GitHub vs Logan Paul 2 — Instagram Profile Comparison

Compare GitHub and Logan Paul 2 Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.

This page provides a detailed Instagram comparison between @github (GitHub) and @moreloganpaul (Logan Paul 2). With 767.1K 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.

767.1K

Followers

17%

54

Following

12

Posts

50%

ComparisonTrailing
Leader

stay hydrated @drinkprime

3.8M

Followers

83%

47

Following

12

Posts

50%

ComparisonLeading

Both accounts show evenly matched primary metrics in this overview, with each profile holding the advantage in different areas.

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
134.1K
262
Winner
Top post by @moreloganpaul

This is the grail 1st Edition Jungle card… congrats to @edcplug for pulling this HEATER 🐳

@moreloganpaul
281K
632
134.1K likesVS281K likes 🏆

@moreloganpaul's best post achieved 281K likes, which is 146.9K more than @github's top post at 134.1K 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(2 wins)
VS
(3 wins)@moreloganpaul
767.1K
Followers
80% ahead
3.8M
54
Following
13% ahead
47
12
Total Posts
12
1.66%
Engagement Rate
17% ahead
1.38%
12.7K
Avg Likes
76% ahead
52.7K
47
Avg Comments
88% ahead
387
github2 - 3🏆 moreloganpaul

In this head-to-head comparison, @moreloganpaul wins 3 out of 6 categories while @github takes 2. @moreloganpaul leads overall, but @github shows notable strength in Following.

The most significant gap appears in Avg Comments, where @moreloganpaul leads by 88%.

Hashtag Performance

@github

1

With Hashtags

11

Without Hashtags

Avg per post0.1
Avg Likes2.5K
Avg Comments25
Hashtags don't help
#maythe4th
@moreloganpaul

1

With Hashtags

11

Without Hashtags

Avg per post0.1
Avg Likes7.7K
Avg Comments80
Hashtags don't help
#primepartner

Both accounts employ hashtag strategies. @github uses an average of 0.1 hashtags per post compared to @moreloganpaul's 0.1.

Engagement Trend

@github
Declining

-96.6%

Engagement change

-97%

Likes

-84%

Comments

Older posts avg24.7K
Recent posts avg827
Better Trend
@moreloganpaul
Growing

+86.6%

Engagement change

+87%

Likes

+9%

Comments

Older posts avg37.1K
Recent posts avg69.1K

@github shows a significant -96.6% 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.

@moreloganpaul shows a positive 86.6% engagement growth, indicating increasing audience interest and content resonance.

Overall, @moreloganpaul 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%

@moreloganpaul

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Sunday
Consistency28%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @moreloganpaul achieves a higher consistency score of 28%, meaning their posting schedule is more predictable.

Advanced Analytics

Authority Score
62
Expert
@github
Reach20/25
Engagement10/30
Ratio20/20
Consistency2/15
Verification10/10
Authority Score
Winner
64
Expert
@moreloganpaul
Reach22/25
Engagement10/30
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

767.1K followers

Range: 500K-1M

@github

Mega

3.8M followers

Range: 1M-10M

@moreloganpaul

Influence Index
68
/ 100
@github
Influence Index
Winner
72
/ 100
@moreloganpaul

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

@moreloganpaul

1.38%

Benchmark: 0.2-0.5%

Average

Following/Followers Ratio

@github

1:14.2K

Very influential

Excellent

@moreloganpaul

1:81.6K

Very influential

Excellent

Content Density(posts per 1K followers)

@github

0.02

Low

@moreloganpaul

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, @moreloganpaul emerges as the clear leader in this comparison with 3 metric wins compared to @github's 1.


@github

@github excels in: Engagement Rate.

With an engagement rate of 1.66% (benchmark for this size: 0.5-1%), this profile demonstrates good audience interaction.

Engagement Rate

@moreloganpaul

@moreloganpaul excels in: Followers, Avg Likes, Avg Comments.

FollowersAvg LikesAvg Comments

Conclusion

This comparison highlights that Instagram success is multifaceted. While @moreloganpaul has the larger audience (3.8M followers), @github generates deeper engagement per post (1.66%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @github vs @moreloganpaul

Detailed answers about this specific comparison and metrics

Based on our real-time data, moreloganpaul leads the follower count with a difference of 3,067,082 followers. Specifically, @github has 767,102 followers while @moreloganpaul has 3,834,184 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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