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Отслеживается продуктов: 31
TV Explorer. Adding advanced UI to free online TV
Show HN: TV Explorer. Adding advanced UI to free online TV
Geomatic
All commands have the format `output = \func inputs` or just `\function inputs`. Points and scalars are built on the fly. Eg `\line a b` to an empty canvas creates points `a` and `b`, and joins them with a line. One can use broadcasting semantics similar to NumPy and PyTorch in a visual setting (imagine creating a list of circles where one dim corresponds to radius and another to the center). One can also use backpropagation, run gradient descent or visualize vector fields. Almost everything is reactive so changing a variable updates all of the downstream geometry. It also allows anyone to write and load their own visualization, which can be broadcasted and differentiated through.
Vibe-coded Steam, but in the browser
Hi HN! Lifelong avid gamer here, hugely passionate about WASM and WebGPU. I firmly believe that these technologies will enable console and PC quality titles to be accessible through a browser, and with this, we'll need a new discoverability layer. Looking online, platforms like CrazyGames and Poki cater to a casual/hypercasual demographic, and I couldn't find anything out there that was for me, a core gamer that typically uses Steam and consoles. So I vibe coded my own! It features WASM ports of classic games, as well as some indie Unity titles. The goal is to host mainly WebGPU titles moving forward, and to serve as a way for smaller developers to get discovered outside of crowded channels like Steam. Here's a few features from the platform I wanted to highlight: • Controller support • A console-like UI/UX • Community forums (much work to do here) • Basic achievements • Store pages, modeled after Steam • Social features • Asset chunking to enable faster load times I'd love to get feedback on the portal, to make it even better. Thanks!
Let agents run any analysis with Mixpanel data, no UI required
Show HN: Let agents run any analysis with Mixpanel data, no UI required
We missed Winamp, so we built an audio player for macOS
Show HN: We missed Winamp, so we built an audio player for macOS
A Dark Cave
Almost a year ago I started building A Dark Cave, a dark text-based browser game. The game intentionally avoids visuals and embraces minimalism. I use only text, symbols, and sounds to create atmosphere and spark the player's imagination. From time to time, I think about adding graphics to my game, since it is one of the most common requests I get from players. I even made a post about what I call the AI Slop Temptation: https://www.reddit.com/r/incremental_games/comments/1tcs8ou/... From the comments, it seems that players prefer no graphics at all over AI-generated graphics, at least when they can recognize them as AI-generated. In my opinion, the growing abundance of easily available polished graphics means games will soon need main differentiators beyond visuals alone. Maybe it will be storytelling, atmosphere, creating emotions, personalization, nostalgia, or the ability to leave space for the player's imagination. When it becomes easy for every game to look good, what will be the things that actually make games great? What do you think? Also, I am grateful for any feedback about my game!
I made a screen recording app to make demos like an Apple commercial
Hey HN! I made ShotGlass, a Mac app for screenshots, screen recordings, and cinematic demos. I was tired of jumping between four apps to make one product demo. Screenshots, recordings, annotations, and After Effects for anything cinematic. I also saw the MacBook Neo commercials (recording playing on a 3D MacBook in a scene) and wondered why no screen recorder just did that. So ShotGlass does all of it: multi-window capture, annotations, zooms, transitions, and dropping a recording onto a 3D MacBook with a simulated lens. It's free to try, a one time purchase and everything stays local. I tried to make it simple to use and, for fun, themed like a glass of whisky. I'm updating it quite a lot, so I'd love your feedback.
Personal Trainer
Hi HN, I'm an indie dev who built this to settle a long-running argument with my teenage son about who lifts more at the gym. I wanted a workout tracker to kept our data side-by-side on a leaderboard, and let us swap training plans without texting screenshots back and forth. Nothing I tried did all three without a subscription wall, so I wrote my own. Most of the app is free, it covers the full workout experience and progress tracking with 80+ exercises. The one-time purchase unlocks multiple plans, custom movements, and the social/sharing features, mainly to pay for the infra. The mobile app is React Native via Expo with Expo Router, NativeWind for styling, Zustand for state (every store is user-scoped via an AsyncStorage key prefix so account switches do a clean rehydrate, good way to have several using using the same app), Reanimated for animations, and react-i18next across six locales. The core workout loop is fully offline, and a Firebase layer sits on top for optional cross-device sync and the social features. Backend is a small workspace of Firebase Cloud Functions v2 that handle cross-user fan-out (friend requests, shared plans, shared movements) with rate limiting and anti-spam in Firestore triggers. Published a few weeks ago, I can proudly but surprisingly see the daily usage increasing. This is my first mobile app since a while (was doing some 10+y ago), keen for any feedback since it gave me the excitement of building some more. Android only for now, iOS to be published soon.
An index of indie web/blog indexes
I saw a comment here about how there are so many indexes of indie sites, blogs, etc but there wasn't an index of all the indexes. So I built it. It doesn't require a log in, just go browse! I've curated about 30 or so, but there is a submission form if there are ones I am missing. Also happy to take UI improvements because I am not great in that area!
Mochi.js: bun-native high-fidelity browser automation library
Hi HN, I’m sharing mochi.js (https://github.com/0xchasercat/mochi), a Bun-native, raw-CDP browser automation framework. It's designed to make programmatic browser use more effective by focusing on consistency and measured parity with regular traffic, purely from the JS layer, against stock Chromium. The most common forms of browser automation focus heavily on client-side line by line probes, which are mostly cosmetic. This makes people feel better but it doesn't have much relevance to actual WAF or anti-automation defences. Mochi.js focuses on what actually matters, allowing you to get past captchas, WAF's and most defence mechanisms. In fact, in some cases it actually outperforms chromium forks simply by virtue of not having to lie. The foundation is built on a probe manifest based on analyzing several WAF's and trying to cover most of the ground that matters, and from there building upwards while ensuring every decision is backed by data. Solves turnstile/interstitial automatically, single digit fpjs suspect score, very good client-side results, though browserscan and a few others are known limitations that are fundamentally conflicting with what WAF's probe for. I'll be here if anyone wants to discuss the details, check out the docs and github. It's completely free and open source, MIT, strictly no relationship to any proprietary products whatsoever. No affiliation to patched chromium forks, or SaaS. But I also want to talk about why I built this, because the current paradigm of "bot detection" is fundamentally broken. Traditionally they would probably try to label my repository a malicious tool, or at best, a grey hat one. Let's take Turnstile for example, If you attach a debugger to see what data they are extracting from your hardware, their script intentionally self-destructs. When they try to extract your data—acting as a guest on your silicon, using your electricity, without asking, the industry calls it "Security." But if you write a script to control exactly what data your own hardware emits, refusing to provide the data they have no right to ask for, you are suddenly labeled a "Malicious Actor" engaged in "Bot Evasion." I find it absurd we let ourselves put up with this, and the stance of the bot-evasion community only makes them feel more able to take a higher moral ground. I have built a library that respects my hardware's reality. If that breaks your security model, that's because your security model relies on trespassing and secrecy. I stopped apologizing. Who's next? Mochi is the exact opposite of WAF opacity. It is a glass box. It is MIT-licensed. The entire DAG, fingerprint manifest schema, harvesting process, is documented. We even commit our live benchmarks to the public record (mochi on a Linux datacenter IP scored a suspect_score: 8 and bot: not_detected against FingerprintJS Pro v4). We don't even lie unnecessarily. We default to host-OS matching. If you run mochi on a Linux server, it uses privacy-sensible fingerprints for Linux, not Windows, because Linux is a real-user signal. It proves that WAFs aren't actually blocking what most people think they are, which begs the question of what they are really doing in that obfuscated payload. The legitimacy argument is exactly how they captured the narrative. And nobody challenged it because the people on the other side were too busy acting like they were doing something wrong. Is this a conspiracy theory? For sure, but only because they allow it to be. Try make a conspiracy theory about the sticky riceball.
Explore color palettes inspired by 3000 master painter artworks
I built PaletteInspiration.com, a browsable archive of color palettes pulled from artworks by 3,000+ master painters (Monet, Vermeer, Raphael, Van Gogh). Why I built it: every color palette generator I tried converged on the same five muted pastels. Painters spent centuries figuring out color and we mostly ignore that body of work when picking colors for digital design. Please share your feedback on the Color Harmony Explorer - drag the wheel to any color and it shows which hues master painters historically paired with it (not only standard complementary, analogous, triadic, etc.) It is solely based on co-occurrence across thousands of real paintings. Not algorithmic color theory rules - actual empirical pairings. No signup, no paywall, no email capture. Just curious what people think.
Mljar Studio
Hi HN, I’ve been working on mljar-supervised (open-source AutoML for tabular data) for a few years. Recently I built a desktop app around it called MLJAR Studio. The idea is simple: you talk to your data in natural language, the AI generates Python code, executes it locally, and the whole conversation becomes a reproducible notebook (*.ipynb file). So instead of just chatting with data, you end up with something you can inspect, modify, and rerun. What MLJAR Studio does: - Sets up a local Python environment automatically, runs on Mac, Windows, and Linux - Installs missing packages during the conversation - Built-in AutoML for tabular data (classification, regression, multiclass) - Works with standard Python libraries (pandas, matplotlib, etc.) - Works with any data file: CSV, Excel, Stata, Parquet ... - Connects to PostgreSQL, MySQL, SQL Server, Snowflake, Databricks, and Supabase. For AI: use Ollama locally (zero data egress), bring your own OpenAI key, or use MLJAR AI add-on. I built this because I wanted something between Jupyter Notebook (flexible but manual) and AI tools that generate code but don’t preserve the workflow. Most tools I tried either hide too much or don’t give reproducible results and are cloud based Demos: - 60-second demo: https://youtu.be/BjxpZYRiY4c - Full 3-minute analysis: https://youtu.be/1DHMMxaNJxI Pricing is $199 one-time, with a 7-day trial. Curious if this is useful for others doing real data work, or if I’m solving my own problem here. Happy to answer questions.