@pythonupdates

Profile Analysis

Coder • Audit Report

Performance Score81.7

Data FreshnessLive

+12% vs Market

0.59%

Engagement Rate

Calculated from 12 recent posts. This score indicates high audience interaction and content quality.

Performance

139

Average Interactions

1Avg Comments

139Avg Likes

Content Format Analysis

Image Posts

92%

Video Posts (Reels)

"The profile demonstrates a balanced content strategy, optimize for brand consistency."

GROWTH PREDICTION

Projected Growth

8.4k/mo

Positive Trend

Based on current performance metrics, this profile is expected to grow by 2.1% in the next 30 days.

Category Benchmarks

Global Comparison

VS. Industry Average (Education)

Top 5% Performance

Follower HealthElite

94/ 100

Content QualityVery High

88/ 100

Growth VelocityElite

91/ 100

PROFILE REPORT

Account Verified

Analytics report generated for this Instagram profile. Data fetched from public sources.

Followers

23,524

Posts Analyzed

Efficiency

High

High Engagement Posts

Why it worked

"High engagement rate detected in early hours."

Why it worked

"Strong audience resonance with visual style."

Why it worked

"Effective use of trending keywords and hashtags."

Analyzed: 352 PostsReport Generated • 6/5/2026

Engagement Velocity

Interaction Trend (Last 12 Posts)

51Avg Interactions

-77.9%

Peak: 438

Older ContentMost Recent

Audience Pulse

Stable Base

Content performance shows stable momentum. Engagement is consistent across recent uploads.

Interaction Gap

Low Delta

The spread between likes and comments is within healthy platform benchmarks (1:40 ratio).

Posting Frequency & Timing

Daily Average

0.0

Posts / Day

Weekly Average

Posts / Week

High Consistency

Monday

Peak Posting Day

Sun

1 Posts

Mon

3 Posts

Tue

1 Posts

Wed

2 Posts

Thu

2 Posts

Fri

2 Posts

Sat

1 Posts

Your posting consistency is calculated as high. On average, you publish 0.0 posts per day. Historically, your posts published on Monday receive the highest engagement.

Hashtag Performance

MOST USED TAGS

The hashtags most frequently associated with this profile's content strategy.

#coding11 Posts

#programming10 Posts

#python10 Posts

#programmers9 Posts

#java7 Posts

ENGAGEMENT LEADERS

Tags that drive the highest average likes and comments per post.

#code

Impact Factor

0.2k

Avg Eng.

#coding

Impact Factor

0.2k

Avg Eng.

#python

Impact Factor

0.2k

Avg Eng.

#programmers

Impact Factor

0.2k

Avg Eng.

Caption & Length Analysis

Caption Length Distribution

NONE (0 CHARS)0 Posts

SHORT (1-100)1 Posts

MEDIUM (101-500)10 Posts

LONG (500+)1 Posts

SHORT

Likes1

Comments0

MEDIUM

Likes155

Comments1

Peak Performance

LONG

Likes119

Comments0

The average caption length is 391 characters. Posts with MEDIUM captions (101-500) receive the most engagement, averaging about 156 likes/comments per post.

Media Effectiveness

Format Performance

Average engagement per post type.

Single Image

139

Strategy Insight

Automated Analysis

Single images remain your most effective format. High-quality static visuals resonate best with your followers.

Performance Distribution

Post Performance Zones

Based on 12 Analyzed Posts

Underperforming(< 70)

5 Posts

Consistent(70 - 209)

4 Posts

High Performing(209 - 348)

1 Posts

Viral Outliers(> 348)

2 Posts

Viral Potential

25.0% Chance

Approximately 3 out of every 10 posts significantly outperform the average engagement baseline.

Consistency Score

33.3% Stable

Most content falls within the expected engagement range, indicating a reliable audience response.

Activity Heatmap

24-Hour Engagement Cycle

High Impact

Low Activity

12h

16h

20h

Best Time to Post

Afternoon

Your audience is most active during the afternoon (12PM - 6PM). Posts published in this window receive 176 average interactions.

Morning

Evening

Night

-1

In-Depth Profile Analysis: @pythonupdates

Expert Review • June 5, 2026 • Based on 12 Recent Posts

Executive Overview

@pythonupdates (Coder) operates as a micro-influencer within the Education category, commanding an audience of 23,524 followers while following 45 accounts — yielding a follower-to-following ratio of 522.8:1. This exceptionally high ratio signals strong organic authority, indicating that followers are drawn to this profile through genuine content merit rather than reciprocal following strategies. With a total of 352 published posts and a performance score of 81.7/100, this account ranks in the top 2% of all Instagram profiles analyzed on our platform.

Engagement Rate

0.59%

moderate

Avg. Likes / Post

139

1,665 total

Avg. Comments / Post

7 total

Posts / Week

0.1

12 analyzed

Engagement Breakdown

Across the 12 most recent posts, @pythonupdates has accumulated a combined total of 1,665 likes and 7 comments, translating to an average of 139 likes and 1 comments per post. The resulting engagement rate of 0.59% is considered moderate for a profile of this size. The likes-to-comments ratio stands at 139:1, which is typical for very large accounts where the sheer volume of likes far outpaces comments. This is standard behavior for celebrity-level profiles where passive engagement (likes) dominates.

Content Strategy & Format Mix

The content portfolio shows a deliberate distribution: 11 image posts (92%) and 1 video/Reels posts (8%). This image-heavy approach emphasizes visual aesthetics and brand consistency — a strategy that typically builds strong feed cohesion and encourages profile-level browsing. While Reels currently dominate algorithmic distribution, the image-first approach suggests a focus on cultivating a dedicated, visually-engaged core audience.

Publishing Schedule & Timing Patterns

Analysis of post timestamps reveals that @pythonupdates publishes at an average frequency of 0.1 posts per week. The most active publishing window falls around 1:00 PM UTC, with Monday being the preferred day for sharing new content. This selective posting frequency suggests a quality-over-quantity approach, where each post is carefully curated before publication. While less frequent posting can reduce algorithmic exposure, it often results in higher per-post engagement when the content resonates strongly.

Peak Posting Time

1:00 PM UTC

Most Active Day

Monday

Weekly Output

0.1 posts/wk

Audience Quality & Growth Signals

Several indicators point to the overall health and authenticity of @pythonupdates's audience. The follower-to-following ratio of 522.8:1 is a hallmark of organic authority, demonstrating that the profile attracts followers through content quality rather than follow-for-follow tactics. The engagement rate of 0.59% across 23,524 followers reflects the natural engagement dynamics of large-audience profiles. As follower counts grow, engagement rates typically compress due to passive followers and algorithmic distribution patterns. The average comment volume of 1 per post further validates that the audience is not merely passive — they are actively contributing to discussions, which Instagram's algorithm weights heavily as a quality signal.

Analyst Verdict

@pythonupdates demonstrates the hallmarks of a well-managed Instagram presence. With moderate engagement (0.59%), a visual-first content strategy, and a publishing cadence of 0.1 posts per week, the profile is on a solid trajectory with clear potential for optimization in posting frequency and content diversification. The performance score of 81.7/100 places this account in an elite tier among the millions of profiles tracked in our analytics index.

micro-influencer0.59% Engagement0.1 posts/wk8% Video Mix139:1 Like/CommentPeak: 1:00 PMEducation

PRIVACY STATUS: ANONYMOUS

Your view of @pythonupdates is completely private. No interaction traces are left on the Instagram servers.

SECURE CONNECTION

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Analytics FAQ

Frequently Asked Questions

Common questions about our Instagram analytics methodology and profile reporting.

How accurate is the analysis for @pythonupdates?

Our analytics engine processes public Instagram data with high precision. Engagement metrics are calculated based on the 12 most recent posts to ensure relevance.

Is @pythonupdates notified of this view?

No. Pikory allows you to view profiles anonymously. Your identity is never revealed to the account owner.

What is the Performance Score?

The 81.7 Performance Score for @pythonupdates is a metric that combines engagement rate (0.59%), posting frequency, and audience growth trends.

Follower Quality Analysis?

We analyze growth trends and engagement patterns to determine if a profile's growth is organic. This profile shows indications of high-quality organic growth.