> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getoneprofile.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# People posting about a topic

> Type the phrases people write about and get the people whose own LinkedIn posts carry them, one row per person, with their newest matching post.

Find people posting about a topic turns a phrase into a table of the people writing about it on LinkedIn. The count and the preview are free, and each person added costs credits.

<Frame caption="Find people posting about a topic, with one phrase typed and the posts counted.">
  <img src="https://mintcdn.com/oneprofile/qy5CbBb9JT_iGvnw/images/find-leads/people-posting.png?fit=max&auto=format&n=qy5CbBb9JT_iGvnw&q=85&s=0735e0b8c2f24a5db330f7179e7b489c" alt="The Find people posting about a topic page, with the Phrases group open on the left showing revenue operations typed, the Posts group open below it with Posted in set to Past month and Minimum reactions empty, and a Preview pane on the right reading 1,042 posts match, 0.7 credits a row, beside a Preview a sample button." width="980" height="580" data-path="images/find-leads/people-posting.png" />
</Frame>

## Build a search

Open [Find people posting about a topic](https://app.getoneprofile.ai/find-leads/people-posting) and type a phrase a post should carry, such as revenue operations. Add more phrases as alternatives, since a post with any one of them counts.

Add phrases to exclude, and a post carrying any of them is left out. To skip quiet posts, set the fewest reactions a post needs.

**Posted in** reads posts from the past month by default. Pick the past week, quarter or year, or any time.

The count is of matching posts, not people. One person can write several, so the table has fewer rows than the count.

## Preview and save the people

Click **Preview a sample** to see a few of the authors, each with their post and its date. Click **Continue**, then choose **Save to a new table** or **Save to an existing table**. The panel on the next step shows the price before anything is added.

Each row carries the person's name and LinkedIn URL. Beside them sits their newest matching post, with its text, link, date, reactions and comments. A **Headline** column is added only when an author wrote one, which few do.

**Matching posts** counts their posts that matched, with up to 25 links under **Matching post URLs**. **Posts on LinkedIn** is the post count LinkedIn shows for them.

## Good to know

<AccordionGroup>
  <Accordion title="How are phrases matched?">
    Each phrase is matched whole and in order, in what the person wrote. Revenue operations finds a post about revenue operations and not one about operations revenue.

    Punctuation between the words does not break a match. Add up to 20 phrases to include and 20 to exclude.
  </Accordion>

  <Accordion title="Why does the table have fewer rows than the count?">
    The count is posts. A person with three matching posts is one row, with the newest post on it and all three links under **Matching post URLs**.
  </Accordion>

  <Accordion title="Why does the past week find so few posts?">
    Posts reach this search about a week after they go up. For recent writing, keep **Posted in** at the past month or longer.
  </Accordion>

  <Accordion title="Does a saved search keep reading new posts?">
    Yes. **Posted in** counts back from the day the search runs, never from a fixed date. A saved or scheduled search reads the latest posts each time.
  </Accordion>

  <Accordion title="What happens when the search runs again into the same table?">
    It reads only the posts that reached this search since the last finished run began, and adds the people who wrote them. After you change the search or ask for more people, the next run reads the whole **Posted in** window again.

    A person already in the table is updated with their newest matching posts rather than added twice. Run it again by hand or on a schedule. See [Saved searches](/find-leads/saved-searches).
  </Accordion>

  <Accordion title="Why is there no Headline column?">
    It holds what an author wrote under their name when the post was read. Few write one, so the column is added only when a row has one. Tick **Read LinkedIn profile** to fill in their job title and employer.
  </Accordion>

  <Accordion title="Can I enrich the people?">
    Yes, and it is optional. **Find phone number** and **Read LinkedIn profile** work on these rows, because they start from the LinkedIn URL. **Find work email** and **Enrich company** are not offered, since they need a company and a post does not give one. See [Choose what to enrich](/find-leads/choose-what-to-enrich).
  </Accordion>

  <Accordion title="Does it find people who reacted to or commented on a post?">
    No. It reads what people wrote in their own posts, never what they liked or commented on. For people commenting under other posts, use the **LinkedIn comments by a person** signal under **More ways to find leads**.
  </Accordion>

  <Accordion title="What do I pay for?">
    Only the people added to the table, at the price the panel shows before you create it. The count and the preview are free. Each enrichment you tick has its own price.
  </Accordion>

  <Accordion title="Can the AI Assistant run this search?">
    Yes, and so can [AI apps](/integrations/ai-apps). Ask for the people posting about a phrase. Counting is free, and the card names the price before any rows are added.
  </Accordion>
</AccordionGroup>

## Next steps

<CardGroup cols={2}>
  <Card title="Choose what to enrich" icon="sparkles" href="/find-leads/choose-what-to-enrich">
    Pick the details to fill in before the rows are added.
  </Card>

  <Card title="Saved searches" icon="bookmark" href="/find-leads/saved-searches">
    Save the search, or run it again on a schedule.
  </Card>
</CardGroup>


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.