@thinkcodecrack
Think Code Crack
Senior Software Engineer(8+ yrs)@Walmart Ex-VMware | Groww | CommScope DSA • Backend • Interviews•AI for Devs Helping devs think better & code smarter
@thinkcodecrack Profile Analysis Summary
Based on the last 12 posts
When we look at how thinkcodecrack's audience interacts with their content, we see an engagement rate of 7.15% — that's about 610 likes and 37 comments per post on average. Compared to similar accounts in the 1K-10K follower range (where the average sits around 5%), this is 43% higher, which suggests a genuinely engaged community.
Looking at content mix, about 100% of recent posts are videos and 0% are photos.
On the posting side, new content shows up about every 9 days — a infrequent rhythm. Captions tend to be detailed, averaging around 875 characters.
Key Metrics
9K
Followers
0
Following
12
Total Posts
7.16%
Engagement Rate
610
Avg Likes
37
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
9,036 followers
7.15% engagement rate
12 posts, 37 avg comments
9036.0:1 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
7.3K
Total Likes
442
Total Comments
Engagement Rate
Your engagement rate is 43% above the Nano (1K-10K) average. This indicates strong audience connection and content resonance.
Avg. Likes per Post
Your average likes are 22% above the Nano (1K-10K) benchmark. Your content resonates well with your audience.
Avg. Comments per Post
Your comment rate exceeds the Nano (1K-10K) average by 47%. You're building meaningful conversations with your audience.
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
0.1
Posts per day
1
Posts per week
Wednesday
Most active day
Posts by Weekday
Top Performing Content
Comment Code to get optimised solution in your DM. Save for future interview 🙌 Problem: Find the E...
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Save for future interview 🙌 Comment “503” and I will share the file with detailed description of ...
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IPL already shows UltraEdge so fast… but it’s not “magic” — it’s real-time system design done right�...
View on InstagramAnalyzed 12 posts. Top content receives 4.8K likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Videos outperform photos by 647 avg engagements per post.
Engagement Trend
Overall Trend
DecreasingComparing 6 older posts to 6 recent posts. Overall engagement has decreased by <span class="font-medium text-red-400">90.3</span>%
Likes Trend
-90.5%
Before: 1.1K avg
After: 106 avg
Comments Trend
-87.8%
Before: 66 avg
After: 8 avg
Total Engagement
-90.3%
Before: 1.2K avg
After: 114 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 875 characters. Long captions (500+ chars) perform best with 772 avg engagements.
Hashtag Performance
With Hashtags
12
posts
Without Hashtags
0
posts
Most Used Hashtags
Average 4.9 hashtags per post. Posts with hashtags get 647 more avg engagements.
Growth Indicators
Account Classification
Micro InfluencerWith 9K followers, this account falls in the Micro category (1K-10K). Typical engagement for this tier: 5-10%
Following/Followers
0.000
ExcellentEngagement Rate
7.15%
Above averageTotal Followers
9K
Following 0- • Very influential - follows far fewer than followers
- • Engagement rate is above the 5-10% benchmark for micro accounts
- • Average of 610 likes and 37 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.
Fitness & Health
Posts about fitness, workouts, and healthy living
Business & Motivation
Entrepreneurship and motivational content
Photography & Art
Focus on visual storytelling and artistic content
Lifestyle & Fashion
Content about lifestyle, fashion, and personal style
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
1K-10K followers
Estimated based on average engagement × 3
Audience Summary
This growing account shows very high engagement with primarily English content. Average post reaches an estimated 1.8K accounts.
Best Time to Post
Best performing time: Friday 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 @thinkcodecrack's recent content
@thinkcodecrack's engagement rate of 7.15% is excellent compared to similar accounts. This indicates a excellent level of audience interaction and content effectiveness.
Content strategy is 100% focused on videos, which appears to be the strongest performing format for this profile.
Posting consistency is low with an average interval of 9 days between posts. low frequency typically leads to better audience retention.
Best performing video generated 7.5x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a detailed approach with an average of 875 characters. This detailed 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.