Domain

RivalForge AI

RivalForge automates competitive intelligence in four stages: 1. **Discover** — finds competitor URLs via Perplexity Sonar Pro or Exa AI 2. **Extract** — crawls competitor sites with Firecrawl for pricing, features, tech stack, and feedback 3. **Compare** — builds a side-by-side comparison table across all rivals 4. **Analyze** — generates a strategic report with market gaps, weaknesses, and differentiation opportunities

Python Streamlit

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RivalForge AI

Competitor intelligence agent team by Sharad Khare.

RivalForge AI is a multi-agent competitor analysis platform that discovers rival companies, extracts structured website data with Firecrawl, and generates comparison tables plus strategic opportunity reports.

Built and maintained by Sharad Khare — AI strategist, full-stack developer, and creator of practical agent workflows.

What this project does

RivalForge automates competitive intelligence in four stages:

1. Discover — finds competitor URLs via Perplexity Sonar Pro or Exa AI

2. Extract — crawls competitor sites with Firecrawl for pricing, features, tech stack, and feedback

3. Compare — builds a side-by-side comparison table across all rivals

4. Analyze — generates a strategic report with market gaps, weaknesses, and differentiation opportunities

Why Sharad Khare built RivalForge AI

Competitive research is slow and fragmented — finding rivals, scraping sites, and synthesizing insights takes hours. RivalForge demonstrates how a coordinated agent team can compress that workflow into a single Streamlit experience.

How it works

Company URL or Description
   │
   ▼
Competitor Discovery (Perplexity or Exa)
   └── 3 competitor URLs
   │
   ▼
Firecrawl Extraction (per competitor)
   ├── Pricing & plans
   ├── Key features
   ├── Tech stack
   ├── Marketing focus
   └── Customer feedback
   │
   ▼
Comparison Table (pandas)
   │
   ▼
Strategic Analysis Agent (OpenAI)
   └── Market gaps, positioning, and growth opportunities

Agent roles

| Stage | Tool/Model | Output |

|-------|-----------|--------|

| Discovery | Perplexity Sonar Pro or Exa AI | Competitor URLs |

| Extraction | Firecrawl + structured schema | JSON per competitor |

| Comparison | pandas DataFrame | Side-by-side table |

| Analysis | OpenAI GPT-4o | Strategic opportunity report |

Features

Dual search endpoints: Perplexity Sonar Pro or Exa AI
Firecrawl-powered website extraction with Pydantic schemas
Structured competitor data: pricing, features, tech stack, marketing, feedback
Interactive comparison table in Streamlit
AI-generated strategic analysis with actionable recommendations
Works with company URL, description, or both

Quick start

cd rivalforge-ai
pip install -r requirements.txt
streamlit run app.py

Required API keys

OpenAI API key — analysis and Exa-based discovery
Firecrawl API key — competitor website extraction
Perplexity API key — if using Perplexity Sonar Pro search
Exa API key — if using Exa AI search

Example inputs

URL: https://yourcompany.com + Description: B2B project management SaaS
Description only: AI-powered customer support chatbot for e-commerce
URL only: https://notion.so

Project structure

rivalforge-ai/
├── app.py
├── rivalforge/
│   ├── config.py
│   ├── schemas.py
│   ├── agents.py
│   ├── discovery.py
│   ├── extraction.py
│   └── reports.py
├── requirements.txt
├── pyproject.toml
└── README.md

Topics

Sharad KhareRivalForge AIcompetitor intelligence agentcompetitive analysis AIFirecrawl extractionPerplexity competitor searchExa AI discoverymarket gap analysismulti-agent competitor researchStreamlit competitive intelligencestrategic positioning AI.

Who this is for

Startup founders doing competitive landscape research
Product managers benchmarking rival features and pricing
Marketing teams analyzing competitor positioning
Developers learning multi-agent + web extraction patterns

Use cases

Discover top 3 competitors from a company URL or description
Extract structured pricing and feature data from rival websites
Build comparison tables for stakeholder presentations
Generate strategic reports highlighting differentiation opportunities

Author

Website: sharadkhare.in

License

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bash

cd rivalforge-ai
pip install -r requirements.txt
streamlit run app.py