Tekyous

Описание

## About Tekyous **What is Tekyous?** Tekyous is an interactive tech stack builder & tools directory - a web-based platform that helps developers and founders select, visualize, and compare technology tools for their projects. It provides real-time recommendations based on project parameters and allows users to create editable architecture diagrams on an interactive canvas. **Who is it for?** Tekyous is designed for both technical and non-technical users — developers, indie hackers, startup founders, and engineering teams who need to plan or evaluate a technology stack. It benefits anyone building web applications, data pipelines, or automation workflows, as well as non-technical founders who want to understand the modern technology landscape before committing to a direction. **How is it priced?** The platform is currently free to use with no account required. Paid plans are on the roadmap and will cover additional features such as saved stacks, advanced exports, and AI-assisted recommendations. The core stack builder and tools catalogue will remain free. **How does it compare to alternatives?** Tekyous sits at the intersection of three things that have traditionally been separate: tools directories (informational, browse-only), diagram tools (visual, but unaware of the tools themselves), and stack recommendation tools (mostly static forms with no iteration). Tekyous combines all three on a live interactive canvas, with rule-based real-time recommendations driven by actual tool relationship data. **Key features** - Real-time stack recommendations based on project parameters - Visual, editable architecture diagrams on an interactive canvas - Rule-based, real-time tool suggestions based on actual compatibility data - Sandbox mode for free-form exploration - Questionnaire mode for curated starting stacks by project type and experience level - Export and import stack configurations as JSON **Use cases** - Planning a new web app architecture by selecting compatible frontend, backend, and database tools. - Building a data pipeline with recommended ETL and storage tools for analytics projects. - Creating an automation and choosing different platforms - Choosing the developer stack, so deciding between different IDEs, Agentic tools and LLM providers - Deciding between self-hosting a tool or using a cloud service - Evaluating technology options as a non-technical founder before speaking to engineers or committing to a build direction.