Board
Intent leaderboard
Ranks companies that showed two or more buying signals in the last 90 days, with the events as proof.
- For
- Account executives
- You provide
- A target number of companies, and your saved ICP
- You get
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- Ranked accounts
- The events behind each rank
- Stakeholders to call
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An intent leaderboard for Stripe reps choosing who to call.
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Each signal shows how many accounts it reached.
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Intuit leads: 8 distinct signals, 14 events.
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A new Director of Finance, hired from Docusign.
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Close it and take the next account.
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Every signal's fire rate, against all 369 accounts.
The prompt
Paste it into any coding agent with the Trayo MCP connected.
- + any MCP client
Use Trayo to build an intent leaderboard. Let me set a target number of companies, then keep working until you find that many companies with two or more distinct signal events in the last 90 days — one event is noise, two is a pattern. Define the signals from my ICP, run discovery across candidate accounts, and keep widening the candidate set until the target is met or you can show me you have exhausted what is findable. Rank by how many distinct events fired and how recent they are. Every row shows the actual events as proof, never a score alone. Tell me plainly if you stopped short of the target and why.
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.
Builds your account list
Imports, updates and organises accounts so the work survives the session.
Watches for buying signals
Standing watches for job changes, funding and the other moments worth a reply.
How it was built
The data behind each screen, and what's faked for the demo.
Built in 23 min · 4 capabilities · 35 live API calls
This is an internal prospecting screen for Stripe account executives. It answers one question: which accounts in Stripe’s ICP are showing a pattern of buying intent right now, rather than a single stray mention? The leaderboard lists accounts where two or more distinct signals fired inside a 90-day window (14 July to 12 October 2026), ranked by how many distinct signals fired and then by how recently. Every row carries chips for the signals that fired and the headline of its newest event; opening a row shows all of that account’s events with the date, the publication, the Stripe product the event points at, and a link to the source. Job-change events render the person who moved and the role they left. Accounts that fired exactly one signal sit behind a filter and are labelled as noise, and a “Strong (4+)” band picks out the 23 accounts with four or more distinct signals. A second view shows every signal’s fire rate measured against all 369 accounts scanned.
Everything on screen came from the Trayo API. The candidate set is one trayo_find_companies search in direct mode over the workspace’s own ICP — twelve industries from the taxonomy, a 200-20,000 headcount band, seven English-language headquarters countries — paged four times for 400 rows, of which 379 carried a website. Those were imported with trayo_import_accounts (minus Stripe itself and four junk listings) as 369 accounts, then run through two trayo_run_discovery waves at a 90-day lookback against all ten signals the workspace was onboarded with. Wave one covered 198 accounts and 65 of them cleared the two-signal bar; wave two covered the remaining 171 and took the total to 123. Discovery wrote 731 events, 609 of which fell inside the 90-day window — the other 122 were job changes dated by the month the role started, which sits before the window. 244 of the 369 accounts fired at least one signal. Intuit led with eight distinct signals across fourteen events; Davidson Hospitality Group and Western Union followed at seven.
Three honest notes. First, I set the target at 25 accounts and the first wave alone returned 65, so the second wave was not strictly needed — it was already running in parallel when the first settled, and it is included. At 123 of 369 the two-signal bar is a filter, not a shortlist, which is why the app says so and offers the four-signal band; growth-scaleup fired on 35.5% of accounts and finance-automation-hiring on 27.1%, and the signals view flags both as too broad to carry a shortlist on their own. Second, a filters-only Trayo search returns largest-first, so although the ICP band was set at 200-20,000 employees the accounts actually scanned run 7,523-19,928 — smaller ICP accounts are not represented. Third, “Push to Salesforce” and “Draft outreach” are stubs: no CRM is connected and no mail is sent; each confirms with the library’s preview toast saying what would have been sent. On branding, brandFromWorkspace gave #635BFF the primary role and read #0A2540 as an accent (chart series two onward) rather than as the shell, so the top bar wears a deep step derived from the violet rather than Stripe’s navy. The library also reported that #635BFF falls under 4.5:1 as text on a light page and substituted #5446EA for links and accent text, and that with no background colour supplied the page takes a soft violet tint. Those are the library’s own decisions and were left as it made them.
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