Board
Problem-intent board
Finds people posting about the problem you solve and drafts an opener that quotes their own words.
- For
- Account executives
- You provide
- The problem you solve, in your own words
- You get
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- Feed of posts with their authors
- Authors grouped by company
- 20 people with email and opener
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Today we're building a prospecting board for a Supabase rep.
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The best lead is someone naming your exact problem.
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Seven searches on Trayo returned 175 posts, 37 real.
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Narrow to the twelve with a verified email already.
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One click on Pranay D. opens the whole case.
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Every post here came back from Trayo, newest first.
The prompt
Paste it into any coding agent with the Trayo MCP connected.
- + any MCP client
Use Trayo to build a problem-intent board from public posts. Let me describe the problem my product solves in my own words, search public posts from the last 30 days for people describing that problem themselves — not complaining about a named competitor, but stating the pain — and pull each author with their title and company. Score each author on how squarely they sit in my ICP and how explicit the pain is, then roll them up by company. For the strongest 20 people, get a work email and draft one opening line that quotes their own words back to them. Show a feed of the posts with the matched person beside each one, and mark where the post window is thin so I don't read a quiet week as a quiet market.
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.
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.
Reads social activity
Posts and the people engaging with them, for plays that start from a conversation.
How it was built
The data behind each screen, and what's faked for the demo.
Built in 22 min · 6 capabilities · 19 live API calls
This is an internal prospecting screen for a Supabase rep. The problem was described in plain words — teams stitch a database, auth, storage, realtime and vector search together from separate vendors and burn weeks on plumbing before shipping the feature a customer asked for — and the board shows the people who described that same problem themselves in the last 30 days, never the people complaining about a named competitor. The Board route ranks 34 authors on ICP fit out of 50 and pain clarity out of 50, and opens each one into a drawer with the quoted opening line and the posts behind it. The Post feed shows every post as Trayo returned it with the matched author beside it, over a posts-per-week chart. The Companies route is the same people rolled up by account.
Trayo supplied everything factual. Seven trayo_search_posts calls over a 2026-09-08 to 2026-10-08 window returned 175 posts; 37 survived a read for first-person pain, dropping vendors selling a competing backend, tutorials and coursework. trayo_add_people imported the 34 authors and created or matched 32 accounts, filling in titles, photos and employers from the LinkedIn profiles Trayo holds. trayo_enrich_emails was run on the 20 highest-scoring people and returned 13 verified work addresses; 7 lookups found nothing and are shown as such rather than guessed. Every name, title, company, logo, avatar, post text and email address on the screen came back from the API.
Three things are worth saying plainly. The two scores and the opening lines are mine, not Trayo’s — the API supplies no fit score, so the rubric is stated on each person’s drawer and should be argued with. Trayo attached the employer from LinkedIn for five people whose post carried a different company or none at all, and for one of them (Andrei Nita) the email lookup came back on a third domain again; those rows are flagged in the UI rather than quietly reconciled. And the post index runs about ten days behind publication, so the last two weekly buckets are genuinely under-collected — they are hatched in the chart and called out twice, because the drop from 13 posts to 5 to 0 is a collection artefact, not a quiet market. Two early post searches failed with post_search_failed on long query strings and succeeded once shortened. Salesforce, HubSpot, sequence and email-send buttons are previews that toast what would have been sent; nothing is integrated.
More recipes
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Turns a CSV of names and companies into people with title, LinkedIn, location, work email and an angle to lead with.
You provide: A CSV of names and companies
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Puts everything worth knowing about one prospect on one screen, with five bullets to read before the call.
You provide: A person's name and company, or an email address
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Ranks companies that showed two or more buying signals in the last 90 days, with the events as proof.
You provide: A target number of companies, and your saved ICP