Cold blasting returns less and less
Reply rates falling, deliverability degrading. The more cold volume you push, the worse the margin gets, with no improvement in pipeline.
exolead spots who likes and comments on market content, drops everything off your ICP, and delivers the rest to a board. On your own API keys: flat price, unlimited volume, no per-lead cost.
01 // the problem
The signals are there, public, every day: likes and comments on market content, companies hiring. But turning them into leads at scale means either building and maintaining a scraping-and-qualification stack, or paying a tool per lead. Both eat the margin before the first meeting.
Reply rates falling, deliverability degrading. The more cold volume you push, the worse the margin gets, with no improvement in pipeline.
Scraping, account rotation, parsing, a qualification prompt, deduplication, API budget control. To build, then to maintain forever every time LinkedIn shifts.
Credit-based tools bill every enrichment. The more prospecting scales, the higher the bill climbs, unrelated to the leads actually worth working.
Every day, your ICP likes and comments on market content. These interactions are public, but no one has time to track them by hand.
02 // the signals
Engagement on tracked accounts (competitors, creators, media), posts that talk about the topic, companies that are hiring. Every profile passes the same filter, your ICP, defined and refined by you. Only the ones that fit reach the board.
keywords
Track the posts that mention your market keywords, then keep only the profiles that match your ICP.
market engagement
Spot the people reacting to content from the accounts that matter in your space, then qualify them against your ICP.
hiring
Read hiring as an expansion signal to reach out as the need takes shape.
03 // how it works
Someone who regularly likes or comments on market content, or a company hiring around it, is probably more mature than average. exolead automates that read, at scale.
Your ICP, target roles, personas, and the sources to watch: accounts to track (competitors, creators, media), topic keywords, hiring to watch.
The engine collects likes and comments on posts from tracked accounts and searches, and spots companies that are hiring. Each reaction is a public sign of interest.
Each profile is enriched (role, company, seniority) then compared to your ICP, with geo and company-size gates. Off-target profiles are discarded, aligned ones get a score.
Leads land deduplicated and scored, each with its context: the post engaged, the comment left, the score. Exportable to CSV or pluggable through the MCP endpoint.
04 // what it delivers
Qualification (your ICP rules), tracked accounts and keywords, personas, exclusions, geo and company size: it all gets set and readjusted by you, no ticket, no developer.
Flat subscription, your own API keys, every spend metered and capped by a daily budget. Volume depends only on the budget, never on a per-lead price or credits.
A read-only MCP endpoint to pull leads into Claude or another client, CSV export, server-side scraping with no extension. The LinkedIn account is never exposed.
05 // pricing
One flat price: €59 a month, whatever the volume. The daily budget decides the rest, from 20 to 2,000 leads a day, depending on your needs and your stage.
Free trial of 15 leads, no card. No commitment, cancel anytime.
06 // faq
07 // access
Create an account, set your ICP and the sources to track, plug in the keys, and the board starts filling as engagement is detected. Free 7-day trial, cancel anytime.