Open-Source Led Growth is the future, much like where Product Led Growth was a decade ago.
Developers constantly engage with open-source projects, seeking solutions to their challenges. Yet, most of these interactions go unnoticed, leading to missed opportunities. Our AI Agent solves this problem for you.
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How it works
4 easy steps to get realtime high-intent leads and technical + personalized outreach campaigns at scale.
1) Select Repos
Select any GitHub repository -- yours, competitor's, or complimentary projects where your ICP tends to engage with.
4) Technical Outreach
Once we find your perfect match, our AI provides a summary of the issue and interests of each lead, with the perfect outreach message that includes a relevant case study.
Our AI Agent matches a developer’s interests and needs on Open-Source networks like GitHub with your features and value props. Our customers leverage these technical signals for product strategy insights, customer support, and sales.
Connect with high-intent leads in your target market with perfectly crafted technical outreach campaigns based on actual prospect technical needs.
Uncover the Person and Account Behind the GitHub Signal.
We Slack You Open Source Qualified Leads (OQLs)
Hear it from our customers
We saw a 68% increase in pipeline generated from other AI repos that are complementary to what we're building.
COO at Answer AI
Adam Harris
We got 24 SQL meetings in just our first 3 months from HaystacksAI, most of them not from our own repo.
Sales AE at Browserless
Abhijeet Iyengar
Key way for me to onboard and ramp pipeline just in the first few weeks of starting at Flagmsith.
Account Executive at Flagsmith
Cristian Igualt
About Us
San Francisco based team on a mission to change the antiquated software buying and selling experience, where traditional outbound tools/tactics fail, especially for dev audiences. What sets us apart is our deep understanding of how to bridge the gap between technical signals and business value.
But this is just our first AI Agent. We’re pioneering technology that combines behavioral analytics and AI to precisely align developer issues/intent with technical solutions, while distilling them into playbooks humans can easily understand—by providing clear guidance on how the solution solves issues without requiring technical expertise or risking dev community etiquette violations. Our end goal is to generalize these ML engines and AI Agents for other department use cases and B2B verticals, including AI Agents that provide product strategy insights, debugging and customer support right on Open Source projects.
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Celebrate the joy of finding needles in a haystack.