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Replika founder Eugenia Kuyda is betting people want personal software without building it themselves. Shared access to connected information is central to the pitch.
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Wabi is reorganizing personal AI around task-specific threads that can hold both conversations and agent-made apps, including chats shared with other people. Connecting email can seed an initial set of threads and apps, while users can ask for more without building them themselves. The approach positions Wabi as a shared, context-aware assistant rather than a prompt-to-app tool; its longer-term business model remains undecided, and founder Eugenia Kuyda says the company is discussing a fundraise, not announcing a completed round.
Users can choose whether each shared chat may access their email, calendar or bank details; participants are shown when someone’s information is requested.
Kuyda demonstrated shared threads for household and relationship planning, including calendars, restaurant suggestions, children’s events and Japanese quizzes.
Wabi runs in the cloud, stores most user data in the United States and is SOC 2 compliant, according to TechCrunch.
Wabi’s bet is that people want custom software without becoming app builders. On October 19, the startup founded by former Replika CEO Eugenia Kuyda opened its personal AI assistant to all users. It combines shareable task conversations with apps the agent creates—a shift from asking people to make software themselves.
The launch follows an earlier version of Wabi built around creating mini apps with prompts and sharing them with friends. Kuyda told TechCrunch that the team learned people liked personal software but did not necessarily want to spend time building it. She calls the change an evolution rather than a pivot.
In Wabi 2.0, the agent decides which apps to build. Connecting an email account automatically creates an initial set of threads and apps, according to Kuyda. Users can then request custom apps or start new conversations. That makes app creation part of the assistant’s work, rather than a separate project the user must begin.
Wabi organizes those tools into separate threads for tasks and long-term goals. A health conversation can contain a weight-loss tracker; a family conversation can hold an app for nearby children’s events. The interface works like a messenger, but the conversation is also a place to keep using the software the agent makes.
Single thread experiences, if you think about it, get worse over time because it’s just so much context in one endless conversation.
Eugenia Kuyda, speaking to TechCrunch
Kuyda’s other bet is that an assistant should bring people into the same conversation, rather than leave each person working separately with an AI. Wabi’s threads can be shared as group chats. Her examples focus on ongoing relationships and household coordination, not just one-off requests to an agent.
During a walkthrough for TechCrunch, Kuyda showed how she uses shared threads with her boyfriend and family. A row of apps sits above the conversation, keeping several tools available within the same chat. The examples included:
The shared design extends beyond apps. Kuyda said users can choose how much connected information to share within a chat, including email, calendar information and bank account details. Her example: a partner could ask whether she is free next Thursday or whether she bought tickets, rather than asking her directly.
Access is scoped to individual chats, and everyone in a chat can see when someone’s personal information is requested, Kuyda said. Those are the boundaries she described for an assistant that answers questions using information belonging to different participants.
Wabi runs entirely in the cloud, with most user data stored in the United States, Kuyda said. The company is SOC 2 compliant, TechCrunch reported, meaning its data security controls have been independently audited.
Access is free for now, but Wabi has not settled on a business model. Kuyda also said the company is in talks to raise more money. Those talks are not a completed financing round, and the current free offering does not establish what Wabi will eventually charge.
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Wabi CEO @ekuyda predicts the next big consumer AI platform will be multiplayer, not another personal AI agent: "Today most AI products are single player, and you could argue they don’t have much of a moat. They don’t have switching costs. It was pretty easy to move between Claude and ChatGPT, but at least they had some memory about me." "With these single player agents, it’s so easy to jump between them because all the context is in my Gmail." "In a year, one of the biggest consumer AI platforms will be multiplayer and will have network effects in it. Right now we just sort of agree that single player is the way to go for most AI products." "A year from now we’ll look back at it as the...
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