Rebecca vs Ankit Dungawat — Instagram Profile Comparison

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

This page provides a detailed Instagram comparison between @beccaxbloom (Rebecca) and @codewith_random (Ankit Dungawat). With 3.4M and 674.5K followers respectively, both accounts are classified as Mega 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

:¨·.·¨: `·.. 𐙚

3.4M

Followers

83%

1K

Following

12

Posts

50%

ComparisonLeading

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

674.5K

Followers

17%

2.2K

Following

12

Posts

50%

ComparisonTrailing

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

Top Performing Posts

Winner
Top post by @beccaxbloom

🧣🧸

@beccaxbloom
290.6K
706
Top post by @codewith_random

Stop searching random icons on Google — use one powerful library instead.✅ 6000+ free open-source icons you can customize, download, or use directly in code 🚀💻 👉 Comment “ICONS” and I’ll send you the link. tabler icons, free icon library, svg icons free, developer icon resources, ui icons for web, open source icons, react icons library #UIUX#WebDevelopment#FrontendDeveloper#DesignResources#DeveloperTools

@codewith_random
-1
234
🏆 290.6K likesVS-1 likes

@beccaxbloom's best post achieved 290.6K likes, which is 290.6K 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

@beccaxbloom(4 wins)
VS
(1 wins)@codewith_random
3.4M
Followers
80% ahead
674.5K
1K
Following
53% ahead
2.2K
12
Total Posts
12
4.60%
Engagement Rate
99% ahead
0.06%
153.8K
Avg Likes
100% ahead
-1
840
Avg Comments
53% ahead
397
🏆 beccaxbloom4 - 1codewith_random

In this head-to-head comparison, @beccaxbloom wins 4 out of 6 categories while @codewith_random takes 1. @beccaxbloom leads overall, but @codewith_random shows notable strength in Following.

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

Hashtag Performance

@beccaxbloom

2

With Hashtags

10

Without Hashtags

Avg per post0.3
Avg Likes110.3K
Avg Comments397
Hashtags don't help
#bvlgari#bvlgaricuore#bvlgaripartner#rcpartner
Better Strategy
@codewith_random

12

With Hashtags

0

Without Hashtags

Avg per post5.0
Avg Likes-1
Avg Comments397
Hashtags boost engagement
#programming#webdevelopment#learntocode#developertools#codingresources

Both accounts employ hashtag strategies. @beccaxbloom uses an average of 0.3 hashtags per post compared to @codewith_random's 5.0.

@codewith_random has a more effective hashtag strategy

Engagement Trend

Better Trend
@beccaxbloom
Growing

+42.0%

Engagement change

+42%

Likes

+20%

Comments

Older posts avg127.8K
Recent posts avg181.5K
@codewith_random
Declining

-23.9%

Engagement change

+0%

Likes

-24%

Comments

Older posts avg450
Recent posts avg343

@beccaxbloom shows a positive 42.0% engagement growth, indicating increasing audience interest and content resonance.

@codewith_random shows a moderate -23.9% engagement decline, which is common for accounts adjusting their content strategy.

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

Posting Frequency

@beccaxbloom

Posts/Week
12.0
Avg Days Between
0.1
Most Active Day
Sunday
Consistency21%

@codewith_random

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

Both accounts post approximately 12.0 and 12.0 times per week respectively. @beccaxbloom achieves a higher consistency score of 21%, meaning their posting schedule is more predictable.

@beccaxbloom is most active on Sunday, while @codewith_random prefers Tuesday.

Advanced Analytics

Authority Score
Winner
78
Expert
@beccaxbloom
Reach22/25
Engagement24/30
Ratio20/20
Consistency2/15
Verification10/10
Authority Score
52
Established
@codewith_random
Reach20/25
Engagement0/30
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

Mega

3.4M followers

Range: 1M-10M

@beccaxbloom

Large

674.5K followers

Range: 500K-1M

@codewith_random

Influence Index
Winner
88
/ 100
@beccaxbloom
Influence Index
60
/ 100
@codewith_random

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

@beccaxbloom

4.60%

Benchmark: 0.2-0.5%

Good

@codewith_random

0.06%

Benchmark: 0.5-1%

Low

Following/Followers Ratio

@beccaxbloom

1:3.2K

Very influential

Excellent

@codewith_random

0.0033

Very influential

Excellent

Content Density(posts per 1K followers)

@beccaxbloom

0.00

Low

@codewith_random

0.02

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


@beccaxbloom

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

With an engagement rate of 4.60% (benchmark for this size: 0.2-0.5%), this profile demonstrates excellent audience interaction.

FollowersEngagement RateAvg LikesAvg Comments

@codewith_random

No leading metrics in this comparison


Conclusion

This comparison highlights that Instagram success is multifaceted. While @beccaxbloom has the larger audience (3.4M followers), @beccaxbloom generates deeper engagement per post (4.60%). Both accounts represent significant influence within their space on Instagram.

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Analysis FAQ

FAQ About @beccaxbloom vs @codewith_random

Detailed answers about this specific comparison and metrics

Based on our real-time data, beccaxbloom leads the follower count with a difference of 2,686,164 followers. Specifically, @beccaxbloom has 3,360,640 followers while @codewith_random has 674,476 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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