SignalOS scans LinkedIn every day, qualifies each post against your ICP, and hands you a short list of hot leads — name, role, company, email, and the exact post that triggered the match. No spreadsheets. No noise.
“Anyone know a solid Shopify dev agency? Migrating off WooCommerce next month, budget is real.”
“Looking for a fractional CMO who's scaled B2B SaaS from $1M → $10M ARR. DMs open.”
“Segment pricing got insane. What are folks using for CDP / analytics pipelines in 2026?”
Lovable AI works by default. You only need an Apify token to collect LinkedIn posts.
Sign up, then describe your offer and ideal buyer in the guided ICP setup.
In SignalOS Settings, paste the personal API token from Apify Settings → Integrations and save it.
Add buying-intent keywords and run now, or schedule a daily IST Autopilot scan. OpenAI stays optional.
From a raw keyword to an enriched dossier in one continuous loop — no spreadsheets, no stitching, no scheduling.
Drop your keywords and tune the GPT prompt that decides what qualifies. Every tenant gets their own ICP and their own keys.
We scrape every post in the last 24h, then your model classifies each one against your ICP — keeping only real buying signals.
Every qualified poster is enriched: full name, headline, company, location, email — surfaced as one searchable, exportable table.