8 Best Koala Alternatives in 2026 (After the Shutdown)

Koala is no longer an option. Cursor acquired the company in July 2025 for its enterprise AI coding talent, and Koala's product was shut down on September 30, 2025. If you were running Koala for website visitor identification and product usage scoring, you need a replacement now, not a nice-to-have upgrade. This guide covers eight real alternatives, including where each is stronger, where it's weaker, and what kind of team it actually fits.

Koala Alternatives at a Glance

What Koala Used to Do (and the Gap It Leaves)

Koala's core job was watching a company's website and product for identifiable visitors and usage events, then turning that activity into scored leads and accounts routed to reps in Slack or a CRM. For a company with self-serve signup, a freemium tier, or rich product telemetry, that was real value. It told you who was already kicking the tires.

Koala's own limits, even before the shutdown, showed up in two places. First, its signal depended entirely on people already showing up on a site or in a product; a buyer who hadn't visited yet was invisible to it. Second, setup and value scaled with how much first-party usage data a company actually generated, which made it a weaker fit for services businesses, agencies, and B2B companies without a real self-serve or freemium motion.

That first limitation matters more than it sounds, shutdown aside. The 95/5 rule, popularized by Ehrenberg-Bass and the LinkedIn B2B Institute, holds that only around 5 percent of B2B buyers are actively in-market at any given moment. Website and product visit data can only ever tell you about people already circling a product. It has nothing to say about the other 95 percent of a total addressable market who aren't there yet, which is exactly the gap that broader market and buying intent signals are built to cover.

1. Warmly

Warmly identifies anonymous website visitors, enriches them with firmographic and contact data, and layers in AI agents that can trigger outbound sequences or even live chat the moment a warm visitor shows up. It leans hard into orchestration: once a visitor is identified, Warmly can kick off a Slack alert, an email sequence, or a booked meeting flow automatically.

It's a strong pick for teams that want visitor identification plus built-in automation in one tool, rather than stitching a deanonymization tool to a separate outbound platform. The tradeoff is the same limitation Koala had: Warmly still needs someone on your site before it has anything to work with.

Best for: teams that want visitor identification and automated outbound orchestration bundled together.

2. Clearbit (Breeze Intent by HubSpot)

Clearbit was one of the original company and contact enrichment platforms, and it's now folded into HubSpot's data stack under the Breeze Intent and Breeze Prospecting branding following HubSpot's acquisition. It still does firmographic enrichment and intent scoring, and it plugs directly into HubSpot's CRM and marketing tools.

The catch is that it's increasingly sold as part of the HubSpot ecosystem rather than a standalone product the way it used to be. If you're already deep in HubSpot, that's a plus. If you're not, buying into Breeze Intent means buying into HubSpot's broader platform, which is a heavier lift than picking a point solution.

Best for: teams already standardized on HubSpot who want enrichment and intent scoring inside the same platform.

3. RB2B

RB2B built its reputation on doing one thing cheaply and well: identifying individual, named visitors to your website (not just their company) and pushing them to Slack in near real time. It's popular with smaller teams and solo founders who want visitor identification without a long sales cycle to buy it.

It was narrower than Koala by design, and it's still narrower than the surviving warehouse-native tools. RB2B doesn't score product usage, doesn't build the kind of lead scoring models Correlated does, and it's purely visitor-focused. For teams that just want "who looked at my pricing page today," it's often enough on its own.

Best for: early-stage or budget-conscious teams that want simple, fast, person-level visitor identification.

4. Correlated

Correlated takes a warehouse-native approach: it sits on top of your existing data warehouse (Snowflake, BigQuery, and similar) and helps revenue teams build product-qualified lead (PQL) models directly from usage data, without needing an engineering team to hand-roll scoring logic.

This is a good fit if you already have product events flowing into a warehouse and a data team that can maintain the pipeline. It's a poor fit if you don't, since the whole value proposition assumes warehouse infrastructure most early-stage companies haven't built yet.

Best for: data-mature PLG companies that already pipe product usage into a warehouse.

5. Endgame

Endgame positions itself around "signal-based selling" for PLG companies, combining product usage signals with competitive intelligence, like when a prospect account is evaluating or already using a competitor's tool. It's built specifically for sales teams layered on top of a product-led motion, helping reps prioritize accounts showing real usage momentum.

Like Correlated, it depends on having meaningful product telemetry to draw from. Endgame is less useful for companies without an existing self-serve product generating that usage data in the first place.

Best for: PLG sales teams that want usage signals combined with competitive-displacement intelligence.

6. Pocus

Pocus is a go-to-market platform built around turning product and usage signals into pipeline, with lead scoring, account prioritization, and workflow automation aimed at PLG sales and customer success teams. It's warehouse-native like Correlated and leans on the same assumption: you need usage data flowing in before Pocus has much to prioritize.

Where Pocus differentiates is workflow, it's built to be the operating layer reps live in day to day, not just a scoring engine bolted onto a CRM.

Best for: PLG revenue teams that want a dedicated workflow layer built around product signals, not just a scoring model.

7. Common Room

Common Room started as a community intelligence tool and has expanded into a broader "customer intelligence" platform that blends community activity (Slack, Discord, GitHub, forums), product usage, and website and firmographic intent signals into one system. It's the broadest of the PLG-adjacent tools here, which is both its strength and its complexity cost.

It's a strong fit for companies with an active developer or user community where community engagement is a real leading indicator of intent. For companies without that kind of community, a lot of Common Room's differentiation goes unused.

Best for: companies with an active product community where community activity is a meaningful buying signal.

8. Satellyte

Satellyte is a different category from everything else on this list, and it's worth being upfront about that before going further. Satellyte does not do website visitor identification and it does not track product usage. It has no idea who's on your site or clicking around inside your app. What it does is monitor the open web for buying signals on the accounts and people you're targeting, whether or not they've ever visited your site.

Specifically, Satellyte tracks six signal types across 100+ public web sources per vertical, 24/7, with no account connections required since it only reads public data: Tech Stack Change, Funding, Hiring, Social Engagement on LinkedIn, X, and Threads, News Events, and Technology List. A funding announcement, a burst of relevant hiring, or a company swapping tech vendors are all signals a rep can act on in an outbound sequence, independent of whether that company has ever landed on your homepage.

Satellyte dashboard showing the six open-web signal types monitored across public sources for a target account list

That distinction matters for pricing conversations too. Cold outbound starts from a low bar: the average cold email reply rate sits around 3.43 percent, per Instantly's 2026 cold email benchmark report. Messages that reference a specific, timely signal instead of generic personalization report reply rates in the 15 to 25 percent range, based on aggregated data from Autobound. Signal-based outbound isn't a nice-to-have layered on top of a list, it's what turns a cold list into something closer to warm.

Satellyte runs on multi-source enrichment, and credits only deduct when a signal is actually verified, not on every lookup attempt. Plans start from $99 a month, billed monthly with no contract, and the free trial includes 1,000 credits, roughly enough for 500 or more enriched warm leads. It's built for B2B founders, revenue teams, and agencies running outbound, not for product teams trying to score inbound self-serve signups.

Best for: outbound-driven revenue teams, founders, and agencies that need open-web buying signals on accounts, not visitor identification or product usage data.

How to Choose a Koala Replacement

You have real product usage data and a self-serve or freemium motion. Correlated, Pocus, or Endgame will get more value out of that telemetry than a general-purpose tool will.

You want visitor identification without much setup. RB2B or Warmly get you person-level website visitor data quickly, with Warmly adding more built-in automation on top.

You're already committed to HubSpot. Clearbit's Breeze Intent branding makes the most sense as part of that existing stack rather than as a standalone purchase.

You have an active product community. Common Room's blend of community and product signals is wasted on companies without meaningful Slack, Discord, or forum activity to draw from.

Your pipeline problem starts before the website visit. If your buyers aren't showing up on your site or in a trial because they don't know you exist yet, a visitor-identification tool has nothing to identify. That's a case for open-web signals like Satellyte's, layered onto outbound rather than inbound.

You run more than one motion. A lot of teams end up running a visitor-ID tool for inbound alongside an open-web signal tool for outbound. They're not competing for the same job.

FAQ

What happened to Koala? Cursor, the AI coding company, acquired Koala in July 2025 to build out its own enterprise readiness team. Koala's engineers joined Cursor, but its CRM and signal product was not integrated into Cursor's roadmap, and Koala shut down on September 30, 2025. Existing Koala customers need a replacement, not an upgrade.

Why would a company look for a Koala alternative in 2026? As of the shutdown, it's not optional: Koala no longer exists as a product. Former customers are migrating to a mix of visitor-ID tools (RB2B, Warmly), warehouse-native PQL platforms (Correlated, Pocus), or a signal-detection layer like Satellyte, depending on which part of Koala's job mattered most to their pipeline.

Is RB2B a one-to-one replacement for Koala? Not exactly. RB2B focuses narrowly on person-level website visitor identification. It doesn't build the product usage scoring models Koala or Correlated did, so it covers a smaller slice of what Koala offered.

Do warehouse-native tools like Correlated and Pocus need an existing data stack? Yes. Both assume product events are already flowing into a data warehouse like Snowflake or BigQuery. Without that infrastructure and a team to maintain it, neither tool has much to work with.

Does Satellyte replace what Koala did? No, and it isn't trying to. Satellyte doesn't do website visitor identification or product usage tracking. It detects open-web signals like funding, hiring, tech stack changes, and social activity on accounts, whether or not they've ever visited your site. It's a complementary layer for outbound, not a direct Koala replacement.

Can I combine a visitor-identification tool with an open-web signal tool? Yes. RB2B, Warmly, and similar tools tell you who's already engaging with your site or product. Satellyte tells you about market-level triggers on accounts that haven't engaged yet. Running both covers inbound and outbound at the same time, which is common for teams with a blended motion, and is roughly the setup a former Koala-plus-outbound-tool stack would evolve into.

If your pipeline gap sits upstream of your website, meaning accounts that have never visited because they don't know you exist yet, that's a signal-detection problem, not a visitor-identification problem. Satellyte plans start at $99 a month with no contract, and the trial includes 1,000 free credits. Compare plans on the pricing page.

For more on related tool categories, see our breakdowns of visitor identification tools, buying intent signal tools, and warm lead tools for B2B founders.

Sources

• Cursor snaps up enterprise startup Koala in challenge to GitHub Copilot, TechCrunch
• The 95/5 Rule, Ehrenberg-Bass Institute via LinkedIn B2B Institute
• Instantly 2026 Cold Email Benchmark Report