PQ Intel monitors 13+ platforms daily and surfaces only the posts, discussions, and comments that match your ICP. Stop checking each platform manually — your signal feed brings everything to one place, scored and prioritised.
80|Every day, per-platform scanners pull fresh posts from 10+ sources — LinkedIn, X, Reddit, HN, Medium, Dev.to, and Product Hunt. The platform_signal_bridge.py pipeline scores each post against your ICP configuration and writes matched signals straight into your feed. The pipeline runs in four stages:
Step 1 — Scan: Each platform scanner fires via the daily cron, fetching the latest posts from curated feeds, subreddits, hashtags, and monitored accounts. Scanners apply platform-specific rate limits and pagination to capture the full surface area of each source.
Step 2 — Filter: Raw posts stream through a pre-filter that discards duplicates, spam, and content from non-target geos. Every remaining post is passed to the scoring pipeline.
Step 3 — Score: The composite_scorer.py algorithm evaluates each post against your ICP configuration — industry keywords, job titles, tech stack mentions, and geography. Posts that score above your threshold are promoted to the feed.
Step 4 — Surface: Matched signals land in your feed with a Hot / Warm / Cold score, platform badge, and direct link to the original post. Enrichment data for the author and company is queued in the background.
You see only what matters — a Reddit thread from a decision-maker in your target industry, a LinkedIn post from a Head of Sales at a company you've been researching, a Product Hunt launch from a competitor's customer. No more scrolling through noise.
Monitoring runs on a daily cron schedule, not live streaming. Each morning, your feed is updated with the previous day's matches — giving you a focused list of prospects to review before anyone else reaches them. The schedule is configurable per tenant, so teams in different time zones receive their digest at their local start of day.
Signals are logged in full history so you can track trending topics, recurring prospect mentions, and platform-level activity over time. The signal history view supports date range queries, platform filters, and export to CSV for offline analysis.
A Series B SaaS competitor closes a $15M round. Within 24 hours, their customers start posting about product changes on LinkedIn and Reddit. Your signal feed surfaces these posts, scored as Hot because they reference your target keywords and competitor name. Your SDRs engage the disaffected customers before the competitor's press release goes live and before the competitor's own CS team knows who is unhappy.
A mid-market company you've been prospecting posts three new job listings for senior engineering roles on LinkedIn in a single week. Your feed flags this as a Warm signal cluster. Your enrichment pipeline pulls the company's tech stack and org chart. You reach out to the VP of Engineering with a contextual message about scaling their team — before any other vendor knows they are hiring.
A startup in an adjacent category launches on Product Hunt and gets 800+ upvotes. The comments thread is full of people from your target industries describing their pain points with the incumbent solution. PQ Intel monitors the launch thread, scores the commenters against your ICP, and populates your feed with warm prospects — all with original links so your outreach references exactly what they said.
Your feed is pre-scored against ICP. Start with Hot signals — posts from companies that match your target profile — and engage while the conversation is active.
129|See which topics, platforms, and companies are generating signal volume. Allocate team focus where the market is moving, not where it was last quarter.
134|Track competitor mentions, industry shifts, and emerging players across every channel — without spending hours scrolling feeds. The platform surfaces what your ICP is saying about your market.
See exactly which topics your ICP is discussing across platforms. Use signal themes to shape blog posts, social content, and lead magnets that address actual buyer conversations — not assumed pain points.
Track how your ICP talks about features, competitors, and pain points on platforms like Reddit, HN, and Dev.to. Surface feature requests and sentiment shifts before they show up in support tickets or churn surveys.
Most platforms start with enrichment — find a company, enrich the contact, then look for intent. PQ Intel reverses the order: find intent first, then enrich.
150|| Capability | PQ Intel | Clay |
|---|---|---|
| Multi-platform signal monitoring | 13+ platforms | Limited |
| ICP-matched signal feed | Yes | No |
| Daily cron-based signal bridge | Yes | No |
| Enrichment-first data model | Signal-first | Enrichment-first |
| Hot/Warm/Cold scoring | Yes | No |
A signal isn't useful until it triggers an action. PQ Intel routes matched signals into enrichment, scoring, pipeline, and outreach — all automatically.
Every matched signal triggers a waterfall enrichment lookup for the author's company and email. When a Hot signal lands, the contact data is ready in your pipeline within minutes — not hours.
Signals can auto-create leads in your pipeline. Configure rules so that Hot signals from a target account automatically generate a lead card in the Discovery stage, ready for SDR assignment.
Push signal-originated leads directly into multi-channel campaigns. The signal context — what they said, where, and when — is carried into the outreach template as personalisation variables.
Every new signal fires a webhook payload to your custom endpoint. Use the REST API to query, filter, and export your signal feed into any external system — CRM, Slack, custom dashboard.
See all integrations on the integrations page.
Signal monitoring feeds into the rest of your pipeline. See how it connects:
Every signal gets a 0-100 score — Hot, Warm, or Cold — so you know where to focus.
Define your target per tenant — industry, keywords, tech stack, geography — and score automatically.
Turn signal authors into enriched contacts with multi-stage email and company lookup.
Move signal-matched leads through a visual pipeline from discovery to closed won.
Engage signal-originated leads with sequenced email and LinkedIn outreach.
Find and enrich decision-makers at signal-matched companies directly from LinkedIn.
PQ Intel monitors 10+ platforms daily: LinkedIn, X/Twitter, Reddit, Hacker News, Medium, Dev.to, Product Hunt, and Substack.
Signal monitoring runs on a daily cron schedule. Each morning, your feed is updated with the previous day matches.
Yes. The signal feed supports filtering by platform, score tier (Hot/Warm/Cold), date range, and signal type.
Google Alerts gives raw keyword matches. PQ Intel scores every signal against your exact ICP and enriches matched leads automatically.
The platform scanner list is fixed to the 10+ sources we support. If you need a platform not listed, contact us — we evaluate additions based on demand. Custom RSS feeds and webhook-based signal ingestion are available via our API for enterprise plans.
Yes. Adding your company name or branded keywords to your ICP configuration triggers signal matches when those terms appear across monitored platforms. This works for tracking brand sentiment, competitor mentions, and partner visibility.
All signals are retained in your history log. Old signals remain searchable, filterable, and exportable. The scoring engine applies time-decay automatically — older signals contribute less to a company's composite score — but they are never deleted from the record unless you choose to archive them.