Softr VS LoopCode by Heksync

Softr's answer

We launched Softr with a single vision: to give 1 billion business users the ability to build the tools they need — without relying on developers, without learning to code.

Softr is now powering over 1 million builders worldwide - including companies like Netflix, Google, Stripe, UPS, and Clay, who build and run the systems that power their business operations.

We’re a fully remote, distributed, and diverse team of curious, ambitious, and driven individuals.

LoopCode by Heksync's answer:

LoopCode is a product of Heksync, built around a practical goal: help people move from an idea or development task to working software they can inspect and verify. The product brings together the steps that software development requires—understanding the project, planning changes, editing code, running checks, and reviewing the result. Its desktop, terminal, and VS Code interfaces make that workflow accessible in different development environments. Our direction is to make capable AI-assisted software development more accessible, with transparent workflows, flexible model access, and continued improvements driven by real development tasks.

Softr's answer

Many app builders or out-of-the-box tools are either too rigid, too expensive, or fall apart the moment real users and real data are involved. Softr is different because it's built for actual business use from day one.

Describe what you need, and the AI Co-Builder generates a fully functional app — database, logic, and UI already connected. No generated code to debug, no developer needed to make it production-ready.

From there, you stay in control: customize through prompting or visual editing, manage data in Softr Databases or connect to existing tools, set up granular permissions, and connect to Softr MCP. As your business grows, your portal grows with it — without starting over or calling in a developer.

LoopCode by Heksync's answer:

LoopCode brings codebase understanding, implementation, verification, and review into one coding workflow across desktop, the terminal, and VS Code. It works with existing projects: inspecting relevant files, using language-server intelligence, making changes across files, running commands and tests, and presenting the results for review. Its agent engine includes configurable approvals, recoverable conversation history, edit checkpoints, and context management designed for token efficiency. LoopCode follows a local-first architecture for workspace operations. When using hosted models, prompts and relevant code context are sent to the configured service.

Softr's answer

Over 1 million teams use Softr to build and run business operations apps: - Netflix - Google - Stripe - UPS - MIT - Clay - Celonis - Make

LoopCode by Heksync's answer:

Use this until you have customer names approved for publication: - Customer names are not publicly disclosed at this stage.

Softr's answer

Unlike pure vibe coding platforms, Softr puts a clear boundary around what AI can generate. Business teams can customize the UI, without asking an LLM to generate or manage the security model, backend, credentials, or infrastructure.

LoopCode by Heksync's answer:

Choose LoopCode if you want an AI coding agent that can work through a development task while keeping its actions visible and reviewable. You can inspect a project, implement a feature, investigate failures, and review changes without moving the entire project into a browser-based builder. Desktop, CLI, and VS Code interfaces let you use the workflow that fits your work. LoopCode also offers multiple model options, configurable approvals, MCP integrations, and a free tier for trying the product. Free-tier model availability changes regularly, with expanded free usage offered to early users during early access.

LoopCode by Heksync's answer:

LoopCode uses TypeScript and Node.js for its coding-agent engine, React and Vite for its interface, and Electron for the desktop application.

LoopCode by Heksync's answer:

LoopCode is built primarily for developers, independent makers, technical founders, and small engineering teams working on real software projects. Typical uses include understanding unfamiliar repositories, implementing features, debugging failures, refactoring across files, and writing or running tests. Its scope extends beyond website development to backend services, applications, automation, and developer tooling. It is particularly useful for people who want assistance inside their existing workspace and want to review the code and verification results themselves.