Hacker News
Burp Suite Extension with MCP Server
Article URL: https://github.com/swgee/BurpMCP
Comments URL: https://news.ycombinator.com/item?id=43660248
Points: 2
# Comments: 0
Neelcamp – Making Parenting Easier
Article URL: https://neelcamp.com
Comments URL: https://news.ycombinator.com/item?id=43660232
Points: 1
# Comments: 1
Pixel 9a's 3 big design updates
Article URL: https://blog.google/products/pixel/pixel-9a-new-design-camera/
Comments URL: https://news.ycombinator.com/item?id=43660212
Points: 1
# Comments: 0
Awe – Modern compiler for Algol W
Article URL: https://github.com/glynawe/awe
Comments URL: https://news.ycombinator.com/item?id=43660178
Points: 2
# Comments: 0
APPT: Affinity Protein–Protein Transformers
Article URL: https://bindwell.ai/posts/introducing-appt
Comments URL: https://news.ycombinator.com/item?id=43660163
Points: 2
# Comments: 0
New Mexico made childcare free. It lifted 120k people out of poverty
Article URL: https://www.theguardian.com/us-news/2025/apr/11/childcare-new-mexico-poverty
Comments URL: https://news.ycombinator.com/item?id=43660147
Points: 13
# Comments: 5
Why AI Still Struggles with What Isn't There
Article URL: https://web.eecs.utk.edu/~sdutta6/llm.html
Comments URL: https://news.ycombinator.com/item?id=43660142
Points: 3
# Comments: 0
WoT.php
Article URL: https://packagist.org/packages/wot-php/wot-td
Comments URL: https://news.ycombinator.com/item?id=43660136
Points: 2
# Comments: 1
AI professor's thoughts on risk after 10 yrs researching it
Article URL: https://teganmaharaj.neocities.org/blog
Comments URL: https://news.ycombinator.com/item?id=43660128
Points: 4
# Comments: 0
UN passes landmark carbon levy on ships
Article URL: https://www.ft.com/content/d614416a-1ee2-44da-b6c4-fa4b064d6349
Comments URL: https://news.ycombinator.com/item?id=43660107
Points: 3
# Comments: 0
DOJ Implements Security Program to Protect Sensitive Data from Adversaries
Where We Are Headed
Article URL: https://www.hyperdimensional.co/p/where-we-are-headed
Comments URL: https://news.ycombinator.com/item?id=43660064
Points: 3
# Comments: 0
Wi-Fi Giant TP-Link's US Future Hinges on Its Claimed Split from China
I'm building a tool to unblock creativity when you feel stuck
Article URL: https://creact.ai/
Comments URL: https://news.ycombinator.com/item?id=43660027
Points: 1
# Comments: 1
Slopsquatting: AI Hallucinations Fuel New Class of Supply Chain Attacks
Article URL: https://socket.dev/blog/slopsquatting-how-ai-hallucinations-are-fueling-a-new-class-of-supply-chain-attacks
Comments URL: https://news.ycombinator.com/item?id=43660012
Points: 1
# Comments: 0
Show HN: HelixDB – Native Graph and Vector Types for RAG and Retrieval
Hey HN! I’m building HelixDB with a college friend – a database that natively supports both graph and vector types.
It’s designed for AI-driven apps like RAG, vector search, code indexing, and agent frameworks where you need both explicit relationships and similarity.
Over the past week we've expanded our query language, released vector types, and two SDKs (Python & TypeScript), making it easy to insert and query data. HelixDB is open source, super easy to self-host, and we offer a managed service.
If you're building anything involving retrieval, we’d love your feedback!
How We Built HelixDB:
We came up with the idea for Helix while building a graph database as a side-project in Rust. Reading some research papers on RAG setups, I realised there was a lot of infrastructure setup to get started. You need your own server, a graph database, a vector database and then some bespoke middleman software to link them together.
After looking into how vectors work I discovered you can (kind of) abstract it into a graph. The vectors are just nodes with coordinates! And edges represent neighbour links. I realised I could link this up to the current graph infrastructure, allowing traversals in conjunction with similarity searches.
The way Helix works, from a low level, is you have four main types in respective tables. You have graph nodes, graph edges, vector nodes, and vector edges. The vector edges are irrelevant to developers (they just store the neighbour link for the similarity algorithm). The vector nodes work in the same way you'd use vectors in Pinecone or Qdrant by utilising HNSW. Likewise, the graph nodes work the same as they would in Neo4J or Neptune. The graph edges, however, are where things get interesting; you are able to define relationships between graph nodes, but also vectors, meaning you can have explicit dependencies between vectors and nodes or vice versa.
So, you can run a similarity search, then walk the graph to get more structured context. Or the other way around.
How Helix Works:
When you run Helix, it spins up as its own server (like a Docker container). To query it, you hit an auto-generated API endpoint.
Out of ignorance, I used to think databases compiled their queries and ran them like functions — like in normal programming. Turns out they don’t, and I never understood why that wasn’t the norm. So, like with what SpaceTimeDB is doing, we made Helix queries deployable. You write a query, and it gets built directly into the database as its own endpoint. This avoids the overhead of sending entire query strings over the network and cuts latency down a lot (and also prevents injections).
I've put an awful lot of work into this so if you could please star the Github and share it around I'd be very grateful
Comments URL: https://news.ycombinator.com/item?id=43659999
Points: 1
# Comments: 0
MCP: Additional context has a cost, a reminder that data beats vibes
Article URL: https://www.twilio.com/en-us/blog/twilio-alpha-mcp-server-real-world-performance
Comments URL: https://news.ycombinator.com/item?id=43659989
Points: 1
# Comments: 0
New video of unidentified flying object recorded near California released
Containers are coming to Cloudflare Workers in June 2025
Article URL: https://blog.cloudflare.com/cloudflare-containers-coming-2025/
Comments URL: https://news.ycombinator.com/item?id=43659934
Points: 1
# Comments: 0