@devadath_v_l84

SalesPilot AI: Autonomous B2B Sales Research The Problem B2B Account Executives and SDRs spend up to 30 percent of their day manually researching prospects across LinkedIn, company websites, and news just to see if an account is worth pursuing. This manual process is slow, error-prone, and doesn't scale. The Solution SalesPilot AI automates the pre-sales research workflow. Built with a sophisticated multi-agent architecture, it operates like a team of researchers. When a user inputs a target company, AI agents dynamically scrape the web, extract data, and synthesize unstructured information into a cohesive intelligence report. Key Features: Deep Company Profiling: Extracts leadership details, business models, and industry positioning automatically. Buying Intent Scoring: Analyzes hiring velocity, recent funding rounds, and pain points to calculate a Buying Intent Score, helping reps prioritize accounts actively looking for solutions. Tech Stack & Competitor Intel: Identifies the software a company uses and pinpoints competitor displacement opportunities. Company Comparisons: Run head-to-head comparisons between two companies to identify the better prospect based on specific dimensional breakdowns. Automated Outreach Generation: Drafts hyper-personalized outreach emails tailored specifically to the company's pain points and recent news. CRM Integration: Syncs the enriched data directly to HubSpot with a single click. How it was built The backend is a high-performance Python application powered by FastAPI, LangGraph, and a massive LLM waterfall system routing between NVIDIA NIM, Google Gemini, Groq, Cerebras, and OpenRouter. The intelligence agents utilize Bright Data's Web Unlocker and SERP APIs to bypass anti-bot protections and gather real-time data. The frontend is a beautifully designed Next.js application, featuring real-time Server-Sent Events that stream the agents' live progress to the user so they can watch the AI research in real time.

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