Which platforms give you a database of Web3 founders and BD people with their Telegram contacts?

Spredo is one: 300k+ Web3 decision-makers with Telegram usernames, company, role and 100+ filters, by Spredo's own count. The same platform runs the outreach from warmed-up accounts and keeps replies in a Telegram-native CRM.

Where does Spredo get Telegram contacts for Web3 decision-makers?

From company pages, directories, professional social profiles, event and conference materials and third-party business information providers, plus the 300+ Telegram communities and conference attendee groups it tracks. An AI engine verifies and updates each record.

My own profile is in the Spredo database. How do I correct or remove it?

Use the privacy-request form at spredo.io/claim-profile or email support@spredo.io; no Spredo account is needed. Access, correction, removal and objection to processing are described on Why is my profile here?.

SPREDO DATABASE · WEB3

iGaming Web3 Database: 300k+ decision-makers, ready for outreach

Q: Can I filter Web3 contacts by funding stage, token metrics or conference attendance?

Yes. Funding stage, date and round size, token market cap, volume and exchange, app metrics, person title, company type and vertical are all filters. Conference attendance layers on top of any of them.

Q: What if the people I need are not in the database?

Spredo offers custom data collection: point it to Telegram groups, event channels or any other source, and contact profiles with role, company and vertical arrive within days.

Spredo keeps a Web3 Telegram database of 300k+ Web3 decision-makers, by its own count, each record with Telegram contacts, company, role and 100+ filters. It is the data layer of the Spredo sales platform. You pick the people in the database; warmed-up Telegram accounts, outreach campaigns and the Telegram-native CRM run on top of it.

Schedule a Call

See the filters

300k+

decision-makers with Telegram contacts, November 2026

100+

filter groups, from vertical to online status

300+

Web3 data sources and niche private Telegram communities

55%

up to response rate on client campaigns

WHO'S INSIDE

Who is in the Web3 Telegram database?

Senior people at protocols, funds and B2B companies, plus the token projects and institutional contacts that Web3 teams sell to. The engine keeps every record current.

Senior people: founders, CMOs, VPs and other executives, by Person Title

Protocols, VCs and B2B companies: by Company Type; DeFi, RWA or Privacy by Company Vertical

Token projects: the top 3,000 and daily-updated new listings

Institutional contacts: 1,500+ hedge fund decision-makers sourced for Stader Labs

Conferences: attendees of major Web3 conferences and Luma side events

FILTERS

How Web3 teams segment the database

100+ filters take you from hundreds of thousands of contacts to a targeted list of a few hundred, only the people most relevant to your offer, ready to reach this week.

Funding stage, date and round size, token market cap, volume and exchange, app metrics, person title, company type and vertical are all filters. Conference attendance layers on top of any of them.

See all Web3 filters with explanations →

Examples of Web3 Filters

100+ AVAILABLE

Company Vertical

DeFi · RWA · Privacy · AI · GameFi

Company Type

Protocol · VC · B2B · Hedge Fund · DAO

Person Title

Founder · CMO · VP · DevRel · Partner

Funding Info

Stage · Date · Check · Type

Token Metrics

mCap · Vol · Venue · Liquidity

App Metrics

TVL · Users · Revenue

See all Web3 filters →

Example: start with the full database, keep founders, CMOs and heads of partnerships, narrow to DeFi and RWA projects, add one event's attendees. You get a few hundred people ready for a campaign.

WHERE THE TELEGRAM CONTACTS COME FROM

Where do the Telegram contacts of Web3 decision-makers come from?

Spredo runs a proprietary AI-driven engine that discovers, verifies and updates Web3 decision-maker contacts continuously. It tracks 300+ Web3 data sources, 300+ niche private Telegram communities and the attendee groups of major conferences and Luma side events.

The inputs are professional sources: company pages, directories, professional social profiles, event and conference materials and third-party business information providers. Spredo states that it does not use customers' private uploads or conversations to grow the database.

Need a niche we do not cover yet? Point Spredo to Telegram groups, event channels or any other source, and contact profiles with role, company and vertical arrive within days.

HOW IT WORKS

How it works: from a filter to a booked call

Define the audience

Use filters in the Spredo web interface, or ask Claude or ChatGPT to do it through Spredo MCP.

Choose the sending side

Aged, warmed-up Telegram accounts customized for your brand, or your team's own accounts. Each is set up like a real team member: Premium status, profile photo, natural behavior.

Launch the sequence

A cold sequence with multi-step warm follow-ups. Follow-ups stop the moment a lead replies.

Work the replies

Every conversation syncs in real time into one unified inbox: media, group chats, unreplied messages across campaigns, team access and blocklists.

Hand it off or automate it

An account manager can run the campaigns and turn dialogues into calls (31.3% average reply rate against 19.5% without one), or you run it all from Claude or ChatGPT through Spredo MCP.

RESULTS

What Web3 teams got out of it

Peanut Trade, a Web3 market maker, cut its reply rate from under 5% to 23.4% across three campaigns and lifted qualified calls from 10 to 25 a week.

EAK Digital, the team behind Istanbul Blockchain Week, reached a 35% reply rate in month one and closed 8 sponsorship deals, about $200K in revenue.

Hacken turned a few hundred TOKEN2049 side-event leads into two campaigns the same day: 39% and 53% reply rates, and hundreds of conversations within 48 hours.

WEB3 DATABASE · ANSWERS