List
Prospect list by title
Finds people with a given title at a given kind of company, each with a verified work email.
- For
- SDRs and account executives
- You provide
- A job title and a company profile
- You get
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- A shortlist of ten people
- Verified work emails
- The same people grouped by company
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Ten fintech sales VPs, lined up for a Vercel rep.
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Fifty-eight fintech candidates came down to these ten.
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Three need a check before a first touch.
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Jeff Stirling's only address is on another company's domain.
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And what is probably on his desk.
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Close it. The flag stays on his card.
The prompt
Paste it into any coding agent with the Trayo MCP connected.
- + any MCP client
Use Trayo to find 10 VPs of Sales at US Series B fintech companies.
Take the tour
A narrated walkthrough of the app.
The building blocks
What this app asked Trayo for
Every name, number and email on the page came back from one of these. None of it was typed in.
Reads your workspace
What you sell, who you sell to, and the buyer personas already saved in Trayo.
Finds companies
Surfaces accounts that match your ICP, plus lookalikes of the ones already working.
Researches an account
A live snapshot per company — size, stack, why-now signals and why it fits.
Finds the right people
Named stakeholders at an account, matched to the buying roles you care about.
Gets verified emails
Work addresses with a confidence signal, so a bad match is visible rather than sent.
Builds your account list
Imports, updates and organises accounts so the work survives the session.
How it was built
The data behind each screen, and what's faked for the demo.
Built in 16 min · 6 capabilities · 34 live API calls
This is a prospecting screen for a Vercel rep working US fintech. It lists ten VPs of Sales, one per account, with the email address Trayo found, how long each has been in the seat, and a filter for the cuts a rep actually uses: reachable, new in seat, needs a check. Opening a row gives the account’s why-now, a read on the person, and the problems likely on their desk; a second view shows the ten accounts as cards with where Vercel fits each one.
Trayo supplied everything on screen. Two trayo_find_companies sentence searches returned 58 US fintech companies (headcount 40-1500). Two direct trayo_find_people searches over 50 of those websites, with six spellings of the VP-of-sales title, returned 26 people at 17 companies; ten were kept, one per account. trayo_research_company ran once per account for the why-now and fit points, trayo_research_person_batch once for all ten career histories, and trayo_enrich_emails returned 8 verified addresses out of 10 - one not found (Clinton Gausnell, retry open from 11 November 2026) and one flagged identityConfidence “conflict” because the only address found sits on another company’s domain (Jeff Stirling). Both are marked in the UI rather than quietly dropped. The ten accounts and ten people were written to the workspace with trayo_import_accounts and trayo_add_people.
The “Series B” part of the brief could not be verified and the app says so on its first screen. Trayo records a funding stage for only a minority of companies: a direct lookup of the 50 named fintechs with fundingStages: series_b returned zero rows, with all 50 reported as filtered out, and band-by-band scans of US financial-services companies with that filter surfaced only two (Lead and MAJORITY), neither of which has a VP of Sales in Trayo’s people data. So the ten were selected on the shape of a Series B company - privately held, founded 2015-2021, 47 to 377 employees - and the stage is labelled unverified. One other caveat: person research for Gabriele Galli resolved his profile to an advisory seat at Owl Protocol rather than to Mesh, so his row carries a warning. Salesforce, Slack, sequencing, email drafting and CSV export are buttons only - each opens a preview toast saying what would have been sent. Vercel’s single brand colour #171717 went through brandFromWorkspace and applyBrand; because it is a neutral with no hue, the library took it as the primary and noted that it assumed a white page and derived the top bar from a deep step of that colour. No colour was dropped.
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