# ReacherX vs Clay: find people or build a research workflow?

Understand the different starting points, the AI features both offer, and when each approach makes sense.

By Salman · 2026-09-05 · comparisons

Canonical: https://reacherx.com/blog/reacherx-vs-clay

Say you want to find five people to interview about how they manage client feedback. You need relevant people, a reason to contact each one, and a place to continue the conversation.

Now say you want to research every company in a large account list using several data sources, score the results, and feed that information into your sales tools.

Those jobs overlap, but they lead to different product choices. ReacherX starts with finding and reaching people. Clay gives you a broad environment for building research and sales workflows.

## You can describe a task in either product

The [Claygent Builder](https://university.clay.com/docs/claygent-builder) lets you build agents conversationally, add business context, test them, and reuse them across workflows.

Its [Claygent documentation](https://www.clay.com/claygent) also describes account agents with persistent context and visibility into runs, errors, and spending.

The difference to examine is where your instructions lead. In Clay, you can turn research into structured outputs across tables, audiences, and workflows. In ReacherX, you work with the people found for your workspace and the next steps in approaching them.

## Walk through one small search

For the interview search, you could tell ReacherX:

> Find freelance designers who have talked about losing client feedback across tools. I want to invite them to a 20-minute research interview. Don't pitch the product.

Review the proposed audience, then read the people and evidence it finds. Ask for a plan for someone suitable. Save the “don't pitch” instruction so later drafts can use it. Open their supported X/Twitter or LinkedIn conversation in the app when you're ready to talk.

You don't have to choose a data provider for every field or design a sequence of research operations to use that hosted workflow. ReacherX handles those implementation choices behind the scenes. You still have to judge the matches and give it useful direction.

## Compare the work you want to own

| Your need                                                     | What to evaluate                                                                  |
| ------------------------------------------------------------- | --------------------------------------------------------------------------------- |
| A few relevant interviews, candidates, or partners            | ReacherX's setup, use cases, profiles, and conversation workflow                  |
| Custom research across many business records                  | Clay's agents, tables, audiences, and data integrations                           |
| Ongoing instructions for one workspace                        | ReacherX workspace memory; Clay's business context and account-agent capabilities |
| Direct work in supported X/Twitter and LinkedIn conversations | ReacherX's messaging experience and platform limits                               |
| An application your developers can modify                     | ReacherX's open-source repository and self-hosting requirements                   |

Clay's [AI guide](https://university.clay.com/docs/ai-in-clay) explains its different AI tools. Read it if you need to choose between conversational table building, research agents, and content generation. That flexibility may be exactly what your team wants.

## ReacherX trades scope for a simpler everyday job

I'm building ReacherX for someone who can explain whom they need but doesn't want to become a specialist in data enrichment or sales automation. It supports different purposes in separate workspaces and brings the research, plan, and conversation together.

It also has tradeoffs. It is beta, its supported services are narrower, and it doesn't replace every workflow you can build in Clay. If your existing process depends on particular data providers or downstream integrations, check those first.

Try a real goal of your own in each tool. Look at the results, the amount of setup, and what happens when your first instruction is wrong. Can you correct it and understand the next result?

Compare [Clay pricing](https://www.clay.com/pricing) and [ReacherX pricing](/pricing) for your usage. I build ReacherX, and the Clay pages above were checked September 10, 2026, and I haven't benchmarked either product.