Ankit Dungawat vs Paula Wolf — Instagram Profile Comparison
Compare Ankit Dungawat and Paula Wolf 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 @paulawwolf (Paula Wolf). With 664.2K and 664.3K 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.
Profile Overview
💻 Coding Made Simple & Fun 🧑🚀 Founder – @rapiddmofficial 🤝 DM for Collabs & Promotions ✉️ CodeWithRandom@gmail.com
664.2K
Followers
50%
2.2K
Following
1.9K
Posts
64%
💄 Hallöchen ich bin Paula! 🐺 Founder: @wolferabypaula 📥 management@paulawwolf.com ⬇️ Schau vorbei
664.3K
Followers
50%
685
Following
1.1K
Posts
36%
In this overview, @codewith_random 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
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
@paulawwolf's best post achieved 143.6K likes, which is 143.6K 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
In this head-to-head comparison, @paulawwolf wins 4 out of 6 categories while @codewith_random takes 2. @paulawwolf leads overall, but @codewith_random shows notable strength in Following.
The most significant gap appears in Avg Likes, where @paulawwolf leads by 100%.
Hashtag Performance
11
With Hashtags
1
Without Hashtags
2
With Hashtags
10
Without Hashtags
Both accounts employ hashtag strategies. @codewith_random uses an average of 4.6 hashtags per post compared to @paulawwolf's 0.3.
@codewith_random has a more effective hashtag strategy
Engagement Trend
+185.9%
Engagement change
Likes
Comments
-64.6%
Engagement change
Likes
Comments
@codewith_random shows a positive 185.9% engagement growth, indicating increasing audience interest and content resonance.
@paulawwolf shows a significant -64.6% 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
@paulawwolf
Both accounts post approximately 12.0 and 12.0 times per week respectively. @codewith_random achieves a higher consistency score of 13%, meaning their posting schedule is more predictable.
@codewith_random is most active on Saturday, while @paulawwolf prefers Friday.
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
664.2K followers
Range: 500K-1M
@codewith_random
664.3K followers
Range: 500K-1M
@paulawwolf
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
0.04%
Benchmark: 0.5-1%
@paulawwolf
2.78%
Benchmark: 0.5-1%
Following/Followers Ratio
@codewith_random
0.0033
Very influential
@paulawwolf
0.0010
Very influential
Content Density(posts per 1K followers)
@codewith_random
2.92
Active@paulawwolf
1.63
ActiveContent 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, @paulawwolf emerges as the clear leader in this comparison with 4 metric wins compared to @codewith_random's 1.
@codewith_random
@codewith_random excels in: Posts.
@paulawwolf
@paulawwolf excels in: Followers, Engagement Rate, Avg Likes, Avg Comments.
With an engagement rate of 2.78% (benchmark for this size: 0.5-1%), this profile demonstrates good audience interaction.
Conclusion
This comparison highlights that Instagram success is multifaceted. While @paulawwolf has the larger audience (664.3K followers), @paulawwolf generates deeper engagement per post (2.78%). Both accounts represent significant influence within their space on Instagram.
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Detailed answers about this specific comparison and metrics
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