Pete Skomoroch
Investor and AI startup founder. Focus: AI, LLMs, LifeOps, AI Product Management. Was founder @SkipFlag. EIR @Accel. Data Science & ML @LinkedIn, @AOL & @MIT
52,756
Followers
6,614
Following
66,580
Tweets
142.4
Avg Engagement
2,717
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @peteskomoroch'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:2008-04-09
- Verification:No
- Location:San Francisco
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:6.2
- Avg Retweets per Tweet:136.2
- Followers Analyzed:9,976
Engagement Analysis
Based on 3,242 tweetsHis tweets receive significant engagement, indicating a strong and active community interested in AI and related fields. The high average likes and retweets suggest his content is both informative and thought-provoking.
6.2
Avg Likes/Tweet
136.2
Avg Retweets/Tweet
20,158
Total Likes
441,568
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
37
75th Percentile
20,773
Top Tweet
2.7
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
2.9%
Original
29.0%
Replies
56.8%
Retweets
11.3%
Quotes
0.0%
Threads
0.7%
With Media
57.6%
With Links
2.6%
With #Tags
87.0%
With @Mentions
12.4%
With Emojis
183
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.11
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.5%
Weekday Posts
26.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 tweetsContent Type Distribution
Content Breakdown
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 1,842 retweets (57% 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 3,242 tweetsEngagement 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 9,976 followersHis audience is likely interested in AI, machine learning, and startup innovation. They are likely professionals in tech, investors, and researchers looking for insights and updates on AI advancements.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
88
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
69.0%
No URL
100.0%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
42,527,404
Total Potential Reach
88
Median Follower Reach
412
75th Percentile Reach
14.7%
>1K followers
3.1%
>10K followers
0.9%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,976 accounts
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):
0
Verified Followers
0.0% of total
939
Protected Accounts
9.39% 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 | 14,097,060 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BillyM2k | 2,163,836 | Blogger | crypto, blogging, affiliate marketing |
| @SinghLions | 1,325,820 | Restaurateur | Food, Travel, Influencer |
| @pmarca | 1,264,623 | Investor | Tucked shirt |
| @BillKristol | 1,043,347 | Political Commentator | Politics, Journalism, Commentary |
| @MarioNawfal | 921,530 | - | - |
| @Jason | 737,293 | Investor | startups, investing, podcasting |
| @DavidSacks | 704,094 | Venture Capitalist | Venture Capital, Podcasting, Entrepreneurship |
| @paraga | 601,636 | - | - |
| @Scobleizer | 465,379 | Music Producer | Music, Metaverse, Dolby Atmos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,123
Followers With Bio
2,877
Followers Without Bio
71.23%
% With Bio
28.77%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,242 analyzed80,479
Combined Engagement
0
Total Likes
80,479
Total Retweets
16,096
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @ENERGY: BREAKING NEWS: This is an announcement that has been decades in the making. On December 5, 2022 a team from DOE's @Livermore_Lab made history by achieving fusion ignition. This breakthrough will change the future of clean power and America’s national defense forev
RT @OpenAI: Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: https://t.co/TwLFssyALF https://t.co/lYWwPjZbSg
RT @volodarik: Sunday read. This is hilarious. Engineers are competing who creates the worst UI on Reddit. I think the winners are: 1/ Enter your phone number https://t.co/944duji1Im
RT @MarkHamill: "Happy" Father's Day https://t.co/9MsNPmmKKc
RT @AJamesMcCarthy: Throwback to the time I was shooting the sun and a plane flew perfectly through it, and a bunch of smart strangers figured out which flight it was and got me in touch with the pilot, who was thrilled 🥰 https://t.co/7RQMtIHlsf
Key Insights & Takeaways
He frequently shares groundbreaking AI research and developments, which indicates a focus on staying ahead in the AI space. He emphasizes the importance of iterative refinement and self-improvement in LLMs, suggesting a deep interest in advancing AI capabilities. His tweets often highlight moments that could redefine the field, showing a strategic and forward-thinking approach to AI innovation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 52,756
- + 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 @peteskomoroch reveals an well-established Twitter presence with 52,756 followers. The account demonstrates a conversation-first approach, averaging 142.4 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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