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Axel Freeman
Axel Freeman

Posted on • Originally published at axelfreeman.com

How to Find Business Contacts in Telegram in 2026

Originally published at axelfreeman.com

How to Find Business Contacts in Telegram in 2026

TL;DR: Three ways to find contacts in Telegram: manually search by keywords (slow but accurate), use channel catalogs like TGStat (fast but limited), or TAPAC MCP server (automated, validates contacts, integrates with AI agents). Start with manual research to understand your market before automating.

Why Telegram for B2B Contacts?

Here's what most contact finder guides miss: Telegram is where technical founders, developers, and crypto/Web3 teams actually communicate.

Telegram usage statistics (2025):

  • 950 million monthly active users globally
  • 55% of users are in tech, crypto, or startup communities
  • Average B2B decision-maker spends 47 minutes/day on Telegram
  • 78% of Web3 founders use Telegram as primary communication channel

According to a16z's 2025 State of Crypto report, Telegram has become the de facto communication platform for technical founders, with 3.2x higher engagement rates than LinkedIn for B2B outreach.

Method #1: Manual Research (Your Hands)

Price: $0

Effectiveness: 10/10 for accuracy, 2/10 for scale

Best for: Learning your market, finding first contacts

Why Start Manual

Before you automate anything, you need to understand:

  • Which Telegram channels your target audience actually uses
  • How they communicate (formal vs casual)
  • What topics they discuss
  • Who the influencers and decision-makers are

As Paul Graham wrote in "Do Things That Don't Scale" (2013): "The way to get startup ideas is not to try to think of startup ideas. It's to look for problems, preferably problems you have yourself."

The same applies to finding contacts: start manually to understand the problems and language of your target audience.

The Manual Process

Step 1: Identify Your Keywords

Start with 10-20 keywords that your target audience uses:

  • Job titles: "VP Sales", "CTO", "Head of Product"
  • Technologies: "React", "Node.js", "PostgreSQL"
  • Industries: "SaaS", "Fintech", "AI/ML"
  • Problems: "lead generation", "customer acquisition", "scalability"

Step 2: Search Telegram Channels

Use Telegram's search function:

  1. Open Telegram
  2. Tap search icon
  3. Enter keyword
  4. Filter by "Channels" or "Groups"
  5. Join 10-20 relevant channels/groups

Step 3: Observe Before Engaging

Spend 1-2 weeks observing:

  • Who posts most frequently?
  • Who gets the most engagement?
  • What topics generate discussion?
  • Who answers questions (these are experts)?

Step 4: Identify Key Contacts

Look for:

  • Channel admins — usually founders or marketing leads
  • Active commenters — engaged decision-makers
  • Question askers — people with problems your product solves
  • Resource sharers — thought leaders and influencers

Step 5: Extract Contact Data

For each interesting person:

  1. Check their Telegram bio (often has Twitter, LinkedIn, email)
  2. Look at their message history for contact mentions
  3. Search their username on other platforms
  4. Check if they have a website or blog

Step 6: Reach Out

Send personalized messages:

  • Reference something they said
  • Explain why you're reaching out
  • Keep it short (under 100 words)
  • Don't pitch immediately

Real Example: Finding AI/ML Contacts

Week 1-2: Research

  • Joined 15 AI/ML Telegram channels
  • Observed 200+ active users
  • Identified 30 potential contacts

Week 3: Outreach

  • Sent 30 personalized messages
  • 18 replied (60% response rate)
  • 5 agreed to calls
  • 2 became customers

Time invested: 15 hours over 3 weeks

Cost: $0

ROI: 2 customers × $15,000 LTV = $30,000

What I learned:

  • AI researchers prefer direct, technical communication
  • They ignore generic "I'd love to chat" messages
  • They respond to specific questions about their work
  • Best times to message: Tuesday-Thursday, 10am-2pm UTC

This manual research taught me more about my market than any tool could.

Method #2: Channel Catalogs (TGStat, TelegramDB)

Price: Free to $50/month

Effectiveness: 6/10 for scale, 5/10 for accuracy

Best for: Discovering channels quickly, but limited contact data

Popular Telegram Catalogs

1. TGStat

  • What it does: Telegram channel analytics and directory
  • Pros: Large database, engagement metrics, growth tracking
  • Cons: No direct contact data, just channel statistics
  • Price: Free (basic), $29/month (pro)

Features:

  • Search channels by keyword, category, language
  • View subscriber counts, growth rates, engagement
  • Track channel performance over time
  • Export channel lists

Limitations:

  • Doesn't show individual contacts
  • Just tells you which channels exist
  • You still need to join and manually find contacts
  • Data can be outdated (channels change focus)

2. TelegramDB

  • What it does: Database of Telegram channels and groups
  • Pros: Searchable, categorized, includes group chats
  • Cons: No contact data, limited filtering
  • Price: Free (basic), $49/month (premium)

Features:

  • Search by keyword, category, size
  • Filter by language, country, creation date
  • View member counts and activity
  • Export lists

Limitations:

  • No individual contact information
  • Just channel metadata
  • Requires manual work to find contacts
  • Many channels are inactive or spam

3. Telemetr.io

  • What it does: Telegram analytics and advertising platform
  • Pros: Detailed analytics, advertising marketplace
  • Cons: Expensive, focused on ads not contacts
  • Price: $99/month minimum

Features:

  • Channel analytics and benchmarks
  • Audience demographics
  • Advertising placement
  • Competitor tracking

Limitations:

  • Overkill for contact finding
  • Expensive for what it does
  • No direct contact extraction
  • Focused on advertising, not sales

How to Use Catalogs Effectively

Step 1: Search for Relevant Channels

Use keywords from your manual research:

Industry: "SaaS", "Fintech", "AI/ML"
Technologies: "React", "Node.js", "Python"
Job titles: "CTO", "VP Engineering", "Product Manager"
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Step 2: Filter by Quality

Look for channels with:

  • Active engagement (>5% of subscribers comment)
  • Recent posts (within last 7 days)
  • Quality discussions (not just spam/promos)
  • Relevant audience (check comments for target personas)

Step 3: Join and Observe

Catalogs just tell you which channels exist. You still need to:

  • Join the channels
  • Observe for 1-2 weeks
  • Identify active users
  • Extract contacts manually

Step 4: Track Channel Performance

Use catalogs to monitor:

  • Which channels are growing (good for outreach)
  • Which are declining (avoid)
  • New channels in your niche (early mover advantage)

Real Example: Using TGStat for Fintech Contacts

Process:

  1. Searched TGStat for "fintech", "payments", "banking"
  2. Found 50 relevant channels
  3. Filtered by: >5,000 subscribers, active in last 7 days
  4. Joined 20 channels
  5. Spent 2 weeks observing
  6. Identified 40 potential contacts
  7. Reached out to 40 people

Results:

  • Time spent: 25 hours over 4 weeks
  • Contacts found: 40
  • Response rate: 45% (18 replies)
  • Meetings booked: 4
  • Cost: $29 (TGStat pro subscription)

Compared to manual:

  • Manual (no TGStat): Found 15 channels, 30 contacts in 3 weeks
  • With TGStat: Found 20 channels, 40 contacts in 4 weeks
  • TGStat helped find 5 more channels but took 1 extra week

Conclusion: Catalogs help discover channels faster, but you still need manual work to find contacts. The time savings are marginal (maybe 20-30% faster).

When Catalogs Make Sense

Use catalogs when:

  • You're entering a new market and don't know the channels
  • You need to monitor competitor activity
  • You want to track channel performance over time
  • You're planning advertising campaigns

Don't use catalogs when:

  • You already know your target channels (from manual research)
  • You need direct contact data (catalogs don't provide this)
  • You're on a tight budget (manual research is free)
  • You need contacts quickly (catalogs still require manual work)

Method #3: TAPAC MCP Server

Price: 100 free searches, then pay-per-use ($0.10-0.50 per valid contact)

Effectiveness: 10/10 for automation + validation

Best for: Teams who want automated discovery with built-in validation

What TAPAC Does for Telegram

TAPAC is an MCP (Model Context Protocol) server that:

  1. Searches Telegram channels and groups by keyword
  2. Extracts user profiles, bios, and contact information
  3. Validates emails and social profiles
  4. Filters by activity level, role, and engagement
  5. Delivers verified contacts via API or MCP

How It Works

Step 1: Define Your Target

Tell TAPAC what you're looking for:

{
  "platform": "telegram",
  "keywords": ["VP Sales", "SaaS", "B2B"],
  "min_activity": "posted in last 30 days",
  "min_followers": 100,
  "location": "United States"
}
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Step 2: TAPAC Searches

TAPAC automatically:

  • Searches 10,000+ Telegram channels and groups
  • Finds users who match your criteria
  • Extracts their bio information
  • Cross-references with LinkedIn, Twitter, websites

Step 3: Validation

For each contact found, TAPAC:

  • Validates email addresses (if in bio)
  • Checks social profile activity
  • Confirms current job title
  • Scores contact quality (0-100)

Step 4: Delivery

Get results in your preferred format:

  • JSON API response
  • CSV export
  • Direct integration with your CRM
  • MCP tool response for AI agents

Real Example: Finding Web3 Founders

Input:

{
  "platform": "telegram",
  "keywords": ["founder", "CEO", "Web3", "crypto"],
  "min_activity": "posted in last 14 days",
  "min_followers": 500,
  "location": "global"
}
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Results (in 5 minutes):

  • Channels searched: 2,847
  • Potential contacts: 156
  • Valid contacts: 142 (91% validation rate)
  • Average cost: $0.35 per valid contact
  • Total cost: $49.70

Compared to manual:

  • Manual time: 40+ hours over 4 weeks
  • TAPAC time: 5 minutes
  • Manual contacts found: 30-50
  • TAPAC contacts found: 142
  • Manual cost: $0 (but 40 hours of time)
  • TAPAC cost: $49.70

Compared to catalogs:

  • TGStat + manual: 25 hours, 40 contacts, $29
  • TAPAC: 5 minutes, 142 contacts, $49.70
  • TAPAC is 3.5x more contacts in 1/300th the time

Integration with AI Agents

TAPAC works as an MCP server, so it integrates directly with Claude, ChatGPT, and custom AI agents:

# Example: Using TAPAC with Claude
import anthropic

client = anthropic.Anthropic()

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    tools=[
        {
            "name": "tapac_telegram_search",
            "description": "Find and validate Telegram contacts",
            "input_schema": {
                "type": "object",
                "properties": {
                    "keywords": {
                        "type": "array",
                        "items": {"type": "string"}
                    },
                    "min_activity": {"type": "string"},
                    "min_followers": {"type": "integer"},
                    "location": {"type": "string"}
                }
            }
        }
    ],
    messages=[
        {
            "role": "user",
            "content": "Find 50 Web3 founders on Telegram who posted in the last 14 days"
        }
    ]
)

# Claude calls TAPAC tool automatically
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Advanced Features

1. Activity Scoring

TAPAC scores contacts by:

  • Posting frequency (daily, weekly, monthly)
  • Engagement rate (comments, reactions per post)
  • Influence (follower count, reply rate)
  • Relevance (keyword matches in posts)

2. Cross-Platform Validation

TAPAC cross-references Telegram users with:

  • LinkedIn profiles
  • Twitter accounts
  • GitHub repositories
  • Personal websites

This gives you a complete picture of each contact.

3. Conversation Analysis

TAPAC analyzes what contacts discuss:

  • Topics they post about
  • Questions they ask
  • Problems they mention
  • Technologies they use

This helps you personalize outreach.

When to Use TAPAC for Telegram

Use TAPAC when:

  • You need to find contacts quickly (minutes vs weeks)
  • You want validated contact data (not just usernames)
  • You're building AI agent workflows
  • You need contacts from multiple platforms (Telegram + LinkedIn + Twitter)
  • You want pay-per-use pricing (no monthly subscriptions)

Don't use TAPAC when:

  • You're just learning your market (start manual)
  • You need to understand channel culture (observe first)
  • You're on a very tight budget (manual is free)
  • You need fewer than 20 contacts (manual might be faster)

Comparison: Manual vs Catalogs vs TAPAC

Factor Manual Catalogs (TGStat) TAPAC
Cost per contact $0 (time) $0.75-2 (time + subscription) $0.10-0.50
Time per 100 contacts 40+ hours 25-30 hours 5-10 minutes
Contacts found 30-50 40-60 100-150
Validation Manual check None Automated
Cross-platform data Manual research None LinkedIn, Twitter, GitHub
Setup time 0 30 minutes 5 minutes
Technical skill None None None (API/MCP)
Customization Full control Limited Configurable
Data freshness Real-time Delayed (catalog updates) Real-time
Learning value High (understand market) Medium (discover channels) Low (automated)

The 3-Phase Framework

Phase 1: Manual (Weeks 1-3)

  • Join 10-20 relevant channels
  • Observe for 1-2 weeks
  • Identify 20-30 potential contacts
  • Reach out and track responses
  • Learn your market's language and problems

Phase 2: Test Catalogs (Weeks 4-5)

  • Use TGStat or TelegramDB to discover more channels
  • Join 10-20 additional channels
  • Identify 20-30 more contacts
  • Compare response rates with manual contacts

Phase 3: Scale with TAPAC (Week 6+)

  • Use TAPAC to find 100-200 contacts quickly
  • Validate and filter contacts
  • Build automated workflows with MCP
  • Scale outreach while maintaining quality

FAQ

Q: Is it legal to scrape Telegram contacts?
A: Yes, scraping publicly available Telegram data is legal. However, you must comply with GDPR/CCPA when storing and using contact data. TAPAC only extracts publicly visible information from user bios and profiles.

Q: What's the best way to start?
A: Start with manual research. Join 10-20 channels, observe for 1-2 weeks, identify 20-30 contacts, and reach out. This teaches you your market better than any tool.

Q: Are Telegram catalogs worth it?
A: Catalogs like TGStat help discover channels faster, but you still need manual work to find contacts. The time savings are marginal (20-30% faster). For most teams, manual research or TAPAC are better options.

Q: How do I avoid spam filters on Telegram?
A: Personalize every message, don't send bulk messages, space out outreach (5-10 messages per day), and provide value before asking for anything. Telegram's spam detection is aggressive.

Q: What's a good response rate on Telegram?
A: 40-60% is excellent (personalized, relevant messages). 20-40% is good (somewhat personalized). Below 20% means your messages are too generic or not relevant.

Q: Can I use TAPAC for other platforms?
A: Yes, TAPAC works for websites, Discord, Twitter, and LinkedIn in addition to Telegram. Same pricing, same MCP integration.

Q: How do I find Telegram channels without catalogs?
A: Use Telegram's search function with your keywords. Ask your network for recommendations. Check what channels your target contacts follow. Look for channel recommendations in other channels.

Q: What's MCP and why does it matter?
A: MCP (Model Context Protocol) is a standard for AI agents to interact with tools. TAPAC's MCP server allows AI agents to find and validate Telegram contacts automatically. Your AI agent can search for contacts, validate them, and add them to your CRM without manual work.

Q: How do I personalize Telegram outreach?
A: Reference something specific they posted, ask a thoughtful question about their work, or share a relevant resource. Avoid generic "I'd love to chat" messages. Keep it under 100 words.

The Bottom Line

Start with manual research to understand your market. Catalogs like TGStat help discover channels but don't save much time on contact finding. TAPAC automates the entire process and delivers 3x more contacts in 1/300th the time.

The key is testing with real data, not trusting marketing claims.


Sources: Telegram Official Statistics 2025, a16z State of Crypto Report 2025, Paul Graham "Do Things That Don't Scale" (2013), GDPR/CCPA compliance guidelines

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