Scott Hanselman 🌮

Scott Hanselman 🌮

@shanselman

VP of Developer Community @ MSFT - Code, OSS, STEM, Beyoncé, 🏴󠁧󠁢󠁳󠁣󠁴󠁿🇿🇼#T1D, #DevRel YouTube+TikTok listen to the @Hanselminutes inclusive tech podcast!

Portland, Oregon https://t.co/zHwDmgWXzy Joined 2007-05-01 Date of Analysis: Dec 16, 2025

325,061

Followers

10,455

Following

84,630

Tweets

1,092.3

Avg Engagement

8,392

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @shanselman'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:2007-05-01
  • Verification:No
  • Location:Portland, Oregon

Data Summary

  • Tweets Analyzed:3,235
  • Avg Likes per Tweet:57.4
  • Avg Retweets per Tweet:1,034.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,235 tweets

His tweets consistently receive high engagement, indicating a strong and active audience. The use of multimedia and links to resources enhances interaction and visibility.

57.4

Avg Likes/Tweet

1,034.8

Avg Retweets/Tweet

185,706

Total Likes

3,347,737

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

50

75th Percentile

561,935

Top Tweet

3.36

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

10.4%

Original

60.8%

Replies

25.2%

Retweets

3.6%

Quotes

0.0%

Threads

0.3%

With Media

30.0%

With Links

8.5%

With #Tags

86.1%

With @Mentions

4.5%

With Emojis

93

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

5.82

Reply/Original Ratio

0.14

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

75.5%

Weekday Posts

24.5%

Weekend Posts

Top Hashtags

#chatgpt (16) #diabetes (16) #t1d (13) #ref (11) #3dprinting (10) #dotnet (8) #wearenotwaiting (8) #espc22 (8) #azurefriday (6) #sugcon (6)

Most Mentioned

@shanselman (269) @damianedwards (40) @davidfowl (37) @thepine64 (37) @visualstudio (20) @bing (19) @jenmsft (18) @azurefriday (17) @imcconner (15) @ankerofficial (15)

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Content Strategy Analysis

Based on 3,235 tweets

Content Type Distribution

Content Breakdown

Original Tweets 338 (10%)
Replies 1,966 (61%)
Retweets 814 (25%)
Quote Tweets 117 (4%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 814 retweets (25% 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 3,235 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

His audience includes developers, tech enthusiasts, and community leaders interested in open source and Microsoft technologies. The content appeals to those looking for insights into developer tools and community building.

Average

Audience Quality

24.8%

Suspicion Index

27.5%

Low-Quality %

39

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.9%

Empty Bio

27.9%

<10 Tweets

14.1%

Mass Following (>2K)

0.0%

New (<90 days)

52.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

76.9%

No URL

19.1%

<3 Tweets

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Follower Reach & Influence

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

32,880,545

Total Potential Reach

39

Median Follower Reach

181

75th Percentile Reach

6.2%

>1K followers

0.8%

>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).

49.7%

Creators

24,859 accounts

22.3%

Consumers

11,171 accounts

27.9%

Dormant

13,970 accounts

863

Verified Followers

1.73% of total

21.0%

Professional Bios

founder, dev, analyst, etc.

0.09

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):

Lagos, Nigeria (370) India (370) United States (321) Nigeria (277) London, England (235) Seattle, WA (233) Bengaluru, India (210) Nairobi, Kenya (172) United Kingdom (168) London (138)

1,612

Verified Followers

1.61% of total

9,457

Protected Accounts

9.46% of total

7 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
@JohnCena 14,103,228 Wrestler Wrestling, Motivation, Self-promotion
@SinghLions 1,334,654 Restaurateur Food, Travel, Influencer
@joncoopertweets 1,255,821 Political Strategist Politics, Fundraising, Campaigns
@elgato 1,233,821 Streaming Stream, Record, Create
@chris 1,103,786 - -
@RMcElhenney 1,047,572 Actor Football, Co-Chairman, Oldest
@BaronDavis 1,030,481 Entrepreneur Investor, Finesser, Creator
@Azure 994,117 Cloud Computing technology, innovation, community
@DanielNewman 812,694 Actor WALKINGDEAD, MARVEL, LGBTQ*
@NOH8Campaign 801,560 Activism equality, bullying, discrimination

Top Keywords in Follower Bios

software (9,365) developer (7,672) engineer (7,652) tech (3,263) web (2,894) enthusiast (2,410) data (2,164) love (2,021) cloud (1,694) dev (1,685)

Top Hashtags in Follower Bios

#ai (217) #azure (209) #javascript (194) #100devs (177) #python (177) #devops (152) #cloud (141) #dotnet (139) #tech (138) #bitcoin (136)

66,436

Followers With Bio

33,564

Followers Without Bio

66.44%

% With Bio

33.56%

% 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 3,235 analyzed

1,443,517

Combined Engagement

0

Total Likes

1,443,517

Total Retweets

288,703

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Developer Relations Open Source Technology Community Engagement Podcasting Health Advocacy

Key Insights & Takeaways

He frequently highlights major Microsoft announcements and innovations, such as the Windows Subsystem for Linux. He uses humor and relatable examples to make complex topics accessible. His content often blends technical depth with personal interests, such as his advocacy for STEM and health awareness.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 325,061
  • + High community engagement through conversations
  • + 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 @shanselman reveals an exceptionally influential Twitter presence with 325,061 followers. The account demonstrates a conversation-first approach, averaging 1,092.3 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