Describe your buyer. Get the list.
Say who you sell to and Discovery goes and finds them — companies or people — checks each one against what you asked for, and writes them into a table with the evidence attached. Then the rest of the platform emails them.
- Companies or people
- Evidence on every row
- Priced per row
- Lands in your table
- No seat, no contract
A list you can defend, not a scrape.
The hard part of a prospect list is not finding names, it is knowing which ones actually match. Every row here carries what it was matched on.
Start from a brief
Describe the customer in plain words — industry, size, location, what they do — instead of assembling a filter query.
Companies or people
One axis, not six confusing categories. Ask for organisations or for the individuals inside them.
Creators where they post
Name Instagram, YouTube, TikTok or X and a people search runs on that platform instead of LinkedIn, with follower counts where the result shows them.
Signals, checked by search
Mention a signal in the brief and the verifier looks for it, going to a web search when the company's own site does not say. A signal it cannot confirm ranks the row lower instead of removing it.
Checked before it lands
A verification pass tests each candidate against your criteria. Candidates that fail a defining one, such as what they are or where they are, get dropped rather than handed to you.
Location that is actually right
For companies, the city is read out of the listing's own address rather than stamped from your search text, so a metro-area search does not mislabel the suburb.
Into a table
Review the matches, tick the ones you want, and they are added as rows in TinyTables. No CSV, no copy-paste.
Enrich in the same breath
Found a company but need the head of marketing and their address? The enrichment columns pick up where the finder stopped.
Pay for rows, not seats
Credits are spent per record. There is no per-seat licence and no annual minimum.
From a sentence to a working list.
- 01
Say who you want
Write the brief in plain words: who they are, where they are, and anything else that makes them a fit.
- 02
It searches, then checks
It picks where to look from the shape of your brief, pools candidates, then checks each one against what you asked for and ranks them by how well they match.
- 03
The rows show up in a table
Each one lands in TinyTables with what it matched on. Enrich them, form-gate them, or point a campaign at the table.
It uses the rest of your TinyCommand.
Same login, same data, same bill. No export step between the thing that finds the answer and the thing that acts on it.
What Discovery is not.
Every tool’s marketing page tells you what it does. This is the part that usually isn’t on one, so you can find out now instead of after you’ve built on it.
- This is not a licensed B2B database. There is no Apollo, ZoomInfo or Clearbit underneath — everything is found on the live web and structured by a model. That is why it costs a fraction of those, and why coverage varies by industry and country.
- It is not a replacement for a list you have already validated. Treat the output as strong candidates with evidence, not as verified fact.
- Runs are started by hand. Scheduled and recurring prospecting exists in the service but is not exposed in the product, so do not plan around it.
- People search reads search results, mostly LinkedIn result snippets. It never opens a profile page, so role, company and location are only as good as what the search result shows.
- Email addresses are a separate enrichment step with their own per-row cost. A found company does not automatically arrive with a contact.
- Row counts are not guaranteed. A narrow brief in a small market returns what genuinely matches rather than padding to a round number.
Questions people actually ask.
How is this different from enrichment?
Enrichment fills in rows you already have. Discovery finds rows you do not have yet. Most people use them together: find the companies, then enrich for the person and the address.
Is this a Clay alternative?
It covers the same job — build a targeted list, verify it, enrich it, act on it — inside the platform that already holds your tables, workflows and email, and priced per row rather than per seat. It is not a like-for-like feature clone.
Where does the data come from?
Live web search and page fetching across general and specialised sources, with a model structuring what comes back and a verification pass filtering it. No purchased contact database.
What does a run cost?
Credits per record, set by what you search: 20 for local businesses, 10 for agencies, 10 for people, 20 for influencers. Email verification is priced separately at 5. You are charged for rows that are written, not for the attempt.
Can I start from a customer I already have?
Not from their domain. Describe what that customer is in the brief (the industry, the size, the place, what they do) and it searches for companies that match the description.
The list is the hard part. It shouldn't cost you a seat.
Describe the buyer, get verified rows in a table, and let the workflows and campaigns you already have take it from there.