Field notes on
buyer intent.

The best-known Reddit research tool closed to comply with Reddit's API rules. What that leaves you, and the question to ask every tool still standing.

Most Discord lead-gen advice quietly breaks Discord's own Developer Policy. What rules 5, 6, 7 and 20 actually say, and the motion that survives them.

Fifteen tools for getting content seen across social platforms — schedulers, repurposing, listening, newsletter. What each is good at. Not a ranking.

Fifteen lead generation tools across prospecting, outbound, intent, and inbound — what each is good at, what it's bad at, who it fits. Not a ranking.

Christmas shoppers ask ChatGPT for gift ideas. If OAI-SearchBot can't crawl your products, you're invisible. The 2026 listing playbook.

Most cold email A/B test lifts are sample-size theater. The timing variable swamps copy variance. Here's what's actually testable in 2026.

Find paying clients on Reddit by being early, useful, and specific — not by spamming DMs. The honest 2026 playbook for freelancers and agencies.

The math of why 1,000-DM campaigns produce nothing in 2026, the platform mechanics that broke them, and what 'volume done right' looks like — 30 contextual DMs vs 1,000 templated.

First-person take on LinkedIn outreach in 2026: what mass-connect-and-pitch automation killed, what's safe and scaling, and the intent-driven motion that survived.

Paid ads in the lead-gen toolkit: when ads work cleanly, when they quietly fail, the CAC math vs intent-based outbound, and why blended programs win in 2026.

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

Cold email didn't die in 2019. It died in February 2024 when Google and Yahoo rewrote sender rules. Here's what survived, the reply-rate math you can plan against, and where the trigger has to come from.

LinkedIn buying intent is real, sparse, and hidden behind API limits. Here's the exact signals we watch, the signals we ignore, and the pipeline that makes the channel work.

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: reply ceilings on templated blast collapsed past 0.5%. The math, the inbox-filter cause, and what intent-based replaces it with.

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.