nvdnadj92
Joined 5 years ago
Karma
93
Submissions
25
Member since
Nov 1
Recent submissions
Comment · 1 month ago
Wins against top 7 Protoss player with an unconventional approach using the least used unit in the game (ghost).
Comment · 8 months ago
One clear use case where MCP is better than anything else: design system documentation for an enterprise, or using a specific UI library. Daisy UI has an example: https://github.com/birdseyevue/daisyui-mcp
Context7 is a good MCP. If one were to point an agent to a docs website, the amount of tokens consumed would use up too much of the context window to be able to do a meaningfully complex task with it.
Figma MCP translates Figma to a language an agent understands.
Not everything can be a cli.
Comment · 9 months ago
Carta | Senior Software Engineer II | Waterloo / Toronto | ONSITE (Hybrid OK)
Apply Here:
- https://job-boards.greenhouse.io/carta/jobs/7544237003
- https://job-boards.greenhouse.io/carta/jobs/7504452003
⎯
Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit.
Frontend Platform: You will own the core infrastructure and monorepo that underpins our entire frontend. Our mantra: "Create a development experience that people will miss when they leave."
Design Systems (Ink): You will build the foundational React components, tooling, and accessibility standards used by hundreds of Carta engineers to ship consistent UI. Check out our docs site at https://ink.carta.com
⎯
Tech: React, TypeScript, Rspack/Vite/Rush, Node.js.
We are looking for engineers who care deeply about developer experience, accessibility, and enabling great design at scale.
Comment · 11 months ago
Amazing! I was planning on making a tool just like this, will take yours for a spin!
Comment · 11 months ago
Building a set of experiments that explores LLMs visual understanding of your photos to learn about you, especially given the recent learnings from deepseek-OCR. Part of the experiments delve into storing the memories with GraphRAG so they can be effectively retrieved without losing too information.
Comment · 1 year ago
Laptop: Apple M2 Max, 32GB memory (2023)
Setup:
Terminal:
- Ghostty + Starship for modern terminal experience
- Homebrew to install system packages
IDE:
- Zed (can connect to local models via LM-Studio server)
- also experimenting with warp.dev
LLMs:
- LM-studio as open-source model playground
- GPT-OSS 20B
- QWEN3-Coder-30B-AEB-quantized-4bit
- Gemma3-12B
Other utilities:
- Rectangle.app (window tile manager)
- Wispr.flow - create voice notes
- Obsidian - track markdown notes
Comment · 1 year ago
After reading this post and the readme, I'm not convinced that this is solving a real, observed problem. You outline an example with the long-term coaching mentorship, but why or how is your solution preferable to telling Claude to maintain a set of notes and observations about you, similar to https://github.com/heyitsnoah/claudesidian?
the jazz metaphors do not help provide additional context.
Comment · 1 year ago
In case you need conversational data for the experiment you want to try, I developed an open-source cli tool [1] that create transcripts from voice chats on discord. Feel free to try it out!
Comment · 1 year ago
Agree with the first half of the article, but every example the author pointed out predates AI. What are examples of companies that have been founded in the past 3 years and prove the authors point that the data model is the definitive edge?
Comment · 1 year ago
Yes, but by a negligible margin. My program is designed for multi-track audio, which means I run this in parallel on multiple 3 hour recordings, and get results in 12 minutes.
You haven’t shared any architectural details. What model? What size? How can anyone be sure that what you’re building is truly offline?
Comment · 1 year ago
I vibecoded a similar app. Here’s the open source link, if folks want to build their own:
Comment · 1 year ago
Ah lovely! I’d be happy to assist, create an issue on GitHub and we can go from there!
Comment · 1 year ago
I wanted to build my own speech-to-text transcription program [1] for Discord, similar to how zoom or google hangouts works. I built it so that I can record my group's DND sessions and build applications / tools for VTTs (Virtual TableTop gaming).
It can process a set of 3-hour audio files in ~20 mins.
I recorded a demo video of how it works here: https://www.youtube.com/watch?v=v0KZGyJARts&t=300s
[1] https://github.com/naveedn/audio-transcriber
I alluded to building this tool on a previous HN thread: https://news.ycombinator.com/item?id=45338694