Ankit Dungawat vs Matt Mathews — Instagram Profile Comparison
Compare Ankit Dungawat and Matt Mathews 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 @matt_mathews (Matt Mathews). With 674.8K and 3.4M 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.
Profile Overview
💻 Coding Made Simple & Fun 🧑🚀 Founder – @rapiddmofficial 🤝 DM for Collabs & Promotions ✉️ CodeWithRandom@gmail.com
674.8K
Followers
17%
2.2K
Following
12
Posts
50%
Comedian. Musician. Farmer. @mattmathewsco • @mattmathewshq
3.4M
Followers
83%
888
Following
12
Posts
50%
Both accounts show evenly matched primary metrics in this overview, with each profile holding the advantage in different areas.
Top Performing Posts
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
@matt_mathews's best post achieved 346.5K likes, which is 346.5K 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
In this head-to-head comparison, @matt_mathews wins 4 out of 6 categories while @codewith_random takes 1. @matt_mathews leads overall, but @codewith_random shows notable strength in Following.
The most significant gap appears in Avg Likes, where @matt_mathews leads by 100%.
Hashtag Performance
12
With Hashtags
0
Without Hashtags
7
With Hashtags
5
Without Hashtags
Both accounts employ hashtag strategies. @codewith_random uses an average of 5.0 hashtags per post compared to @matt_mathews's 0.6.
@codewith_random has a more effective hashtag strategy
Engagement Trend
-3.4%
Engagement change
Likes
Comments
-14.9%
Engagement change
Likes
Comments
@codewith_random maintains a stable engagement trend with only 3.4% variation between older and recent posts, indicating consistent audience interaction.
@matt_mathews shows a moderate -14.9% engagement decline, which is common for accounts adjusting their content strategy.
Overall, @codewith_random demonstrates the stronger engagement trajectory in this comparison.
Posting Frequency
@codewith_random
@matt_mathews
Both accounts post approximately 12.0 and 12.0 times per week respectively. @matt_mathews achieves a higher consistency score of 72%, meaning their posting schedule is more predictable.
This significant consistency gap suggests that @matt_mathews follows a more disciplined content calendar, which typically results in better algorithm favorability on Instagram.
@codewith_random is most active on Tuesday, while @matt_mathews prefers Monday.
Advanced Analytics
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
674.8K followers
Range: 500K-1M
@codewith_random
3.4M followers
Range: 1M-10M
@matt_mathews
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
0.05%
Benchmark: 0.5-1%
@matt_mathews
2.73%
Benchmark: 0.2-0.5%
Following/Followers Ratio
@codewith_random
0.0033
Very influential
@matt_mathews
1:3.8K
Very influential
Content Density(posts per 1K followers)
@codewith_random
0.02
Low@matt_mathews
0.00
LowContent 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, @matt_mathews emerges as the clear leader in this comparison with 4 metric wins compared to @codewith_random's 0.
@codewith_random
No leading metrics in this comparison
@matt_mathews
@matt_mathews excels in: Followers, Engagement Rate, Avg Likes, Avg Comments.
With an engagement rate of 2.73% (benchmark for this size: 0.2-0.5%), this profile demonstrates good audience interaction.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @matt_mathews has the larger audience (3.4M followers), @matt_mathews generates deeper engagement per post (2.73%). Both accounts represent significant influence within their space on Instagram.
Other Comparisons You Might Like
Account comparisons in the same category as @codewith_random
FAQ About @codewith_random vs @matt_mathews
Detailed answers about this specific comparison and metrics
Still have questions?
Contact us