Software Project Types for Tech Stack Building
Project types are used in the Tekyous stack builder's Questionnaire mode to tailor tool recommendations to the kind of project you are building. When you select a project type, the recommendation engine applies a set of curated rules to surface the most relevant tools for each category in your stack.
Project types apply to project tech stacks specifically — they describe what is being built, not how the developer works or what infrastructure runs underneath. The stack builder also supports developer stacks and infrastructure stacks, but those are not organised by project type.
There are currently 9 project types. Click any project type below to open the stack builder in Questionnaire mode with that type pre-selected.
Web Application
A browser-based web app or SaaS product. Assumes a fully fledged application with both a frontend and a backend. This is the broadest project type and the most commonly used starting point in the recommendation engine.
Website / Landing
A marketing website, blog, or portfolio. Most likely will not need a dedicated backend service and a separate database, but might rely on a CMS instead. The recommendation engine surfaces static site generators, CMS platforms, and lightweight hosting options.
Mobile App
An iOS/Android native or cross-platform app. Surfaces mobile frameworks, backend-as-a-service options, and authentication services suited to mobile deployment patterns.
API / Backend
A REST or GraphQL API with no frontend. Focuses recommendations on server-side frameworks, databases, authentication, and infrastructure — without surfacing any frontend framework tools.
Automation / Bot
Scripts, workflows, bots, and scheduled jobs. Covers deterministic, rule-based automations — connecting systems, triggering on events, processing data in sequence. Surfaces automation platforms, integration tools, and lightweight runtimes.
Note: AI agent workflows will be covered by a dedicated project type when introduced.
Data Pipeline / ETL
Building data ingestion, transformation, or orchestration workflows. Surfaces data engineering tools, cloud data platforms, orchestration frameworks, and transformation layers.
Dashboard / Reporting
Analytics dashboards, BI reports, or embedded data visualisations. Surfaces BI platforms, data app frameworks, notebooks, and the data sources that typically feed them.
ML / AI Model
Training, evaluating, or deploying machine learning and AI models. Covers classical ML and deep learning pipelines — data processing, model training, experiment tracking, and model serving.
Note: AI agent project types will be introduced separately, with coverage for both no-code and code-first approaches.
Browser Extension
A browser extension or add-on targeting Chrome, Firefox, or other browsers. Uses extension-specific frameworks following Manifest V3 architecture with content scripts, background service workers, and browser storage.
If you are not sure which type fits your project, open the Questionnaire mode directly — the descriptions are shown inline as you select. For a broader overview of how project types work inside the platform, see the How Tekyous Works guide.