GitHub vs Learn Destinations by BVIRAL — Instagram Profile Comparison

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

This page provides a detailed Instagram comparison between @github (GitHub) and @learn (Learn Destinations by BVIRAL). With 778.3K and 3.9M 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.

778.3K

Followers

17%

54

Following

12

Posts

50%

ComparisonTrailing
Leader

@Learn about amazing travel and hotel destinations. Follow us for daily inspiration and beautiful locations to spark your wanderlust. Submit videos 👇🏽

3.9M

Followers

83%

80

Following

12

Posts

50%

ComparisonLeading

In this overview, @learn 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 @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
263
Top post by @learn

Whale Breach Perfectly Timed with a Lesson about Karma 🎥 @lexiepro_tennis Interested in travel? @lost_in_travel is your go-to for in-the-know spots, locals-only experiences, and exclusive finds that savvy travelers crave. Skip the tourist traps and follow along to explore the world like an insider.

@learn
401
1
🏆 134K likesVS401 likes

@github's best post achieved 134K likes, which is 133.6K more than @learn's top post at 401 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(3 wins)
VS
(2 wins)@learn
778.3K
Followers
80% ahead
3.9M
54
Following
33% ahead
80
12
Total Posts
12
1.91%
Engagement Rate
100% ahead
0.00%
14.8K
Avg Likes
100% ahead
68
77
Avg Comments
99% ahead
1
🏆 github3 - 2learn

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

The most significant gap appears in Engagement Rate, where @github leads by 100%.

Hashtag Performance

Better Strategy
@github

1

With Hashtags

11

Without Hashtags

Avg per post0.1
Avg Likes2.9K
Avg Comments25
Hashtags don't help
#maythe4th
@learn

0

With Hashtags

12

Without Hashtags

Avg per post0.0
Avg Likes0
Avg Comments0
Hashtags don't help

@github uses an average of 0.1 hashtags per post, while @learn does not currently use hashtags. The data shows that hashtags don't impact engagement for @github.

Engagement Trend

@github
Declining

-79.7%

Engagement change

-80%

Likes

-11%

Comments

Older posts avg24.8K
Recent posts avg5K
Better Trend
@learn
Growing

+117.4%

Engagement change

+120%

Likes

-50%

Comments

Older posts avg43
Recent posts avg94

@github shows a significant -79.7% 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.

@learn shows a positive 117.4% engagement growth, indicating increasing audience interest and content resonance.

Overall, @learn 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%

@learn

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Monday
Consistency23%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @learn achieves a higher consistency score of 23%, meaning their posting schedule is more predictable.

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

Advanced Analytics

Authority Score
Winner
62
Expert
@github
Reach20/25
Engagement10/30
Ratio20/20
Consistency2/15
Verification10/10
Authority Score
44
Established
@learn
Reach22/25
Engagement0/30
Ratio20/20
Consistency2/15
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

Large

778.3K followers

Range: 500K-1M

@github

Mega

3.9M followers

Range: 1M-10M

@learn

Influence Index
Winner
70
/ 100
@github
Influence Index
50
/ 100
@learn

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

1.91%

Benchmark: 0.5-1%

Average

@learn

0.00%

Benchmark: 0.2-0.5%

Low

Following/Followers Ratio

@github

1:14.4K

Very influential

Excellent

@learn

1:48.6K

Very influential

Excellent

Content Density(posts per 1K followers)

@github

0.02

Low

@learn

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


@github

@github excels in: Engagement Rate, Avg Likes, Avg Comments.

With an engagement rate of 1.91% (benchmark for this size: 0.5-1%), this profile demonstrates good audience interaction.

Engagement RateAvg LikesAvg Comments

@learn

@learn excels in: Followers.

Followers

Conclusion

This comparison highlights that Instagram success is multifaceted. While @learn has the larger audience (3.9M followers), @github generates deeper engagement per post (1.91%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @github vs @learn

Detailed answers about this specific comparison and metrics

Based on our real-time data, learn leads the follower count with a difference of 3,112,079 followers. Specifically, @github has 778,336 followers while @learn has 3,890,415 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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