Hacker News

Article URL: https://ani.town

Comments URL: https://news.ycombinator.com/item?id=43907036

Points: 1

# Comments: 1

Article URL: https://newsletter.pragmaticengineer.com/p/mythical-man-month-part-4

Comments URL: https://news.ycombinator.com/item?id=43907032

Points: 1

# Comments: 0

Article URL: https://john.onolan.org/12/

Comments URL: https://news.ycombinator.com/item?id=43907030

Points: 1

# Comments: 0

Article URL: https://www.agent-ready.ai/blog/standardizing-llm-app-communication

Comments URL: https://news.ycombinator.com/item?id=43907026

Points: 2

# Comments: 1

Article URL: https://www.bloomberg.com/news/articles/2025-05-06/elite-colleges-lead-a-rush-for-the-exits-of-private-equity

Comments URL: https://news.ycombinator.com/item?id=43907013

Points: 1

# Comments: 1

Article URL: https://dev.indooroutdoor.io/asyncio-demystified-rebuilding-it-from-scratch-one-yield-at-a-time

Comments URL: https://news.ycombinator.com/item?id=43907007

Points: 1

# Comments: 0

Article URL: https://www.technologyreview.com/2025/05/05/1116090/bryan-johnson-new-religion-body-is-god/

Comments URL: https://news.ycombinator.com/item?id=43907006

Points: 1

# Comments: 0

Article URL: https://cloud.google.com/blog/topics/threat-intelligence/unc3944-proactive-hardening-recommendations

Comments URL: https://news.ycombinator.com/item?id=43906954

Points: 1

# Comments: 0

Article URL: https://www.pbs.org/show/channel-3-moscow/

Comments URL: https://news.ycombinator.com/item?id=43906945

Points: 3

# Comments: 0

Article URL: https://www.betterbird.eu/

Comments URL: https://news.ycombinator.com/item?id=43906922

Points: 2

# Comments: 0

Article URL: https://saewitz.com/code-lifecycles

Comments URL: https://news.ycombinator.com/item?id=43906524

Points: 1

# Comments: 0

Article URL: https://web.archive.org/web/20201215120226/http://prelectur.stanford.edu/lecturers/hofstadter/analogy.html

Comments URL: https://news.ycombinator.com/item?id=43906520

Points: 1

# Comments: 0

Article URL: https://www.zdnet.com/article/ibm-introduces-a-mainframe-for-ai-the-linuxone-emperor-5/

Comments URL: https://news.ycombinator.com/item?id=43906517

Points: 1

# Comments: 0

Article URL: https://medium.com/@pmarreck/the-most-annoying-ui-problem-r3ditm-31773fe6bbd5

Comments URL: https://news.ycombinator.com/item?id=43906515

Points: 1

# Comments: 0

Article URL: https://jerf.org/iri/post/2025/on_layers_and_boxes_and_lines/

Comments URL: https://news.ycombinator.com/item?id=43906510

Points: 1

# Comments: 0

Article URL: https://grafana.com/docs/grafana/latest/whatsnew/whats-new-in-v12-0/

Comments URL: https://news.ycombinator.com/item?id=43906506

Points: 1

# Comments: 0

We’ve built a micro-agency that delivers high-quality, ready-to-train AI datasets (image, text, tabular) in 24–72 hours.

Teams come to us when: - They need custom domain data fast (e.g. chatbot Q&A, niche classification, visual annotation sets) - They don’t want to deal with scraping, cleaning, or labeling - They’re stuck waiting for internal data teams

Examples we've delivered recently: - 850 pose photos annotated COCO-style (for Stable Diffusion LoRA) - 3,000 customer support Q&A pairs (OpenAI fine-tuning) - 7,800 fandom wiki entries converted into LLaMA lore Q&A bot - Japanese sarcasm classifier dataset - Contract clause classifier (PDF > JSONL)

We handle the full pipeline: scraping → labeling → formatting → delivery. Happy to chat use case ideas or share behind-the-scenes if you're building something similar.

https://dataset24.notion.site Or ping me here — first few projects are discounted while we iterate.

Comments URL: https://news.ycombinator.com/item?id=43906487

Points: 1

# Comments: 0

I've built MCPBar (https://www.mcp.bar), an open-source CLI tool that brings npm-like package management to the Model Context Protocol (MCP) ecosystem, solving the fragmentation problem for AI tools.

What is MCPBar?

- A package manager for discovering and installing MCP servers (which connect AI models to tools/APIs)

- Uses a standardized mcp.json manifest format (similar to package.json) (link: https://github.com/in-fun/mcpbar/blob/main/doc/proposal.md)

- Works across multiple MCP clients like Claude, Cursor, and Windsurf

- Includes an open registry with standardized metadata for MCP servers

Why I built it:

The MCP ecosystem is growing rapidly but lacks standardization. Each AI client implements MCP differently, making discovery and installation frustratingly manual. MCPBar creates a decentralized-yet-standardized approach to package management for AI tools.

Technical highlights:

- Decentralized registry pattern inspired by npm and ESM imports

- Manifest files contain standardized metadata and installation instructions

- Cross-platform support (works on macOS/Windows/Linux)

- Simple CLI interface: mcpbar install github/github-mcp-server

Try it:

npm install -g mcpbar

mcpbar search github # Find GitHub-related MCP servers

mcpbar install github/github-mcp-server # Install a GitHub MCP server

GitHub: https://github.com/in-fun/mcpbar

Project site: https://www.mcp.bar

I'd love feedback on the manifest format, the CLI interface, and whether this approach makes sense for the evolving MCP ecosystem. Are there other features you'd want this to support?

Comments URL: https://news.ycombinator.com/item?id=43906473

Points: 1

# Comments: 0

Article URL: https://clarity.microsoft.com/blog/why-microsoft-clarity-chose-clickhouse/

Comments URL: https://news.ycombinator.com/item?id=43906465

Points: 1

# Comments: 0

Hi everyone, my name is Kevin Lin, and this is a Show HN for my sheet music smart glasses project. My video was on the front page on Friday: https://news.ycombinator.com/item?id=43876243, but dang said we should do a Show HN as well, so here goes!

I’ve wanted to put sheet music into smart glasses for a long time, but the perfect opportunity to execute came in mid-February, when Mentra (YC W25) tweeted about a smart glasses hackathon they were hosting - winners would get to take home a pair. I went, had a blast making a bunch of music-related apps with my teammate, and we won, so I got to take them home, refine the project, and make a pretty cool video about it (https://www.youtube.com/watch?v=j36u2i7PKKE).

The glasses are Even Realities G1s. They look normal, but they have two microphones, a screen in each lens, and can be even made with a prescription. Every person I’ve met who tried them on was surprised at how good the display is, and the video recordings of them unfortunately don’t do them justice.

The software runs on AugmentOS, which is Mentra’s smart glasses operating system that works on various 3rd-party smart glasses, including the G1s. All I had to do to make an app was write and run a typescript file using the AugmentOS SDK. This gives you the voice transcription and raw audio as input, and text or bitmaps available as output to the screens, everything else is completely abstracted away. Your glasses communicate with an AugmentOS app, and then the app communicates with your typescript service.

The only hard part was creating a Python script to turn sheet music (MusicXML format) into small, optimized bitmaps to display on the screens. To start, the existing landscape of music-related Python libraries is pretty poorly documented and I ran into multiple never-before-seen error messages. Downscaling to the small size of the glasses screens also meant that stems and staff lines were disappearing, so I thought to use morphological dilation to emphasize those without making the notes unintelligible. The final pipeline was MusicXML -> music21 library to render chunks of bars to png -> dilate with opencv- > downscale -> convert to bitmap with Pillow -> optimize bitmaps with imagemagick. This is far from the best code I’ve ever written, but the LLMs attempt at this whole task was abysmal and my years of Python experience really got to shine here. The code is on GitHub: https://github.com/kevinlinxc/AugmentedChords.

Putting it together, my typescript service serves these bitmaps locally when requested. I put together a UI where I can navigate menus and sheet music with voice commands (e.g. show catalog, next, select, start, exit, pause) and then I connected foot pedals to my laptop. Because of bitmap sending latency (~3s right now, but future glasses will do better), using foot pedals to turn the bars while playing wasn’t viable, so I instead had one of my pedals toggle autoscrolling, and the other two pedals sped up/temporarily paused the scrolling.

After lots of adjustments, I was able to play a full song using just the glasses! It took many takes and there was definitely lots of room for improvement. For example: - Bitmap sending is pretty slow, which is why using the foot pedals to turn bars wasn’t viable; - The resolution is pretty small, I would love to put more bars in at once so I can flip less frequently; - Since foot pedals aren’t portable, it would be cool to have a mode where the audio dictates when the sheet music changes. I tried implementing that with FFT but it was often wrong and more effort is needed. Head tilt controls would be cool too, because full manual control is a hard requirement for practicing.

All of these pain points are being targeted by Mentra and other companies competing in the space, and so I’m super excited to see the next generation! Also, feel free to ask me anything!

Comments URL: https://news.ycombinator.com/item?id=43906442

Points: 6

# Comments: 0