AI-powered lead generation with Apollo, GPT-4, and Telegram to database
Convert simple voice or text commands into targeted lead lists by leveraging AI to parse search parameters and scrape Apollo.io for verified contacts. This automated system handles everything from natural language processing to database synchronization, ensuring your sales pipeline is always populated with high-quality prospects. It is the perfect mobile-friendly assistant for sales teams who need to generate leads on the fly.
Start BuildingWhat This Recipe Does
This automated solution bridges the gap between real-time communication and robust database management for sales teams. By integrating Telegram with high-performance databases like Supabase and Postgres, this workflow ensures that every lead, customer inquiry, and sales interaction is captured, processed, and stored instantly. The automation handles complex logic to filter incoming messages, compare datasets for duplicates, and route information to the correct repository based on specific business rules. Instead of manually logging chat history or lead details, your team can focus on closing deals while the system maintains a clean, synchronized record of all prospects. This reduces administrative overhead, prevents data silos, and ensures that your sales pipeline remains accurate and up-to-date without any manual data entry.
What You'll Get
Forms, dashboards, and UI components ready to use
Background automations that run on your schedule
REST APIs for external integrations
Telegram, Neon Postgres, Supabase configured and ready
How It Works
- 1
Click "Start Building" and connect your accounts
Runwork will guide you through connecting Telegram and Neon Postgres
- 2
Describe any customizations you need
The AI will adapt the recipe to your specific requirements
- 3
Preview, test, and deploy
Your app is ready to use in minutes, not weeks
Who Uses This
- Sales managers who need to automatically sync lead inquiries from Telegram directly into their central CRM or database.
- Customer success teams who want to log support requests from chat groups into a Postgres database for performance tracking and analysis.
- Business development representatives who use Telegram for outreach and need to verify if a contact already exists in their Supabase records before initiating a conversation.
Frequently Asked Questions
Do I need to manually export my Telegram chat history?
No. This automation monitors your Telegram interactions in real-time and automatically pushes the relevant data to your database as it happens.
Can I choose which specific messages get saved to my database?
Yes. The workflow includes filtering and logic steps that allow you to define exactly which keywords or message types should trigger a data save.
Does this work with both Postgres and Supabase?
Yes. The automation is designed to interact with both platforms, allowing you to maintain legacy systems while leveraging modern cloud database features.
How does the system handle duplicate entries?
The workflow includes a data comparison step that checks your existing database records before creating a new entry, ensuring your sales data remains clean and unique.
Importing from n8n?
This recipe uses nodes like Code, Set, Filter, Limit and 13 more. With Runwork, you don't need to learn n8n's workflow syntax—just describe what you want in plain English.
Based on n8n community workflow. View original
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