@python_.programmer

Profile Analysis

I am Python Programmer 🌚 • Audit Report

Performance Score99.8

Data FreshnessLive

+12% vs Market

411.97%

Engagement Rate

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

Performance

88,330

Average Interactions

400Avg Comments

88,330Avg Likes

Content Format Analysis

Image Posts

83%

Video Posts (Reels)

17%

"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 (Science, Technology & Engineering)

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

21,538

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: 260 PostsReport Generated • 6/5/2026

Engagement Velocity

Interaction Trend (Last 12 Posts)

176,916Avg Interactions

+32351.7%

Peak: 1,060,056

Older ContentMost Recent

Audience Pulse

Rising Interest

Content performance shows strong upward momentum. Recent posts are outperforming historical averages.

Interaction Gap

Low Delta

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

Posting Frequency & Timing

Daily Average

0.1

Posts / Day

Weekly Average

Posts / Week

Low Consistency

Wednesday

Peak Posting Day

Sun

1 Posts

Mon

0 Posts

Tue

3 Posts

Wed

4 Posts

Thu

4 Posts

Fri

0 Posts

Sat

0 Posts

Your posting consistency is calculated as low. On average, you publish 0.1 posts per day. Historically, your posts published on Wednesday receive the highest engagement.

Hashtag Performance

MOST USED TAGS

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

#artificialintelligence10 Posts

#learntocode10 Posts

#programmer7 Posts

#programming7 Posts

#codinggirl7 Posts

ENGAGEMENT LEADERS

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

#artificialintelligence

Impact Factor

0.4k

Avg Eng.

#learntocode

Impact Factor

0.4k

Avg Eng.

#programmer

Impact Factor

0.4k

Avg Eng.

#programming

Impact Factor

0.4k

Avg Eng.

Caption & Length Analysis

Caption Length Distribution

NONE (0 CHARS)0 Posts

SHORT (1-100)2 Posts

MEDIUM (101-500)0 Posts

LONG (500+)10 Posts

SHORT

Likes528,080

Comments2,389

Peak Performance

LONG

Likes380

Comments3

The average caption length is 850 characters. Posts with SHORT captions (1-100) receive the most engagement, averaging about 530469 likes/comments per post.

Media Effectiveness

Format Performance

Average engagement per post type.

Single Image

88,731

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(< 44,365)

11 Posts

Consistent(44,365 - 133,096)

0 Posts

High Performing(133,096 - 221,826)

0 Posts

Viral Outliers(> 221,826)

1 Posts

Viral Potential

8.3% Chance

Approximately 1 out of every 10 posts significantly outperform the average engagement baseline.

Consistency Score

0.0% 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

Morning

Your audience is most active during the morning (6AM - 12PM). Posts published in this window receive 353,633 average interactions.

Afternoon

496

Evening

373

Night

382

In-Depth Profile Analysis: @python_.programmer

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

Executive Overview

@python_.programmer (I am Python Programmer 🌚) operates as a micro-influencer within the Science, Technology & Engineering category, commanding an audience of 21,538 followers while following 295 accounts — yielding a follower-to-following ratio of 73.0:1. 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 260 published posts and a performance score of 99.8/100, this account ranks in the top 0.1% of all Instagram profiles analyzed on our platform.

Engagement Rate

411.97%

exceptional

Avg. Likes / Post

88,330

1,059,963 total

Avg. Comments / Post

400

4,804 total

Posts / Week

0.6

12 analyzed

Engagement Breakdown

Across the 12 most recent posts, @python_.programmer has accumulated a combined total of 1,059,963 likes and 4,804 comments, translating to an average of 88,330 likes and 400 comments per post. The resulting engagement rate of 411.97% is considered exceptional for a profile of this size. The likes-to-comments ratio stands at 221:1, 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: 10 image posts (83%) and 2 video/Reels posts (17%). 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 @python_.programmer publishes at an average frequency of 0.6 posts per week. The most active publishing window falls around 12:00 PM UTC, with Wednesday 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

12:00 PM UTC

Most Active Day

Wednesday

Weekly Output

0.6 posts/wk

Audience Quality & Growth Signals

Several indicators point to the overall health and authenticity of @python_.programmer's audience. The follower-to-following ratio of 73.0:1 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 411.97% across 21,538 followers is remarkably strong for this audience size. Industry benchmarks typically place profiles with over 100K followers at 1-3% engagement, making this performance noteworthy and suggestive of a deeply loyal audience base. The average comment volume of 400 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

@python_.programmer demonstrates the hallmarks of a highly optimized Instagram presence. With exceptional engagement (411.97%), a visual-first content strategy, and a publishing cadence of 0.6 posts per week, the profile is exceptionally well-positioned for continued growth and brand partnership opportunities. The performance score of 99.8/100 places this account in an elite tier among the millions of profiles tracked in our analytics index.

micro-influencer411.97% Engagement0.6 posts/wk17% Video Mix221:1 Like/CommentPeak: 12:00 PMScience, Technology & Engineering

PRIVACY STATUS: ANONYMOUS

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

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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 @python_.programmer?

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 @python_.programmer 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 99.8 Performance Score for @python_.programmer is a metric that combines engagement rate (411.97%), 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.