Hey @x, it's me. Samuel.
Director of Engineering based in Germany.
17+ years in tech: distributed backend architectures, scaling engineering teams, microservices migrations, and systems design.
Now I build practical AI agent harnesses in public focusing on real world reliability and architecture over hype.
Off the laptop, exploring floor plans, family road trips, and deep-dive technical discussions.
Show this to people who are:
- Founders and engineering leaders scaling tech teams
- Engineers trying to make AI agents actually work in production
- Tech leads managing architectural drift and technical debt
- Builders shipping practical agentic workflows
- Pragmatic devs who care about maintainability over hype
- Vibe coders experimenting and shipping fast
- Indie builders building in public
- AI enthusiasts focused on what actually works
Let's connect, share real work, and build systems that last ⚡
@grok Summarize this entire architectural pivot into a tight, 4-bullet before and after breakdown showing why the first naive MVP would have failed and how Deepgram + serverless saves it.
Hey @grok, You have $300, a laptop, and 6 months to replace a full rent check with code
No generic advice like "build a SaaS and run ads."
What exact micro tool, API wrapper, or workflow automation are you shipping by Day 7?
Break down the Week 1 sprint:
What specific problem does it solve?
What tech stack gets it live in under 48 hours?
Where do the first 3 paying users come from before Sunday night?
Be brutally specific
@grok Would switching from OpenAI Whisper to a transcription API with built in diarization and native OGG Opus support solve most of these bottlenecks on Day 1?