Tech Stack
Architecture
Scout Agent -> Researcher -> Qualifier -> Outreach -> Closer -> Demo -> Ops. Each agent has its own MCP tools, memory store, and decision boundaries. Inngest handles durable execution so no lead falls through the cracks.Most "AI sales tools" are glorified email senders. QuotaHit is different — it's an autonomous sales department where 7 AI agents handle the entire pipeline from lead discovery to deal closing.
The Problem: Sales teams spend 70% of their time on non-selling activities. Manual prospecting, data entry, follow-up scheduling — all of it eats into actual revenue time.
The Architecture: Each agent operates independently with its own MCP tools, Supabase memory, and decision boundaries. Scout finds leads via web scraping and API enrichment. Researcher deep-dives LinkedIn, company websites, and news. Qualifier scores leads using pgvector similarity against your ideal customer profile. Outreach crafts personalized sequences. Closer handles objection responses. Demo Agent books and preps calls. Ops keeps everything synced to your CRM.
Why Inngest: Durable functions mean if an agent fails mid-pipeline, it retries from exactly where it stopped. No lost leads, no duplicate outreach. This is the difference between a demo and production.
Key Design Decision: Separate probabilistic AI (agent decisions) from deterministic code (CRM updates, email sends). This makes the system reliable enough for real sales teams.
Built with Next.js frontend, Supabase (PostgreSQL + pgvector) for storage, Inngest for orchestration, and MCP for tool access. Every agent follows the Agentic Loop: Sense -> Think -> Decide -> Act -> Learn.
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