Get live statistics and analysis of WEB3 MAJO ♞'s profile on X / Twitter

Building since 23'→•SpaceHost🎙️•project Lead•@RuffieAi →and BDM @victuscapital.

993 following4k followers

The Connector

WEB3 MAJO ♞ is the ultimate reply guy thriving in the Web3 space, known for fostering engagement through constant interaction and thoughtful replies. As a project lead and business development manager, they seamlessly connect communities and ideas while leading exciting projects. Their passion for Web3 shines through their high-volume, meaningful conversations, creating a vibrant network around them.

Impressions
250.1k-31
$46.88
Likes
281
79%
Retweets
5
1%
Replies
611
17%
Bookmarks
9
3%

If being a 'reply guy' was an Olympic sport, WEB3 MAJO ♞ would have more golds than Michael Phelps—and still find time to respond to your DMs faster than you can blink.

Successfully leading @RuffieAi and managing business development at @victuscapital while simultaneously creating one of the most active and engaged Web3 communities on X.

To build and nurture a thriving Web3 community by creating meaningful connections, fostering conversations, and driving collaborative projects that advance the decentralized future.

They believe in the power of consistent engagement and relational growth over broadcast messaging alone, valuing direct communication, collaboration, and mutual success within the Web3 ecosystem.

Relentless engagement and genuine interaction, turning followers into a connected network, plus a knack for leading projects and business development within the Web3 world.

High volume of replies may risk diluting personal brand clarity, and focusing too much on replies might limit original thought leadership or content creativity.

To grow their audience, WEB3 MAJO ♞ should blend their strong reply game with more original authoritative content—thread deep dives, unique insights or personal stories—to showcase thought leadership and attract followers who want both interaction and inspiration.

WEB3 MAJO ♞ has tweeted over 51,000 times, embracing the role of 'reply guy'—meaning they actively respond and engage with others rather than just broadcasting their own content.

Top tweets of WEB3 MAJO ♞

A step-by-step guide to audit a telegram community Learn to audit your community with already exisiting Database This guide took the previous project i worked with of 400 members to 52 active users of the campaign from 5 team members and 6 community members that were active to 52 active user in just 2 weeks in March RT & Don't Bookmark Implement now! 🧵 ------------------------------------------------------------------------------ PART 1: How to Extract Telegram Data for Audit Option A: 1. Open Telegram through laptops (Make sure you are logged into the account that is in the group/channel). 2. Go to Settings Click the ☰ (menu) in the top-left corner. Select Settings. 3. Advanced Settings Inside Settings, click Advanced. 4. Export Telegram Data Scroll down to Data and Storage section. Click Export Telegram Data. Telegram Desktop │ ▼ Menu (☰) │ ▼ Settings │ ▼ Advanced │ ▼ Export Telegram Data You can export chats, media, member activity, etc. Then analyze with Excel/Google Sheets. Option B: Using Analytics Bots Add bots like Combot, GroupAnalytic, especially FullystBot and TeleMe. They’ll automatically track: Growth Active users Engagement Message types Top contributors ------------------------------------------------------------------------------ PART 2: Telegram Audit Report Template Here’s a structure you can use (fill in data after extraction): Telegram Community Audit Report Community Name: [Group/Channel Name] Date of Audit: [dd/mm/yyyy] Period Covered: [e.g., last 30 days] 1. Growth Metrics Total Members: X New Members (last 30 days): X Members Left (last 30 days): X Growth Rate: X% NB: You can use the CHURN RATE formula for further calculation of the Growth rate and engagement rate it's more detailed. 2. Engagement Metrics Total Messages: X Avg. Messages per Day: X Active Members: X Engagement Rate: X% (active ÷ total members) 3. Content Analysis Types of Messages: Text: X% Media: X% Links: X% Polls/Quizzes: X% Top Topics Discussed: X (Relevance it brings to the project) 4. Top Contributors 1. @username – X messages 2. @username – X messages 3. @username – X messages 5. Community Health % Active vs Inactive Members: X% active Spam/Bot Activity: Low / Medium / High Moderation Effectiveness: X Then Finally give your Recommendation Score a pass mark using percentage %

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Most engaged tweets of WEB3 MAJO ♞

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