Nischal (Shardeum) 🔼
Building @Shardeum, Founder @WazirXIndia, @Crowdfire Let’s make decentralization accessible to everyone 🤝 #BuildWeb3 #Shardian
487,329
Followers
13,150
Following
36,157
Tweets
71.9
Avg Engagement
1,095
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NischalShetty'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:2008-04-01
- Verification:No
- Location:Metaverse
Data Summary
- Tweets Analyzed:100
- Avg Likes per Tweet:46.6
- Avg Retweets per Tweet:25.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 100 tweetsHis tweets typically receive moderate engagement, with an average of 139 likes and 26 retweets. The community often responds positively to updates about project milestones and community growth.
46.6
Avg Likes/Tweet
25.2
Avg Retweets/Tweet
4,664
Total Likes
2,523
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
15
Median Likes
7
Median Retweets
110
75th Percentile
1,611
Top Tweet
0.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
28.0%
Original
48.0%
Replies
5.0%
Retweets
19.0%
Quotes
0.0%
Threads
1.0%
With Media
36.0%
With Links
30.0%
With #Tags
45.0%
With @Mentions
35.0%
With Emojis
187
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.71
Reply/Original Ratio
3.8
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.0%
Weekday Posts
33.0%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 100 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 5 retweets (5% 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 100 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 50,000 followersHis audience primarily consists of crypto enthusiasts, developers, and investors interested in blockchain projects and regulatory changes. The community is highly engaged and active, particularly around Shardeum and related initiatives.
Average
Audience Quality
23.0%
Suspicion Index
26.3%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
25.1%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
47.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.1%
No URL
14.5%
<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.
34,415,295
Total Potential Reach
30
Median Follower Reach
118
75th Percentile Reach
4.3%
>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).
48.0%
Creators
23,983 accounts
27.0%
Consumers
13,482 accounts
25.1%
Dormant
12,535 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):
950
Verified Followers
0.94% of total
5,217
Protected Accounts
5.17% 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 |
|---|---|---|---|
| @belufrancese | 1,007,840 | Influencer | NFTs, Crypto, Bitcoin |
| @RaoulGMI | 994,970 | Investment Strategist | Investment, Economics, Travel |
| @NoraEstia | 782,317 | Crypto Influencer | Crypto, Giveaways, NFT |
| @im_aathmika | 778,097 | Influencer | Self-improvement, Empowerment, Growth |
| @cryptomanran | 701,995 | Crypto Influencer | Cryptocurrency, Investing, Blockchain |
| @GinoAssereto | 694,119 | Marketing Strategy Advisor | Crypto, Marketing, NFT |
| @solalexasch | 678,759 | Musician | Music, Travel, Tattoos |
| @CryptoGemsCom | 561,042 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
| @ibcig | 557,432 | Investor | Crypto, Gaming, Investing |
| @AshwiniUpadhyay | 533,439 | Politician | Nationalism, Anti-corruption, Unity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,779
Followers With Bio
40,217
Followers Without Bio
60.18%
% With Bio
39.82%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 100 analyzed2,396
Combined Engagement
664
Total Likes
1,732
Total Retweets
479
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
RT @shardeum: Developers have a new home 👩💻 Find resources to set up #ShardeumSphinx, deploy your dapps, run a validator node & access th…
Congrats to the entire Shardeum community for making this happen Shardeum discord has crossed 300K+ members. It makes Shardeum one of the fastest growing Web3 communities in the world 🚀🚀🚀 #Shardeum $SHM https://t.co/t2NKiw1MCh
Day 419 Shardeum Sphinx seems to be stable in initial tests. Thousands of nodes being operated by community. Largest decentralized Testnet I think! Next step is to get more people to test the network by sending tokens to each other. Do give it a try! Do you see what we’re…
Looks like 2023 is going to be the year of crypto regulations globally Forthcoming events in context of G20 & Crypto 1. IMF paper on Crypto regulation already out 2. World bank & IMF discussion on Crypto regulation this month, April 2023 3. FSB paper on Crypto regulatio
Day 439 Node rewards are important to incentivise network of participants in Blockchain Ensuring that node policy is fair is key to Decentralization At Shardeum, we’re coming up with a reward policy that encourages maximum people to participate as node operators 💪 #BuildWeb3
Key Insights & Takeaways
He frequently shares updates on project progress and community milestones, which indicates a focus on transparency and engagement. His tweets often highlight regulatory developments, suggesting an interest in shaping the future of crypto policy. He emphasizes community-driven initiatives, such as decentralized testnets and large-scale node operations, which reflect a commitment to grassroots involvement.
Strengths
- + Established follower base of 487,329
- + 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 @NischalShetty reveals an growing Twitter presence with 487,329 followers. The account demonstrates a conversation-first approach, averaging 71.9 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access