- Specialization
- Not classified
- Business
- Software Applications
- Market
Cross Industryand 1 more market valuesLess
- Software Development
- Ecosystem
- Applications
- Customers
Enterprisesand 1 more customers valuesLess
- Developers
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Cross Industry, Software Development
- Customers
- Enterprises, Developers
- Delivery models
- Hosted Software
- Revenue models
- Subscription, Usage Based
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Vybe builds an AI platform for creating secure, data-connected internal software and AI coworkers. It sells to company operators and engineers, differentiating through plain-language app creation combined with production integrations, SSO, access controls, and Git-based engineering foundations.
Market
Vybe competes in the AI-powered application-building, internal-tools, and enterprise no-code/low-code software market. It positions itself as a “Lovable for internal apps,” combining natural-language AI development with prebuilt integrations, SSO, databases, security controls, and one-click deployment—features intended to address the data, authentication, and security limitations of general-purpose vibe-coding platforms. Its competitors therefore include both AI app builders such as Lovable, Replit, and Bolt and established or adjacent platforms such as Retool and the broader vibe-coding offerings from Google, Canva, and Figma.
Vybe targets companies and internal teams that need custom tools but lack the time or desire to build them from scratch. Its primary users include semi-technical operations teams, engineering teams, business analysts, founders, and managers who need dashboards, workflows, admin panels, reporting tools, or CRM interfaces.
At a Glance
Problem
Vybe addresses the internal-tools bottleneck inside companies: operations, product, RevOps, HR, and other nontechnical teams often need purpose-built software connected to company data, but must wait for engineering resources or settle for disconnected spreadsheets and generic tools. The pain combines delay, security concerns, and an opportunity cost: teams cannot quickly operationalize the workflows they understand best, while engineering time is consumed building one-off internal applications.
The clearest use case is running operational functions through custom internal software. One CEO reported that using Vybe for the company’s entire customer-success operation saved roughly two days per week, while another team used millions of warehouse rows to create BI-like internal views. These examples suggest the product’s economic value comes from reducing manual work and shortening the time between an operational need and a usable tool.
Product / Service
Vybe is a natural-language platform for building secure, production-grade internal applications without engineering time. A user describes what they want, and Vybe generates the software; users can also remix templates based on experienced operators’ best practices. The platform is designed to connect applications to real company data rather than produce isolated prototypes.
Its delivery model combines prebuilt integrations such as Gmail, Google Calendar, GitHub, and Jira with SSO and AI capabilities including web search and summarization. Vybe positions these apps, AI coworkers, existing business systems, and shared context as components of an AI-native company operating system, allowing teams to start with one workflow and expand from there. The benefit is faster, more secure, and more collaborative delivery of internal tools by the people who need them.
Market
Vybe competes in the emerging market for AI-assisted internal-app builders, enterprise workflow software, and “vibe coding” platforms. The company describes itself as “Lovable for internal apps,” making Lovable the clearest named comparator in the available evidence, while Vybe differentiates around company data, integrations, security, collaboration, and internal operational use cases rather than general-purpose application creation.
The company entered the market through a closed waitlist, reporting more than 1,000 sign-ups and hands-on onboarding of more than a dozen teams testing production-grade applications. It also announced a $10 million seed round led by First Round Capital, with backing from Y Combinator and more than 50 operators. Vybe has published paid plans ranging from $99 to $1,999 per month plus enterprise pricing, but the available evidence does not disclose revenue or paying-customer figures, so its commercial traction is best characterized as early and validated by pilots and waitlist demand rather than as proven revenue scale.
Founders & Leadership
Funding History
First Round Capital
Recent News
Vybe’s September 14 changelog introduced visual file inspection for agents, artifacts in general chat, a connections page, and new GPT Image and DeepSeek models. It also made images generated in Slack appear as standalone messages.
On August 31, 2026, Vybe released version 1.18.0. The update added webhook-triggered agent runs, introduced the GLM 5.3 Flash model, and included improvements to chat and delayed-run visibility.
Vybe’s comparison article names Vybe the best overall vibe-coding tool, emphasizing that its AI agents keep apps running beyond a one-time build.
Business Insider reported that Vybe raised $10 million to bring vibe coding into larger companies. First Round Capital led the seed round, with participation from Y Combinator and technology executives; the funding was intended partly for engineering hiring.
Active Roles
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Get notified when they postBusiness Model
Vybe uses a credit-based SaaS pricing model: customers receive credits through monthly plans, beginning with a 7-day free trial and plans priced at $99, $499, and $1,999 per month. Customers can also top up credits at $0.01 per credit, with enterprise pricing available on request.