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Article URL: https://www.inc.com/teresa-brazen/how-inside-out-leadership-can-guide-your-team-during-times-of-change/91171550

Comments URL: https://news.ycombinator.com/item?id=43773318

Points: 1

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Article URL: https://sunaai.ai/

Comments URL: https://news.ycombinator.com/item?id=43773309

Points: 1

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I made a simple multiplayer game called MazeRace.

You can either create a private room or join someone else’s room using a code. The server generates a new maze for each room, and players race from the start to the end point. You also see other players moving in real time

It’s not super fancy, but it's playable and kinda fun.

Would love feedback or ideas!

Comments URL: https://news.ycombinator.com/item?id=43773295

Points: 1

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Article URL: https://www.chainguard.dev/unchained/announcing-chainguards-series-d-building-the-safe-source-for-all-open-source

Comments URL: https://news.ycombinator.com/item?id=43773285

Points: 1

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Article URL: https://bera-journals.onlinelibrary.wiley.com/doi/full/10.1111/bjet.13585

Comments URL: https://news.ycombinator.com/item?id=43773278

Points: 1

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Article URL: https://articles.pragdave.me/p/premature-design-is-not-design?r=2rvraz&utm_campaign=post&utm_medium=web&triedRedirect=true

Comments URL: https://news.ycombinator.com/item?id=43773250

Points: 1

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Article URL: https://www.nytimes.com/2025/04/21/climate/fighting-louisiana-floodwaters-solutions.html

Comments URL: https://news.ycombinator.com/item?id=43773239

Points: 1

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Article URL: https://slobodan.me/posts/ai-agents/

Comments URL: https://news.ycombinator.com/item?id=43773237

Points: 1

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We've been building a middleware layer that acts like a firewall for LLMs, it sits between the user and the model (OpenAI, Claude, Gemini, etc.) and intercepts prompts and responses in real time.

It blocks prompt injection, flags hallucinations, masks PII, and adds logging + metadata tagging for compliance and audit.

But we’re hitting the classic startup blind spot: we don’t want to build in a vacuum.

What do you feel is still broken or missing when it comes to: - Securing LLM prompts/responses? - Making GenAI safe for enterprise use? - Auditing what the AI actually said or saw?

We’d love your feedback — especially if you’re working on or thinking about GenAI in production settings.

Thanks!

Comments URL: https://news.ycombinator.com/item?id=43772798

Points: 1

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Article URL: https://blog.1password.com/1password-sdks-programmatic-item-management/

Comments URL: https://news.ycombinator.com/item?id=43772788

Points: 1

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Article URL: https://www.publicnewsservice.org/2025-04-14/sustainable-agriculture-and-farming/americas-historic-crops-at-risk-as-doge-cuts-funding-for-seed-bunkers/a96158-1

Comments URL: https://news.ycombinator.com/item?id=43772781

Points: 2

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Article URL: https://github.com/vinodnimbalkar/gcm

Comments URL: https://news.ycombinator.com/item?id=43772775

Points: 1

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Article URL: https://kobzol.github.io/rust/2025/04/23/two-ways-of-interpreting-visibility-in-rust.html

Comments URL: https://news.ycombinator.com/item?id=43772769

Points: 1

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Question in title - basically, is there any way to legally receive money in EU for some digital service / product without opening some sort of trade / LLC?

We can say I'm specifically asking for Belgium.

Comments URL: https://news.ycombinator.com/item?id=43772767

Points: 1

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Article URL: https://www.wired.com/story/4chan-is-dead-its-toxic-legacy-is-everywhere/

Comments URL: https://news.ycombinator.com/item?id=43772744

Points: 2

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Article URL: https://github.com/nohajc/anylinuxfs

Comments URL: https://news.ycombinator.com/item?id=43772722

Points: 2

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Article URL: https://techcrunch.com/2025/04/23/blue-shield-of-california-shared-the-private-health-data-of-millions-with-google-for-years/

Comments URL: https://news.ycombinator.com/item?id=43772708

Points: 1

# Comments: 1

Hey all,

I’ve been working on an AI agent system over the past year that connects to internal company tools like Slack, GitHub, Notion, etc, to help investigate production incidents. The agent needs context, so we built a system that ingests this data, processes it, and builds a structured knowledge graph (kind of a mix of RAG and GraphRAG).

What we didn’t expect was just how much infra work that would require.

We ended up:

- Using LlamaIndex's OS abstractions for chunking, embedding and retrieval.

- Adopting Chroma as the vector store.

- Writing custom integrations for Slack/GitHub/Notion. We used LlamaHub here for the actual querying, although some parts were a bit unmaintained and we had to fork + fix. We could’ve used Nango or Airbyte tbh but eventually didn't do that.

- Building an auto-refresh pipeline to sync data every few hours and do diffs based on timestamps. This was pretty hard as well.

- Handling security and privacy (most customers needed to keep data in their own environments).

- Handling scale - some orgs had hundreds of thousands of documents across different tools.

It became clear we were spending a lot more time on data infrastructure than on the actual agent logic. I think it might be ok for a company that interacts with customers' data, but definitely we felt like we were dealing with a lot of non-core work.

So I’m curious: for folks building LLM apps that connect to company systems, how are you approaching this? Are you building it all from scratch too? Using open-source tools? Is there something obvious we’re missing?

Would really appreciate hearing how others are tackling this part of the stack.

Comments URL: https://news.ycombinator.com/item?id=43772702

Points: 1

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Article URL: https://peakhorse.substack.com/p/empty-calories-of-ai-a-cure-for-loneliness

Comments URL: https://news.ycombinator.com/item?id=43772696

Points: 1

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Article URL: https://www.ft.com/content/24fea1d6-ba66-4b6b-814b-7bb72abfe58f

Comments URL: https://news.ycombinator.com/item?id=43772693

Points: 2

# Comments: 0