h0rv's comments

On: Ask HN: Who wants to be hired? (April 2026)

[h0rv]

Location: Philadelphia, PA

Remote: Yes

Willing to relocate: Yes, for the right opportunity and compensation

Technologies: Go, Python, JavaScript (Node.js), Terraform, C, Java, Rust, Haskell, GNU/Linux, Git, CI/CD, GitHub Actions, AWS, GCP, Azure, IBM Cloud, PostgreSQL, NoSQL, vector databases, Containers, Temporal, Kubernetes

Résumé/CV: https://horv.co/resume/

Email: rhorv@proton.me

On: Show HN: d2-mcp – compile and render D2 diagrams for multimodal LLMs

[h0rv]

I've been using d2-mcp in Cursor with Claude Sonnet or Opus (o3 was not great). Cursor provides project structure and details (depending on the level abstraction you want in the diagram) to give really great results.

Before creating d2-mcp, Claude would give okay diagrams, but giving it the ability to "see" what it created, gives it the ability to see its own mistakes and fix them, and optimize for human readability.

On: Ask HN: Who wants to be hired? (August 2024)

[h0rv]

  Location: Scranton, PA, USA
  Remote: Yes
  Willing to relocate: Yes to Northeast, USA
  Technologies: Go, Python, Terraform, JavaScript, GNU/Linux, Git, CI/CD, Cloud (IBM Cloud, Azure, AWS), Containers (Docker, Podman), Kubernetes, GenAI/LLMs
  Résumé/CV: https://raw.githubusercontent.com/h0rv/resume/main/resume.pdf
  Email: rhorv+hn@proton[dot]com

Hi, I'm Robby. I am a backend/DevOps Engineer. Passionate about open-source and working on challenging problems. I'm enthusiastic to learn and grow, currently seeking high-growth opportunities where I can contribute in cloud/infra, DevOps, or, ideally, applied AI.

On: instructor-go – Structured LLM Outputs in Go

[h0rv]

instructor-go is a port of the popular Python package https://github.com/jxnl/instructor.

This implementation uses `jsonschema` and Go struct tags to send data and schema information to the model to return the appropriate response schema.

Currently, OpenAI and Anthropic are supported, and you can see all examples of different capabilities here: https://github.com/instructor-ai/instructor-go/tree/main/exa....

This is in early development and would love some feedback.

Thanks for checking it out!