Hacker News

Article URL: https://github.com/beehive-lab/TornadoVM/pull/796

Comments URL: https://news.ycombinator.com/item?id=47215231

Points: 2

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Article URL: https://medv.io/blog/banned-on-lobsters

Comments URL: https://news.ycombinator.com/item?id=47215213

Points: 2

# Comments: 1

Article URL: https://github.com/zrwusa/data-structure-typed

Comments URL: https://news.ycombinator.com/item?id=47215209

Points: 2

# Comments: 1

Article URL: https://www.pockeng.com/

Comments URL: https://news.ycombinator.com/item?id=47215206

Points: 1

# Comments: 1

Hi HN,

I’m introducing Securos, a security-focused platform built around disciplined engineering and hardened system design.

The project emphasizes controlled infrastructure ownership, structured deployment practices, and long-term maintainability rather than rapid feature iteration. The goal is to create a stable foundation for security-oriented tooling and services.

Securos is part of the broader Temple Enterprise portfolio, where each platform follows consistent engineering and operational standards.

I’m looking for technical feedback, especially around architecture decisions, security assumptions, and overall direction.

Comments URL: https://news.ycombinator.com/item?id=47215194

Points: 1

# Comments: 0

Article URL: https://github.com/nicobailon/visual-explainer

Comments URL: https://news.ycombinator.com/item?id=47215023

Points: 1

# Comments: 0

In addition to mec1-az2 now AWS has also lost mec1-az3 rendering the region down, as many control planes rely on rely on quorum.

Status -> https://health.aws.amazon.com/health/status

Comments URL: https://news.ycombinator.com/item?id=47215022

Points: 1

# Comments: 0

I’m a student founder building EPIC (https://no-edit.lovable.app)— a browser-based design tool (posters, presentations, logos, templates) with manual editing and optional AI mode. But the interesting part isn’t the editor. It’s the navigation + visual sitemap tool inside it. Most small projects struggle with structure. Pages get messy. Navigation grows randomly. Conversions drop because the architecture isn’t clear. So I built a visual sitemap generator that lets you: Map your entire website structure visually See hierarchy instantly Identify dead-end pages Fix navigation flow before building Export and iterate Over the last few weeks: 100+ organic daily visitors 100 signups in a single day Avg session time ~2+ minutes Users spending time specifically on the navigation tool No paid ads. Mostly Hacker News + organic discovery. Still early. Still improving UX and performance. I’d genuinely love feedback from people who care about structure, IA, and conversion architecture. What do you think is missing in current sitemap tools? Link in comments.

Comments URL: https://news.ycombinator.com/item?id=47215005

Points: 3

# Comments: 4

Article URL: https://terathon.com/blog/dual-pga.html

Comments URL: https://news.ycombinator.com/item?id=47214998

Points: 1

# Comments: 0

Article URL: https://code.mendhak.com/how-do-terminal-progress-bars-actually-work/

Comments URL: https://news.ycombinator.com/item?id=47214995

Points: 1

# Comments: 0

Article URL: https://www.telegraph.co.uk/world-news/2026/03/02/raf-akrotiri-cyprus-drone-strike-us-israel-iran-war/

Comments URL: https://news.ycombinator.com/item?id=47214990

Points: 1

# Comments: 1

For the past few months, I've been building OxyJen, an open-source framework for building reliable, multi-step AI pipelines in Java. In most Java LLM projects, everything is still just strings. You build a prompt, make a call, and then parse your regex and wait if it works on the "almost-JSON" that comes back. It's brittle, untestable, and feels like the opposite of Java's "contract-first" philosophy.

OxyJen's approach is different. It's a graph-based orchestration framework(currently sequential) where LLMs are treated as native, reliable nodes in a pipeline, not as magical helper utilities. The core idea is to bring deterministic reliability to probabilistic AI calls. Everything is a node in a graph based system, LLMNode, LLMChain, LLM api is used to build a simple LLM node for the graph with retry/fallback, jitter/backoff, timeout enforcements(currently supports OpenAI).

PromptTemplate, Variable(required/optional) and PromptRegistry is used to build and store reusable prompts which saves you from re writing prompts.

JSONSchema and SchemaGenerator is used to build schema from POJOs/Records which will provide Json enforcements on outputs of these LLMs. SchemaNode wraps SchemaEnforcer and validator to map LLM output directly to the classes. Enforcer also makes sure your output is correct and takes maximum retries.

Currently working on the Tool API to help users build their custom tools in Oxyjen. I'm a solo builder right now and the project is in its very early stage so I would really appreciate any feedback and contributions(even a small improvement in docs would be valuable).

OxyJen: https://github.com/11divyansh/OxyJen

Comments URL: https://news.ycombinator.com/item?id=47214987

Points: 1

# Comments: 0

Article URL: https://nzeldes.com/2008/05/the-evolution-of-the-onoff-power-switch-symbol/

Comments URL: https://news.ycombinator.com/item?id=47214986

Points: 2

# Comments: 0

AnChat Lite is an E2E encrypted messenger that runs on decentralized infrastructure instead of central servers (orama.network). Authentication is wallet-based — no phone number, no email, no identity requirements.

We built it because every "private" messenger still depends on centralized infrastructure controlled by a single entity. Signal requires a phone number and routes through Signal's servers. Matrix is federated but still server-dependent. We wanted something where no single entity controls the messaging infrastructure.

How it works:

- Messages route through the Orama Network — a distributed network of independent nodes, not a single central server - E2E encryption on all message content - Metadata shielding via the ANyONe Protocol (onion routing) — not just message content, but who talks to whom is hidden - The infrastructure layer is custom-built: Go backend, Raft-based distributed SQL (RQLite), WireGuard mesh between independent nodes, self-operated DNS - No AWS, no GCP — runs on independent VPS nodes with no cloud provider dependency - Wallet-based auth means zero identity data collected at signup

Currently in closed beta on iOS (TestFlight) and Android (Google Play + APK).

Known limitations: beta quality, small user base, wallet-based onboarding has friction for non-crypto-native users. Working on all of it.

What we'd love feedback on: - The decentralized messaging architecture and its tradeoffs vs. federated (Matrix) or centralized (Signal) - UX of wallet-based onboarding for mainstream users - What's missing that would make you consider it

Website: https://anchat.io/#download Google Play: https://play.google.com/store/apps/details?id=debros.anchat_lite iOS TestFlight: https://testflight.apple.com/join/GzQ2gvx4 Orama Network: https://github.com/DeBrosOfficial/orama

Comments URL: https://news.ycombinator.com/item?id=47214981

Points: 1

# Comments: 0

Article URL: https://www.samratjha.com/blog/enterprise-ai-roi/

Comments URL: https://news.ycombinator.com/item?id=47214961

Points: 1

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Article URL: https://github.com/plp13/qman

Comments URL: https://news.ycombinator.com/item?id=47214960

Points: 1

# Comments: 0

what we think of as AGI is usually imagined as the knowledge contained within a single human brain, which is nothing compared to the data contained within a whole civilization. assuming each human brain contains at least 100T of data, the entire earth civilization must contain at least 10,000x that (assuming most humans share start with the same basic information and build on top of it).

assuming that our compression methods are the same as the ones developed accidently through evolution (highly unlikely as most of these are open source and haven't really been worked on much in comparison). that means we need at least 10k*8b= 80 trillion terabytes of data.

we don't have enough data center to house them even if we had the data available to copy right now.

of course, much of this data doesn't look the same as what you we are used to in computers. I had this issue again and again while trying to automate accounting with Ai, much of the insights i get from accountant i don't know what to do with or how to feed it into an LLM. Hell, i can't really put it into words myself of intellectually put a framework on it (and i studied accounting long time ago).

I am not saying Ai can't actually get there, it already is automating accounting. accountants used to laugh about the mere mention of it in 2018, now campfire is eating SAP. What i am saying is that we have really really underestimated the storage capacity needed to replace entire industries.

Comments URL: https://news.ycombinator.com/item?id=47214952

Points: 1

# Comments: 0

A minimal neumorphic CSS library with outer, inner, and clay shadow styles. Physical material themes included.

Comments URL: https://news.ycombinator.com/item?id=47214921

Points: 1

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Article URL: https://github.com/akshayparseja/aegisgate

Comments URL: https://news.ycombinator.com/item?id=47214899

Points: 1

# Comments: 1

Article URL: https://pk.org/articles/better_than_kings.html

Comments URL: https://news.ycombinator.com/item?id=47214871

Points: 1

# Comments: 0