Team page, Ledgerly
Maya Chen is VP Finance at Ledgerly, a 250-person Series B SaaS company. Ledgerly runs on NetSuite and Stripe, and the finance team is hiring two senior accountants.Davis finds prospects, quotes the source behind every score, and drafts emails that wait for your approval. Nothing reaches a buyer until you say so.
Maya Chen, VP Finance at Ledgerly
QualifiedEach line is a fixed rule applied to cited evidence, so the same evidence always gives the same score.
Team page, Ledgerly
Maya Chen is VP Finance at Ledgerly, a 250-person Series B SaaS company. Ledgerly runs on NetSuite and Stripe, and the finance team is hiring two senior accountants.Davis does the searching, reading and drafting. The decision to send stays with you.
Davis searches the web and startup directories for people who match your ideal customer.
Every fact it keeps comes with the page it was found on, the exact words, and a confidence level.
Fixed rules turn those facts into a score. The same evidence always gives the same number.
Emails are written only from claims your team has approved about your product.
You read, edit, and approve each email. Only then is it sent from your own Gmail.
These are enforced in code, not left to the model's judgement.
Send an email you haven't approved.
Every draft waits in a queue. Approving is the only thing that sends.
Invent a claim about your product.
Drafts may only use claims your team approved, and are checked for anything on your disallowed list.
Score a lead it can't back up.
Facts without a source are dropped. A lead with too little evidence is marked as such, not guessed.
Email someone who opted out.
Unsubscribes are suppressed automatically and checked again at the moment of sending.
Go past your daily limit or send twice.
A send cap and duplicate check run on every approval.
Describe your product, define who you sell to, connect Gmail, and start a campaign.