How Avrel finds leads: scan the communities where buyers ask, match their words against your buyer signals, score each match, draft a reply you review — and every send stays manual.
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Avrel finds leads by watching the places where buyers ask, in their own words, who to hire — then matching those words against the buyer signals you set, scoring each match, and drafting a reply you review before anything is sent. Every send stays manual.
That is the whole pipeline in one sentence. The rest of this post walks through each step, so you can see exactly what happens between a stranger's post and a lead in your workspace — and what Avrel deliberately does not do.
Avrel scans visible posts and messages across the communities where buyers actually ask for help: Reddit, Facebook Groups, LinkedIn, Slack, Discord, IndieHackers, Product Hunt, X, Telegram and WhatsApp. It reads what is visible in those communities — there is no hidden scraping.
Which platforms you scan depends on your plan. The free trial covers one platform of your choice. Starter covers Reddit and Facebook Groups. Pro adds LinkedIn. Agency covers five platforms, with more available on request. Pick the platforms where your buyers post, not the most platforms — a freelancer selling to SaaS founders and a freelancer selling to local businesses are watching different rooms.
If you are still deciding which platforms fit your service, the guide to choosing a lead generation tool walks through the six checks that matter — buyer-intent signals first, platform coverage second.
Scanning alone would drown you in posts. Avrel matches each post against the buyer-intent keywords you set. The defaults cover the phrases buyers use when they are ready to spend: "looking for", "need help", "need lead generation", "looking for marketing agency", "need seo", "hiring", "paid", "budget", "b2b", "outbound", "cold email" — and you can change them to the exact words your buyers use.
Just as important is what gets filtered out. Negative signals remove the posts that look like leads but are not: "unpaid", "volunteer only", "scam", "not hiring", "free work", "job seeker looking for work", "student looking for internship". A hiring post from a job seeker and a hiring post from a buyer use many of the same words — the negative signals are what separates them.
Every matched post gets a score. The weights are plain and visible: "looking for" and "need help" are worth 30 points each, "hiring", "paid" and "budget" are worth 25, and context words like "b2b", "founder", "startup", "lead generation", "outbound" and "cold email" are worth 20. The default threshold is 25 — a post has to clear it before it reaches you as a lead — and you can raise or lower that bar yourself.
Leads are ranked Hot, Warm or Review, and Avrel shows its working: intent, urgency, budget signals and fit, each tied to the exact words in the post. You can see why a lead scored what it did and decide in seconds whether it deserves your next ten minutes. The 60-second lead-scoring guide explains how to make that call fast.
A scored lead is only useful if you can answer it well. Avrel drafts a reply from your knowledge base — your service, your offer, who it is for, their pain points, your proof, your call to action, and your tone — using templates you can edit. The draft is written for that specific post, quoting what the buyer actually asked.
Nothing is sent automatically. Every send is manual: you read the draft, change it if you want, and send it yourself. That is a deliberate design choice, not a missing feature — communities ban accounts that blast automated messages, and a reply that reads like a bot gets ignored even when it is not removed.
The guide to writing outreach messages that get replies covers the four-part structure the drafts follow: what they asked, what you noticed, one proof, one small next step.
Most leads do not close on the first message. They die quietly — a "let me think about it" you never circled back to. Avrel keeps an overdue list and a "needs a nudge" queue, with follow-up drafts written alongside the first one, so the second message goes out.
Every lead lives in one workspace with its source post attached: review, save, assign, filter, export, and a real timeline per lead — found, drafted, sent, replied. Three weeks from now, when you half-remember a perfect lead, full-text search over names, posts, communities and keywords brings it back.
The free trial runs 7 days, with 50 saved lead credits and 50 draft credits on one platform of your choice. Starter is $129 a month — Reddit and Facebook Groups, 1,000 leads and 1,000 drafts a month. Pro is $229 a month — LinkedIn added, 5,000 leads and drafts, three users and three workspaces. Agency is custom pricing for teams that want every platform.
Three honest limits. First, Avrel does not send anything for you — if you want automation, this is not your tool. Second, it only sees visible posts in the communities you watch; it cannot find buyers who never post. Third, it does not guarantee a number of leads. As an illustration, a person actively working scans for eight hours a day finds roughly 10 to 15 qualified leads per platform per day — that is an average for active use, not a promise, and your real number depends on your niche, your keyword setup, and how busy your communities are.
If you want to see the pipeline on your own keywords, start a free 7-day trial and set it to the words your buyers use first. You can also browse the communities page to see where buyers in your space ask questions, or read the features page for the full detail on scoring, search and follow-ups.
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