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I built an anomaly detection API that uses wave physics (Klein-Gordon equation) instead of ML. You feed it normal examples + suspect data in one stateless call — no training step, no model management.

How it works: data gets encoded onto a lattice, a wave equation evolves it on a GPU (NVIDIA T4), and anomalies show up as regions where wave energy concentrates. It also returns the top features explaining WHY each point was flagged.

What's different from sklearn/PyOD: - Stateless: training + inference in one API call - GPU-accelerated: CUDA kernels, not Python loops - Explainable: per-feature contribution scores, not just a number - Works on anything: JSON, time series, text, tabular

Free tier: 100 scans/day, no key needed.

Python SDK: pip install WaveGuardClient MCP server: works with Claude Desktop / AI agents via Smithery Docs: https://github.com/gpartin/WaveGuardClient

Try it in 4 lines: from waveguard import WaveGuard wg = WaveGuard() result = wg.scan(training=[{"cpu": 45}, {"cpu": 50}], test=[{"cpu": 99}]) print(result.summary)

Comments URL: https://news.ycombinator.com/item?id=47144914

Points: 1

# Comments: 0

I built a Python job queue that stores its entire state in one JSON file on S3, GCS, or your filesystem. No Redis, no RabbitMQ, no Postgres. Just object storage.

How it works

Read the JSON file, modify it in memory, write it back with compare-and-set. If two workers race, one wins. The loser retries with fresh state. No locks needed.

Inspired by; https://turbopuffer.com/blog/object-storage-queue

Comments URL: https://news.ycombinator.com/item?id=47144842

Points: 1

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Article URL: https://arxiv.org/abs/2602.13237

Comments URL: https://news.ycombinator.com/item?id=47144841

Points: 1

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Article URL: https://www.jstor.org/stable/1721427

Comments URL: https://news.ycombinator.com/item?id=47144835

Points: 1

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Article URL: https://www.npr.org/2026/02/24/nx-s1-5725327/pentagon-anthropic-hegseth-safety

Comments URL: https://news.ycombinator.com/item?id=47144811

Points: 1

# Comments: 0

I’m a retail trader and lately I’ve been overwhelmed by the number of trading AI agents out there.

I’m interested in how people here think about evaluating and trusting these systems before putting real money behind them.

Specifically: • what methods do you use to evaluate trading AI agents? • what trading AI agents have you tried, if any? • how long did you run them live or on paper? • what made you trust them enough to deploy, or what made you stop?

Comments URL: https://news.ycombinator.com/item?id=47144809

Points: 1

# Comments: 1

Article URL: https://herbertlui.net/people-shaped-problems/

Comments URL: https://news.ycombinator.com/item?id=47144808

Points: 1

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Article URL: https://standardkernel.com/blog/in-pursuit-of-high-fidelity-gpu-kernel-benchmarking/

Comments URL: https://news.ycombinator.com/item?id=47144795

Points: 1

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Article URL: https://en.wikipedia.org/wiki/Project_Cybersyn

Comments URL: https://news.ycombinator.com/item?id=47144788

Points: 1

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September can't come quickly enough.

Eufy's new Omni C28 robot vacuum comes with an extra-long roller mop and some premium features often seen on high-end models.

Article URL: https://news.sky.com/story/streaming-services-like-netflix-to-be-subject-to-same-regulation-as-broadcasters-in-uk-13511559

Comments URL: https://news.ycombinator.com/item?id=47144266

Points: 1

# Comments: 0

Hi HN

We kept running into the same issue while building a monetization layer for AI teams.

Small pricing changes would require engineering. Add a commitment. Adjust overage. Create a subscription tweak, everything.

So we tried something different. We built an MCP server for Flexprice.

Now every API operation is exposed as structured MCP tools. If you use Cursor, Claude Code, VS Code, Gemini, Windsurf, or any MCP-compatible client, you can connect your Flexprice account and operate billing through your AI assistant!

You can:

• Create subscriptions • Configure commitments and overages • Issue invoices • Post usage events • Manage wallets and more through your IDE or assistant now!

What we like most about this is that pricing is no longer locked behind engineering.

A non-technical co-founder or someone from finance can prompt a change, and it executes safely through authenticated tools.

Curious what HN thinks about prompt-operable infra like this. Happy to answer questions! Feel free to check out our docs for more info: https://docs.flexprice.io/docs/connect/mcp-server

Comments URL: https://news.ycombinator.com/item?id=47144263

Points: 2

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Article URL: https://joereis.substack.com/p/2028-the-great-data-reckoning

Comments URL: https://news.ycombinator.com/item?id=47144228

Points: 1

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Article URL: https://devops.com/aws-extends-agentic-ai-capabilities-of-kiro-developer-tool-to-improve-code-quality/

Comments URL: https://news.ycombinator.com/item?id=47144214

Points: 1

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Article URL: https://meta.stackoverflow.com/questions/438177/new-site-design-and-philosophy-for-stack-overflow-starting-february-24-2026-at

Comments URL: https://news.ycombinator.com/item?id=47144191

Points: 2

# Comments: 0

Hey Folks!

I just wanted to show a new platform I'm developing with some friends. We have this platform that transform long form content into short form with a few clicks. We have been running in Brazil over the last year and are in the process of making this into an international venture.

Hope you like it! I'm also available for suggestions and feedbacks!

Comments URL: https://news.ycombinator.com/item?id=47144183

Points: 1

# Comments: 0

The company has doubled its operating area for robotaxi services over the past several months.

Article URL: https://www.usebruno.com/migrate

Comments URL: https://news.ycombinator.com/item?id=47144163

Points: 2

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