# Find small products like a given one as tuck-in candidates

> Up to ten smaller products with observed revenue closest to a product you name, without names.

**Who asks:** PE investor looking for add-on acquisitions

## Example

**Question:** Find small products like senja.io with observed revenue: candidates for a tuck-in acquisition.

**Megido calls:**

- `lookup_domain`: 1 found
- `search_projects`: 10 projects

**Answer:**

Six are testimonial and review-collection tools: three at 15k–75k visits a month in the United States and three smaller ones in India and Indonesia. Two more collect customer feedback in other ways: a video messaging tool with testimonial collection and an NPS survey tool. The other two are only loosely related. Names come with a reveal.

Real data from the corpus, as of August 2026.

## How your agent answers

1. `lookup_domain` found the product.
2. `search_projects` returned the closest smaller products, without names.

## Where it stops

Scale is a domain's traffic, not company size, and Megido knows nothing about owners, investors or revenue. Countries are where a site's traffic comes from, not where the company is.

## Ask your agent

```text
Find small products like [domain] with observed revenue: candidates for a tuck-in acquisition.
```