Hacker News

Article URL: https://www.theguardian.com/environment/2026/feb/12/bagel-shop-saving-money-emissions-plug-in-batteries-brooklyn-new-york

Comments URL: https://news.ycombinator.com/item?id=47013268

Points: 1

# Comments: 0

Long-time HN lurker, first time poster.

This is something I put together over a few days, it's a simple offline-only screen recorder with webcam compositing that works on any modern desktop browser.

As much as I love Loom to avoid meetings, I don't want to pay for useless features and have my recordings essentially paywalled. I hate SaaS.

With Loom's recent price increase, I thought I'd finally share it. Feedback is welcome

Comments URL: https://news.ycombinator.com/item?id=47013259

Points: 3

# Comments: 0

Isn’t stripes job to simply process payments? What kind of liability would stripe need to account for any merchant processing 1$ on its behalf?

Comments URL: https://news.ycombinator.com/item?id=47013256

Points: 2

# Comments: 0

I stumbled across this tool recently and thought it was worth sharing for anyone managing large codebases or monorepos.

The Problem: We write ADRs (Architectural Decision Records), put them in a folder, and then ignore them. New engineers break architectural rules because they don't know the history.

The Solution: Decision Guardian runs in CI. You define rules (ADRs) linked to file patterns.

What makes it interesting: It goes beyond simple glob matching. You can define rules based on:

Content (Regex): e.g., Alert if someone commits a secret key pattern or a banned function.

Structure (JSONPath): e.g., Watch $.dependencies in package.json to prevent library drift.

Location (Line Range): Protect the first 50 lines of a legacy file.

It’s open source and there's a helper site to generate the rule configs: https://decision-guardian.decispher.com/

Comments URL: https://news.ycombinator.com/item?id=47013210

Points: 1

# Comments: 0

Article URL: https://www.businessinsider.com/meta-granted-patent-for-ai-llm-bot-dead-paused-accounts-2026-2

Comments URL: https://news.ycombinator.com/item?id=47013208

Points: 1

# Comments: 0

Hi HN — I’m the founder of ChexHQ.

We’re building a financial decision intelligence platform for finance teams that are tired of spreadsheet-heavy forecasting and manual consolidation.

The goal: help finance leaders get real-time visibility into runway, cash flow, and key metrics without building complex models from scratch.

We’re early and would love feedback — especially from CFOs, finance managers, or operators here.

What would make something like this genuinely useful for you?

Comments URL: https://news.ycombinator.com/item?id=47013187

Points: 1

# Comments: 0

Article URL: https://www.helionenergy.com/articles/helion-achieves-new-fusion-energy-milestones/

Comments URL: https://news.ycombinator.com/item?id=47013136

Points: 1

# Comments: 0

Article URL: https://pydissem.rgoswami.me/

Comments URL: https://news.ycombinator.com/item?id=47013134

Points: 1

# Comments: 0

Hi! I built Cute Magick because I wanted the simplicity & power of early web dev, but not the fragility.

It's an open source, self-hostable web host where your sites are plain folders of real code — HTML, PHP, Python, Node, Lua, SQL — and every file save creates a snapshot you can preview and rewind in one click.

No build steps, no abstractions. (Literally -- these are per-request runtimes).

Source: https://github.com/pinkhairs/cutemagick

Site: https://cutemagick.com

Docs: https://pixelswithin.notion.site/Cute-Magick-Docs-2fdb91326d...

Comments URL: https://news.ycombinator.com/item?id=47013131

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=47013110

Points: 1

# Comments: 0

Article URL: https://www.nytimes.com/2026/02/14/business/china-chips-nvidia-huawei.html

Comments URL: https://news.ycombinator.com/item?id=47013101

Points: 1

# Comments: 2

My father thinks in Bengali, but typing in native script is painful. Virtual keyboards are slow, punctuation is a maze, and switching between languages breaks flow. For formal writing — emails, letters, posts — it was exhausting.

So I built him a tool where he could just speak.

He dictated a two-page letter in Bengali, read the transcription, and said: "I didn't even need to change a single comma."

That's when I knew this needed to exist.

Parrot transcribes and translates speech in 11+ Indian languages. The difference: it's significantly more accurate than Whisper on Hindi, Tamil, Telugu, Bengali, and handles code-mixed speech (Hinglish, etc.) naturally. Outputs in native scripts (নমস্কার not "nomoshkar") or Romanized.

Sits in your menu bar. Press a hotkey, speak in any app — WhatsApp Web, Word, Slack, browsers. It writes.

Built for everyone who thinks in their language but struggles with virtual keyboards that don't correct grammar or formatting.

Desktop app for Windows & macOS. Free to try.

Shipping improvements weekly. Would love feedback from anyone dealing with multilingual input.

Comments URL: https://news.ycombinator.com/item?id=47013088

Points: 1

# Comments: 0

Article URL: https://techxplore.com/news/2026-02-flattery-debate-ai-mirror-human.html

Comments URL: https://news.ycombinator.com/item?id=47013073

Points: 1

# Comments: 0

Hi HN — I built cgrep, a local-first, code-aware search tool for AI coding agents (and humans).

The goal is to reduce noisy retrieval loops and token waste in real repositories. cgrep combines BM25 + tree-sitter symbol awareness, with optional semantic/hybrid search, and returns deterministic JSON for agent workflows.

What it does: - Code navigation: definition, references, callers, dependents - Focused context tools: read, map - Agent flow: `agent locate` -> `agent expand` (small payload first, expand only selected IDs) - MCP support: `cgrep mcp serve` + host install helpers - Agent install support: claude-code, codex, copilot, cursor, opencode

Benchmark snapshot (PyTorch, 6 implementation-tracing scenarios): - Baseline (`grep`) tokens-to-complete: 127,665 - cgrep (`agent locate/expand`) tokens-to-complete: 6,153 - 95.2% fewer tokens (20.75x smaller) - Avg retrieval latency to completion: 1321.3ms -> 22.7ms (~58.2x faster after indexing)

Links: - Repo: https://github.com/meghendra6/cgrep - Docs: https://meghendra6.github.io/cgrep/ - Benchmark method/results: https://meghendra6.github.io/cgrep/benchmarks/pytorch-agent-...

I’d really appreciate feedback on: - Real-world agent workflows I should benchmark next - MCP/agent integrations I should add - Cases where cgrep retrieval quality still falls short

Comments URL: https://news.ycombinator.com/item?id=47013067

Points: 2

# Comments: 0

Article URL: https://infosec.exchange/@mttaggart/116065340523529645

Comments URL: https://news.ycombinator.com/item?id=47013059

Points: 3

# Comments: 0

Article URL: https://www.openfirmware.info/

Comments URL: https://news.ycombinator.com/item?id=47013042

Points: 1

# Comments: 0

Article URL: https://cybrkyd.com/post/showcasing-my-git-repositories-on-the-web/

Comments URL: https://news.ycombinator.com/item?id=47013040

Points: 1

# Comments: 0

Article URL: https://github.com/edelprino/DCIEM

Comments URL: https://news.ycombinator.com/item?id=47013030

Points: 1

# Comments: 0

Article URL: https://www.scientificamerican.com/article/mathematicians-launch-first-proof-a-first-of-its-kind-math-exam-for-ai/

Comments URL: https://news.ycombinator.com/item?id=47013001

Points: 1

# Comments: 1

Article URL: https://hrml.dev

Comments URL: https://news.ycombinator.com/item?id=47012998

Points: 1

# Comments: 1