Hacker News

Article URL: https://www.macrumors.com/2026/07/15/crashstealer-mac-malware/

Comments URL: https://news.ycombinator.com/item?id=48936416

Points: 1

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Article URL: https://gardinerbryant.com/is-denuvos-dominance-finally-beginning-to-crack/

Comments URL: https://news.ycombinator.com/item?id=48936415

Points: 1

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Article URL: https://www.bbc.com/news/articles/c0m7n427xd8o

Comments URL: https://news.ycombinator.com/item?id=48936407

Points: 2

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Article URL: https://genception.github.io/

Comments URL: https://news.ycombinator.com/item?id=48936391

Points: 1

# Comments: 0

GUI disk analyzers are great for figuring out what's filling up your laptop/desktop drive.

On containers or remote servers, the options are limited to purely text based utilities (e.g. du) or list-centric TUIs (e.g. ncdu) which are usually limited to viewing one directory at a time.

I created leaves to fill that gap.

Inspired by classic utilities like WinDirStat and KDirStat, it uses a 2-dimensional treemap^1 visualization to show the entire directory hierarchy with proportionally sized rectangles.

It's performant enough to handle millions of files, thanks to Rust and multi-threading. However, block characters aren't as suited as pixels for resolving a large number of items. Leaves can show file-type summaries per directory or partition the top-level directories by extension, allowing you to see not only where space is being used, but also how.

For instance, I can see the largest chunk of my home directory is taken up by uv caches for python and old Linux ISOs that I could easily re-download if needed. Or in a particular container, +600MB is used by standard Rust documentation and tutorials, and that it is the only location with HTML/JS files, when only the libraries and build tools are needed (note to self: remember to use the minimal profile next time).

^1: https://github.com/shundhammer/qdirstat/blob/master/doc/Tree...

Comments URL: https://news.ycombinator.com/item?id=48936389

Points: 1

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Article URL: https://medium.com/@datavector/nasa-never-said-sanskrit-was-the-best-programming-language-7d08d7e9f53d

Comments URL: https://news.ycombinator.com/item?id=48936387

Points: 1

# Comments: 0

Hey HN, we’re Xia and Varun, the founders of Traceforce (https://www.traceforce.ai/). Traceforce provides visibility and control over AI apps such as ChatGPT, Claude etc directly on all devices (laptops, sandboxes, virtual machines) by discovering not just which apps are being used but also how they are connected to other data sources via MCPs. We also have an open-source dynamic MCP pentesting tool https://github.com/traceforce/mcp-xray to detect vulnerable MCPs.

The purpose of Traceforce is to: 1. Give a company’s employees a standardized way to ensure that AI software running on their device is operating safely 2. Give the company’s security team visibility of the activities of AI software on the company’s devices, and to detect and prevent unsafe actions and security breaches as early as possible.

How Traceforce works 1. Traceforce is installed on each device as a lightweight binary and browser extension. 2. Within 30 minutes, the device is uploading live data to the company profile, displaying all the AI agents/apps running across all company devices on a dashboard. 3. Company security staff can monitor the activity of all the agents in real time, implement controls, and be alerted to any security risks as soon as they appear.

Here’s the video demo: https://youtu.be/IdK2WKg7kaM

The inspiration for Traceforce came via Xia’s experience as Director of Engineering at a startup called Clumio (which was acquired by Commvault in Oct 2024). Being able to monitor how team members are using AI without slowing them down was a top priority at Clumio. After speaking with 50+ CISOs and CIOs, it became clear that this is a much-needed solution right now across industries. We keep hearing that new AI features are being adopted so quickly and so broadly that visibility and control just can't keep up.

Traceforce is transparent about what we monitor and collect. By default, Traceforce collects only metadata and telemetry about the AI applications, MCPs, and tools running on a device. Security teams can enable options to inspect tool calls for the purpose of detecting, warning on, or blocking predefined high-risk or potentially destructive actions. All content inspection happens locally on the device. User prompts are never stored unless explicitly configured by the organization's security administrators.

We work closely with end-users of the product, and once they understand what is being monitored/shared, they actually have great comfort that they have a powerful layer of protection on their device to prevent security incidents. It enables them to just focus on their work without worrying about what leaks and breaches may be happening under the hood without their awareness.

Traceforce is currently deployed across more than 1,000 devices at 10 organizations. On average, we discover over 15 AI applications per device with each application connected to 5-10 MCPs. We've helped customers identify exposed plaintext secrets in MCP configurations, prevent API keys from leaking through AI-generated code, and warn developers before executing potentially destructive commands such as “DROP TABLE”. Our "warn and acknowledge" approach has been especially well received, giving developers the freedom to work while helping them avoid costly mistakes.

We're looking to work with security, IT, and AI platform teams at small to medium enterprises (200+ employees) that are rapidly adopting AI coding assistants, ChatGPT, Claude, and MCPs. If you're struggling to understand what AI tools people use to boost their productivity or need a practical way to reduce AI-related security risk without slowing folks down, we'd love to talk.

You can get started with a free trial at https://www.traceforce.ai or reach out directly to schedule a demo and discuss your environment. Finally pricing is per device, but the exact amount is still TBD. Currently we are thinking $15/month per device but that may change.

Comments URL: https://news.ycombinator.com/item?id=48936384

Points: 1

# Comments: 0

Get everything out of your head, shape it when you're ready, and find it when it matters. Dotflowy is a calm, fast outliner that keeps up with the way you think. Created in the likeness of Workflowy but with the plugin extensibility of Obsidian and the beauty of Linear. MCP compatible.

invite code: "jesus-saves"

Comments URL: https://news.ycombinator.com/item?id=48936366

Points: 1

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Article URL: https://www.economist.com/science-and-technology/2026/07/15/the-rate-at-which-earth-is-absorbing-energy-is-alarming-climate-scientists

Comments URL: https://news.ycombinator.com/item?id=48936348

Points: 1

# Comments: 1

Article URL: https://snippai.dev

Comments URL: https://news.ycombinator.com/item?id=48936307

Points: 1

# Comments: 1

Article URL: https://webbynode.com/articles/akamai-changed-how-it-bills-new-compute-this-month-july-2026-heres-what-that-meant-for-our-dataset

Comments URL: https://news.ycombinator.com/item?id=48936302

Points: 1

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Article URL: https://imrannazar.com/articles/c64-pongwars

Comments URL: https://news.ycombinator.com/item?id=48936299

Points: 1

# Comments: 1

Article URL: https://slashfriends.org/

Comments URL: https://news.ycombinator.com/item?id=48936250

Points: 1

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Article URL: https://twitter.com/ab44997/status/2077782776275718429

Comments URL: https://news.ycombinator.com/item?id=48936239

Points: 1

# Comments: 1

We just open sourced a first class our AI web app builder.

Instead of using another hosted AI coding platform, you can fork this project and build your own AI app builder, fully customized and running under your own brand.

It includes:

Next.js + TypeScript AI chat with streaming Artifact generation File explorer Code editor Live preview Databases Sandboxes to be used by AI agents Versions Responsive production-ready UI And a lot more...

The only required dependency is the Totalum API, which exposes the AI generation engine through a simple REST API. You can replace or extend the backend however you want.

It's designed for developers, SaaS companies and agencies that want to:

Build their own AI app builder Add AI app generation to an existing product Create a white label AI builder Customize every part of the UI and workflow Self host the frontend

We use the same frontend in production, and decided to open source it so others don't have to start from scratch.

Repository: https://github.com/totalumlabs/ai-app-builder-open

I'd love feedback, feature requests, or ideas from the HN community.

Comments URL: https://news.ycombinator.com/item?id=48936225

Points: 1

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Article URL: https://github.com/chattymin/PokeTokenBar

Comments URL: https://news.ycombinator.com/item?id=48936171

Points: 1

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Article URL: https://chipmotors.com/

Comments URL: https://news.ycombinator.com/item?id=48936155

Points: 1

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Article URL: https://localghost.dev/blog/everything-i-googled-in-a-week-as-a-professional-software-engineer/

Comments URL: https://news.ycombinator.com/item?id=48936143

Points: 1

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Article URL: https://www.sciencedaily.com/releases/2026/07/260712011757.htm

Comments URL: https://news.ycombinator.com/item?id=48935618

Points: 1

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Article URL: https://huggingface.co/blog/security-incident-july-2026

Comments URL: https://news.ycombinator.com/item?id=48935615

Points: 1

# Comments: 0