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What tools does Zen van Riel use?
We found explicit, recent usage evidence for 1 job. Every answer below links to the original quote and labels sponsorship separately.
Direct answers
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Active tools
Current stack
Active = mentioned within the last 120 days. Featured tools are curated by the creator.
- GitHub Copilot4× since 15 Jun 2026 · last 13 Sept 2026
- LM Studio3× since 29 Jun 2026 · last 4 Sept 2026
- Hermes2× since 4 Sept 2026 · last 13 Sept 2026
- OpenClaw2× since 4 Sept 2026 · last 13 Sept 2026
- OpenRouter1× since 29 Jun 2026 · last 29 Jun 2026
- Claude1× since 15 Jun 2026 · last 15 Jun 2026
- ChatGPT1× since 3 Aug 2026 · last 3 Aug 2026
Affiliate links · Werbung›
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Werbehinweis gemäß §5a UWG: Mit ↗ markierte Links auf dieser Seite sind Affiliate-Links (Werbung). Bei einem Kauf über diese Links erhalten wir eine Provision; für Sie entstehen keine Mehrkosten. Dies hat niemals Einfluss auf Rankings, Trend-Scores oder Organisch/Gesponsert-Kennzeichnungen — diese werden ausschließlich aus Creator-Erwähnungsdaten berechnet.
Stack history
Adoptions, drop-offs and switches over time — each with its source.
Latest receipts
Show Your Work: Beyond GitHub Code for True Experience #shorts
How Tailscale, Nginx, a private dashboard, and two Telegram bots control access to each Hermes sandbox
Linked in the description for Skool
How Tailscale, Nginx, a private dashboard, and two Telegram bots control access to each Hermes sandbox
I run Hermes in two separate sandboxes on an NVIDIA DGX Spark
NVIDIA OpenShell
The same containment layer runs OpenClaw through NVIDIA NemoClaw.
NVIDIA NemoClaw
Post REAL Tech Insights on LinkedIn
Linked in the description for Skool
plus the OpenClaw and Hermes counter-case
Linked in the description for GitHub Copilot
I ran a week of inference benchmarks on the NVIDIA DGX Spark to compare vLLM with llama.cpp and LM Studio.
plus the OpenClaw and Hermes counter-case
Hackathon to LinkedIn: Showcase Your Skills & Go Viral! #shorts
Engage early on LinkedIn for recruitment wins.
How to use LM Studio and LM Link to run Spark models from a MacBook that only has 48GB of memory