Ankit Dungawat vs Henry Nguyen — Instagram Profile Comparison

Compare Ankit Dungawat and Henry Nguyen Instagram profiles side-by-side. Analyze followers, engagement rates, and account performance.

This page provides a detailed Instagram comparison between @codewith_random (Ankit Dungawat) and @kinghenryrn (Henry Nguyen). With 668.7K and 668.7K followers respectively, both accounts are classified as Large and Large 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

💻 Coding Made Simple & Fun 🧑‍🚀 Founder – @rapiddmofficial 🤝 DM for Collabs & Promotions ✉️ CodeWithRandom@gmail.com

668.7K

Followers

50%

2.2K

Following

1.9K

Posts

73%

ComparisonLeading

SYD 🇦🇺 📧rnreacts7318@gmail.com 🐺 @hound.ac 🎥@hound.stu

668.7K

Followers

50%

626

Following

707

Posts

27%

ComparisonTrailing

In this overview, @codewith_random 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

Top post by @codewith_random

Sketch → real UI in seconds 🤯 I had a basic idea for a sneaker website… nothing polished, just a rough sketch. Instead of designing it manually, I tested the new Uni-1 model from Luma. And this is where it gets interesting — it didn’t just generate a random design… it actually understood the structure behind what I was trying to build. Everything from layout to sections feels intentional. This feels less like prompting… and more like working with something that actually gets your idea. Compared to GPT Image 1.5 / NB Pro, this feels way more structured and usable. Generated with Luma Uni-1 🚀 And honestly… this is just 1% of what it can do. Comment “TRY” and I’ll send you the link in DM 🔥 @lumalabsai #lumaai #uni1 #aitools #generativeai #aiimages

@codewith_random
-1
32
Winner
Top post by @kinghenryrn

No caption

@kinghenryrn
87.6K
131
-1 likesVS87.6K likes 🏆

@kinghenryrn's best post achieved 87.6K likes, which is 87.6K more than @codewith_random's top post at -1 likes. A strong top post typically indicates either viral content, high audience resonance, or effective use of Instagram's recommendation algorithm.

Key Metrics Comparison

@codewith_random(3 wins)
VS
(3 wins)@kinghenryrn
668.7K
Followers
668.7K
2.2K
Following
72% ahead
626
1.9K
Total Posts
64% ahead
707
0.07%
Engagement Rate
97% ahead
2.85%
-1
Avg Likes
100% ahead
18.3K
502
Avg Comments
37% ahead
801
codewith_random3 - 3kinghenryrn

In this head-to-head comparison, each account wins 3 out of 6 categories — an evenly matched comparison with each account excelling in different areas.

The most significant gap appears in Avg Likes, where @kinghenryrn leads by 100%.

Hashtag Performance

Better Strategy
@codewith_random

12

With Hashtags

0

Without Hashtags

Avg per post4.9
Avg Likes-1
Avg Comments502
Hashtags boost engagement
#webdevelopment#programming#javascript#developertools#learntocode
@kinghenryrn

2

With Hashtags

10

Without Hashtags

Avg per post0.5
Avg Likes10.1K
Avg Comments61
Hashtags don't help
#asian#bts#handsome

Both accounts employ hashtag strategies. @codewith_random uses an average of 4.9 hashtags per post compared to @kinghenryrn's 0.5.

@codewith_random has a more effective hashtag strategy

Engagement Trend

Better Trend
@codewith_random
Growing

+123.2%

Engagement change

+0%

Likes

+123%

Comments

Older posts avg310
Recent posts avg692
@kinghenryrn
Declining

-77.3%

Engagement change

-76%

Likes

-97%

Comments

Older posts avg31.1K
Recent posts avg7.1K

@codewith_random shows a positive 123.2% engagement growth, indicating increasing audience interest and content resonance.

@kinghenryrn shows a significant -77.3% 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, @codewith_random demonstrates the stronger engagement trajectory in this comparison.

Posting Frequency

@codewith_random

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Saturday
Consistency17%

@kinghenryrn

Posts/Week
12.0
Avg Days Between
0.0
Most Active Day
Monday
Consistency13%

Both accounts post approximately 12.0 and 12.0 times per week respectively. @codewith_random achieves a higher consistency score of 17%, meaning their posting schedule is more predictable.

@codewith_random is most active on Saturday, while @kinghenryrn prefers Monday.

Advanced Analytics

Authority Score
65
Expert
@codewith_random
Reach20/25
Engagement0/30
Ratio20/20
Consistency15/15
Verification10/10
Authority Score
Winner
78
Expert
@kinghenryrn
Reach20/25
Engagement15/30
Ratio20/20
Consistency13/15
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

668.7K followers

Range: 500K-1M

@codewith_random

Large

668.7K followers

Range: 500K-1M

@kinghenryrn

Influence Index
60
/ 100
@codewith_random
Influence Index
Winner
74
/ 100
@kinghenryrn

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

@codewith_random

0.07%

Benchmark: 0.5-1%

Low

@kinghenryrn

2.85%

Benchmark: 0.5-1%

Average

Following/Followers Ratio

@codewith_random

0.0033

Very influential

Excellent

@kinghenryrn

1:1.1K

Very influential

Excellent

Content Density(posts per 1K followers)

@codewith_random

2.91

Active

@kinghenryrn

1.06

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


@codewith_random

@codewith_random excels in: Followers, Posts.

FollowersPosts

@kinghenryrn

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

With an engagement rate of 2.85% (benchmark for this size: 0.5-1%), this profile demonstrates good audience interaction.

Engagement RateAvg LikesAvg Comments

Conclusion

This comparison highlights that Instagram success is multifaceted. While @codewith_random has the larger audience (668.7K followers), @kinghenryrn generates deeper engagement per post (2.85%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @codewith_random vs @kinghenryrn

Detailed answers about this specific comparison and metrics

Based on our real-time data, codewith_random leads the follower count with a difference of 17 followers. Specifically, @codewith_random has 668,703 followers while @kinghenryrn has 668,686 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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