Signal-qualified pipeline, waterfall enrichment on every record, matched audiences from the same list and champions tracked when they change jobs. The data work a SaaS plan takes for granted, run by agents instead of headcount you have not hired yet.
Hiring, funding, technology adoption and change, news, relationships, intent, growth and leadership moves, read per account.
Closed-won contacts checked for job changes, the new company enriched and the new lead staged.
The target-account list feeds the CRM segment, the sequence tool and the matched audiences from one definition.
Every email verified before a sequence sees it; risky rows split out with counts.
The plan assumes lists built, verified and worked every week. The team assumes a quarter of hiring that keeps slipping. The gap compounds monthly.
Employee counts from the first demo, champions who left in spring, technology fields nobody filled. Scoring and routing run on fiction.
The ABM audience in LinkedIn and the list the SDRs work were built by different people from different exports. The handoff is an argument.
Hiring, funding, technology adoption and intent signals swept continuously against your ICP, champions verified, accounts written to your CRM with the evidence attached.
Companies running the technology you integrate with, replace or complement, identified and scored, with the stack recorded on the account.
The same target-account list pushed as a matched audience to LinkedIn and Meta, suppression of customers and open deals applied, refreshed weekly.
Closed-won contacts watched for job changes; the new company enriched, the email verified, the alumni note and the new lead staged together.
Onboarding drafts it from your site and your closed-won accounts: segment, size band, stack, the function you sell to and the signals that precede a deal.
Companies hiring in your buyer’s function, recently funded, adopting or replacing a technology in your category, or researching your topics.
Economic buyer, champion and evaluator resolved by title at each account, with tenure so a rep knows who is new.
Emails and phones verified through licensed sources; firmographics, stack and the qualifying signal attached to every row.
Fit against the ICP with reasons, deduplicated against the CRM, customers, open deals and competitors held out.
A CRM batch for sales, a paused sequence for outbound and a matched audience for paid, from the same list, approved once.
SaaS companies that raised in the last ninety days and are hiring in the function you sell to, the functional head verified, tagged into the CRM with the round and the postings quoted.
Every company detected running the technology you replace, scored against the rest of your ICP, the owner of that tool found and verified, with the stack recorded on the account.
The week’s free signups reverse-enriched to people and companies, scored against the ICP, and the ones inside target accounts routed to sales with the buying committee mapped.
Closed-won champions watched for job changes; the new company enriched, the email verified, and an alumni note drafted beside a new lead in the CRM.
| By hand | With AstroFabric | |
|---|---|---|
| Account selection | Firmographic filters from last year | Signals crossed with the ICP, refreshed weekly |
| CRM records | Employee counts from the first demo | Enriched through the waterfall on a schedule, sourced and dated |
| Champions | Discovered gone at renewal | Job changes caught and new leads staged |
| Sales and paid | Two lists, two definitions | One governed list behind CRM, sequences and audiences |
| Sequences | Loaded from an unverified export | Verified, deduplicated, loaded paused |
| Headcount | A quarter of hiring that keeps slipping | Agents carrying the data work today |
SaaS companies that raised recently and are hiring in the function you sell to, heads identified and verified, tagged into the CRM.
Every company detected running the incumbent you replace, scored against your ICP, the buyer found and verified.
Every closed-won champion who moved this quarter, with the new company enriched and a first touch drafted.
Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.
New records queue for approval until you raise autonomy, and a retried mission never creates the same contact twice.
Nothing enters a sequence unverified; your sender domain is an asset the platform treats as one.
ICP definitions, suppression lists and scoring rules accumulate in your workspace, versioned, so the learning stays when people change.
The agents work the accounts PLG surfaces: signups reverse-enriched and scored so sales sees which free users sit inside target companies, usage cohorts turned into matched audiences and expansion lists, and the buying committee mapped at accounts where one user is already active.
Hiring in the function you sell to, funding that unlocks budget, technology adoption or replacement in your category, and intent on the topics your buyers research. The Signals Agent reads all four per account and ranks by trajectory, so the list leads with accounts moving now.
HubSpot, Pipedrive, Attio, Zoho and Apollo for the record; Instantly, Lemlist and Gmail for sequences; LinkedIn, Meta and Reddit ad accounts for audiences; Slack and Sheets for delivery. Anything beyond the roster is reachable through the REST API and MCP surface your engineers already understand.
Upload it or point at the CRM segment and it becomes a persistent list: enriched through the waterfall, scored against the ICP, deduplicated and suppressed. From there it feeds sequences and matched audiences and refreshes on a schedule, so the tiering sales agreed on is the tiering paid targets.
Yes. A watch on customer accounts reads headcount growth, new funding, new offices, hiring in the teams that use your product and leadership changes, and routes each to the account owner with the source. Expansion cohorts can also become lists and audiences for the campaign built for them.
Plans start at $65 per month with credits included and scale with usage under a ceiling you set. Paid data is charged only when a source fills a field or verifies a contact, scoring and exports are free, and every mission states its estimate before it runs.
No. It feeds the tools you already run: HubSpot, Pipedrive and Attio for records, Instantly and Lemlist for sequences, LinkedIn and Meta for audiences. The agents carry the data work between those tools, and every write into them waits for an approval you can see.
Signals to pipeline, one list to every channel, starting this week.