🚀 Built an Open-Source AI Outreach Engine to Find Customers, Jobs & Investors ⭐
I got tired of spending more time finding the right people than actually talking to them.
While building Observer, my workflow looked something like this:
LinkedIn → Apollo → AI writing → spreadsheets → repeat.
All that just to answer one question:
Who should I talk to next?
Customers.
Investors.
Hiring.
Job opportunities.
Partnerships.
The workflow never really changes.
So I built an open-source AI Outreach Engine to automate it.
It can:
- Discover companies that match your criteria.
- Find the right people inside those companies.
- Verify and enrich contact information.
- Research prospects automatically.
- Generate personalized outreach.
The goal wasn't to build "another AI SDR."
It was to create a transparent, hackable workflow that founders and engineers can self-host, customize, and extend instead of paying for an expensive stack of tools.
If you're building something and founder-led outreach is becoming a bottleneck, I'd love your feedback.
The repo is open source, so feel free to roast it, contribute to it, or just steal ideas from it.
GitHub: https://github.com/rohitmalhotra1420/ai-outreach-engine
This hits close to home — I've been building something in the same space (automated prospecting/outreach). The scraping/discovery part turned out to be the easy 20%. The hard part was everything downstream: keeping AI-personalized messages from reading as generic once you send 100+ of them, and not letting outreach slide into spam territory. How are you handling deliverability with AI-generated messages? That was the part that surprised me most.
The “who should I talk to next?” framing is interesting because that’s a different problem from automating the outreach itself.
From people using it so far, is the real value turning out to be better prospect selection, or replacing the LinkedIn/Apollo/AI/spreadsheet workflow around it?