The 14-Platform Signal Intelligence Playbook: How We Find Warm B2B Leads Before Your Competitors Do
We've detected over 8,300 buying signals across 14 platforms. Here's exactly what we track, how we score it, and why it beats cold lists every time.
The Problem With Cold Outbound
Most B2B sales teams are running the same broken playbook: buy a list, enrich, blast 500 cold emails, get 2% reply rate, wonder why pipeline is unpredictable. The problem isn't your messaging. It's timing. You're reaching out to people who aren't thinking about buying. The best time to reach out is when interest already exists — and you're missing it because you can't manually monitor where those signals appear.
The 14 Platforms We Monitor
Your buyers don't live on one platform. They discuss problems on Reddit, announce funding on LinkedIn, complain about competitors on X, ask for recommendations on Hacker News, and hire new teams on job boards.
Hiring posts, job changes, funding announcements, competitor engagement — when a company hires a Head of Growth or VP Sales, they're building pipeline capability.
Tool recommendation requests, competitor complaints, pain-point discussions — Reddit is where buyers ask honest questions before talking to vendors.
X / Twitter
Industry discourse, tool comparisons, growth experiments, public complaints — B2B founders share unfiltered opinions here.
Hacker News
Ask HN threads, Show HN launches, tech stack discussions — where technical founders evaluate tools.
Medium & Dev.to
Thought leadership content, case studies, framework posts — people documenting their stack in public.
Product Hunt, GitHub, Substack
Product launches reveal evaluation windows. GitHub integrations show tech decisions. Newsletters reveal stack and priorities.
Russian Market: Telegram, TenChat, Habr, VC.ru, VK, Dzen
TenChat profiles with leadSending enabled are decision-makers explicitly open to contact. Telegram is where Russian B2B discussions happen. Habr reveals companies actively investing in tools.
The 12 Signal Types We Score
| Signal | Weight | Action |
|---|---|---|
| Hiring Signal | 85 | Reach out this week |
| Competitor Complaint | 95 | Reach out TODAY |
| Tool Migration | 95 | Reach out TODAY |
| Funding Announcement | 80 | Reach out this week |
| Churn / Pain Signal | 90 | Reach out within 48 hours |
| Lead Gen Need | 75 | Qualify first |
| Pipeline Discussion | 85 | Reach out this week |
| Outbound Pain | 90 | Reach out within 48 hours |
| Demand Gen Discussion | 85 | Reach out this week |
| SDR Hiring | 80 | Monitor |
| Tech Stack Discussion | 70 | Nurture |
| Content / GEO Gap | 75 | Qualify |
How PQ Intel Scores Signals
Every signal gets a composite 0-100 score based on signal type weight, ICP match, platform authority, recency, and signal density. Result: Hot (70+), Warm (40-69), Cold (under 40).
What This Looks Like in Practice
Last week: VP Sales posted about scaling outbound (Monday), commented on competitor's post (Wednesday), company announced $12M Series A (Friday). Three signals in one week = Hot lead. The outreach message writes itself.
Why This Beats Cold Lists
Cold lists give you static data. Signal intelligence gives you live timing, real context, and higher reply rates — because you're reaching out when prospects are already interested.
Get the full playbook at productquant.dev — 3-day trial for $5.