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Enter Pro

by Converge AI ·Singapore, Singapore

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Page last updated
28 August 2026
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About Enter Pro

Enter Pro is the software-building layer of Converge AI. It combines natural-language development, application infrastructure and AI agent deployment in one browser-based workspace. Teams can plan a project, generate and edit its code, connect data and authentication, preview changes, publish the result and continue maintaining it after launch. The platform is intended for websites, web applications, internal tools, portals, workflows and custom AI agents. Enter Pro launched on Product Hunt on August 27, 2026.

What can teams build with Enter Pro?

Enter Pro generates React and Tailwind-based projects from plain-language requirements. Its official materials describe support for websites, SaaS products, dashboards, marketplaces, internal tools and progressive web applications. Built-in services cover databases, authentication, file storage, serverless functions, scheduled jobs, secrets, hosting, payments, analytics and localization.

The platform is positioned beyond quick interface generation. Teams can import a GitHub repository, work with existing code, review changes, keep version history and deploy to a live URL or custom domain. Source code can also be downloaded for an engineering handoff.

How does collaboration work?

Enter Pro supports shared workspaces with member and project management. The company states that Pro workspaces support up to 20 members with role-based access control. Several agent sessions can work on the same project in parallel, while built-in logs and version history record changes. Users can compare versions, bookmark milestones and restore earlier code together with the related conversation state.

Converge AI says its own product, design and operations teams use Enter Pro to maintain its content system, community forum, internal administration tools and landing pages. These examples are company-reported case studies rather than independent performance tests.

What is Enter Pro Agent Builder?

Agent Builder turns a written job description into a deployable AI agent. A team can test the agent in a live preview and publish it through a shareable link, inside a web product, in Slack or Lark, or through an SDK or embed. Enter Pro manages the selected models, knowledge, tools, deployment and versioning behind the agent.

This is useful when a recurring process requires more than a chat response, such as answering support questions, summarizing feedback, researching accounts or preparing internal updates. Buyers should still define approval points and access limits before an agent can change business data or communicate externally.

Which AI models and development tools are available?

Enter Pro advertises access to models from providers including OpenAI, Anthropic, Google and DeepSeek. Model availability can change, so teams should confirm the current plan and regional availability before choosing the platform for a model-specific workflow.

The product also includes Enter Code for terminal-based development and an Enter CLI for working with projects through an AI assistant. Official documentation describes code export, automated checkpoints and the ability to publish projects or attach domains through the same Enter Pro account.

How much does Enter Pro cost?

Pricing checked on August 28, 2026. Enter Pro's published materials describe a free allocation of 100 daily credits for initial building and testing. Starter is listed at $5 per month with 1,000 build credits and custom-domain support. Pro is listed at $35 per month with 2,000 build credits and broader model access.

Credit consumption depends on the model and complexity of the requested work. Buyers should check the live pricing page for current allowances, collaboration limits, infrastructure charges and any difference between monthly and annual billing. Hosting, database usage and third-party services may also introduce costs beyond the platform subscription as an application grows.

Who worked on Enter Pro?

Product Hunt lists two members of the Enter Pro launch team. Zhongsheng Ji is described as an AI engineer building agents. Eric Zhang is listed in marketing at Converge AI and wrote the maker's launch explanation.

Rohan Chaubey is identified separately as the hunter who introduced the product to the Product Hunt community. A hunter is not automatically a founder, employee or product contributor, so BrandLigo does not include him as part of the company team.

How does Enter Pro compare with other AI app builders?

Enter Pro competes with products such as Lovable, Base44, Replit and bolt.new. Its stated distinction is the combination of application building, production services, agent deployment and the wider Converge AI product family. The shared context layer is intended to connect building work with operations, creative and growth tools.

The practical comparison depends on the project. Teams should test code quality, debugging, version control, data portability, custom-domain behavior, database limits, collaboration controls and the effort required when generated code needs manual engineering.

Who should choose something else?

A conventional no-code builder may suit teams that prefer a visual editor, established plug-in marketplace and predictable component system. An AI coding editor may be better for experienced developers who want direct control over an existing repository and infrastructure. A managed agency or internal engineering team remains a safer choice for highly regulated systems, unusual architecture or applications requiring formal security review.

Enter Pro is most relevant when a team wants to move from an idea to a deployed business application without assembling separate tools for every common backend service. It should first be tested on a limited project, with code export, data ownership, recovery and ongoing usage costs reviewed before the platform becomes responsible for a critical workflow.

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