@_programmingfever_
ProgrammingFever
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@_programmingfever_ Profile Analysis Summary
Based on the last 12 posts
When we look at how _programmingfever_'s audience interacts with their content, we see an engagement rate of 4.97% — that's about 600 likes and 3 comments per post on average. Compared to similar accounts in the 10K-100K follower range (where the average sits around 2.5%), this is 99% higher, which suggests a genuinely engaged community.
Looking at content mix, about 8% of recent posts are videos and 92% are photos. Interestingly, photo content tends to spark 72.9x more interaction than videos — worth noting for anyone studying this account's strategy.
On the posting side, new content shows up about every 116 days — a infrequent rhythm. Captions tend to be moderate-length, averaging around 330 characters.
Key Metrics
12.1K
Followers
518
Following
26
Total Posts
4.97%
Engagement Rate
600
Avg Likes
3
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
12,127 followers
4.97% engagement rate
26 posts, 3 avg comments
23.4:1 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
7.2K
Total Likes
35
Total Comments
Engagement Rate
Your engagement rate is 99% above the Micro (10K-100K) average. This indicates strong audience connection and content resonance.
Avg. Likes per Post
Your average likes are 70% below typical Micro (10K-100K) accounts. Focus on visual quality and trending topics.
Avg. Comments per Post
Your comments are 96% below the Micro (10K-100K) 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
Friday
Most active day
Posts by Weekday
Top Performing Content
Data types in Python Follow us @_programmingfever_ for Programming, Computer, College projects and M...
View on Instagram
Types of Functions in Python Follow us @_programmingfever_ for Programming, Computer, College projec...
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Types of Loops in Python Follow us @_programmingfever_ for Programming, Computer, College projects a...
View on InstagramAnalyzed 12 posts. Top content receives 2.5K likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Photos outperform videos 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">91.8</span>%
Likes Trend
-92.0%
Before: 1.1K avg
After: 89 avg
Comments Trend
-60.0%
Before: 4 avg
After: 2 avg
Total Engagement
-91.8%
Before: 1.1K avg
After: 91 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 330 characters. Medium captions (101-500 chars) perform best with 720 avg engagements.
Hashtag Performance
With Hashtags
10
posts
Without Hashtags
2
posts
Most Used Hashtags
Average 8.3 hashtags per post. Posts with hashtags get 703 more avg engagements.
Growth Indicators
Account Classification
Small InfluencerWith 12.1K followers, this account falls in the Small category (10K-50K). Typical engagement for this tier: 3-5%
Following/Followers
0.043
ExcellentEngagement Rate
4.97%
Above averageTotal Followers
12.1K
Following 518- • Very influential - follows far fewer than followers
- • Engagement rate is above the 3-5% benchmark for small accounts
- • Average of 600 likes and 3 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 romantic & emotional with elements of positive & uplifting.
Family & Relationships
Content about family and relationships
Entertainment & Music
Entertainment, music, and nightlife content
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
10K-100K followers
Estimated based on average engagement × 3
Audience Summary
This established account shows high engagement with primarily English content. Average post reaches an estimated 1.8K 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 @_programmingfever_'s recent content
@_programmingfever_'s engagement rate of 4.97% is good compared to similar accounts. This indicates a good level of audience interaction and content effectiveness.
Content strategy is 92% focused on photos, which appears to be the strongest performing format for this profile.
Posting consistency is low with an average interval of 116 days between posts. low frequency typically leads to better audience retention.
Best performing photo generated 4.1x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a moderate approach with an average of 330 characters. This moderate 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.