Building practical software for operations, automation, AI, and community infrastructure.
Diese Tech develops systems that eliminate repetitive work, streamline operations, and turn manual processes into reliable software. Our projects span SaaS products, AI-assisted workflows, operational dashboards, and tools for online communities and local businesses.
Software that helps businesses run more efficiently.
- Operational dashboards
- Workflow automation
- Dispatch and scheduling platforms
- Internal tools
- Client portals
- Business management systems
Practical AI that assists operators instead of replacing them.
- AI-assisted workflows
- Local LLM integrations
- Voice assistants
- RAG systems
- Automation agents
- Decision support tools
Software built for organized online communities.
- Discord bots
- League management
- Draft systems
- Match tracking
- Leaderboards
- Community automation
Customer loyalty and digital queue platform designed for independent coffee shops.
AI-powered operations platform for service businesses featuring scheduling, automation, room management, and voice assistance.
Field service dispatch platform focused on technician coordination, intake workflows, scheduling, and operational visibility.
Match tracking and league operations platform built for competitive gaming communities.
Discord drafting and randomization bot for organized competitive play.
League management platform supporting competitive communities through registration, drafting, scheduling, and administration.
Every project begins as a small experiment.
Successful experiments become products.
Reusable patterns are extracted into templates.
Retired projects are archived instead of deleted so lessons remain accessible.
This keeps the organization focused on shipping software while continuously improving the engineering process behind it.
- Build practical software that solves real problems.
- Automate repetitive work wherever possible.
- Prefer simple, maintainable systems over unnecessary complexity.
- Design software that scales operationally before it scales technically.
- Treat AI as an operational multiplier, not a replacement for human judgment.
Repositories generally fall into five categories:
Production software, client work, and actively maintained applications.
Experiments, prototypes, proofs of concept, and research projects.
Projects built specifically for learning new technologies, frameworks, or concepts. These repositories document the learning process and are intentionally preserved as milestones in technical growth.
Reusable starter repositories and shared foundations used across products.
The project graveyard. Software rarely dies without leaving behind a lesson, a reusable idea, or code worth bringing back.
- Next.js
- React
- TypeScript
- Tailwind CSS
- shadcn/ui
- Python
- FastAPI
- Supabase
- PostgreSQL
- Neon
- Docker
- Ollama
- OpenAI
- Claude
- n8n
- Home Assistant
- Qdrant
- GitHub
- Vercel
- Docker
- Linux
- Windows
- Building operational SaaS products
- Applying AI to real-world business workflows
- Creating reusable engineering systems and templates
- Expanding local business software offerings
- Completing a cybersecurity degree
- Twitch: OfficialDiese
- GitHub: diese-tech
Always building. Always improving.



