今日好き@ABEMA vs Python Programming — Instagram Profile Comparison

Compare 今日好き@ABEMA and Python Programming Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.

This page provides a detailed Instagram comparison between @kyousuki_official (今日好き@ABEMA) 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.

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VS
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Profile Overview

Leader

#今日好き 💘は #ABEMA にて 毎週月曜よる9時〜"無料"放送中✨ ♡ーーーーーーーーーーーーー♡ 『今日、好きになりました。』     公式Instagram ♡ーーーーーーーーーーーーー♡ 【 #クライストチャーチ編 】‎🩷 4/6(月)よる9時からスタート!

1.2M

Followers

50%

477

Following

2.5K

Posts

63%

ComparisonLeading

💻• Learn Python & AI 🤖 📥• Collab - DM or pythoncoder85@gmail.com 👇 Join Telegram Channel 👇

1.2M

Followers

50%

70

Following

1.5K

Posts

37%

ComparisonTrailing

In this overview, @kyousuki_official 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 @kyousuki_official

#はるねね カップル成立おめでとう💐 お互いのことを知るたびに 大きくなっていった"好き"の気持ち。 ねねの一途な想いが実り マクタン編からの再会で成立👏 末永くお幸せに…💖 ━ ━ 𝗠𝗘𝗠𝗕𝗘𝗥 ━ ━ 葛西杏也菜 ( あやな ) @ayana_kasai_official 小林ゆあ ( ゆあ ) @yua__46_ 紗和 ( さわ ) @28_sawa 白石乙華 ( おとは ) @otoha_0210_ 瀬川陽菜乃 ( ひなの ) @ponpon___2008 時田音々 ( ねね ) @tokita_nene 米澤りあ ( りあ ) @yonezawa_ria 今井暖大 ( はると ) @harutosroom 榎田一王 ( いおう ) @iou025 曽根凌輔 ( りょうすけ ) @ryou_ske0829 谷本晴 ( はる ) @halgym.ex 中村圭佑 ( けいすけ ) @keiiii_.22 中村駿希 ( とき ) @ntk10_24 ━ ━ ━ ━ ━ ━ ━ ━ #今日好きになりました #今日好き #卒業編2026

@kyousuki_official
354.7K
706
Top post by @python.coder_

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 #artificialinte

@python.coder_
39.6K
5.4K
🏆 354.7K likesVS39.6K likes

@kyousuki_official's best post achieved 354.7K likes, which is 315.1K more than @python.coder_'s top post at 39.6K likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.

Key Metrics Comparison

@kyousuki_official(4 wins)
VS
(2 wins)@python.coder_
1.2M
Followers
1.2M
477
Following
85% ahead
70
2.5K
Total Posts
40% ahead
1.5K
9.83%
Engagement Rate
94% ahead
0.57%
117.1K
Avg Likes
95% ahead
6K
205
Avg Comments
72% ahead
737
🏆 kyousuki_official4 - 2python.coder_

In this head-to-head comparison, @kyousuki_official wins 4 out of 6 categories while @python.coder_ takes 2. @kyousuki_official leads overall, but @python.coder_ shows notable strength in Followers.

The most significant gap appears in Avg Likes, where @kyousuki_official leads by 95%.

Hashtag Performance

@kyousuki_official

12

With Hashtags

0

Without Hashtags

Avg per post3.8
Avg Likes117.1K
Avg Comments205
Hashtags boost engagement
#今日好き#今日好きになりました#卒業編2026#クライストチャーチ編#高校生
Better Strategy
@python.coder_

11

With Hashtags

1

Without Hashtags

Avg per post5.3
Avg Likes6.5K
Avg Comments803
Hashtags boost engagement
#artificialintelligence#engineer#datascience#ai#python3

Both accounts employ hashtag strategies. @kyousuki_official uses an average of 3.8 hashtags per post compared to @python.coder_'s 5.3.

@python.coder_ has a more effective hashtag strategy

Engagement Trend

Better Trend
@kyousuki_official
Declining

-43.1%

Engagement change

-43%

Likes

-43%

Comments

Older posts avg149.6K
Recent posts avg85.1K
@python.coder_
Declining

-98.6%

Engagement change

-100%

Likes

-85%

Comments

Older posts avg13.4K
Recent posts avg188

@kyousuki_official shows a moderate -43.1% engagement decline, which is common for accounts adjusting their content strategy.

@python.coder_ shows a significant -98.6% 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, @kyousuki_official demonstrates the stronger engagement trajectory in this comparison.

Posting Frequency

@kyousuki_official

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Tuesday
Consistency49%

@python.coder_

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Monday
Consistency8%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @kyousuki_official achieves a higher consistency score of 49%, meaning their posting schedule is more predictable.

This significant consistency gap suggests that @kyousuki_official follows a more disciplined content calendar, which typically results in better algorithm favorability on Instagram.

@kyousuki_official is most active on Tuesday, while @python.coder_ prefers Monday.

Advanced Analytics

Authority Score
Winner
94
Elite
@kyousuki_official
Reach22/25
Engagement27/30
Ratio20/20
Consistency15/15
Verification10/10
Authority Score
62
Expert
@python.coder_
Reach22/25
Engagement5/30
Ratio20/20
Consistency15/15
Verification0/10

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

Mega

1.2M followers

Range: 1M-10M

@kyousuki_official

Mega

1.2M followers

Range: 1M-10M

@python.coder_

Influence Index
Winner
95
/ 100
@kyousuki_official
Influence Index
53
/ 100
@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

@kyousuki_official

9.83%

Benchmark: 0.2-0.5%

Excellent

@python.coder_

0.57%

Benchmark: 0.2-0.5%

Low

Following/Followers Ratio

@kyousuki_official

1:2.5K

Very influential

Excellent

@python.coder_

1:17K

Very influential

Excellent

Content Density(posts per 1K followers)

@kyousuki_official

2.10

Active

@python.coder_

1.26

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, @kyousuki_official emerges as the narrow leader in this comparison with 3 metric wins compared to @python.coder_'s 2.


@kyousuki_official

@kyousuki_official excels in: Engagement Rate, Posts, Avg Likes.

With an engagement rate of 9.83% (benchmark for this size: 0.2-0.5%), this profile demonstrates excellent audience interaction.

Engagement RatePostsAvg Likes

@python.coder_

@python.coder_ excels in: Followers, Avg Comments.

FollowersAvg Comments

Conclusion

This comparison highlights that Instagram success is multifaceted. While @python.coder_ has the larger audience (1.2M followers), @kyousuki_official generates deeper engagement per post (9.83%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @kyousuki_official vs @python.coder_

Detailed answers about this specific comparison and metrics

Based on our real-time data, python.coder_ leads the follower count with a difference of 61 followers. Specifically, @kyousuki_official has 1,193,305 followers while @python.coder_ has 1,193,366 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 — engagement rate and content quality are equally important factors to consider when comparing Instagram profiles.

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