No implementation phase. No training required. Follow these 5 steps and start receiving ranked buying signals today.
Creating your account takes less than 60 seconds. You land on a clean signup page, enter your email and a password, and you are in. No demo call, no sales conversation, no onboarding specialist assigned to you. The $5 trial requires a credit card, but this serves a specific purpose: it filters for genuine intent. PQ Intel has real infrastructure costs — monitoring 14+ platforms continuously costs us compute and API credits — so the $5 upfront ensures we both invest in the relationship. What you actually experience: after hitting submit, you land straight into the setup wizard. There is no approval queue, no "we will email you when your account is ready." You configure your ICP in the very next screen. The trial runs for 3 full days and you can cancel from your settings page at any point. If you forget to cancel, the trial converts to a paid plan at $29/mo (Starter), $99/mo (Growth), or $249/mo (Pro) depending on what you select during setup. No surprises, no hidden fees, no annual lock-in.
ICP stands for Ideal Customer Profile, and this is where PQ Intel differentiates itself from generic monitoring tools. Instead of tracking broad keywords, you define the exact type of person or organisation you want to sell to. The setup wizard walks you through four dimensions. Industry: select from a list of 40+ sectors or type your own niche. Roles: pick job titles that your buyers hold — Head of Engineering, VP of Product, CTO, Founder, or any custom role. Keywords: enter the phrases and topics your prospects talk about when they are looking for solutions like yours. Geography: narrow results to specific countries, cities, or radius zones. As you fill in each field, the system builds a scoring model in real time. You see a live preview of how many signals per week your ICP configuration would surface. You can tune aggressively (narrow, high-precision) or broadly (cast a wide net). The model learns from your adjustments — add a keyword and the score threshold changes instantly. When you are satisfied, you hit save and the system starts scanning immediately. Most users spend 3-5 minutes here and never touch it again unless their market shifts.
PQ Intel monitors 14+ platforms out of the box. You do not need API keys, OAuth tokens, or webhook configurations. The system already has integrations live for LinkedIn (public posts and conversations), Reddit (subreddit discussions), Hacker News (tech and startup threads), Telegram (public groups), X/Twitter (posts and replies), Medium (articles and comments), Dev.to (developer discussions), Product Hunt (launches and comments), Stack Overflow (Q&A threads), GitHub (issues and discussions), and more. On the Starter plan you get 8 monitored platforms. Growth unlocks 12, and Pro monitors all 14+ including beta sources. What this means for your daily workflow: when a prospect posts "Looking for a solution to [your problem]" on Reddit at 2 AM, PQ Intel picks it up before you wake up. When a CTO asks for recommendations on Hacker News, it is in your feed within minutes. You see the full thread — not just a snippet — so you understand the context before reaching out. The connection screen simply shows you which platforms are active with a toggle. Turn a source off if it generates noise for your specific ICP. Every source is pre-configured and actively maintained by the PQ Intel team.
This is the core of your daily experience. Every signal — every post, comment, question, or launch that matches your ICP — appears in your dashboard ranked by relevance. The ranking system uses three tiers. Hot signals are strong matches: the author's profile, language, and intent align closely with your ideal customer. These are the leads you should reach out to today, not this week. Warm signals are partial matches: the discussion is relevant but the individual may not be a perfect fit, or the topic only partially overlaps your ICP. Warm signals are worth monitoring — some convert after a follow-up post or a second interaction. Cold signals are automatically deprioritised: the content matched a keyword but the context or author profile does not align. Cold signals are still visible in a separate feed if you want to scan them, but they do not clutter your main dashboard. Each signal card shows the original post, the platform it came from, a relevance score out of 100, and a timestamp. You can filter by platform, score range, date, and keyword. You can mark signals as "contacted," "dismissed," or "saved for later." The feed updates in near real-time, so you never miss an opportunity.
Once you have identified a hot signal, the next step is outreach. PQ Intel generates a contextual draft message anchored to the specific signal that triggered the alert. This is not a generic template with a {{placeholder}} — it is a personalised message that references the exact conversation, post, or question the prospect posted. If a user asked on Reddit "We are scaling our data team and need a better pipeline tool," the AI draft might open with "Saw your post about scaling your data team — we built a solution specifically for teams hitting that inflection point." The draft pulls context from the prospect's profile, their original message, and the platform it was posted on. You can edit the draft, rewrite it entirely, or discard it and write your own. The outreach system connects to your own email infrastructure — you send from your domain, through your own SMTP or email provider. PQ Intel does not handle delivery; we handle the signal detection and the contextual draft. You retain full control over your sending reputation, your copy, and your follow-up cadence. For Growth and Pro plans, the system also offers multi-channel outreach templates (LinkedIn message + email) with a unified thread view.
PQ Intel runs on a continuous loop — scanning, scoring, and surfacing — but your day has a natural rhythm. Here is how signals move through your workflow from morning to night.
At 7 AM in your timezone, PQ Intel delivers a consolidated digest of every signal that surfaced overnight. This includes all Hot signals detected in the last 12 hours, a count of new Warm signals, and a brief summary of trending topics in your ICP. The digest arrives as a dashboard view — not an email, not a notification — so you can open it with your coffee and triage the day in under 5 minutes. You will typically see 3-8 Hot signals per morning depending on your ICP breadth. Each digest also highlights signals from platforms that peak during off-hours (Reddit, Hacker News, Telegram) so nothing slips through the overnight gap.
Between 12 PM and 3 PM, activity spikes across LinkedIn, X/Twitter, and Product Hunt. PQ Intel sends real-time push alerts for Hot signals as they are detected during these hours. You can configure the alert threshold — receive notifications only for Hot signals that score above 85/100, or for every new Warm signal. Alerts appear in your browser (desktop push) and optionally via Telegram or Slack webhook. The goal is to catch time-sensitive opportunities — a prospect asking for vendor recommendations on a lunch-break Reddit thread, or a CEO tweeting about a pain point your product solves. Mid-day alerts are designed for the 30-second scan: read the signal header, decide to act or defer, and get back to your day.
At 6 PM, the system generates an end-of-day recap summarising everything that crossed your feed. This is where you close the loop: mark Hot signals as "Contacted" and log the outcome, review Warm signals that may have escalated to Hot based on new activity, and dismiss Cold signals that are no longer relevant. The evening review also includes a daily performance snapshot — how many signals you acted on, how many remain open, and a preview of upcoming signal clusters. This is the moment to update your ICP if you noticed patterns of irrelevant signals (tighten keywords) or missed opportunities (broaden geography or roles). The evening review consolidates the day's work so you start tomorrow with a clean slate and a clear priority list.
Every lead that passes through PQ Intel follows a repeatable pipeline. Here is the complete lifecycle from raw mention to revenue.
Step 1 — Raw signal detection: A prospect posts on Reddit, Hacker News, LinkedIn, or any monitored platform. Their message contains keywords or topics that match your ICP configuration. PQ Intel's crawler captures the full post, profile metadata, thread context, and platform attribution within minutes of publication.
Step 2 — Scoring and ranking: The signal passes through the scoring engine, which evaluates it against your ICP dimensions — industry match, role match, keyword density, language sentiment, and geographic relevance. The signal receives a score from 0 to 100 and is tagged Hot (80+), Warm (40-79), or Cold (under 40). Hot signals appear at the top of your feed immediately.
Step 3 — Contextual draft generation: When you open a Hot signal, PQ Intel analyses the full thread and generates a personalised outreach draft. The draft references the prospect's exact words, mentions your product only where relevant, and mirrors the tone of the original post. This is not a template — every draft is unique to the signal.
Step 4 — Outreach sent: You review the draft, edit it if needed, and send via your own email infrastructure or LinkedIn. PQ Intel does not send on your behalf — it arms you with the right message. The signal card updates to "Contacted" status with a timestamp so you can track engagement.
Step 5 — Conversation and close: The prospect replies. You manage the relationship in your CRM or inbox. PQ Intel's job is done when the first message is sent — the tool exists to surface the opportunity and give you the context to act. From there, your sales process takes over. Many users report that signals originating from PQ Intel close at higher rates because the outreach is anchored to something the prospect explicitly said they needed.
Each plan unlocks a different scope of platform monitoring, signal volume, and AI features. Choose the tier that matches your team's reach.
Straight answers to the questions we hear most often during the trial period.
Most users see their first Hot signal within 2-6 hours of completing the ICP setup. The system begins scanning all 14+ platforms immediately after you save your configuration. If your ICP is broad (e.g., "CTO of any B2B SaaS company"), the pipeline fills faster — you may have signals within the first hour. Narrow ICPs (e.g., "Head of Data at insurance companies in Germany using Snowflake") take longer because the match is more specific, but those signals are exponentially more valuable. The dashboard shows a live counter of signals scanned even before the first match, so you can confirm the system is working.
Yes. Platform monitoring runs 24/7/365 with no gaps. Reddit, Hacker News, X/Twitter, and Telegram are particularly active on weekends — many professionals use Saturday mornings for research and posting questions. PQ Intel detects and scores these signals in real time regardless of the day. The morning digest still arrives at 7 AM Monday through Sunday, and mid-day alerts fire whenever a Hot signal is detected. The only feature that pauses on weekends is the evening review recap — you will see a combined Saturday+Sunday summary on Monday morning instead.
These are PQ Intel's signal confidence tiers. Hot (score 80-100): The prospect's profile, language, and intent strongly match your ICP. The signal contains explicit buying language — words like "looking for," "need a solution," "recommend a tool," "evaluating vendors." These are the leads you should contact within 24 hours. Warm (score 40-79): The content is relevant but the intent signal is weaker. The person may be discussing a problem your product solves without explicitly asking for recommendations, or the role/industry match is close but not exact. Monitor Warm signals — they often escalate to Hot when the same person posts again. Cold (score 0-39): The post matched a keyword but the context or author profile falls outside your target. Cold signals are stored but not pushed to your main feed. You can review them if you want to broaden your search.
Not at all. PQ Intel is designed for asynchronous use. The morning digest gives you a complete picture of everything that happened while you were offline. Mid-day alerts are optional — you can disable push notifications and only check the dashboard when it suits you. The evening review helps you close the loop before you log off. The only thing you might miss by not being online in real time is a very time-sensitive signal (e.g., someone asking for recommendations in a fast-moving Telegram group). Even then, the signal remains in your feed and you can act on it the same day. The system does not require you to be logged in — monitoring, scoring, and ranking all happen server-side regardless of whether your browser is open.
Yes. From your settings page, you can pause all monitoring with one toggle. This stops crawling immediately and preserves your ICP configuration, connected sources, and historical signal data. When you resume, the system picks up where it left off. This is useful during holidays, between funding rounds, or when you have a full pipeline and do not want new leads. You can also pause individual platforms — for example, disable Reddit monitoring if you are getting too many low-quality signals from a specific subreddit while keeping LinkedIn and Hacker News active. Pausing does not affect your billing cycle; your subscription remains active.
The trial costs $5 upfront for 3 full days of unlimited Starter-plan access. We charge the card on signup to verify intent — this prevents abuse of platform monitoring infrastructure. During the trial you can configure your ICP, connect all Starter platforms, receive real signals, and test the outreach drafting feature. If you do not cancel before the 3 days end, your account converts to the Starter plan at $29/mo. You can upgrade to Growth ($99/mo) or Pro ($249/mo) at any time during or after the trial. If you cancel during the trial period, you keep access until the 3 days expire and your card is not charged again.