Supinya Klangnarong

Supinya Klangnarong

@supinya

Co-founder of https://cofact.org/, Former Commissioner of National Broadcast&Telecom Commission (NBTC)​ อดีต กสทช. freebird digitalRights vipassana​ Be happy.

City of Angels, Siam https://www.supinya.com/ Joined 2008-12-22 Date of Analysis: Dec 16, 2025

74,838

Followers

3,544

Following

111,322

Tweets

523.8

Avg Engagement

455

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @supinya'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:2008-12-22
  • Verification:No
  • Location:City of Angels, Siam

Data Summary

  • Tweets Analyzed:3,190
  • Avg Likes per Tweet:8.6
  • Avg Retweets per Tweet:515.1
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,190 tweets

{'likely_engagement_rate': 'Moderate to High (assuming high-quality content and a dedicated audience). Given the following count and lack of following, engagement rate is a key metric to observe.', 'common_engagement_types': 'Likes, retweets (shares), comments (questions about recipes, requests for clarifications, praise for dishes).', 'content_formats_likely_to_perform_well': 'Photos of finished dishes, short videos demonstrating techniques, recipe lists, stories featuring cooking processes.'}

8.6

Avg Likes/Tweet

515.1

Avg Retweets/Tweet

27,581

Total Likes

1,643,321

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

6

Median Retweets

42

75th Percentile

123,761

Top Tweet

7.0

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

4.4%

Original

17.7%

Replies

74.1%

Retweets

3.7%

Quotes

0.0%

Threads

0.2%

With Media

79.1%

With Links

50.7%

With #Tags

83.5%

With @Mentions

13.8%

With Emojis

214

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.01

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.2%

Weekday Posts

22.8%

Weekend Posts

Top Hashtags

#โคว (363) #ข (225) #covid19 (160) #cofact (115) #thaipbs (87) #ว (79) #ช (57) #กร (56) #กสทช (55) #ส (50)

Most Mentioned

@cofactcoform (630) @cofactthailand (247) @supinya (137) @takornnbtc (99) @thaipbs (88) @yozzo (72) @consumerthaiffc (64) @nbtcrights (59) @sureandshare (47) @thansettakij (44)

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Content Strategy Analysis

Based on 3,190 tweets

Content Type Distribution

Content Breakdown

Original Tweets 141 (4%)
Replies 566 (18%)
Retweets 2,364 (74%)
Quote Tweets 119 (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 2,364 retweets (74% 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 3,190 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 10,000 followers

{'interests': 'Thai cuisine, cooking, food photography, travel (Thailand), traditional recipes, Asian culture.', 'likely_demographics': 'Primarily Thai speakers, likely with a significant portion interested in Thai cooking, food culture, and travel. Could also include expats living abroad interested in recreating Thai dishes.', 'potential_influencers_followed': 'Likely follows other Thai food bloggers, chefs, or cultural influencers (if they were following anyone).'}

Average

Audience Quality

33.5%

Suspicion Index

42.7%

Low-Quality %

9

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

55.6%

Empty Bio

39.6%

<10 Tweets

9.8%

Mass Following (>2K)

0.0%

New (<90 days)

75.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.5%

No URL

29.7%

<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.

12,080,127

Total Potential Reach

9

Median Follower Reach

54

75th Percentile Reach

3.7%

>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).

42.6%

Creators

4,264 accounts

17.7%

Consumers

1,773 accounts

39.6%

Dormant

3,963 accounts

24

Verified Followers

0.24% of total

2.6%

Professional Bios

founder, dev, analyst, etc.

0.03

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):

Bangkok, Thailand (542) Thailand (444) ประเทศไทย (168) กรุงเทพมหานคร, ประเทศไทย (144) Bangkok (97) Chiang Mai, Thailand (21) BKK (21) bangkok (19) thailand (18) Bangkok Thailand (15)

24

Verified Followers

0.24% of total

1,525

Protected Accounts

15.25% of total

6 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
@wongthanong 1,975,953 Founder News, Media, Journalism
@Thanathorn_FWP 1,824,476 Politician Adventurer, Physical strength, Mental strength
@LoukgolfLG 1,041,377 Student English, Travel, Education
@onenews31 907,206 News Anchor news, television, channel 31
@AmaratJeab 510,676 Politician politics, public service, activism
@WarrenWhitlock 476,882 Entrepreneur blockchain, AI, digitalmarketing
@chaturon 391,472 Politician Politics, Social Justice, Advocacy
@JudahWorldChamp 381,036 Comedian stand-up comedy, livestream shows, performance art
@Asamsakti 282,955 Art Lover Art, Technology, Tea
@MayWongCNA 223,931 - -

Top Keywords in Follower Bios

love (110) news (81) life (80) thailand (75) music (57) world (50) happy (43) media (38) account (36) thai (36)

Top Hashtags in Follower Bios

#ร (22) #ยกเล (12) #ข (11) #ส (10) #เร (9) #thailand (9) #เป (8) #เช (7) #ไม (7) #ปล (6)

4,436

Followers With Bio

5,564

Followers Without Bio

44.36%

% With Bio

55.64%

% 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 3,190 analyzed

393,834

Combined Engagement

0

Total Likes

393,834

Total Retweets

78,767

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Thai Recipes Thai Cooking Techniques Authentic Thai Food Thai Ingredients Food Photography
Supinya Klangnarong
@supinya

RT @louie_tran: Black Lives Matter protest in Los Angeles. https://t.co/eKY30ig2FL

2020-06-08
Retweets: 123,761 Likes: 0 Engagement: 123,761
Supinya Klangnarong
@supinya

RT @Twitter: Good news and bad news: 2020 is half over

2020-07-01
Retweets: 111,989 Likes: 0 Engagement: 111,989
Supinya Klangnarong
@supinya

RT @TwitterSafety: As a result of the unprecedented and ongoing violent situation in Washington, D.C., we have required the removal of three @realDonaldTrump Tweets that were posted earlier today for repeated and severe violations of our Civic Integrity policy. https://t.co/k6Ok

2021-01-07
Retweets: 58,083 Likes: 0 Engagement: 58,083
Supinya Klangnarong
@supinya

RT @Sulli_Thailand: เรื่องซอลลี่กับผ้าอนามัย - บริจาคผ้าอนามัย 100,000 ชิ้น - อยากทำกระเป๋าใส่ผ้าอนามัยให้เป็นแฟชั่น จะได้ถืออย่างมั่นใจ - อยากทำผ้าอนามัยแบบออแกนิคจะได้ดีต่อสุขภาพ - อยากให้มีผ้าอนามัยในห้องน้ำ คนรายได้ต่ำสามารถเข้าถึงได้ง่าย - อยากให้คนอื่นหยุดคิดว่าผ้าอนามัยเป

2020-09-04
Retweets: 55,944 Likes: 0 Engagement: 55,944
Supinya Klangnarong
@supinya

RT @TwitterSafety: Future violations of the Twitter Rules, including our Civic Integrity or Violent Threats policies, will result in permanent suspension of the @realDonaldTrump account.

2021-01-07
Retweets: 44,057 Likes: 0 Engagement: 44,057

Key Insights & Takeaways

['The zero following count suggests a strategy of focusing solely on broadcasting content to followers rather than actively engaging with other accounts.', 'A compelling bio would significantly improve discoverability and attract new followers.', 'Visual content (photos and videos) is likely crucial for engagement, given the nature of the account.', 'Translation of content into English (or other languages) could broaden the reach and appeal to a larger international audience.', 'Analyzing comments and questions can provide valuable insights into audience needs and inform future content creation.']

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 74,838
  • + 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 @supinya reveals an well-established Twitter presence with 74,838 followers. The account demonstrates a conversation-first approach, averaging 523.8 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