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Moozonian News
chromewebstore.google.com• Dec 17, 2025• 1 min read
Show HN: Better Gmail Tabs – turn search queries into tabs for fast email loadGithub repo: https://github.com/jharohit/better-gmail-tabsGiven how we use widescreen aspect ratios today, a tab interface has been significantly more faster to separate out emails quickly!~~~~~Key Features:- Custom Tabs: Create tabs for any Gmail label or search query.- Seamless Integration: Tabs appear directly in the Gmail interface for quick access.- Customization: Rename tabs and change their text/background colors to organize your workflow visually.- Automatic Coloring: New tabs are automatically assigned unique, complementary color combinations (random background with high-contrast text) so you don't have to manually pick colors every time.- Context Menu: Right-click any tab to rename, recolor, or delete it. Admin Panel: Click the settings gear icon to manage all your tabs in one place.- Smart Navigation: Automatically detects if you are viewing a label or a search result when creating a tab.- Export & Import: Backup your tab configurations or share them across devices using JSO
Moozonian News
github.com• Dec 17, 2025• 1 min read
Show HN: Clamp – Git-like version control for RAG vector databases (CLI/Python)Hi HN,I built this because I thought it was weird that we treat vector DBs like mutable buckets instead of versioned knowledge bases. RAG apps break easily when embeddings drift, and I wanted `git checkout` for my vectors.Clamp lets you commit and rollback your vector DB state without copying data. It works by managing metadata flags on points, so "rollbacks" are just instant filter updates, even for large collections.Basic flow: $ clamp init $ clamp commit docs.txt my_kb "v1 - initial" $ clamp checkout my_kb HEAD~1 # Instant revertIt's a CLI/Python wrapper around Qdrant right now. I'm a student at UW and built this to learn more about vector storage internals.Code: https://github.com/athaapa/clamp PyPI: https://pypi.org/project/clamp-rag/Happy to answer questions about the implementation!
Moozonian News
news.ycombinator.com• Dec 17, 2025• 1 min read
Choosing the Right Stainless Steel Utility Sink for Heavy-Duty UseIn industrial and commercial environments, every piece of equipment plays a role in keeping operations efficient, safe, and hygienic. Among these essentials, the utility sink often works quietly in the background, yet it supports countless daily tasks. From manufacturing plants to commercial kitchens and maintenance workshops, choosing the right stainless steel utility sink for heavy-duty use can make a measurable difference in workflow and durability.Heavy-duty environments place higher demands on sinks than residential spaces. They are used for washing tools, handling raw materials, cleaning components, and managing waste liquids. A well-designed sink must withstand frequent impact, exposure to chemicals, and constant moisture without compromising performance or hygiene. This is where stainless steel stands out as a preferred material across the metal fabrication and industrial equipment sectors.One of the first factors to consider is material grade and thickness. Industrial-grade st
Moozonian News
news.ycombinator.com• Dec 16, 2025• 1 min read
Are Andrew Ng courses for entering the AI field worth it to respecialize?I have 8 years of development experience with PHP, React, React Native, and honestly it's time to respecialize. AI Agents made the market more competitive, i struggle to find a good salary, and anyways I'd like to accumulate enough for a strong CV to be hired by a US company and migrate there with a work visa. I started the most basic of his courses which have linear regression models, gradient descent, and needs knowledge on algebra and calculus for limits and derivatives. This is quite a steep learning curve for me as i needed really to get up to date with maths. I never went to college, always learned everything online. Is this the best way to enter? The most robust one, for those of us who have ambitions to become very serious and involved engineers that want to create big things? (Not somebody that just wants to land a comfy job, working cozily without too much effort)
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Moozonian News
github.com• Dec 16, 2025• 1 min read
Show HN: Stop AI scrapers from hammering your self-hosted blog (using porn)Alright so if you run a self-hosted blog, you've probably noticed AI companies scraping it for training data. And not just a little (RIP to your server bill).There isn't much you can do about it without cloudflare. These companies ignore robots.txt, and you're competing with teams with more resources than you. It's you vs the MJs of programming, you're not going to win.But there is a solution. Now I'm not going to say it's a great solution...but a solution is a solution. If your website contains content that will trigger their scraper's safeguards, it will get dropped from their data pipelines.So here's what fuzzycanary does: it injects hundreds of invisible links to porn websites in your HTML. The links are hidden from users but present in the DOM so that scrapers can ingest them and say "nope we won't scrape there again in the future".The problem with that approach is that it will absolutely nuke your website's SEO. So fuzzycanary also checks user agents and won't show the links to l
Moozonian News
news.ycombinator.com• Dec 16, 2025• 1 min read
Ask HN: How are you LLM-coding in an established code base?Here’s how we’re working with LLMs at my startup.We have a monorepo with scheduled Python data workflows, two Next.js apps, and a small engineering team. We use GitHub for SCM and CI/CD, deploy to GCP and Vercel, and lean heavily on automation.Local development: Every engineer gets Cursor Pro (plus Bugbot), Gemini Pro, OpenAI Pro, and optionally Claude Pro. We don’t really care which model people use. In practice, LLMs are worth about 1.5 excellent junior/mid-level engineers per engineer, so paying for multiple models is easily worth it.We rely heavily on pre-commit hooks: ty, ruff, TypeScript checks, tests across all languages, formatting, and other guards. Everything is auto-formatted. LLMs make types and tests much easier to write, though complex typing still needs some hand-holding.GitHub + Copilot workflow: We pay for GitHub Enterprise primarily because it allows assigning issues to Copilot, which then opens a PR. Our rule is simple: if you open an issue, you assign it to Copilot.
Moozonian News
github.com• Dec 16, 2025• 1 min read
Show HN: Pokémon Claude skill (emulates Pokémon itself using Claude Code.)I created a Pokémon Claude skill. This skill is not about controlling an emulator with Claude; it’s a project that emulates Pokémon itself using Claude Code.As I mentioned in the README, this is an experimental project. To make it properly, the prompt would need to be refined further, and in some ways it also depends on future model improvements.Until now, I hadn’t really used Claude Code. While using it, it was my first time having an opportunity to spend this many tokens. Out of that, and from a mix of different daydreams and ideas that came to mind, this project happened. The things I found myself thinking about were: 1. I once read an article along the lines of “What if computing resources were infinite,” and it stuck with me. • If I had unlimited tokens (both context and usage), and an infinitely fast LLM, what could I do? 2. Simulating a computer inside Minecraft. 3. A colleague’s idea of wanting to make a game with Claude led me to wonder: what if Claude itself became the game?