Find prospects from natural-language criteria
Lets users describe the people they are looking for in normal language.
Productivity / product dossier
Tables.so
Finds and scores verified prospects, with contact details and sources behind each research answer.
Product brief
What Tables.so does.
Finding new customers takes way too long and most of that time goes into work nobody wants to do. So we built Tables. You write who you are looking for in normal language and Tables goes through 300M+ verified contacts, looks into each one and answers the questions you actually care about. You get a scored list with emails, phone numbers and the sources behind every answer, so you can check it. Syncs with HubSpot, Pipedrive and Attio, and works on LinkedIn and inside Claude.
Why we selected it
A focused GTM workflow with useful verification mechanics: natural-language targeting, contact research, scoring, and sources behind each answer. CRM integrations and Claude/LinkedIn availability make the output easier
- Best for
- GTM teams building target lists
- Category
- Productivity
- Daily picks
- 1
- First selected
- 2026-09-10
Product preview saved with our daily selection
Capability scan
What it can help with.
Only capabilities supported by the product information we collected are listed here.
Research verified contacts
Searches a stated database of more than 300 million verified contacts and researches each contact.
Score and enrich target lists
Produces a scored list with emails, phone numbers, and answers to user-defined questions.
Provide answer sources
Includes sources behind each answer so users can check them.
Send results into sales workflows
Syncs with HubSpot, Pipedrive, and Attio, and works on LinkedIn and inside Claude.
Best-fit use cases
Building a prospect list from a plain-language ideal-customer description.
Qualifying contacts by asking questions relevant to a sales motion.
Reviewing sources behind contact research before acting on a list.
Syncing a scored target list with HubSpot, Pipedrive, or Attio.
FAQ
Before you open it.
How do users define the customers they want to find?
Users write who they are looking for in normal language.
What does Tables return for a target list?
It returns a scored list with emails, phone numbers, and the sources behind each answer.
How large is the contact database described in the listing?
The listing states that Tables goes through more than 300 million verified contacts.
Can users verify the research results?
Yes. Tables provides sources behind each answer so users can check them.
Which tools does Tables sync with?
The description names HubSpot, Pipedrive, and Attio. It also says Tables works on LinkedIn and inside Claude.