GitHub vs 정채연 — Instagram Profile Comparison

Compare GitHub and 정채연 Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.

This page provides a detailed Instagram comparison between @github (GitHub) and @j_chaeyeoni (정채연). With 766K and 3.8M followers respectively, both accounts are classified as Large and Mega level Instagram profiles. Our analysis covers key areas including follower statistics, engagement rates, posting frequency, hashtag strategy, and authority scores.

@
VS
@

Profile Overview

The AI-powered developer platform to build, scale, and deliver secure software.

766K

Followers

17%

54

Following

12

Posts

50%

ComparisonTrailing
Leader

3.8M

Followers

83%

228

Following

12

Posts

50%

ComparisonLeading

In this overview, @j_chaeyeoni 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

Top post by @github

When your dad breaks Minecraft. And the internet. Watch the full interview about the biggest security vulnerability of all time at the link in bio.

@github
134K
262
Winner
Top post by @j_chaeyeoni

🐥☀️

@j_chaeyeoni
364K
885
134K likesVS364K likes 🏆

@j_chaeyeoni's best post achieved 364K likes, which is 230K more than @github's top post at 134K likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.

Key Metrics Comparison

@github(0 wins)
VS
(5 wins)@j_chaeyeoni
766K
Followers
80% ahead
3.8M
54
Following
76% ahead
228
12
Total Posts
12
1.66%
Engagement Rate
65% ahead
4.74%
12.7K
Avg Likes
93% ahead
180.8K
47
Avg Comments
91% ahead
501
github0 - 5🏆 j_chaeyeoni

In this head-to-head comparison, @j_chaeyeoni wins 5 out of 6 categories while @github takes 0. @j_chaeyeoni leads overall, but @github shows notable strength in —.

The most significant gap appears in Avg Likes, where @j_chaeyeoni leads by 93%.

Hashtag Performance

@github

2

With Hashtags

10

Without Hashtags

Avg per post0.2
Avg Likes1.4K
Avg Comments19
Hashtags don't help
#maythe4th#githubuniverse
Better Strategy
@j_chaeyeoni

4

With Hashtags

8

Without Hashtags

Avg per post0.8
Avg Likes108K
Avg Comments490
Hashtags don't help
#miumiu#miuarcadie#ioi#ioi_loop#suddenly

Both accounts employ hashtag strategies. @github uses an average of 0.2 hashtags per post compared to @j_chaeyeoni's 0.8.

@j_chaeyeoni has a more effective hashtag strategy

Engagement Trend

@github
Declining

-95.4%

Engagement change

-95%

Likes

-81%

Comments

Older posts avg24.3K
Recent posts avg1.1K
Better Trend
@j_chaeyeoni
Declining

-30.8%

Engagement change

-31%

Likes

-2%

Comments

Older posts avg214.3K
Recent posts avg148.2K

@github shows a significant -95.4% 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.

@j_chaeyeoni shows a moderate -30.8% engagement decline, which is common for accounts adjusting their content strategy.

Overall, @j_chaeyeoni demonstrates the stronger engagement trajectory in this comparison.

Posting Frequency

@github

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Sunday
Consistency15%

@j_chaeyeoni

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Monday
Consistency54%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @j_chaeyeoni achieves a higher consistency score of 54%, meaning their posting schedule is more predictable.

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

@github is most active on Sunday, while @j_chaeyeoni prefers Monday.

Advanced Analytics

Authority Score
62
Expert
@github
Reach20/25
Engagement10/30
Ratio20/20
Consistency2/15
Verification10/10
Authority Score
Winner
78
Expert
@j_chaeyeoni
Reach22/25
Engagement24/30
Ratio20/20
Consistency2/15
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

766K followers

Range: 500K-1M

@github

Mega

3.8M followers

Range: 1M-10M

@j_chaeyeoni

Influence Index
68
/ 100
@github
Influence Index
Winner
89
/ 100
@j_chaeyeoni

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

@github

1.66%

Benchmark: 0.5-1%

Average

@j_chaeyeoni

4.74%

Benchmark: 0.2-0.5%

Good

Following/Followers Ratio

@github

1:14.2K

Very influential

Excellent

@j_chaeyeoni

1:16.8K

Very influential

Excellent

Content Density(posts per 1K followers)

@github

0.02

Low

@j_chaeyeoni

0.00

Low

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, @j_chaeyeoni emerges as the clear leader in this comparison with 4 metric wins compared to @github's 0.


@github

No leading metrics in this comparison

@j_chaeyeoni

@j_chaeyeoni excels in: Followers, Engagement Rate, Avg Likes, Avg Comments.

With an engagement rate of 4.74% (benchmark for this size: 0.2-0.5%), this profile demonstrates excellent audience interaction.

FollowersEngagement RateAvg LikesAvg Comments

Conclusion

This comparison highlights that Instagram success is multifaceted. While @j_chaeyeoni has the larger audience (3.8M followers), @j_chaeyeoni generates deeper engagement per post (4.74%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @github vs @j_chaeyeoni

Detailed answers about this specific comparison and metrics

Based on our real-time data, j_chaeyeoni leads the follower count with a difference of 3,061,274 followers. Specifically, @github has 766,038 followers while @j_chaeyeoni has 3,827,312 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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