Arthur.

Buyer intent is the new marketing: revealed demand vs manufactured demand, what intent-based marketing looks like operationally, and the org-design implications.

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

An outbound agency booked roughly 40 calls in 60 days from Reddit alone. Full timeline, weekly numbers, the ban scare, and what they kept after.

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.

Honest cost breakdown of building sales intelligence in-house vs buying. Scraping infra, LLM APIs, classifier engineering, enrichment, maintenance — actual numbers.

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.

We built Shadow Inbox with OpenClaw, an AI agent factory. Here's the agent role split, the 1-week MVP, the surprises, and what we'd do differently.

AI reply generators face a dilemma: fast and cheap is templated-with-extra-steps, slow and personalized is barely better. The third mode no one is building.

When the trigger is a social post, the right sequence is original-channel reply first, then email, then LinkedIn. Conversion math at every step.

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.

Reddit reply strategy for founders: why most marketing advice gets you banned, how moderators actually think, and the disclosure pattern that earns upvotes.

Reddit username to verified work email in 90 seconds. The exact enrichment pipeline, the realistic hit rate, and the fallback branch when there's no LinkedIn.

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.

The reply rate math broken down input by input: 500 templated cold emails versus 20 contextual messages. Per-message ROI is 60x. Here's the calculation.

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.

Volume outbound is dead. The reply ceiling on templated cold email is collapsing past 0.5%. Here's the math, the inbox-filter cause, and the intent-based path forward.

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.

Reddit lead generation is the cheapest high-intent channel left for SaaS founders. Here's the exact pipeline, scoring rubric, and 30-min ritual we run.