W3C Developers (@w3cdevs@w3c.social)

W3C Developers (@[email protected])

@w3cdevs

Get involved in @w3c and give input on all of our specs. See also https://www.youtube.com/@W3COfficial and @[email protected]. By @dontcallmeDOM and @marieforgue

https://w3c.social/@w3cdevs Joined 2014-10-13 Date of Analysis: Dec 16, 2025

11,340

Followers

608

Following

4,375

Tweets

295

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @w3cdevs'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: Mid-Tier (10K+)
  • Account Age:2014-10-13
  • Verification:No
  • Location:Not specified

Data Summary

  • Followers Analyzed:11,312

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Audience Demographics

Based on 11,312 followers

The primary audience includes web developers and technical professionals interested in web standards. The account aims to attract those looking to contribute to W3C specifications.

Average

Audience Quality

20.3%

Suspicion Index

20.4%

Low-Quality %

55

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

26.0%

Empty Bio

23.7%

<10 Tweets

14.2%

Mass Following (>2K)

0.0%

New (<90 days)

40.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

59.7%

No URL

14.7%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

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

9,381,876

Total Potential Reach

55

Median Follower Reach

247

75th Percentile Reach

7.4%

>1K followers

0.9%

>10K followers

0.2%

>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).

52.9%

Creators

5,984 accounts

23.4%

Consumers

2,646 accounts

23.7%

Dormant

2,682 accounts

123

Verified Followers

1.09% of total

28.1%

Professional Bios

founder, dev, analyst, etc.

0.13

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):

Dhaka, Bangladesh (159) India (114) Bangladesh (102) United States (68) London, England (55) Nigeria (52) France (52) New Delhi, India (49) Bengaluru, India (48) Lagos, Nigeria (45)

123

Verified Followers

1.09% of total

1,054

Protected Accounts

9.32% 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
@nonprofitorgs 767,710 Nonprofit Advocate Nonprofits, Digital Marketing, Fundraising
@EvanKirstel 352,996 Tech Influencer Tech, B2B, Social media
@timberners_lee 350,473 Computer Scientist technology, web standards, humanity
@openjsf 342,068 Foundation JavaScript, Open Source, Community
@zeldman 314,764 Author Web Standards, Design, Publishing
@loaideeb 295,472 President Human rights, development, global networking
@paul_irish 229,531 Web Developer performance, music, web development
@w3c 196,197 - -
@BankXRP 193,813 Blockchain Expert blockchain, fintechs, Ripple
@bact 147,103 Researcher Digital rights, AI ethics, Pedestrian safety

Top Keywords in Follower Bios

web (1,828) developer (1,566) software (758) engineer (578) designer (432) design (419) development (412) digital (349) frontend (347) tech (283)

Top Hashtags in Follower Bios

#javascript (71) #a11y (69) #wordpress (57) #seo (49) #web (46) #css (41) #webdesign (34) #php (33) #html (32) #developer (31)

8,369

Followers With Bio

2,943

Followers Without Bio

73.98%

% With Bio

26.02%

% 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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Key Insights & Takeaways

The account is managed by individuals with a strong background in web development. It emphasizes collaboration and input in W3C standards. Low engagement suggests potential for increased visibility or content variety.

Strengths

  • + Established follower base of 11,340
  • + 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 @w3cdevs reveals an growing Twitter presence with 11,340 followers. The account demonstrates a content-creator strategy, averaging 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