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Wabi Raises $55M to Build Mini Apps Inside a Group Chat

Wabi, the shared AI messenger from Replika founder Eugenia Kuyda, raised $55M at a $1.25B valuation to ship mini apps its agent builds on demand.

Stefan Trbojevic

Stefan Trbojevic

29 October 20263 min read
LinkedIn
Abstract teal routing hub with modular fragments radiating along light lines

The takeaway

Wabi's round prices in a shift from fixed app surfaces to agent-generated mini tools - which moves the builder's real work to the tool layer, data model, permissions and shared context.

Why it matters for builders

If agents compose a small tool per task, screens stop being the product. Invest in composable actions, clean data models, permissioning and shared context - and expose them so any agent can assemble the UI.

Wabi Raises $55M to Build Mini Apps Inside a Group Chat

Wabi, the personal AI agent built by Replika founder Eugenia Kuyda, has raised $55 million at a $1.25 billion valuation, the company announced on Thursday. IVP led the round, with Andreessen Horowitz, Forerunner, the Amazon Alexa Fund and a long list of angels joining.

The money is not going into a bigger chatbot. It is going into an agent that writes its own interfaces.

What Wabi actually ships

Wabi started life as a prompt-to-app builder. In September it pivoted to a messenger, and the current product combines an AI agent, personalized mini-apps, and shared spaces where several people work with the same agent.

The mini-apps are the interesting part. A couple keeps a running list of restaurants to try and checks them off together. A family turns a weekly meal plan into a grocery list. A book club gets a tracker, a group of friends gets a trivia game for a birthday. Each tool can be reopened and adapted later, so it behaves less like a one-off chat answer and more like a persistent artifact.

Why investors paid up

The round values a company that only recently opened its product publicly, and the cap table reads like a consumer-AI endorsement: Shopify's Tobi Lütke, Salesforce's Marc Benioff, Marissa Mayer, Dick Costolo and Alex Pall all put money in.

"AI shouldn't just save people time. It should help them spend it better, doing more of what they love, with the people they love," Kuyda said. IVP's Alex Lim framed the bet as moving past the interface itself, arguing that Kuyda has "a clear vision for how people will interact with AI, one that goes far beyond the text box or command line."

The comparison set explains the price. Instinct reportedly hit a $10 billion valuation in September and Tolan raised $30 million. Investors are paying for distribution and habit in consumer agents, not benchmark scores.

Three translucent modular interface panels floating in a row, lit from behind in teal

What it means for builders

For anyone shipping AI automation, Wabi points at a shift worth watching: the interface is becoming a generated object rather than a fixed product surface.

That changes what a builder's real deliverable is. If the agent can compose a small tool per task, the durable assets are the tool layer, the data model, the permission rules and the shared context - not the screens. Teams that treat prompts as the product will find the UI evaporating around them; teams that expose clean, composable actions to an agent inherit the UI for free.

Multiplayer agents also drag in a problem single-user assistants dodge: when three people share one agent and one generated tool, whose memory applies, who can edit the plan, and what gets logged? Wabi's shared spaces are a permissions model wearing a consumer-friendly face.

The open questions

Retention is the one to watch. Generated mini-apps are easy to make and easy to abandon, and a $1.25 billion valuation prices in the assumption that people come back the next week, not just the day the tool was made. Monetization is unstated, and the strategic risk is the usual one: when the assistant becomes the surface, whoever owns the underlying models sets the terms.

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Editorial notes

Reported by

Stefan Trbojevic

Edited by

n8n Lab Editorial

Published

29 October 2026

Updated

29 October 2026

AI disclosure: AI assisted with research and drafting. Factual claims are reviewed by an editor.

n8n Lab is an independent service provider. We are not affiliated with, endorsed by, or sponsored by n8n GmbH. “n8n” is a trademark of n8n GmbH and is used here only to describe the platform-specific implementation and automation services we provide.