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The article discusses Flowboard, an open-source workflow management tool that enables users to create and manage workflows visually. It provides features such as task tracking, team collaboration, and customizable templates to streamline business processes.

The article discusses the potential impact of AI on jobs, noting that while some jobs may be replaced, AI could also create new job opportunities and lead to increased productivity and economic growth. The author argues that the overall effect of AI on employment is complex and may depend on various factors, such as the pace of technological change and the policies implemented to manage the transition.

The article explores the overlooked risk of fetal alcohol syndrome caused by fathers who drink alcohol, highlighting the need for greater awareness and support for men to quit or reduce alcohol consumption before conception.

This article discusses the book 'How They Think', which explores the cognitive processes and decision-making strategies of successful individuals. It provides insights into the mindset and approaches that contribute to personal and professional achievement.

The Boston Aquarium is using a rubber duck to help train a rescued seal named Seal to become more sociable and comfortable around humans, with the goal of eventually releasing the seal back into the wild.

We built an open-source CLI that generates code, runs tests, fixes failures, and gets an independent AI review — all before you see the output. We started with a multi-model pipeline where different AI models handled different stages (architect, implement, refactor, verify). We assumed more models meant better code. Then we benchmarked it: 39% average quality score at $4.85 per run. A single model scored 94% at $0.36. Our pipeline was actively making things worse. So we killed it and rebuilt around what developers actually do when they get AI-generated code: run it, test it, fix what breaks. The Loop generates code, runs pytest automatically, feeds failures back for targeted fixes, and repeats until all tests pass. Then an independent Arbiter (always a different model than the generator) reviews the final output. Latest benchmark across three tasks (simple CLI, REST API, async multi-agent system): Single Sonnet: 94% avg, 10 min dev time, $0.36 Single o3: 81% avg, 4 min dev time, $0.44 Multi-model: 88% avg, 9 min dev time, $5.59 CRTX Loop: 99% avg, 2 min dev time, $1.80 "Dev time" estimates how long a developer would spend debugging the output before it's production-ready. The Loop's hardest prompt produced 127 passing tests with zero failures. When the Loop hits a test it can't fix, it has a three-tier escalation: diagnose the root cause before patching, strip context to just the failing test and source file, then bring in a different model for a second opinion. The goal is zero dev time on every run. Model-agnostic — works with Claude, GPT, o3, Gemini, Grok, DeepSeek. Bring your own API keys. Apache 2.0. pip install crtx https://github.com/CRTXAI/crtx We published the benchmark tool too — run crtx benchmark --quick to reproduce our results with your own keys. Curious what scores people get on different providers and tasks.

This article discusses the launch of a new API platform called 'novadev.vip', which offers a range of features and tools for developers, including access to various data sources and the ability to create custom applications.

The article examines the CIA and MI6's alleged intelligence findings that Russian President Vladimir Putin was planning an invasion of Ukraine as early as 2021, providing a detailed timeline of events leading up to the 2022 Russian invasion of Ukraine.

The article discusses the demise of the 'coding agent' role, which was once prevalent in the tech industry. It explores the evolving nature of software development and the shift towards more specialized and collaborative team structures, moving away from the generalist coding agent approach.

Klarna, a leading fintech company, is exploring the use of AI agents to replace traditional SaaS tools in its customer support operations. The article discusses Klarna's efforts to develop AI-powered agents that can handle a range of customer inquiries and tasks more efficiently than traditional software applications.

The article describes a YAML-based routing system called YAML Schema Router, which allows developers to define their application's routes in a declarative YAML file. The system simplifies route management and promotes consistency across an application's routing structure.

Hi HN,

I built TypstMe because I was frustrated with the current state of resume builders. Most of them are either overpriced monthly subscriptions or tools like Canva that produce absolute-positioned PDFs which ATS (Applicant Tracking Systems) often fail to parse correctly.

The Tech: I wanted the precision of Typst but with a GUI accessible to everyone. The core engine uses Typst compiled to WebAssembly (WASM), allowing for instant, pixel-perfect previews directly in the browser.

Key Features:

1. ATS-First Architecture: Unlike SVG or image-based exports, TypstMe generates clean text nodes that ensure 95%+ parsing accuracy in major ATS platforms.

2. AI Assistance: Integrated an LLM-powered assistant (via Cloudflare Workers) to help with "Executive Tone" and metrics optimization.

3. No Subscriptions: I hate the "pay monthly to search for a job" model. TypstMe is free to try, with a one-time lifetime payment for the Pro features.

Technical Stack:

- Next.js, Supabase, Prisma.

- Typst-ts (WASM).

- AI proxied through Cloudflare Workers for rate-limiting and cost control.

I’m looking for feedback on the editor's UX and the technical rendering performance. I'll be around to answer any questions!

Try it here: https://typstme.ch

Thanks!

I have already worked on this for a week, but it's very hard to define the needs. The idea was to create a fully customized feed (with privacy! nothing is sent to the server), across different platform. Here are some questions that I have encountered:

1. I'm using sentence-transformers/all-MiniLM-L6-v2 for speed (people will never wait seconds for a single page), and every "clusters" are scored based on historical likes/watch/dislike with my custom layout. The thing that I'm not sure here is whether people will accept my layout(for now I was transforming the HN into tiktok-like scrolling experience). 2. Without any data, it's very hard to calibrate the scoring system for the baseline. One thing that I am uncomfortable with current algo-based platforms is that they are rather ignorance on personnal taste. They recommend based on what "others" similars to my taste instead. Anothing is that we can not select the "exploring" level. I think only 10~20% of the feeds on X are "new" to the user, and this proportion is not adjustable at all by the users themselves. However, I am thus not able to get more exploring contents from these websites.

It's quite massy with these two questions, but I really don't know how to continue since there are no existing apps/tools for this at all. If you have any needs, please share it :)

Really need your interaction to see if I should continue on this project or not!!!

It seems like there will be a lot of hardware that gets discarded every couple of years as new, more powerful systems are made available.

AWS put out a video and article on how it recycles a large amount of its hardware, since it is built for maintainability and repairability.

How true is that? Does it apply to other datacenter operators as well?

What will happen to all the parallel compute cards that will get upgraded soon? They can't be reused as GPU's for gamers, can they?

The article discusses the latest developments in machine learning and highlights the potential of using machine learning techniques to advance research in various fields, including medicine and climate science.

The Bollywood epic 'Dhurandhar' has broken box office records in both India and Pakistan, showcasing the growing popularity of Indian cinema across the region and the ability of films to transcend political and cultural boundaries.

I built Velo because I wanted Superhuman's speed and keyboard workflow without the $30/month price tag or sending all my data through someone else's servers.

Velo is a local-first desktop email client. Your emails live in a local SQLite database - no middleman servers, no cloud sync. It works offline and your data stays on your machine.

What makes it different:

- Keyboard-driven - Superhuman-style shortcuts (j/k navigate, e archive, c compose, /search). You can fly through your inbox without touching the mouse - Built with Tauri v2 + Rust backend - ~15MB binary, low memory usage, instant startup. Not another Electron app - Multi-account - Gmail (API) and IMAP/SMTP (Outlook, Yahoo, iCloud, Fastmail, etc.) - AI features (optional) - Thread summaries, smart replies, natural language inbox search. Bring your own API key (Claude, GPT, or Gemini). Results cached locally - Privacy-first - Remote images blocked by default, phishing link detection, SPF/DKIM/DMARC badges, sandboxed HTML rendering, AES-256-GCM encrypted token storage - Split inbox, snooze, scheduled send, filters, templates, newsletter bundling, quick steps, follow-up reminders, calendar sync

Tech stack: Tauri v2, React 19, TypeScript, SQLite + FTS5 (full-text search), Zustand, TipTap editor. 130 test files.

Available on Windows, macOS, and Linux. Apache-2.0 licensed.

GitHub: https://github.com/avihaymenahem/velo Site: https://velomail.app

I'm a solo developer and would love feedback, especially on UX, features you'd want, or if you run into issues. Happy to answer any questions about the architecture or Tauri v2 in general.

The article explores the potential impact of ChatGPT and other AI language models on the writing industry, arguing that the ease and accessibility of these tools have contributed to making writing more replaceable. It suggests that the rise of AI-powered writing tools challenges the traditional notion of authorship and creativity.

The article discusses the importance of 'napkin math' - the ability to quickly perform rough calculations and estimates to solve problems. It emphasizes the value of this skill in various fields, from engineering to business, and provides practical tips for developing and honing these mental calculation abilities.

The article explores the scientific quest to determine the location of heaven, examining various religious and scientific perspectives on the afterlife and the possibility of it existing in another dimension or plane of existence.

Note: I don't own any equity in Meta, or work there, or have a soft corner for them or their competition in any business category.

There's a way to view just your friends' and groups' updates without seeing all the AI doom scrolling stuff.

They are the largest peer to peer marketplace.

They are the most popular platform for organizing groups.

Apparently Facebook dating is popular (maybe someone can comment on that).

If anything, despite all the dark patterns on the Wall, they are only growing and finding new ways to grow more.