Python vs Дилшод Шарипов — Instagram Profile Comparison
Compare Python and Дилшод Шарипов Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.
This page provides a detailed Instagram comparison between @pythonlearnerr (Python) and @taj_deeshay (Дилшод Шарипов). With 661.5K 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.
Profile Overview
💻• Learn Python Programming | AI 📥 • Collab - DM or pythonlearnerr85@gmail.com 👇 Join Telegram Channel 👇
661.5K
Followers
50%
55
Following
946
Posts
71%
➖29 years | official instagram account ➖📥 сотрудничества @pr.deeshay ➖ Продажа телефон @km_mobile_0101 ➖Ютуб 👇🏿
661.4K
Followers
50%
0
Following
390
Posts
29%
In this overview, @pythonlearnerr 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
@taj_deeshay's best post achieved 21.2K likes, which is 21.2K more than @pythonlearnerr's top post at -1 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, @pythonlearnerr wins 4 out of 6 categories while @taj_deeshay takes 2. @pythonlearnerr leads overall, but @taj_deeshay shows notable strength in Engagement Rate.
The most significant gap appears in Following, where @pythonlearnerr leads by 100%.
Hashtag Performance
11
With Hashtags
1
Without Hashtags
0
With Hashtags
12
Without Hashtags
@pythonlearnerr uses an average of 4.4 hashtags per post, while @taj_deeshay does not currently use hashtags. The data shows that hashtags boost engagement for @pythonlearnerr.
Engagement Trend
-55.5%
Engagement change
Likes
Comments
-61.0%
Engagement change
Likes
Comments
@pythonlearnerr shows a significant -55.5% 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.
@taj_deeshay shows a significant -61.0% 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, @pythonlearnerr demonstrates the stronger engagement trajectory in this comparison.
Posting Frequency
@pythonlearnerr
@taj_deeshay
Both accounts post approximately 12.0 and 12.0 times per week respectively. @pythonlearnerr achieves a higher consistency score of 57%, meaning their posting schedule is more predictable.
@pythonlearnerr is most active on Sunday, while @taj_deeshay prefers Monday.
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
661.5K followers
Range: 500K-1M
@pythonlearnerr
661.4K followers
Range: 500K-1M
@taj_deeshay
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
@pythonlearnerr
0.16%
Benchmark: 0.5-1%
@taj_deeshay
1.22%
Benchmark: 0.5-1%
Following/Followers Ratio
@pythonlearnerr
1:12K
Very influential
@taj_deeshay
1:InfinityM
Very influential
Content Density(posts per 1K followers)
@pythonlearnerr
1.43
Active@taj_deeshay
0.59
ModerateContent 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, @pythonlearnerr emerges as the narrow leader in this comparison with 3 metric wins compared to @taj_deeshay's 2.
@pythonlearnerr
@pythonlearnerr excels in: Followers, Posts, Avg Comments.
@taj_deeshay
@taj_deeshay excels in: Engagement Rate, Avg Likes.
With an engagement rate of 1.22% (benchmark for this size: 0.5-1%), this profile demonstrates good audience interaction.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @pythonlearnerr has the larger audience (661.5K followers), @taj_deeshay generates deeper engagement per post (1.22%). Both accounts represent significant influence within their space on Instagram.
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