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Article URL: https://www.theaithinker.com/p/how-to-elevate-visual-storytelling

Comments URL: https://news.ycombinator.com/item?id=46950719

Points: 1

# Comments: 0

Built this for myself. I never listen back to voice memos but I keep recording them. DayTape transcribes and finds patterns across entries. iOS, free for 20 entries.

Comments URL: https://news.ycombinator.com/item?id=46950714

Points: 1

# Comments: 0

Users won't see flagged sensitive content, will lose access to age-restricted servers and be unable to host Stage livestreaming events.&

Hi all,

I've been part of the Hacker News community since 2009 (under a different profile, latchkey), and over the years I've accumulated many ideas for improving the experience. I've used HNES, Refined Hacker News, and other extensions, and saved countless ideas along the way. Many promising projects were eventually abandoned. That may happen here too, but this is something I've wanted to explore personally for a long time. With AI making experimentation easier, now feels like the right time to do it.

The goal isn't to redesign Hacker News. Its minimal UX works, and no one wants to relearn an interface that already does the job. Instead, this project focuses on small, thoughtful improvements—adding features and polish that make HN more pleasant to use without changing its core.

I'm also interested in exploring social features. HN is already a massive social network, but interactions feel fragmented. There's room for tools that make engagement richer, not through obvious features like live chat, but through more creative, viral ideas I plan to experiment with.

Take a look, feedback welcome!

Comments URL: https://news.ycombinator.com/item?id=46950711

Points: 1

# Comments: 0

Article URL: https://buttondown.com/jaffray/archive/expectation-and-copysets/

Comments URL: https://news.ycombinator.com/item?id=46950690

Points: 1

# Comments: 0

Hi HN, we built PaperPod: agent-native sandboxes for code execution, live URLs, browser automation, LLM inference, persistent memory, with 50+ built-in tools (ffmpeg, sqlite, etc.) - all via our CLI tool or HTTP endpoints.

The problem: Existing infra tools require SDK setup, API keys, or clicking through UIs, things agents can't do well.

What we built: On-demand sandboxes accessible via our CLI or HTTP endpoints. Try it right now with any coding agent:

npm install -g @paperpod/cli ppod login your@email.com ppod help

What's included: - Code execution (Python, JS, shell) - Live preview URLs - Persistent memory (10MB, survives restarts) - LLM Inference - Browser automation (screenshots, PDFs, scraping via Playwright) - 50+ tools (ffmpeg, sqlite, git, pandoc, imagemagick)

$5 free credits on signup (~14 hours), no credit card required. Built on Cloudflare Containers.

Quick Demo with OpenClaw: https://youtube.com/shorts/gTbyz26mPxk?feature=share

What would make this more useful for your agent workflows?

Comments URL: https://news.ycombinator.com/item?id=46950654

Points: 1

# Comments: 1

Article URL: https://ksaweryskowron.substack.com/p/cycle-time-is-not-a-number

Comments URL: https://news.ycombinator.com/item?id=46950646

Points: 1

# Comments: 0

Understand the architecture, implementation, and maintenance of EDR, SIEM, and SOAR tools to optimize security workflows and ensure resilience.

Article URL: https://www.businessinsider.com/instagram-meta-working-on-internal-prototype-disappearing-messages-snapchat-2026-2

Comments URL: https://news.ycombinator.com/item?id=46950028

Points: 1

# Comments: 0

Article URL: https://briefings.canaryiq.com/p/the-invisible-governor

Comments URL: https://news.ycombinator.com/item?id=46950011

Points: 1

# Comments: 0

Article URL: https://dnedic.github.io/blog/firmware-linker-script-generation/

Comments URL: https://news.ycombinator.com/item?id=46950010

Points: 1

# Comments: 0

Hey HN! We're Roanak and Andrew from Trainy (YC S23). We build GPU infrastructure for ML teams (scheduling multi-node training jobs on Kubernetes). When Neptune announced they're shutting down, our customers didn't have a clear path forward. The alternatives exist but none of them matched the UI experience Neptune had, especially at scale. So we decided to build Pluto.

Pluto is an open-source experiment tracker based on our fork of MLOp. The main idea is that you can add one import alongside your existing Neptune code and it logs to both platforms simultaneously. You validate that everything matches on real training runs, then when you're ready, set an env var and all Neptune API calls redirect to Pluto. We also built a Neptune exporter for historical runs.

We're focusing heavily on having a UI that stays responsive at scale, since ML teams can have thousands of runs per project and the tracker is open all day. If you find anything slow or buggy in the playground, we'd love to hear about it.

Beyond the compatibility layer, we're working on: tensor logging with on-the-fly visualization (log raw tensors instead of pre-rendered plots), code diffing between runs, and Linear/Jira integration. We just shipped Pluto MCP in alpha, which lets you query experiment data with an LLM.

Live playground (no signup): https://demo.pluto.trainy.ai/o/dev-org/projects/my-ml-projec...

Quickstart: https://docs.trainy.ai/pluto/quickstart

Listed on Neptune's official transition hub: https://docs.neptune.ai/transition_hub/migration/to_pluto

Let us know what you think! We'd especially love feedback from anyone managing experiment tracking across a team.

Comments URL: https://news.ycombinator.com/item?id=46950009

Points: 1

# Comments: 0

Article URL: https://www.bloomberg.com/news/articles/2026-02-09/alphabet-mandates-banks-for-rare-100-year-sterling-bond

Comments URL: https://news.ycombinator.com/item?id=46950003

Points: 1

# Comments: 0

Article URL: https://zachwills.net/building-at-the-speed-of-thought/

Comments URL: https://news.ycombinator.com/item?id=46949978

Points: 1

# Comments: 0

Article URL: https://www.tyla.com/news/super-bowl-ring-doorbell-ad-privacy-concerns-099156-20260209

Comments URL: https://news.ycombinator.com/item?id=46949969

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=163MUrEoj5Y

Comments URL: https://news.ycombinator.com/item?id=46949957

Points: 1

# Comments: 0

Article URL: https://github.com/youngkent/clawtime

Comments URL: https://news.ycombinator.com/item?id=46949945

Points: 1

# Comments: 0

Article URL: https://sdfprotocol.org/

Comments URL: https://news.ycombinator.com/item?id=46949915

Points: 1

# Comments: 1

I built llm-use, an open-source tool to run AI agent workflows across multiple LLMs with routing and cost optimization.

Repo: https://github.com/llm-use/llm-use

OpenClaw-style agents are powerful but get expensive if every step runs on a single high-end model. llm-use helps by: • using a strong model only for planning and final synthesis • running most steps on cheaper or local models • mixing local and cloud models in the same workflow

Example:

python3 cli.py exec \ --orchestrator anthropic:claude-4-5-sonnet \ --worker ollama:llama3.1:8b \ --task "Monitor sources and produce a daily summary"

This setup keeps long-running agents predictable in cost while preserving quality where it matters.

Feedback welcome.

Comments URL: https://news.ycombinator.com/item?id=46949890

Points: 1

# Comments: 0