Sales teams spend 70% of their time finding leads instead of closing them.
The autonomous lead discovery engine — how it identifies qualified prospects using company signals, LinkedIn data, and behavioral patterns.
The outreach agent — how it personalizes messages at scale without them reading like templates.
The self-improvement loop — how response rates feed back into the model to improve targeting and messaging over time.
Open-source approach — why the core is open and what that means for customization.
Autonomous Discovery
Surgical data extraction matching hyper-specific ICPs.
Personalized Outreach
Contextual token generation bypassing the 'AI-generated' smell.
Self-Improving Loop
Response deltas mutate the original prompt logic over time.
Open-Source Core
Forkable, deployable infrastructure under permissive licensing.
Puppeteer arrays bypassing standard rate limits.
Natural Language Generation tuned against "salesy" templates.
Genetic drift implemented for prompt refinement based on reply rates.
Repository stripped, documented, and released.
70% of time wasted finding leads.
Zyra reduces that to zero.