@inside.code
Inside code - Algorithms
📝 Algorithms and data structures related content 🎬 YouTube channel: Inside code ⬇️ Learn about solving 2-SAT problem: ⬇️
@inside.code Profile Analysis Summary
Based on the last 12 posts
When we look at how inside.code's audience interacts with their content, we see an engagement rate of 3.06% — that's about 4.6K likes and 23 comments per post on average. Compared to similar accounts in the 100K-500K follower range (where the average sits around 1.8%), this is 70% higher, which suggests a genuinely engaged community.
Looking at content mix, about 42% of recent posts are videos and 58% are photos. Interestingly, video content tends to spark 18.9x more interaction than photos — worth noting for anyone studying this account's strategy.
On the posting side, new content shows up about every 84 days — a infrequent rhythm. Captions tend to be concise, averaging around 111 characters.
Key Metrics
150.9K
Followers
1.4K
Following
555
Total Posts
3.06%
Engagement Rate
4.6K
Avg Likes
23
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
150,879 followers
3.06% engagement rate
555 posts, 23 avg comments
107.0:1 follower ratio
Building credibility
Authority Score is an estimated metric based on 12 recent posts and public profile data. It reflects potential influence and engagement quality.
Industry Benchmark
55.1K
Total Likes
272
Total Comments
Engagement Rate
Your engagement rate is 70% above the Mid-tier (100K-500K) average. This indicates strong audience connection and content resonance.
Avg. Likes per Post
Your average likes are 43% below typical Mid-tier (100K-500K) accounts. Focus on visual quality and trending topics.
Avg. Comments per Post
Your comments are 91% below the Mid-tier (100K-500K) average. Try asking questions or creating discussion-worthy content.
Benchmarks are based on industry averages for accounts in similar follower tiers. Individual performance may vary based on niche, content type, and audience demographics.
Publishing Frequency
0.0
Posts per day
0
Posts per week
Monday
Most active day
Posts by Weekday
Top Performing Content

Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #pro...
View on Instagram

Sure losing the competition Follow @inside.code #algorithms #datastructures #computerscience #lee...
View on InstagramAnalyzed 12 posts. Top content receives 48.3K likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Videos outperform photos by 9.8K avg engagements per post.
Engagement Trend
Overall Trend
IncreasingComparing 6 older posts to 6 recent posts. Overall engagement has increased by <span class="font-medium text-green-400">1059.8</span>%
Likes Trend
+1072.7%
Before: 722 avg
After: 8.5K avg
Comments Trend
+212.1%
Before: 11 avg
After: 34 avg
Total Engagement
+1059.8%
Before: 733 avg
After: 8.5K avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 111 characters. Medium captions (101-500 chars) perform best with 6.6K avg engagements.
Hashtag Performance
With Hashtags
4
posts
Without Hashtags
8
posts
Most Used Hashtags
Average 1.1 hashtags per post. Posts with hashtags get 12.3K more avg engagements.
Growth Indicators
Account Classification
Medium InfluencerWith 150.9K followers, this account falls in the Medium category (50K-500K). Typical engagement for this tier: 1-3%
Following/Followers
0.009
ExcellentEngagement Rate
3.06%
Above averageTotal Followers
150.9K
Following 1.4K- • Very influential - follows far fewer than followers
- • Engagement rate is above the 1-3% benchmark for medium accounts
- • Average of 4.6K likes and 23 comments per post
Hashtags & Captions
Top Hashtags
Based on 12 recent posts
Top Caption Words
Common words filtered out for relevance
Content Themes
Content Mood
The overall tone of this profile's content leans towards neutral & informative with elements of romantic & emotional.
Travel & Adventure
Content related to travel destinations and adventures
Photography & Art
Focus on visual storytelling and artistic content
Family & Relationships
Content about family and relationships
Themes and mood are estimated by analyzing keywords in 12 public post captions and hashtags.
Audience Insights
Limited Data Available: Detailed audience demographics (country, age, gender) are only accessible to account owners through Instagram Insights. The data below is estimated from public content analysis.
Content Languages
Detected from 12 post captions
Audience Engagement
Based on likes-to-followers ratio
100K-1M followers
Estimated based on average engagement × 3
Audience Summary
This established account shows high engagement with primarily English content. Average post reaches an estimated 13.8K accounts.
Best Time to Post
Best performing time: Saturday 12pm
Posts during this time get highest average engagement
Based on engagement patterns from 12 posts with timestamps.
AI-Powered Analysis Summary
Key insights and performance highlights based on @inside.code's recent content
@inside.code's engagement rate of 3.06% is good compared to similar accounts. This indicates a good level of audience interaction and content effectiveness.
Content strategy is 58% focused on photos, which appears to be the strongest performing format for this profile.
Posting consistency is low with an average interval of 84 days between posts. low frequency typically leads to better audience retention.
Best performing video generated 10.5x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a minimal approach with an average of 111 characters. This minimal style aligns well with audience expectations for this account type.
This analysis is generated from publicly available data and provides estimated insights. Actual performance metrics may vary.
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Important Notice
All insights shown here are estimated using publicly available data. This tool is not affiliated with Instagram or Meta and does not access private information. Analytics are provided for informational purposes only and may not reflect actual account performance.











