Tracking Market Signals: A Practical Guide to What Actually Moves Your Category

Most published market intelligence is news, repackaged for SEO. The article you read about "10 trends in AI for 2026" is downstream of someone else's analysis, two layers removed from the underlying signal. By the time you read it, the operators who track the source already moved.

Real market signal lives in five places, all of which are public and free:

1. Federal Register (US regulatory rule-making)
2. SEC EDGAR (public company 8-K filings — material events)
3. arXiv (research papers preceding productized AI/CS work by 6-18 months)
4. HackerNews front page (high-engagement tech market signals)
5. GitHub trending (open-source momentum)

Not one of those is a blog. Not one is a Reddit thread. The signal is harder to access (no editorial layer pre-digesting it) but vastly higher fidelity.

The Federal Register is the daily journal of US government rule-making. Every new agency rule, every proposed regulation, every public-comment notice is in here.

For B2B operators, the Federal Register matters because regulatory changes precede market changes by 3-18 months. The FTC posts a rule today; the affected SaaS market re-prices in 6 months.

What to filter for:

• Your category keywords: "artificial intelligence," "data privacy," "consumer protection," etc.
• Last 30 days only — older items have already been absorbed
• Agencies that affect your space (FTC, SEC, FCC, CFPB, FDA depending on category)

The Federal Register API is free and well-documented. A weekly check covering 3-5 relevant topics catches most of what matters.

An 8-K is filed when a public company has a "material event" — typically a CEO change, acquisition, restructuring, material agreement, or unexpected loss. The exact category is encoded in the filing.

For operators tracking public-company competitors, 8-Ks are gold. They reveal moves that won't hit press for days or weeks. A CEO transition 8-K filed Friday at 4pm is the leadership change the press will cover Monday.

The SEC EDGAR full-text search is free. Filter by ticker, by SIC code (your industry), or by filing type. A weekly review of your industry's 8-K stream is usually 15-30 filings — most ignorable, 1-3 worth reading.

arXiv is the preprint server for computer science, math, physics, and economics. AI/CS papers there typically precede productized versions by 6-18 months. Tracking the categories relevant to your market gives you a leading view on what next year's products will look like.

Key CS categories:

• cs.AI — general AI research
• cs.LG — machine learning
• cs.CL — computational linguistics / LLMs
• cs.CV — computer vision
• cs.IR — information retrieval

You won't read every paper. The signal is in patterns — a sudden cluster of papers on a specific technique tells you what to expect in the next product cycle.

Hacker News front page (the top ~30 stories at any time) is one of the highest-engagement tech audiences on the internet. A story that hits 200+ points is being seen and discussed by tens of thousands of technical operators.

For B2B SaaS or developer-tool markets, HackerNews is a strong tech-market sentiment signal. New product launches, technical breakthroughs, and category-defining essays all surface here.

Filter for stories with 100+ points. The API is free, returns JSON, and rate-limit-friendly.

Open-source repositories gaining stars rapidly reveal where developer attention is moving. For developer tool and infrastructure markets, this is a leading indicator: a repo accumulating 5,000 stars in a week is a product category gaining real traction.

GitHub's search API can return repos created in the last week, sorted by stars. The signal-to-noise is high if you filter by language and minimum star count.

One signal is curious. Three signals pointing the same direction is a category shift. The discipline is connecting:

• An arXiv paper cluster on a technique
• A GitHub repo gaining stars on the same technique
• A Federal Register entry related to the use case
• A HackerNews discussion that frames it

Four signals on the same theme = the next 6 months of your market is going to be about this. The operators who catch the four-signal pattern early have a 6-12 month head start.

Morthn Intel weaves all of these into the weekly brief alongside competitor tracking — so the operator doesn't have to do the four-source synthesis manually.