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Business Intelligence · Live

AI Company Research Assistant

AI-powered deep research on companies using web search, site crawling, PDF generation, and Discord integration.

An AI-powered Company Research Assistant that combines web search, website crawling, AI synthesis, PDF report generation, and Discord integration to deliver deep company intelligence from a single query.

GitHub Repository ↗Live Demo ↗

Problem Statement

Manual company research is slow, fragmented across sources, and difficult to share. Teams need structured, AI-synthesized research reports fast.

System Solution

A single-query research pipeline that searches the web, crawls relevant pages, synthesizes findings with an LLM, generates a structured PDF, and delivers it to Discord.


Architecture & Data Flow

01.

Next.js web interface with query input and real-time research progress.

02.

Web search via Serper.dev API with intelligent source selection.

03.

Website crawling and content extraction for deep-dive research.

04.

LLM synthesis (OpenRouter) to structure findings into actionable intelligence.

05.

Automated PDF generation and Discord webhook delivery.


Key Technical Features

  • 01.Single-query company research with multi-source web aggregation.
  • 02.AI-synthesized structured reports with key findings.
  • 03.Automated PDF generation for offline sharing.
  • 04.Discord integration for team-wide report delivery.

Engineering Challenges

  • 01.Handling diverse website structures during crawling without breaking the pipeline.
  • 02.Keeping synthesis quality consistent across wildly different source content.
  • 03.Generating professional PDF formatting from dynamic AI output.

Complete Technology Stack

TypeScriptNext.jsOpenRouterSerper.devDiscord Webhooks

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Ubaith Sherif

AI Engineer · Full-Stack Developer

Building AI-native systems, retrieval pipelines, and production software.

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Coimbatore, India