Advanced Telegram Lead Sourcing for Web3: Hidden Tactics That Still Work in 2025
- Grigorii Mordkovich
- Oct 7
- 4 min read
Intro
In 2025, most Web3 BD teams are messaging the same founders, scraping the same Telegram lists, and using the same tools. Everyone’s chasing the same contacts.
At Spredo, we're taking a different approach.
We built ways to find hidden, verified Web3 leads before anyone else — directly on Telegram, using creative data sourcing and automation.
Below are the non-trivial sourcing techniques that consistently give our clients a head start 👇
1. Hidden Incubator Portfolios
Some of the best early-stage leads are hidden inside incubator portfolios and accelerator directories — long before they’re listed on CMC or public Web3 databases.
Pages like:
Animoca Brands Portfolio
Alliance DAO Cohorts
Outlier Ventures Directory
contain hundreds of projects about to raise, launch tokens, or expand BD.
We use lightweight scripts to extract these project names and match them to Telegram handles inside Spredo’s contact database, surfacing founders and BD leads that are weeks ahead of the market.
🧩 Why it works
You reach projects before the crowd does — when they’re still open to new tools, partnerships, or integrations.
2. Projects Likely to Launch a Token Soon
Pre-launch projects are the most responsive because they’re in full partnership and growth mode.
We find them by combining:
Santiment Trending Leaderboards — on-chain & social momentum = token prep.
Airdrops.io — upcoming airdrops often signal an imminent launch.
IDO Calendars (ICO Drops, DAO Maker) — the next token sale pipeline.
We import those project names into Spredo, enrich for Telegram contacts, and target BD leads or founders right before the hype window peaks.
⚡ Why it works
Pre-IDO timing gives 2× higher reply rates — and builds relationships before everyone else starts DM’ing them.
3. YouTube Influencers → Telegram Mapping
Influencers act as connectors in Web3.
They run Telegram groups, manage affiliate deals, and connect with project founders daily.
Our workflow:
1️⃣ Collect YouTube videos by keywords (“wallet review,” “IDO analysis,” “token launch”).
2️⃣ Extract channel usernames.
3️⃣ Match those to Telegram accounts via Spredo’s identity resolver.
In one case, we matched 60+ influencer Telegram accounts from 300+ crypto YouTube channels — all with partnership or BD potential.
🎯 Why it works
Influencers open warm BD doors. One intro from the right Telegram group can equal 50 cold messages.
4. GPT Deep Research for Non-Standard Lead Requests
Some requests can’t be solved with databases. Example:
“Find Telegram groups of crypto mining vendors in Eastern Europe.”
“List iGaming projects accepting crypto with active Telegram support.”
We handle such queries with GPT-based deep research, powered by:
Google Search API for structured discovery.
Entity extraction for company names and URLs.
Spredo enrichment to verify Telegram presence + key contacts.
⚙️ Why it works
Turns what would be hours of manual search into a scalable, repeatable sourcing workflow — perfect for niche verticals.
5. Google Maps API for Real-World Crypto Businesses
One of the most underrated sources: physical-world crypto businesses.
Using Google Maps API, we:
1️⃣ Search globally for keywords like “crypto ATM,” “mining shop,” “hardware wallet store,” or “blockchain consultancy.”
2️⃣ Collect company names and website URLs.
3️⃣ Run two enrichment paths inside Spredo:
Path A — Telegram Link Extraction: Detect Telegram links or icons on company sites → enter community or support groups → extract admins and decision-makers from those chats.
Path B — Phone Matching: If Telegram isn’t listed, extract phone numbers → run direct number-to-Telegram matching → identify verified user accounts.
In one dataset, this process found 90+ crypto accessory shops worldwide, with 22 already having Telegram channels linked on their websites.
🌍 Why it works
This blends offline data with Telegram intelligence — unlocking BD opportunities that 99% of sales tools miss.
⚡ Mini Case Insight
In two campaigns powered by these sourcing techniques:
🎯 Targeting precision improved by 42%.
💬 Reply rates increased by 36%.
⚙️ Campaign setup time dropped from 3 days to under 6 hours.
It’s not just automation — it’s strategic sourcing.
💡 FAQ: Finding Hidden Web3 Leads
How does Spredo find Telegram leads others can’t?
By combining automation, open data (like incubator portfolios), and enrichment layers that match emails, phone numbers, or usernames directly to Telegram accounts.
Can I automate this process myself?
Partially — scripts for scraping incubators or YouTube can be run manually. But Spredo’s strength lies in automatically enriching and matching those records to verified Telegram profiles.
What’s the biggest benefit of using GPT and Maps APIs?
They allow for “off-database” lead discovery — meaning we can find Web3 businesses that never appear in public contact lists.
Is this compliant with Telegram’s terms?
Yes. All data Spredo processes comes from publicly available web sources or voluntarily listed business information.
What’s the average campaign performance boost?
Clients using these advanced sourcing workflows saw 30–50% higher reply rates compared to traditional lists.
🚀 Conclusion
Web3 sales is no longer about who messages more — it’s about who messages smarter.
By blending automation, signal detection, GPT research, and Telegram enrichment, Spredo helps BD teams build contact databases weeks ahead of the market.
and let’s find your next 100 Web3 clients — before anyone else does!
