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Article URL: https://thewire.in/culture/the-software-upgrade-in-chinese-civic-behaviour

Comments URL: https://news.ycombinator.com/item?id=47145528

Points: 2

# Comments: 0

Article URL: https://www.nytimes.com/2026/02/24/us/politics/pentagon-anthropic.html

Comments URL: https://news.ycombinator.com/item?id=47145523

Points: 2

# Comments: 0

Article URL: https://www.pi.website/blog/partner?v=1

Comments URL: https://news.ycombinator.com/item?id=47145518

Points: 4

# Comments: 0

Article URL: https://llm-d.ai/blog/native-kv-cache-offloading-to-any-file-system-with-llm-d

Comments URL: https://news.ycombinator.com/item?id=47145517

Points: 1

# Comments: 0

Article URL: https://www.vehique.ai/

Comments URL: https://news.ycombinator.com/item?id=47145493

Points: 3

# Comments: 3

Article URL: https://twitter.com/ArtificialAnlys/status/2026360491799621744

Comments URL: https://news.ycombinator.com/item?id=47145489

Points: 1

# Comments: 0

Article URL: https://agingcoder.com/posts/i-built-a-thing/

Comments URL: https://news.ycombinator.com/item?id=47145487

Points: 1

# Comments: 0

Automated threat modeling tools make identifying threats simpler, but the tools themselves can be fairly complex. Understanding where risks exist is only one part of the process.

Claude Code stores all your session data in ~/.claude/ but there's no built-in way to visualize it. Claud-ometer is a local-first dashboard that reads those files and gives you full visibility into your usage — costs per project, token breakdowns by model, session replays, activity heatmaps, and more.

No cloud, no telemetry. It's a Next.js app that runs on localhost and parses the JSONL files directly.

https://github.com/deshraj/Claud-ometer

Curious if others have been wanting something like this — open to feature ideas.

Comments URL: https://news.ycombinator.com/item?id=47145052

Points: 1

# Comments: 0

Article URL: https://github.com/kstonekuan/splatter-mcp-app

Comments URL: https://news.ycombinator.com/item?id=47145050

Points: 1

# Comments: 0

Article URL: https://jsfour.substack.com/p/sandcastles-made-of-bits

Comments URL: https://news.ycombinator.com/item?id=47145042

Points: 2

# Comments: 0

Hey HN,Built VoooAI over 4 months. It's a NL2Workflow engine – you describe what you want in plain English, it generates an executable multi-modal pipeline (image + video + audio).The problem: Midjourney for images, Runway/Pika for videos, Suno for music – each has its own API, interface, and learning curve ComfyUI gives you control but requires understanding node graphs n8n connects APIs but doesn't understand creative intent What we did differently:Instead of having LLMs output JSON directly (hard to validate), we introduced a pseudocode IR layer: LLM generates pseudocode → deterministic interpreter expands to executable workflow JSON. This gives us: Syntax validation before interpretation Automatic engine correction (if skill requires specific engine) Reliable edge connections Try it: voooai.com Compare us: voooai.com/workflow-comparison – we're not better at everything, but for "idea → multi-modal output" in one prompt, that's our niche.AMA about the architecture.

Comments URL: https://news.ycombinator.com/item?id=47145029

Points: 1

# Comments: 0

Article URL: https://nbtv.substack.com/p/enough-is-enough

Comments URL: https://news.ycombinator.com/item?id=47145024

Points: 1

# Comments: 1

I built a small Chrome extension to make working with i18next translation keys easier during development.

In larger projects, I often found myself searching through multiple JSON files to figure out which key was rendering a specific piece of text. Global search works, but it’s slow and sometimes noisy, especially when keys are reused or structured deeply.

The idea was inspired by LocatorJS, which lets you click a component in the browser and jump to its source file. I liked that workflow and wanted something similar, but focused specifically on translation keys.

LocaterJs Link https://www.locatorjs.com/ in case u did not know it

Comments URL: https://news.ycombinator.com/item?id=47144995

Points: 1

# Comments: 0

Article URL: https://nesbitt.io/xkcd-2347/

Comments URL: https://news.ycombinator.com/item?id=47144989

Points: 1

# Comments: 0

Article URL: https://www.sunyopt.edu/new-research-suggests-myopia-could-be-caused-by-how-we-use-our-eyes-indoors/

Comments URL: https://news.ycombinator.com/item?id=47144980

Points: 1

# Comments: 0

The US Justice Department disclosures give fresh clues about how tech companies handle government inquiries about your data.

Article URL: https://brids.bearblog.dev/ai-and-my-crisis-of-meaning/

Comments URL: https://news.ycombinator.com/item?id=47144940

Points: 2

# Comments: 0

Article URL: https://www.empirical.health/blog/men-vs-women-heart-disease/

Comments URL: https://news.ycombinator.com/item?id=47144935

Points: 1

# Comments: 0

Over the last year I keep seeing “SaaS is dead” takes. I don’t think that’s what’s happening.

What seems under pressure isn’t SaaS as a model. It’s narrow SaaS built around a single capability that AI can now reproduce cheaply.

If your product is basically a thin wrapper over a model, or differentiated mainly by features rather than workflow integration, the moat feels weaker now. AI compresses build time dramatically. That means more competitors, faster cloning, and lower switching costs.

But SaaS that is model-agnostic, deeply embedded into workflows, or acts as connective tissue between systems looks much more durable. Integration, distribution, and trust don’t commoditize as quickly as features do.

It feels less like SaaS collapsing and more like a sorting event. Thin wrappers get squeezed. Infrastructure layers and integrators get stronger.

Curious if others building right now are seeing the same shift, or if I’m over-indexing on AI-native workflows.

Comments URL: https://news.ycombinator.com/item?id=47144923

Points: 2

# Comments: 0