@python.joy
Python Enthusiast | Data & AI Engineer π¨βπ»π
π Python β’ Data Engineering β’ AI/ML π Software Engineer @jpmorgan (Ex-Deloitte) π Tips, guides, and career insights π Community + resources:
@python.joy Profile Analysis Summary
Based on the last 12 posts
When we look at how python.joy's audience interacts with their content, we see an engagement rate of 0.11% β that's about 81 likes and 1 comments per post on average. For accounts in the 10K-100K follower range, the typical rate is around 2.5%, so there's some room to grow here β but every audience is different.
Looking at content mix, about 0% of recent posts are videos and 100% are photos.
On the posting side, new content shows up about every 5 days β a moderately consistent rhythm. Captions tend to be detailed, averaging around 1475 characters.
Key Metrics
74.2K
Followers
56
Following
128
Total Posts
0.11%
Engagement Rate
81
Avg Likes
1
Avg Comments
Authority Score
Calculated from reach, engagement, content quality, and trust signals
Score Breakdown
74,205 followers
0.11% engagement rate
128 posts, 1 avg comments
1325.1:1 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
968
Total Likes
10
Total Comments
Engagement Rate
Your engagement rate is 96% below the Micro (10K-100K) average. Consider experimenting with content formats, posting times, or engagement strategies.
Avg. Likes per Post
Your average likes are 96% below typical Micro (10K-100K) accounts. Focus on visual quality and trending topics.
Avg. Comments per Post
Your comments are 99% 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
0.2
Posts per day
2
Posts per week
Sunday
Most active day
Posts by Weekday
Top Performing Content
π Python Tuples. Part-1 Tuples are a core Python data structure used to store collections of value...
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Comment answer & Share it β π . Follow π @python.joy . . For Free Python Course, Join Telegram Cha...
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π Python Tuples. Part-2 Tuples are a core Python data structure used to store collections of value...
View on InstagramAnalyzed 12 posts. Top content receives 133 likes on average.
Content Type Analysis
Content Distribution
Videos
Photos
Photos outperform videos by 82 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">43.3</span>%
Likes Trend
-44.9%
Before: 104 avg
After: 57 avg
Comments Trend
+0.0%
Before: 0 avg
After: 2 avg
Total Engagement
-43.3%
Before: 104 avg
After: 59 avg
Caption Length Analysis
Caption Length Distribution
Average caption length: 1475 characters. Long captions (500+ chars) perform best with 84 avg engagements.
Hashtag Performance
With Hashtags
6
posts
Without Hashtags
6
posts
Most Used Hashtags
Average 2.5 hashtags per post. Posts without hashtags perform 13 better on average.
Growth Indicators
Account Classification
Medium InfluencerWith 74.2K followers, this account falls in the Medium category (50K-500K). Typical engagement for this tier: 1-3%
Following/Followers
0.001
ExcellentEngagement Rate
0.11%
Below averageTotal Followers
74.2K
Following 56- β’ Very influential - follows far fewer than followers
- β’ Engagement rate is below the 1-3% benchmark for medium accounts
- β’ Average of 81 likes and 1 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 energetic & driven with elements of romantic & emotional.
Travel & Adventure
Content related to travel destinations and adventures
Family & Relationships
Content about family and relationships
Lifestyle & Fashion
Content about lifestyle, fashion, and personal style
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 Γ 3
Audience Summary
This established account shows low engagement with primarily English content. Average post reaches an estimated 242 accounts.
Best Time to Post
Best performing time: Saturday 4am
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 @python.joy's recent content
@python.joy's engagement rate of 0.11% is low compared to similar accounts. This indicates a low level of audience interaction and content effectiveness.
Content strategy is 100% focused on photos, which appears to be the strongest performing format for this profile.
Posting consistency is medium with an average interval of 5 days between posts. medium frequency typically leads to better audience retention.
Best performing photo generated 1.6x more engagement than average posts, suggesting strong resonance with specific content themes.
Caption strategy follows a detailed approach with an average of 1475 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.