Automation and scraping · Independent · 20 Oct 2026

Laksh-star/competitive-intelligence

AI-powered competitive intelligence monitor using CocoIndex, Tavily Search, and LLM extraction

← Automation and scraping

In simple English

This tool watches your competitors on the web and tells you what they do. It searches news, reads articles, and pulls out important events like product launches and funding rounds. You can run it locally with sample data or connect it to live search tools. It saves everything into a database and makes neat dashboards for you to read.

What it is

A Python-based competitive intelligence pipeline that uses AI search (Tavily), language models (OpenRouter), and a data indexing framework (CocoIndex) to track companies. It extracts structured events from news articles and exposes them through command-line tools and a Model Context Protocol server.

What it is good for

Solo founders and small teams who want automated competitor research without paying for expensive enterprise intelligence platforms.

Stars23
LicenceMIT
LatestNo tagged releasechecked 20 Oct 2026
Last code change2026-06-22
Written inPython
Setup effort
3 / 5
Payoff
4 / 5
Good
  • Runs on sample data right away without requiring any API keys or paid accounts.
  • Exports findings into clean Markdown briefs, CSV files, and searchable HTML dashboards.
  • Includes server tools so AI assistants can query your competitor database directly.
Watch for
  • Live mode requires external API keys for web search and language models, which cost money over time.
  • Setting up PostgreSQL and configuring environment variables takes some technical patience.
  • Relies on third-party AI models for extraction, so results can occasionally include minor hallucinations.
Replaces

manually checking competitor blogs and news sites every morning

Works well with

PostgreSQL

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Install
git clone https://github.com/Laksh-star/competitive-intelligence.git
cd competitive-intelligence
python3 -m venv venv
source venv/bin/activate
pip install -e .

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › Market & Competitive Research › Competitor Tracking.

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