Compete.News
Automated competitive intelligence that comes to you.
The Problem
Staying on top of your competitors shouldn't be a full-time job, but for a lot of businesses it feels like one. Product launches, funding rounds, partnerships, hiring moves — the signals are out there, scattered across Google News, Bing, Hacker News, and industry publications.
Most companies either assign someone to manually Google their competitors every morning (tedious, inconsistent, and the first thing dropped when real work piles up) or they pay for enterprise competitive intelligence tools that cost thousands per year and deliver more noise than signal.
The Solution
Compete.News monitors multiple news sources daily for mentions of up to six competitors you specify. An AI layer filters the noise, identifies significant business events — product launches, funding, partnerships, leadership changes — and compiles them into formatted briefings delivered through a clean dashboard.
Setup takes about two minutes: name your competitors, and the system starts monitoring. Historical briefings are archived so you can look back at competitor activity over time.
How We Thought About It
The competitive intelligence space is full of tools that dump every mention of a company into your inbox and call it "monitoring." That's not intelligence — it's a firehose. The hard part isn't finding mentions. The hard part is knowing which mentions matter.
This is one of the cases where AI genuinely earns its place in the stack. Summarization and relevance filtering are exactly the kind of fuzzy judgment tasks that language models handle well. A press release about a product launch matters. A comment section mentioning a company name in passing doesn't.
But we didn't hand the whole pipeline to AI. The source monitoring, deduplication, and scheduling are all deterministic systems. AI handles the last mile — reading the content and deciding what's worth reporting. That way, if the AI layer degrades or needs updating, the data pipeline keeps running. Separation of concerns isn't just for code architecture — it's for reliability.
The Result
- Daily automated monitoring across Google News, Bing, and Hacker News
- AI-powered filtering that surfaces real business events, not noise
- Historical briefing archive for tracking competitor patterns over time
- Two-minute setup, no configuration required