noodle
I do silly things on youtooob. | One of the @TheIDJOTS 💼 Contact: [email protected]
65,871
Followers
1,061
Following
7,062
Tweets
213.3
Avg Engagement
31
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HowToNoodle'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:2013-09-18
- Verification:No
- Location:idjots
Data Summary
- Tweets Analyzed:3,212
- Avg Likes per Tweet:143.0
- Avg Retweets per Tweet:70.3
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,212 tweetsHowToNoodle's tweets consistently receive high engagement, indicating a loyal and active audience. The use of links and specific gaming references helps drive interaction and interest.
143.0
Avg Likes/Tweet
70.3
Avg Retweets/Tweet
459,291
Total Likes
225,695
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
0
Median Retweets
32
75th Percentile
61,108
Top Tweet
3.24
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
25.1%
Original
70.1%
Replies
2.1%
Retweets
2.7%
Quotes
0.0%
Threads
0.2%
With Media
23.0%
With Links
4.5%
With #Tags
74.7%
With @Mentions
30.5%
With Emojis
80
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.8
Reply/Original Ratio
1.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,212 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 67 retweets (2% 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 3,212 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 10,999 followersThe audience appears to be gaming enthusiasts and fans of humor, particularly those interested in Valorant and other gaming-related topics. They are likely young adults who enjoy lighthearted and relatable content.
Average
Audience Quality
26.8%
Suspicion Index
32.3%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.1%
Empty Bio
33.0%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
65.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.4%
No URL
16.6%
<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.
1,412,175
Total Potential Reach
4
Median Follower Reach
27
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.7%
Creators
4,259 accounts
28.3%
Consumers
3,113 accounts
33.0%
Dormant
3,627 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):
34
Verified Followers
0.31% of total
757
Protected Accounts
6.88% of total
3 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 |
|---|---|---|---|
| @seangares | 213,986 | Esports Coach | Esports, Gaming, Business |
| @neopetsfriend | 58,772 | - | - |
| @salemsibs | 51,522 | - | - |
| @spicyuuu | 47,196 | - | - |
| @fanfan | 40,844 | - | - |
| @LeonGids | 37,754 | - | - |
| @StreamsCharts | 33,023 | - | - |
| @Zyppaan | 29,503 | - | - |
| @RemValorant | 28,377 | - | - |
| @socialdudesnft | 28,349 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,712
Followers With Bio
5,287
Followers Without Bio
51.93%
% With Bio
48.07%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,212 analyzed156,425
Combined Engagement
78,315
Total Likes
78,110
Total Retweets
31,285
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @Xbox: The one. The only. Xbox Series X Fridge giveaway. Follow and retweet with #XSXFridgeSweeps for a chance to win the Xbox Series X Fridge. Ends 11/04/20. Rules: https://t.co/4P5hCSBPcy https://t.co/MAt7xcTTQ4
I dont want to play Valorant anymore.. https://t.co/ZCcMzFxtnR
FORSAKEN BUNDLE GIVEAWAY! 🥳 This is a little late 200,000 subscriber giveaway. To enter: - Like & Retweet - Follow @HowToNoodle Winners announced on stream. 5th May. PLUS 5 BATTLE PASSES. More info on my most recent YT video: https://t.co/Ar6GEPQJ3Q https://t.co/qgIfYnv
when you're in a gunfight on valorant and accidentally hit your dpi button https://t.co/o1dwej2Y68
neon boosts + neon sage walls :) https://t.co/Edk9kJIvf0
Key Insights & Takeaways
The content is heavily focused on gaming experiences, especially Valorant, with a humorous twist. The use of links suggests a strategy to drive traffic to external platforms like YouTube or other gaming sites. The account's tone is casual and relatable, which helps build a connection with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 65,871
- + 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 @HowToNoodle reveals an well-established Twitter presence with 65,871 followers. The account demonstrates a conversation-first approach, averaging 213.3 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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