartner#seedance#dreaminaseedance2

@pycode.hubb uses an average of 0.6 hashtags per post, while @accounts_experrt does not currently use hashtags. The data shows that hashtags don't impact engagement for @pycode.hubb.

Engagement Trend

@accounts_experrt
Declining

-98.9%

Engagement change

-99%

Likes

-81%

Comments

Older posts avg81.5K
Recent posts avg931
Better Trend
@pycode.hubb
Declining

-86.5%

Engagement change

-81%

Likes

-99%

Comments

Older posts avg8.5K
Recent posts avg1.1K

@accounts_experrt shows a significant -98.9% 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 -86.5% 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

@accounts_experrt

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Saturday
Consistency16%

@pycode.hubb

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Thursday
Consistency11%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @accounts_experrt achieves a higher consistency score of 16%, meaning their posting schedule is more predictable.

@accounts_experrt is most active on Saturday, while @pycode.hubb prefers Thursday.

Advanced Analytics

Authority Score
Winner
82
Elite
@accounts_experrt
Reach20/25
Engagement27/30
Ratio20/20
Consistency15/15
Verification0/10
Authority Score
70
Expert
@pycode.hubb
Reach20/25
Engagement5/30
Ratio20/20
Consistency15/15
Verification10/10

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

Large

661.4K followers

Range: 500K-1M

@accounts_experrt

Large

661.4K followers

Range: 500K-1M

@pycode.hubb

Influence Index
Winner
75
/ 100
@accounts_experrt
Influence Index
64
/ 100
@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

@accounts_experrt

6.23%

Benchmark: 0.5-1%

Excellent

@pycode.hubb

0.73%

Benchmark: 0.5-1%

Low

Following/Followers Ratio

@accounts_experrt

1:60.1K

Very influential

Excellent

@pycode.hubb

1:36.7K

Very influential

Excellent

Content Density(posts per 1K followers)

@accounts_experrt

1.97

Active

@pycode.hubb

2.30

Active

Content 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, @accounts_experrt emerges as the narrow leader in this comparison with 3 metric wins compared to @pycode.hubb's 2.


@accounts_experrt

@accounts_experrt excels in: Followers, Engagement Rate, Avg Likes.

With an engagement rate of 6.23% (benchmark for this size: 0.5-1%), this profile demonstrates excellent audience interaction.

FollowersEngagement RateAvg Likes

@pycode.hubb

@pycode.hubb excels in: Posts, Avg Comments.

PostsAvg Comments

Conclusion

This comparison highlights that Instagram success is multifaceted. While @accounts_experrt has the larger audience (661.4K followers), @accounts_experrt generates deeper engagement per post (6.23%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @accounts_experrt vs @pycode.hubb

Detailed answers about this specific comparison and metrics

Based on our real-time data, accounts_experrt leads the follower count with a difference of 40 followers. Specifically, @accounts_experrt has 661,422 followers while @pycode.hubb has 661,382 followers. Follower count is one of the most visible Instagram metrics and indicates the overall reach of each account. However, a higher follower count doesn't always mean better performance β€” engagement rate and content quality are equally important factors to consider when comparing Instagram profiles.

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