@pycode_bloom
CODE_BLOOM
π Step-by-step Python| made for self-learners π Python for curious minds β Daily quizzes βInterview Questions π
@pycode_bloom Profile Analysis Summary
Based on the last 12 posts
When we look at how pycode_bloom's audience interacts with their content, we see an engagement rate of 16.33% β that's about 542 likes and 45 comments per post on average. Compared to similar accounts in the 1K-10K follower range (where the average sits around 5%), this is 227% 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 15 days β a infrequent rhythm. Captions tend to be concise, averaging around 77 characters.
Key Metrics
3.6K
Followers
2.1K
Following
12
Total Posts
16.33%
Engagement Rate
542
Avg Likes
45
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
3,594 followers
16.33% engagement rate
12 posts, 45 avg comments
1.7:1 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
6.5K
Total Likes
545
Total Comments
Engagement Rate
Your engagement rate is 227% above the Nano (1K-10K) average. This indicates strong audience connection and content resonance.
Avg. Likes per Post
Your likes performance matches the Nano (1K-10K) average. Consistent performance across your content.
Avg. Comments per Post
Your comment rate exceeds the Nano (1K-10K) average by 82%. 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
These two Python codes look completely identicalβ¦ but they areΒ NOT the same. Thereβs a hidden detail...
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These two blocks look the same, but one has a hidden indentation issue. Python is very sensitive to ...
View on Instagram
Analyzed 12 posts. Top content receives 5.3K likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Videos outperform photos by 587 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">94.0</span>%
Likes Trend
-94.6%
Before: 1K avg
After: 55 avg
Comments Trend
-86.2%
Before: 80 avg
After: 11 avg
Total Engagement
-94.0%
Before: 1.1K avg
After: 66 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 70 characters. Medium captions (101-500 chars) perform best with 3K avg engagements.
Hashtag Performance
With Hashtags
0
posts
Without Hashtags
12
posts
Average 0.0 hashtags per post. Posts without hashtags perform 587 better on average.
Growth Indicators
Account Classification
Micro InfluencerWith 3.6K followers, this account falls in the Micro category (1K-10K). Typical engagement for this tier: 5-10%
Following/Followers
0.590
AverageEngagement Rate
16.33%
Above averageTotal Followers
3.6K
Following 2.1K- β’ Balanced - following close to follower count
- β’ Engagement rate is above the 5-10% benchmark for micro accounts
- β’ Average of 542 likes and 45 comments per post
Hashtags & Captions
Top Hashtags
No hashtags found in recent posts
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.
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 Γ 3
Audience Summary
This growing account shows very high engagement with primarily English content. Average post reaches an estimated 1.6K accounts.
Best Time to Post
Best performing time: Wednesday 8am
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 @pycode_bloom's recent content
@pycode_bloom's engagement rate of 16.33% 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 15 days between posts. low frequency typically leads to better audience retention.
Best performing video generated 9.6x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a minimal approach with an average of 77 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.