Smashing Magazine 🇺🇦 🏳️‍🌈

Smashing Magazine 🇺🇦 🏳️‍🌈

@smashingmag

An online magazine for designers and web developers. Questions? We've got your back: @SmashingSupport, @SmashingConf. Curated by Iris, Vitaly and the team.

Freiburg, Germany https://www.smashingmagazine.com/ Joined 2008-08-05 Date of Analysis: Dec 16, 2025

906,474

Followers

2,646

Following

81,208

Tweets

334.2

Avg Engagement

33,761

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @smashingmag's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2008-08-05
  • Verification:No
  • Location:Freiburg, Germany

Data Summary

  • Tweets Analyzed:3,214
  • Avg Likes per Tweet:20.3
  • Avg Retweets per Tweet:313.9
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,214 tweets

The account maintains a steady level of engagement with an average of 698 likes and 178 retweets per tweet. Its verified status and consistent posting contribute to its overall reach and interaction.

20.3

Avg Likes/Tweet

313.9

Avg Retweets/Tweet

65,275

Total Likes

1,008,918

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

7

Median Retweets

59

75th Percentile

407,838

Top Tweet

0.37

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

33.5%

Original

20.9%

Replies

42.7%

Retweets

2.9%

Quotes

0.0%

Threads

0.6%

With Media

46.5%

With Links

9.2%

With #Tags

79.3%

With @Mentions

32.1%

With Emojis

157

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.62

Reply/Original Ratio

0.07

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

91.1%

Weekday Posts

8.9%

Weekend Posts

Top Hashtags

#smashingcommunity (107) #css (39) #ux (21) #webperf (21) #a11y (14) #accessibility (14) #design (9) #designsystems (5) #btconf (4) #http3 (4)

Most Mentioned

@smashingmag (279) @vitalyf (128) @sarasoueidan (83) @smashingconf (77) @addyosmani (66) @shadeed9 (61) @5t3ph (60) @stefanjudis (46) @jh3yy (44) @tunetheweb (43)

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Content Strategy Analysis

Based on 3,214 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,076 (33%)
Replies 672 (21%)
Retweets 1,373 (43%)
Quote Tweets 93 (3%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 1,373 retweets (43% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,214 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

The primary audience includes designers and web developers seeking educational content and industry updates. The content is tailored to meet the needs of professionals looking to enhance their skills and stay informed.

Average

Audience Quality

21.4%

Suspicion Index

22.1%

Low-Quality %

40

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.7%

Empty Bio

25.3%

<10 Tweets

11.7%

Mass Following (>2K)

0.0%

New (<90 days)

46.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

64.2%

No URL

16.6%

<3 Tweets

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

26,488,588

Total Potential Reach

40

Median Follower Reach

175

75th Percentile Reach

5.9%

>1K followers

0.7%

>10K followers

0.1%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

50.2%

Creators

25,092 accounts

24.5%

Consumers

12,259 accounts

25.3%

Dormant

12,649 accounts

465

Verified Followers

0.93% of total

29.1%

Professional Bios

founder, dev, analyst, etc.

0.11

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

India (465) Dhaka, Bangladesh (380) London, England (319) Bangladesh (273) Bengaluru, India (272) Lagos, Nigeria (255) United States (253) London (219) Nigeria (202) San Francisco, CA (176)

805

Verified Followers

0.8% of total

8,334

Protected Accounts

8.25% of total

8 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@SinghLions 1,335,124 Restaurateur Food, Travel, Influencer
@rogerhamilton 929,094 Entrepreneur education, entrepreneurship, futurism
@EdKrassen 884,817 Journalist Politics, Journalism, Author
@larrykim 729,355 Entrepreneur Startups, AdWords, Chatbots
@DeborahMeaden 690,833 Entrepreneur Business, Dragons Den, Strictly Come Dancing
@CoachSchuman 588,887 Football Coach Football, Recruiting, Motivation
@SlackHQ 462,171 Communication technology, productivity, communication
@pcsreeram 457,809 Photographer Photography, Director, ISC
@Moreno 430,227 Influencer Business, Manager, Serious
@SmashDawg 424,928 Content Director Tech, Media, Content

Top Keywords in Follower Bios

designer (9,776) web (9,220) design (9,057) developer (8,600) software (4,348) digital (3,841) engineer (3,653) graphic (3,417) ux (2,891) frontend (2,836)

Top Hashtags in Follower Bios

#wordpress (450) #ux (423) #design (373) #seo (365) #javascript (347) #webdesign (302) #marketing (225) #web (224) #digital (188) #ui (186)

71,316

Followers With Bio

29,683

Followers Without Bio

70.61%

% With Bio

29.39%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,214 analyzed

646,561

Combined Engagement

0

Total Likes

646,561

Total Retweets

129,312

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Accessibility User Experience Performance Optimization Web Development Design Technical Guides

Key Insights & Takeaways

The content often focuses on accessibility and user experience, addressing common frustrations and solutions. The account emphasizes performance optimization through technical guides and best practices. It regularly updates its content to reflect current trends and issues in the design and development fields.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 906,474
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @smashingmag reveals an well-established Twitter presence with 906,474 followers. The account demonstrates a content-creator strategy, averaging 334.2 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025