@startupcoded

Profile Analysis

The Startup Code • Audit Report

Performance Score80.6

Data FreshnessLive

+12% vs Market

0.18%

Engagement Rate

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

Performance

123

Average Interactions

3Avg Comments

123Avg 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 (Creator)

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

68,020

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: 655 PostsReport Generated • 6/4/2026

Engagement Velocity

Interaction Trend (Last 12 Posts)

114Avg Interactions

-17.5%

Peak: 333

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

1.5

Posts / Day

Weekly Average

Posts / Week

Medium Consistency

Wednesday

Peak Posting Day

Sun

1 Posts

Mon

1 Posts

Tue

3 Posts

Wed

4 Posts

Thu

1 Posts

Fri

1 Posts

Sat

1 Posts

Your posting consistency is calculated as medium. On average, you publish 1.5 posts per day. Historically, your posts published on Wednesday receive the highest engagement.

Caption & Length Analysis

Caption Length Distribution

NONE (0 CHARS)0 Posts

SHORT (1-100)0 Posts

MEDIUM (101-500)9 Posts

LONG (500+)3 Posts

MEDIUM

Likes99

Comments1

LONG

Likes194

Comments8

Peak Performance

The average caption length is 454 characters. Posts with LONG captions (500+) receive the most engagement, averaging about 202 likes/comments per post.

Media Effectiveness

Format Performance

Average engagement per post type.

Single Image

126

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(< 63)

3 Posts

Consistent(63 - 189)

6 Posts

High Performing(189 - 314)

2 Posts

Viral Outliers(> 314)

1 Posts

Viral Potential

25.0% Chance

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

Consistency Score

50.0% 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

Afternoon

Your audience is most active during the afternoon (12PM - 6PM). Posts published in this window receive 155 average interactions.

Morning

Evening

Night

In-Depth Profile Analysis: @startupcoded

Expert Review • June 4, 2026 • Based on 12 Recent Posts

Executive Overview

@startupcoded (The Startup Code) operates as a micro-influencer within the Content Creator category, commanding an audience of 68,020 followers while following 11 accounts — yielding a follower-to-following ratio of 6183.6:1. 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 655 published posts and a performance score of 80.6/100, this account ranks in the top 2% of all Instagram profiles analyzed on our platform.

Engagement Rate

0.18%

moderate

Avg. Likes / Post

123

1,477 total

Avg. Comments / Post

32 total

Posts / Week

10.6

12 analyzed

Engagement Breakdown

Across the 12 most recent posts, @startupcoded has accumulated a combined total of 1,477 likes and 32 comments, translating to an average of 123 likes and 3 comments per post. The resulting engagement rate of 0.18% is considered moderate for a profile of this size. The likes-to-comments ratio stands at 41:1, suggesting that while the audience is highly responsive with likes, there is room to increase conversation-driven engagement through more interactive captions, question stickers, and call-to-action prompts.

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 @startupcoded publishes at an average frequency of 10.6 posts per week. The most active publishing window falls around 7:00 AM UTC, with Wednesday being the preferred day for sharing new content. This high-frequency posting schedule indicates a dedicated content pipeline, likely supported by a professional management team or a well-organized editorial calendar. Consistency at this level is crucial for maintaining algorithmic momentum.

Peak Posting Time

7:00 AM UTC

Most Active Day

Wednesday

Weekly Output

10.6 posts/wk

Audience Quality & Growth Signals

Several indicators point to the overall health and authenticity of @startupcoded's audience. The follower-to-following ratio of 6183.6:1 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 0.18% across 68,020 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 3 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

@startupcoded demonstrates the hallmarks of a well-managed Instagram presence. With moderate engagement (0.18%), a visual-first content strategy, and a publishing cadence of 10.6 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 80.6/100 places this account in an elite tier among the millions of profiles tracked in our analytics index.

micro-influencer0.18% Engagement10.6 posts/wk17% Video Mix41:1 Like/CommentPeak: 7:00 AMCreator

PRIVACY STATUS: ANONYMOUS

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

SECURE CONNECTION

Professional Tools

Get historical data, competitor tracking, and unlimited profile analysis.

Analytics FAQ

Frequently Asked Questions

Common questions about our Instagram analytics methodology and profile reporting.

How accurate is the analysis for @startupcoded?

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 @startupcoded 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 80.6 Performance Score for @startupcoded is a metric that combines engagement rate (0.18%), 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.