Hey everyone ๐
I have got an idea midnight.
Hereโs a quick breakdown of the idea or the system I am working on right now:
The system checks 10 data sources(have plan to add more sources if I get some solid output) every 24 hours using specific keywords:
- Reddit, Facebook, Twitter (X)
- Google Web search with advanced queries
- Niche specific forums
Then I use an LLM (like DeepSeek R1 - free) to verify:
- Is the person actually looking for help or need the product/services?
- Is it a real need, not someone giving advice or promoting themselves?
This helps me filter out low-quality stuff and only focus on real or high intent leads.
After that, the system extract anything useful:
- Username, company name, or website (if mentioned)
- Then send that to Clay (or a similar tool) for enrichment to get emails, phone numbers, or business info.
If everything checks out, I send the lead to Airtable or Google Sheets โ ready to be contacted.
Right now Iโm starting with 10 sources, but I plan to scale to more platforms once I have a solid base working. I'll use n8n for now to build the workflow, but move to custom code if it works well in the future.
Want some answers to my questions:
Would love to hear from someone here who built something similar or worked on a lead gen system before?
Am I missing anything obvious that could make this better?
Does this seem like a well-thought-out system? Or am I missing something major (or maybe even overcomplicating it)?
What would you add if you were building something like this?
Is this system architecture scalable?
P.S. The goal is to generate 5โ6 high-intent leads per day (could be more as the system improves) by monitoring multiple specific data sources and filtering out noise automatically.