---
title: "Introducing the CatchIntent intent layer | CatchIntent"
url: https://catchintent.com/blog/introducing-the-intent-layer/
description: "We ran two products for nine months. Today we ship one. Here is why we unified, what changed, and what stays the same for existing customers."
---

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# Introducing the CatchIntent intent layer

 We ran two products for nine months. Today we ship one. Here is why we unified, what changed, and what stays the same for existing customers.

 ![Akash Rajpurohit](https://catchintent.com/static/images/akashrajpurohit.jpg) Akash Rajpurohit
 · May 13, 2026 · 6 min read
 ![Introducing the CatchIntent intent layer](https://catchintent.com/static/images/scenaries/scenary-001.png)

 CatchIntent is now one product: **the intent layer for B2B outbound**.

LinkedIn-first agents that find buyers showing real timing signals — job changes, funding rounds, hiring spikes, competitor engagement, category discussions. We score them, draft the openers, and hand them off so your team can act the same day.

This is what we should have been from day one. It took nine months and a hard look at who was getting value to admit it.

> Update — May 25, 2026: We followed this launch with a second pivot to an account-driven model. Discovery now organises around accounts (a ranked book of companies, with the why-now signal stack on each one and the real decision-makers attached), and the per-product config is called an Audience (Self / Fit / Path / Signals). The mental model is sharper; the spirit of this post is unchanged. See the v3.1.0 changelog and Core Concepts for the current model.

## What we were before

We launched with two surfaces.

The first was **Social Listening**: agents that scanned Reddit, Hacker News, and Bluesky for posts that looked like buying intent. “Looking for an alternative to Apollo.” “Anyone tried Lemlist?” That kind of thing.

The second was **LinkedIn Intelligence** (briefly called Agentic Search): agents that surfaced people on LinkedIn based on identity-rich signals like job changes, funding rounds, and hiring activity. Real names, real companies, real timing.

We thought of them as complementary. Reddit gave you the *intent*, LinkedIn gave you the *identity*. Bridge the two and you had a complete picture.

## Why we ran two products

Honestly, because we hadn’t pressure-tested the assumption.

Reddit and HN posts feel like high-intent because the words sound intent-rich. Someone asking “best AI SDR tool?” looks like a buyer. But Reddit is pseudonymous. The poster is `u/throwaway_dev_42`. You can’t email them. You can sometimes guess their company from post history. You almost never get to a LinkedIn profile, a name, and a role you can act on.

We told ourselves the workflow was: Reddit catches the intent, you cross-reference to LinkedIn, then you reach out. In practice, the cross-reference step rarely works at scale. Reddit anonymity is structural, not a fixable bug. We were selling a workflow that mostly didn’t connect.

LinkedIn signals were the opposite. They came pre-resolved. A new VP of Sales at a Series B SaaS — name, company, role, the date they started. An SDR can act on that before lunch.

## Why we unified

Three reasons stacked up over a few months:

**1. The work made the case for us.**

LinkedIn-sourced leads turned into pipeline at a rate that Reddit-sourced leads never approached. The Reddit signals weren’t bad as research, they were bad as the start of an outbound sequence. You can’t reach `u/throwaway_42` and you can’t quote them in an opener.

**2. The brand was confusing.**

“Social listening” and “LinkedIn intelligence” sound like two different products because they are. Buyers landing on the site couldn’t tell what we did. Sales conversations spent the first ten minutes triaging which surface they cared about. That’s a positioning failure.

**3. We were attracting the wrong buyers.**

Brand monitoring teams found us through the social listening framing. We are not built for brand monitoring, we are built for outbound. Every brand-monitoring trial that started and stalled out was a reminder that we were marketing to an audience we couldn’t serve well.

## What changed today

**Agents replace listeners.** One configuration owns your ICP, your signal mix, your brand voice, and your integrations. You set it up once, it runs every few hours, you get leads in the morning.

**Pricing is three lines.** Growth at $99/mo (1,000 leads/mo, 1 Product). Scale at $249/mo (4,000 leads/mo, 3 Products). Enterprise on a call. DFY from $1,999/mo for operator-led engagements. The old “Starter / Pro / Growth / Scale” four-tier ladder is gone, along with the separate Social Listening tier.

**LinkedIn is the only signal surface.** Every agent strategy — job changes, funding, hiring, competitor engagement, keyword discussions, ICP search — runs against LinkedIn data and Datahyena-sourced company events. X / Twitter, Reddit, HN, and Bluesky monitoring are all sunset for new buyers.

**MCP is on every plan.** Your agent (Claude, Cursor, Codex, any MCP client) can operate your leads, agents, outreach, and workspace through 27 typed tools. No add-on, no separate pricing.

**DFY is the headline commercial motion.** A dedicated operator runs the Product audit, sets up the Audience, tunes signal mix every week, and drafts every opener. You review the queue and send. Starts at $1,999/mo with a 3-month minimum.

## What stays the same

- **7-day trial with a card on file.** No free plan, no surprises on day eight.

- **MCP-native** — every tool, scope, and surface available to AI clients out of the box.

- **Founder reads every inbound.** Email [team@catchintent.com](mailto:team@catchintent.com) and you get a real reply, usually same day.

## If you were on the old Social Listening product

Your listeners and signals are preserved. Nothing was deleted, nothing was retroactively repriced. You can keep using them on your current plan for as long as you want.

What’s true is that new feature work happens on the agent surface. Bug fixes and infrastructure work still cover the legacy listeners, but you should not expect new strategies, new platforms, or new product surfaces in the legacy product.

Most legacy customers migrated voluntarily once they tried the agent product side-by-side. If you want a guided switch, reply to your last billing email and we’ll walk you through it.

## What’s next

The forward roadmap, in rough order:

- **Account-driven discovery.** Move from a flat lead queue to a ranked book of accounts, with the why-now signal stack and decision-makers attached to each. *(Shipped May 25 — see [v3.1.0 changelog](https://catchintent.com/changelog/?utm_source=marketing&utm_medium=blog&utm_campaign=introducing-the-intent-layer).)*

- **News signal — M&A, product launches, partnerships.** Adapter in build against our company-events provider.

- **Deeper CRM push.** HubSpot, Pipedrive, Close, Zoho already work. Richer field mapping and bi-directional sync coming.

- **Multi-step sequences tailored to each lead.** Not a generic cadence applied to everyone — each follow-up grounded in the specific signal and context that surfaced the lead, so the second and third touches sound like a real person noticing, not a templated nudge. *(The future Outreach Engine.)*

If you’ve been waiting for one of those, ping us. The order moves based on what actual customers ask for.

---

That’s the change. If you want to read the technical version of what shipped, the [v3.0.0 changelog](https://catchintent.com/changelog/?utm_source=marketing&utm_medium=blog&utm_campaign=introducing-the-intent-layer) has the full diff. If you want to try the new agent surface, [start a trial](https://app.catchintent.com/register?utm_source=catchintent.com&utm_medium=blog&utm_campaign=introducing-the-intent-layer).

If you want to push back on any of this, [email me](mailto:akash@catchintent.com). I read everything.

Keep reading

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 [May 30, 2026 · Akash Rajpurohit

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