ПОЛЕЗНЫЕ СОВЕТЫ|ЛАЙФХАКИ vs Python Programming — Instagram Profile Comparison
Compare ПОЛЕЗНЫЕ СОВЕТЫ|ЛАЙФХАКИ and Python Programming Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.
This page provides a detailed Instagram comparison between @poleznyi__blog (ПОЛЕЗНЫЕ СОВЕТЫ|ЛАЙФХАКИ) and @python.coder_ (Python Programming). With 1.2M and 1.2M followers respectively, both accounts are classified as Mega and Mega level Instagram profiles. Our analysis covers key areas including follower statistics, engagement rates, posting frequency, hashtag strategy, and authority scores.
Profile Overview
📍 Вы автор видео? Напишите — отметим 💥 №1 в мире полезных советов 🔥 Контент, который пригодится 👇 Подписывайтесь и сохраняйте
1.2M
Followers
50%
1
Following
169
Posts
10%
💻• Learn Python & AI 🤖 📥• Collab - DM or pythoncoder85@gmail. 👇🏼 one prompt, viral made. 👇
1.2M
Followers
50%
72
Following
1.5K
Posts
90%
In this overview, @python.coder_ 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
Сохрани, чтобы не забыть 🌿 Вербное воскресенье — день, который многие проводят «как обычно»… и совершают одни и те же ошибки 👇 ❗ В этот день нельзя: — ругаться и конфликтовать — устраивать шумные застолья — перегружать себя делами — игнорировать смысл праздника Но ещё важнее — что НУЖНО сделать 👇 ✔️ Освятить веточки вербы ✔️ Провести день спокойно, без суеты ✔️ Добавить в рацион рыбу (в этот день можно) 🍽 Что приготовить: рыбу, картофель с грибами, овощные блюда и постную выпечку — просто, но очень душевно 🛒 Что купить заранее: вербу, рыбу, овощи, грибы, картофель и постные продукты Главное — не еда и не традиции а состояние внутри 🙌 Спокойствие. Благодарность. Тишина. ✨ Вербу хранят дома весь год — считается, что она защищает дом Сохрани этот пост и отправь близким 🤍
Data Structures Notes 💻...Save it & Share it 🚀 .... . . 🚀 Follow us & Comment - 'py' for Python Handwritten Notes in DM 📤 . . #Computer #pythonprogramming #coders #datascience #codingbootcamp #web #engineering #developers #programmerlife #coderlife #daysofcode #artificialintelligence #android #codingmemes #robotics #design #developerlife #ai #stem #webdev #learntocode #website #dev #codingforkids #frontend #reactjs
@python.coder_'s best post achieved 39.6K likes, which is 32K more than @poleznyi__blog's top post at 7.6K 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, @python.coder_ wins 6 out of 6 categories while @poleznyi__blog takes 0. @python.coder_ leads overall, but @poleznyi__blog shows notable strength in —.
The most significant gap appears in Following, where @python.coder_ leads by 99%.
Hashtag Performance
0
With Hashtags
12
Without Hashtags
11
With Hashtags
1
Without Hashtags
@python.coder_ uses an average of 8.1 hashtags per post, while @poleznyi__blog does not currently use hashtags. The data shows that hashtags boost engagement for @python.coder_.
Engagement Trend
+511.2%
Engagement change
Likes
Comments
-97.1%
Engagement change
Likes
Comments
@poleznyi__blog shows a positive 511.2% engagement growth, indicating increasing audience interest and content resonance.
@python.coder_ shows a significant -97.1% 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, @poleznyi__blog demonstrates the stronger engagement trajectory in this comparison.
Posting Frequency
@poleznyi__blog
@python.coder_
Both accounts post approximately 12.0 and 12.0 times per week respectively. @poleznyi__blog achieves a higher consistency score of 65%, meaning their posting schedule is more predictable.
This significant consistency gap suggests that @poleznyi__blog follows a more disciplined content calendar, which typically results in better algorithm favorability on Instagram.
@poleznyi__blog is most active on Wednesday, while @python.coder_ 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
1.2M followers
Range: 1M-10M
@poleznyi__blog
1.2M followers
Range: 1M-10M
@python.coder_
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
@poleznyi__blog
0.11%
Benchmark: 0.2-0.5%
@python.coder_
0.56%
Benchmark: 0.2-0.5%
Following/Followers Ratio
@poleznyi__blog
1:1.2M
Very influential
@python.coder_
1:16.6K
Very influential
Content Density(posts per 1K followers)
@poleznyi__blog
0.14
Moderate@python.coder_
1.26
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, @python.coder_ emerges as the clear leader in this comparison with 5 metric wins compared to @poleznyi__blog's 0.
@poleznyi__blog
No leading metrics in this comparison
@python.coder_
@python.coder_ excels in: Followers, Engagement Rate, Posts, Avg Likes, Avg Comments.
With an engagement rate of 0.56% (benchmark for this size: 0.2-0.5%), this profile demonstrates below-average audience interaction.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @python.coder_ has the larger audience (1.2M followers), @python.coder_ generates deeper engagement per post (0.56%). 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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