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News for “levels”
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github.com• Mar 5, 2026• 1 min read
Show HN: Simvyn – Universal mobile devtool, no SDK requiredHey HNI've been building mobile apps for half a decade. There are so many moments where you need to quickly check something — how does this screen look on a 12-inch device? Does the layout break in German where translation strings are twice as long? Does the geo feature work when the user is in Tokyo?Then there's the everyday stuff — clearing app data to re-test onboarding, installing a fresh build on three devices at once, toggling dark mode to check contrast, sending a test push notification with a specific payload, grabbing screenshots for the App Store listing, checking what's actually in the local SQLite database when state looks wrong.Each of these is a few terminal commands, a trip to Xcode/Android Studio, or some menu buried three levels deep. Over the years I wrote a lot of bash scripts. Then bash aliases. Then more scripts to chain the aliases together.To consolidate all of that and make the DX actually pleasant, I built Simvyn — a local web dashboard + CLI that wraps simctl,
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arvindrajnaidu.github.io• Mar 2, 2026• 1 min read
Show HN: Dungeon Coverage – Unit testing as a dungeon crawlerEach level is a JS function turned into a dungeon. if/else = forking paths, loops = corridors, try/catch = parallel chambers.You forge test inputs as weapons, drag them into parameter slots, and run. Your hero walks the code path. Gems = covered statements. 100% = level complete.Six levels, from simple branches to async functions with stubs.Play: https://arvindrajnaidu.github.io/dungeon-coverage/ Source: https://github.com/arvindrajnaidu/dungeon-coverageBuilt with PIXI.js, Istanbul for coverage, and [maineffectjs](https://github.com/arvindrajnaidu/maineffect) for isolated function execution.
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github.com• Feb 25, 2026• 1 min read
Show HN: TMDD – continuous threat modelling that makes your code more secureMy name is Mikolaj and I built tmdd tool, a CLI that keeps an up-to-date threat model of your app (in YAML format) in your repo and generates security-aware prompts for AI coding agents. Here's why:I am a security engineer. Oftentimes I observed situations where "technical" security levels were pretty high, but the business logic and authorization related issues made the apps pretty vulnerable. In my experience, no SAST or DAST is able to spot this kind of issues; some of them might be captured during the pentests, but the pentests are time-boxed, so you never have the guarantee that everything was thoroughly analysed.That's why I decided to build this framework (name TMDD is a shortcut for Threat Modeling Driven Development, but it's more than that).How it works: 1. you init the threat model with tmdd init command - the yaml files that describe the threat model are created in your repo (either empty or from the template). 2. you load threat modeling skill into your coding agent - I te
Moozonian News
moon.oddurs.com• Feb 24, 2026• 1 min read
Show HN: Interactive 3D Moon with real NASA data and WebGPUA photorealistic Moon viewer running entirely in the browser. WebGPU primary renderer with WebGL 2 fallback.- NASA CGI Moon Kit textures served via a quadtree LOD tile system - Oren-Nayar BRDF (lunar regolith is non-Lambertian with strong backscatter) - Sun position calculated from astronomy-engine (±1 arcminute) - Scrub through the full lunation cycle or watch in real time - Earth and Tycho-2 starfield in the backgroundTech: Three.js with TSL shaders (compile to both WGSL and GLSL), React Three Fiber, Vite. The shading model was the most interesting part — standard PBR looks completely wrong for the Moon because regolith doesn't have a specular lobe; it actually gets brighter at opposition (the "opposition surge"). Oren-Nayar gets close enough for a web visualization.Tile system is a geodetic quadtree similar to CesiumJS's approach. Zoom level picks based on screen-space error. Currently 7 levels deep which gets you to ~4 km/pixel at max zoom.Would love feedback, especially from anyon
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news.ycombinator.com• Feb 21, 2026• 1 min read
A perceptual-first mobile audio DSP experimentHi HN,I’ve been working on a long-running personal DSP experiment that started from a simple observation: most real-world listening happens on constrained systems — phone speakers, budget earbuds, car audio, Bluetooth, and heavily compressed streams. In that environment, “accurate” or “flat” processing often doesn’t survive contact with reality.Instead of optimizing for frequency response, I tried optimizing for perceptual survival under constraints. The system is built around a few principles:• Virtual pitch / harmonic reconstruction to preserve perceived low-end on small transducers • Targeted removal of low-mid intermodulation zones that create perceived “mud” on cheap hardware • A biologically-informed notch around the ear-canal resonance region to reduce fatigue at higher listening levels • Minimum-phase, high-headroom internal processing to preserve transient coherence • Treating codecs, OS mixers, and streaming artifacts as first-class constraints, not edge casesThe interesting
Moozonian News
cocomusic.app• Feb 20, 2026• 1 min read
Show HN: Coco Ear Training – a research-backed ear training app for musiciansHey HN, I'm Marco, a musician and developer. I built Coco because every ear training app I tried felt like a random quiz generator with no actual pedagogy behind it.*What it is:* A mobile app (iOS/Android) with structured courses for ear training (intervals, chords, scales, relative pitch, and pitch recognition). Sessions are 2–5 minutes. Levels unlock sequentially, each one designed with a specific learning goal.*How I got here:* I spent a long time going through the research literature on pitch perception and aural skill acquisition (Levitin, Zatorre, Deutsch, and others). A few findings shaped the whole design: 1. Isolated interval drills barely transfer to real musical listening. Tonal context matters. 2. You learn faster when you start with maximally contrasting sounds and gradually introduce similar ones ("contrast before similarity"). 3. Short daily sessions with spaced repetition outperform long sporadic ones. 4. Most people conflate ear training with perfect pitch. Relative pi
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arcraiders.website• Feb 20, 2026• 1 min read
Show HN: Arc Raiders companion – Quest tracker,maps,crafting and bots weaknessesA fan-made tactical resource for ARC Raiders players. Built from playtest/open data, it includes:Full item database (499+ items) with loot sources, values, keep/sell/recycle adviceInteractive zone maps (Dam, Buried City etc.) showing danger levels & loot categories80+ active quests with requirements & rewardsMachine behaviors & weaknesses (Drones, Walkers, Titans)Crafting recipes, weapon classes, Hideout upgrade pathsLatest intel, patch notes & roadmap updatesNo affiliation with Embark Studios – just a community tool to help Raiders extract more efficiently and die less. Feedback welcome: missing data, UI suggestions, or want to contribute field reports? Drop a comment or hit the Contribute section on the site. Would love to hear how it helps (or doesn't) in your runs.
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news.ycombinator.com• Feb 17, 2026• 1 min read
Show HN: Decision OS – A framework to evaluate job offer risk (not just salary)Hello HN,A few days ago I shared my "Should I Quit?" calculator. The most common feedback was: "Okay, I should quit, but how do I know the next thing isn't worse?"So I built Part 2: The Offer Evaluator.Most offer comparison tools just look at Total Comp or commute time. I wanted to model the structural risks of a career move using a weighted decision matrix.The Methodology: The "Decision OS" compares three states: Current Role vs. New Offer vs. The Market (Keep Searching). Instead of just looking at cash, it scores them on: Reversibility: If this role is a catastrophe, how hard is market re-entry? (High reversibility = lower risk). Sustainability: Calculated based on the gap between your current burnout levels and the new role's expected operational tempo. Downside Safety: Modeling the stability of the new company's runway vs. your current role. It produces a PDF "Dossier" that breaks down these variables so you can see the trade-offs clearly.I’m curious if you think "Reversibility" sh
Moozonian News
reclaimr.dev• Feb 13, 2026• 1 min read
Show HN: Reclaimr – An offline crossplatform desktop app for cleaning dev cachesHey all, I just shipped the beta of a side project I've been working on.My M1 Macbook Pro was always full despite having a 1TB drive so I prototyped a simple Python script that knew about as many standard cache locations that I could think of. Cleared out over 300GB of space in one go. If you only work in one language you probably know the common caches, but I am using a lot of different languages all the time, and there are too many to remember.I always wanted to give Tauri a try so I ported my script to Rust and added a bunch of features. It uses React and Tailwind Plus components for the frontend.Reclaimr is an offline desktop app that scans your machine for development caches (node_modules, target/, .venv, build artifacts, Docker layers, Xcode caches, etc.) and lets you reclaim the disk space safely. It finds stuff across 100+ tools and shows you exactly what it'll delete before it does anything, with risk levels so you don't nuke something important.You can add project search path
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news.ycombinator.com• Jan 30, 2026• 1 min read
Thoughts on AI/LLM usage from a 25 year industry vetI've been programming since 1997. I've worked in the trenches at international e-commerce companies, lead dev teams at startups, everything in between. I now run a web dev company (not linked cause I'm not tryna drum up new business with "content"). I give webinars. I speak at events. I've been around.So it's from a place of wisdom when I say it's been impossible for me to ignore how absolutely world-destroying AI/LLM technology is on so very many levels. Not just for coders. The whole of it. The environmental impact, the global job market, education; it's truly catastrophic, our industry is embracing it, and don't understand why. We of all people should know better.That's not even taking into account their efficacy, or lack thereof. I do my best to keep up. I've listened with an open mind to what advocates have to say. I've held my nose and experimented with them in a variety of ways; vibe coding, small fns, proposals, research, etc. I've tried to engineer better prompts with rubrics
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Moozonian News
news.ycombinator.com• Jan 30, 2026• 1 min read
Thoughts on ICElistI saw ICElist mentioned again today, so I thought I would try to access it again (it was initially overwhelmed with traffic).It is a mediawiki site (woo hoo!). BUT I wanted to see what actual information it contains and how I might be able to contribute from afar.I started with the Agent pages. There are 1574 Agents on the wiki as I type this and I randomly chose about a dozen to click on. Every single one has nothing except for a link to the person's LinkedIn profile where they presumably self identify. Fine, but hardly that interesting. Many agents do have unusual names that lend themselves to digging up more details online.The Incidents are more interesting. 377 of them with reasonable levels of details and description. And definitely a good thing to keep track of as they are easily forgotten/dismissed.The Unidentified pages are somewhat interesting as they contain photos of about 50 unidentified agents, but the information about incidents and even locations is incomplete. Some are
Moozonian News
apollographql.com• Jan 16, 2026• 1 min read
Show HN: GraphOS Router, designed specifically for federated GraphQL workloadsWe just shipped response caching in GraphOS Router, designed specifically for federated GraphQL workloads.The problem we were solving: traditional HTTP caching doesn't work well with GraphQL. A single response often mixes data with different freshness requirements—long-lived product info, fast-changing inventory, user-specific context. Full-response caches force the shortest TTL across everything, killing hit rates.Our approach caches at two levels: root query fields and individual entity representations. Each entity can have its own TTL (derived from Cache-Control headers or @cacheControl directives), and entities are shared across queries and users where appropriate.A few things that might be interesting:Tag-based invalidation: Mark entities with @cacheTag, then invalidate by tag when data changes—similar to CDN surrogate keys but at the GraphQL entity level Partial cache hits: A single query might hit cache for some subgraphs and miss for others; we built a debugger in Apollo Sandbo
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arena.ibuildstuff.eu• Jan 15, 2026• 1 min read
Show HN: I built a 3D web-based multiplayer game with Claude CodeHey HN!I’ve shown this to a few people and thought folks here may be interested too.I’ve been using Claude for a while now, and wanted to see how far I could really push it without writing a single line of code.I ended up building a 3D web-based multiplayer game, inspired by FutureCop: LAPD (on the PS1, specifically the Precinct Assault multiplayer mode - https://www.youtube.com/watch?v=qDEXfN2ifXY), which Claude suggested would take 2-3 weeks to build (by hand).Fast forward ~1.5 hours of prompting and I had a fun MVP - and within ~6h I was sharing it with friends. ~12 hours of prompting later - without writing a single line of code - I’m blown away at the result.There's now multiple levels, multiple units, sounds, a leaderboard and you can use your BlueSky/GitHub username - all in 3D, all in a browser.You can try the game out here: https://arena.ibuildstuff.euThe code: https://github.com/tombuildsstuff/web-arena-gameTech Stack: Three.JS and WebSockets on the frontend and Golang on the
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aiquest.futureu.co• Jan 13, 2026• 1 min read
Show HN: Simple browser game to teach AI transformation concepts to small bizI grew up playing simple games like Pac-Man, Prince of Persia, and Doom. Those games were intuitive, hard to put down, and taught mechanics through play rather than instruction.Years later, while working on AI transformation projects for small businesses, I kept running into the same issue. AI concepts are usually explained through slides, frameworks, and jargon. Most owners disengage before understanding how these ideas apply to their business.I decided to experiment with a different approach. I built a small browser-based game that introduces basic AI transformation concepts through short levels and simple decisions.Each level maps to a real-world idea. Examples include process automation, data readiness, and incremental adoption rather than big-bang AI projects. The mechanics are intentionally simple and do not require prior AI knowledge.The game was built using Google AI Studio powered by Gemini and deployed on Google Cloud. It runs in the browser and does not require signup.As an
Moozonian News
news.ycombinator.com• Jan 6, 2026• 1 min read
Practical rules of thumb for long-run LED strip installs?I’m working on a few LED strip installs where the runs are long enough that the “usual beginner advice” (just pick a PSU and stick the strip up) stops working.Typical scenarios:24V constant-voltage strips for indirect/cove lighting, ~5–20m per runSometimes addressable strips (SPI-style) where data integrity becomes a factorIndoor installs in aluminum channels / diffusers (so heat and wiring neatness matter)I’d love to collect practical rules of thumb from people who’ve done this at scale. In particular:Power injectionWhat’s your “inject every X meters” heuristic for 12V vs 24V?Do you prefer single-end + injections, or powering both ends (and why)?Any go-to wire gauge guidance for common power levels (say 50–200W per run)?Fusing & safetyDo you fuse each injection branch? Inline blade fuses? Something else?Any wiring patterns you’ve found safer/cleaner for hidden runs?Addressable / data integrityWhen do you stop trusting a single data line and switch to differential / RS-485 style transp
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github.com• Dec 10, 2025• 1 min read
Show HN: We open-sourced our internal tool for scoring PRs with Claude AIHi HN! I'm sharing MergeMint, an open-source platform we built at TextCortex AI to automatically evaluate and score pull requests using Claude AI.The problem we had: Our engineering team lacked visibility into contribution impact, and performance reviews felt subjective. We wanted objective metrics without the overhead of manual PR reviews.How it works: When a PR merges, MergeMint analyzes the diff, linked issues, and commits using Claude AI. It classifies component/severity, calculates a score, posts feedback on the PR, and updates team leaderboards.The results after 6 months: • 3x increase in developer engagement with our internal bug bounty program • Team members actively compete on leaderboards (gamification really works!) • Performance reviews now backed by concrete contribution data • We caught and rewarded high-impact work that was flying under the radarThe scoring is fully configurable – we defined our components (auth, API, UI) with multipliers and severity levels (P0-P3) with
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bing.com• Nov 28, 2025• 1 min read
Can you have hypoglycemia without diabetes?Hypoglycemia, characterized by dangerously low blood sugar levels (below 70 mg/dL), is not exclusive to individuals with diabetes. Various factors, such as excessive alcohol consumption, certain ...