Show HN: I automated code security to help vibe coders from getting busted https://ift.tt/LJ7CrSB

Show HN: I automated code security to help vibe coders from getting busted Hi HN! I’m the developer of Elara, a tool that automatically scans your code for security issues like misconfigurations, secrets, and risky packages, so you can focus on building without stressing about all this stuff. It’s designed to be simple and fast. I see so many people launching products online without even knowing what security risks they might have. If you’re a developer or into tech, you know how hard it is to keep systems safe. Yet shockingly it feels like nobody really cares. I want to help folks catch these issues early, before they get burned. Elara runs multiple security scanners simultaneously, aggregates the results into a single interface, and gives you an actionable to-do list to fix the problems. It’s super simple to try, just log in with GitHub and see for yourself. Would really appreciate your feedback! https://ift.tt/dSAr5yY July 12, 2025 at 09:50PM

Show HN: VibeKin – Gated Discord Tribes via Personality Matching https://ift.tt/Zg9T206

Show HN: VibeKin – Gated Discord Tribes via Personality Matching I built an app that matches users to exclusive Discord communities based on a 25-question personality quiz. Inspired by HEXACO but with a novel fuzzy-clustering twist, it creates a "harmony genome" to gate access, ensuring tight-knit tribes (e.g., wellness or creative niches). Think Reddit but curated via psych. Launched to test the idea—feedback on algo, niches, or scaling? https://tgc.fly.dev July 12, 2025 at 07:32AM

Show HN: Transition – AI Triathlon Coach https://ift.tt/h1Rc0ng

Show HN: Transition – AI Triathlon Coach Hey HN, I’m Alex, a triathlete, dad, and software engineer. I’ve been building Transition — an app for triathletes that creates adaptive training plans based on your goals, schedule, and workout data (Garmin, Strava, etc). Most plans are static, which never really worked for me as a parent and someone with an unpredictable schedule. Transition adjusts every week using your actual workouts and progress, so the plan changes when you miss a session, set a new PR, or need to shift your priorities. I built this because nothing else was flexible enough for my life, and I’m curious if others have the same problem. It’s in beta and free to try. I’d love feedback from the HN crowd — especially around the training logic, onboarding, or any ways to make it more useful for real athletes. Website: https://ift.tt/Rdqzj02 https://ift.tt/Rdqzj02 July 12, 2025 at 08:09AM

Show HN: RULER – Easily apply RL to any agent https://ift.tt/Ch0iNza

Show HN: RULER – Easily apply RL to any agent Hey HN, Kyle here, one of the co-founders of OpenPipe. Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement. One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate. RULER is a drop-in reward function that works across different tasks without any of that complexity. It works by showing N trajectories to an LLM judge and asking it to rank them relative to each other. This sidesteps the calibration issues that plague most LLM-as-judge approaches. Combined with GRPO (which only cares about relative scores within groups), it just works (surprisingly well!). We have a full writeup on the blog, including results on 4 production tasks. On all 4 tasks, small Qwen 2.5 models trained with RULER+GRPO beat the best prompted frontier model, despite being significantly smaller and cheaper to run. Surprisingly, they even beat models trained with hand-crafted reward functions on 3/4 tasks! https://ift.tt/h2KpZOG Repo: https://ift.tt/zP3sB8K https://ift.tt/h2KpZOG July 11, 2025 at 11:17PM

Show HN: An Improvisational Web Server https://ift.tt/9qCtlSj

Show HN: An Improvisational Web Server With Gemini Flash so fast, I wondered what it would be like for an LLM to generate web pages and images on-demand as the URLs are requested. It's been a couple of weeks now since release and there are a ton of cool examples people have created at https://ginprov.com/ . I have about half of my Gemini credits left (it's not too costly) but if it runs out, it's very easy to self-host with your own Gemini key. Some examples: https://ift.tt/rnwKi4P https://ift.tt/PbGxkpl https://ift.tt/nmd8DqO https://ift.tt/qwlW8mF https://ift.tt/vBjtFSW July 11, 2025 at 10:22PM

Show HN: Open source alternative to Perplexity Comet https://ift.tt/qxizDLf

Show HN: Open source alternative to Perplexity Comet Hey HN, we're a YC startup building an open-source, privacy-first alternative to Perplexity Comet. No invite system unlike bunch of others – you can download it today from our website or GitHub: https://ift.tt/GvjWCtk --- Why bother building an alternative? We believe browsers will become the new operating systems, where we offload much bunch of our work to AI agents. But these agents will have access to all your sensitive data – emails, docs, on top of your browser history. Open-source, privacy-first alternatives need to exist. We're not a search or ad company, so no weird incentives. Your data stays on your machine. You can use local LLMs with Ollama . We also support BYOK (bring your own keys), so no $200/month plans. Another big difference vs Perplexity Comet: our agent runs locally in your browser (not on their server). You can actually watch it click around and do stuff, which is pretty cool! Short demo here: https://bit.ly/browserOS-demo --- How we built? We patch Chromium's C++ source code with our changes, so we have the same security as Google Chrome. We also have an auto-updater for security patches and regular updates. Working with Chromium's 15M lines of C++ has been another fun adventure that I'm writing a blog post on. Cursor/VSCode breaks at this scale, so we're back to using grep to find stuff and make changes. Claude code works surprisingly well too. Building the binary takes ~3 hours on our M4 Max MacBook. --- Next? We're just 2 people with a lot of work ahead (Firefox started with 3 hackers, history rhymes!). But we strongly believe that a privacy-first browser with local LLM support is more important than ever – since agents will have access to so much sensitive data. Looking forward to any and all comments! https://ift.tt/X6K5JaF July 10, 2025 at 11:03PM

Show HN: Activiews – A privacy-first fitness alternative for Apple users https://ift.tt/egchlnP

Show HN: Activiews – A privacy-first fitness alternative for Apple users Hi HN, I built Activiews as a fitness alternative for Apple users who want a simpler, more private, and more visual way to view their workouts, with a heavy focus on maps. The app reads from Apple Health and Watch data without requiring an account or sending anything to the cloud. I built it because I wanted a fitness app that: - Has no social network features - Does not store my data on their servers - Doesn't require an account or login - Stays lightweight and free of bloat - Is simple to use, with a focus on customizable workout visuals Core features: - Customizable workout maps and shareable cards - Flyover route animations - Calendar heatmap showing activity over time - Offline-first, data stays on device, no login/account needed - Dark/light themes, map styles, unit system, and accent color customizations - Reads data directly from Apple Watch - Localized in 13 languages - €0.99/month or €24.99 lifetime It’s built in Swift & SwiftUI using native APIs and focused on performance and privacy. I’d love your feedback, ideas, and comments. App Store: https://ift.tt/t1dO8RN Website: https://activiews.xyz Thanks! http://activiews.xyz/ July 11, 2025 at 12:28AM