Ankit Dungawat vs Heismans — Instagram Profile Comparison

Compare Ankit Dungawat and Heismans 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 @heismans (Heismans). With 667.4K and 666.2K 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

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

667.4K

Followers

50%

2.2K

Following

1.9K

Posts

20%

ComparisonTrailing
Leader

Nothing but FOOTBALL. 🏈

666.2K

Followers

50%

2.5K

Following

7.8K

Posts

80%

ComparisonLeading

In this overview, @heismans 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 @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
30
Winner
Top post by @heismans

Being a Jets fan is not for the weak 😭

@heismans
101.3K
180
-1 likesVS101.3K likes 🏆

@heismans's best post achieved 101.3K likes, which is 101.3K 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(2 wins)
VS
(4 wins)@heismans
667.4K
Followers
666.2K
2.2K
Following
11% ahead
2.5K
1.9K
Total Posts
75% ahead
7.8K
0.07%
Engagement Rate
98% ahead
2.92%
-1
Avg Likes
100% ahead
19.3K
451
Avg Comments
76% ahead
109
codewith_random2 - 4🏆 heismans

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

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

Hashtag Performance

Better Strategy
@codewith_random

12

With Hashtags

0

Without Hashtags

Avg per post4.9
Avg Likes-1
Avg Comments451
Hashtags boost engagement
#webdevelopment#javascript#programming#learntocode#aitools
@heismans

7

With Hashtags

5

Without Hashtags

Avg per post1.9
Avg Likes17.5K
Avg Comments136
Hashtags don't help
#nflhighlights#nfldraft#widereceiver#collegefootball#nflcombine

Both accounts employ hashtag strategies. @codewith_random uses an average of 4.9 hashtags per post compared to @heismans's 1.9.

@codewith_random has a more effective hashtag strategy

Engagement Trend

Better Trend
@codewith_random
Growing

+27.4%

Engagement change

+0%

Likes

+27%

Comments

Older posts avg395
Recent posts avg504
@heismans
Declining

-89.6%

Engagement change

-90%

Likes

-39%

Comments

Older posts avg35.2K
Recent posts avg3.7K

@codewith_random shows a positive 27.4% engagement growth, indicating increasing audience interest and content resonance.

@heismans shows a significant -89.6% 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, @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
Tuesday
Consistency16%

@heismans

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

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

@codewith_random is most active on Tuesday, while @heismans prefers Thursday.

Advanced Analytics

Authority Score
65
Expert
@codewith_random
Reach20/25
Engagement0/30
Ratio20/20
Consistency15/15
Verification10/10
Authority Score
Winner
80
Elite
@heismans
Reach20/25
Engagement15/30
Ratio20/20
Consistency15/15
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

667.4K followers

Range: 500K-1M

@codewith_random

Large

666.2K followers

Range: 500K-1M

@heismans

Influence Index
60
/ 100
@codewith_random
Influence Index
Winner
75
/ 100
@heismans

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

@heismans

2.92%

Benchmark: 0.5-1%

Average

Following/Followers Ratio

@codewith_random

0.0033

Very influential

Excellent

@heismans

0.0037

Very influential

Excellent

Content Density(posts per 1K followers)

@codewith_random

2.92

Active

@heismans

11.75

Very 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, @heismans 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, Avg Comments.

FollowersAvg Comments

@heismans

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

With an engagement rate of 2.92% (benchmark for this size: 0.5-1%), this profile demonstrates good audience interaction.

Engagement RatePostsAvg Likes

Conclusion

This comparison highlights that Instagram success is multifaceted. While @codewith_random has the larger audience (667.4K followers), @heismans generates deeper engagement per post (2.92%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @codewith_random vs @heismans

Detailed answers about this specific comparison and metrics

Based on our real-time data, codewith_random leads the follower count with a difference of 1,168 followers. Specifically, @codewith_random has 667,404 followers while @heismans has 666,236 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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