@projectswithsourcecode
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@projectswithsourcecode Profile Analysis Summary
Based on the last 12 posts
When we look at how projectswithsourcecode's audience interacts with their content, we see an engagement rate of 0.49% β that's about 2 likes and 0 comments per post on average. For accounts in the 1K-10K follower range, the typical rate is around 5%, so there's some room to grow here β but every audience is different.
Looking at content mix, about 42% of recent posts are videos and 58% are photos. Interestingly, video content tends to spark 1.4x more interaction than photos β worth noting for anyone studying this account's strategy.
On the posting side, new content shows up about every 6 days β a infrequent rhythm. Captions tend to be detailed, averaging around 810 characters.
Key Metrics
475
Followers
350
Following
264
Total Posts
0.42%
Engagement Rate
2
Avg Likes
0
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
475 followers
0.49% engagement rate
264 posts, 0 avg comments
1.4:1 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
27
Total Likes
1
Total Comments
Engagement Rate
Your engagement rate is 90% below the Nano (1K-10K) average. Consider experimenting with content formats, posting times, or engagement strategies.
Avg. Likes per Post
Your average likes are 100% below typical Nano (1K-10K) accounts. Focus on visual quality and trending topics.
Avg. Comments per Post
Your comments are 100% below the Nano (1K-10K) 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
0.2
Posts per day
1
Posts per week
Thursday
Most active day
Posts by Weekday
Top Performing Content
π New Project Live β PrediQ AI-Powered Exam Preparation Web App built with Flask + Python + NLP T...
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π New Project Live β PrediQ AI-Powered Exam Preparation Web App built with Flask + Python + NLP Th...
View on Instagram
π Python Chatbot Project (Intents + NLP Similarity) β Complete Source Code + System Design Are you ...
View on InstagramAnalyzed 12 posts. Top content receives 4 likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Videos outperform photos by 1 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">33.3</span>%
Likes Trend
+25.0%
Before: 2 avg
After: 3 avg
Comments Trend
+0.0%
Before: 0 avg
After: 0 avg
Total Engagement
+33.3%
Before: 2 avg
After: 3 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 810 characters. Short captions (1-100 chars) perform best with 3 avg engagements.
Hashtag Performance
With Hashtags
5
posts
Without Hashtags
7
posts
Most Used Hashtags
Average 3.8 hashtags per post. Posts without hashtags perform 1 better on average.
Growth Indicators
Account Classification
Micro InfluencerWith 475 followers, this account falls in the Micro category (1K-10K). Typical engagement for this tier: 5-10%
Following/Followers
0.737
AverageEngagement Rate
0.49%
Below averageTotal Followers
475
Following 350- β’ Balanced - following close to follower count
- β’ Engagement rate is below the 5-10% benchmark for micro accounts
- β’ Average of 2 likes and 0 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.
Beauty & Skincare
Beauty tips and skincare routines
Lifestyle & Fashion
Content about lifestyle, fashion, and personal style
Entertainment & Music
Entertainment, music, and nightlife content
Travel & Adventure
Content related to travel destinations and adventures
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
Under 1K followers
Estimated based on average engagement Γ 3
Audience Summary
This growing account shows low engagement with primarily English content. Average post reaches an estimated 7 accounts.
Best Time to Post
Best performing time: Sunday 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 @projectswithsourcecode's recent content
@projectswithsourcecode's engagement rate of 0.49% is low compared to similar accounts. This indicates a low 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 medium with an average interval of 6 days between posts. medium frequency typically leads to better audience retention.
Best performing photo generated 2.1x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a detailed approach with an average of 810 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.