Signal.

The signal economy: why intent-based outbound beats volume in 2026, the new operator stack, and where real-time intent graphs go from here.

Ninety days of Shadow Inbox data: signal volume per platform, niche intent density, conversion funnel from signal to call, and the surprises we didn't expect.

HackerNews monitoring with the Algolia API, a cron, and an optional LLM filter. The full setup costs nothing and replaces the $5K SDR tool you almost bought.

Ten extractable signals separate a buyer post from a vent post on Reddit. Here's how we score each one, the thresholds, and the false-positive traps.

Outbound timing playbook: signal half-life on Reddit, HN, and LinkedIn, what makes a buying signal hot vs cold, and the daily ritual to catch the hot window.

HN's Who's Hiring thread is a buying-signal goldmine. Full workflow: scrape, parse stack, identify fit, send a 3-line cold email referencing the JD.

Classifying buying intent with LLMs is mostly about evidence quotation, temperature pinning, and not asking the model dumb questions. Here's what worked for us.

Contextual cold message playbook: how to reference a specific Reddit post in outbound without being creepy, with two annotated samples and a four-part anatomy.

HackerNews comments hold richer buying intent than the front page. The 4 comment patterns that signal active evaluation, and how to engage without getting flamed.

Subreddit mapping for 12 niches: the exact subs and keyword patterns where real buyers ask for SaaS, dev tools, agency services, and more.

HackerNews intent playbook for outbound: how to read Show HN, Ask HN, Who's Hiring, and the comment threads where buyers actually reveal what they need.