Show HN: A free movies and series randomiser https://bit.ly/4i1Eypi

Show HN: A free movies and series randomiser Hi HN! Over 3 years ago I developed a movies and series randomiser in Cordova web to deploy on app stores. The first versions had ads in it to monetize the development, also a "PRO" version was released for the price of 1 dollar (or something like that, the lowest price tier as far as I remember). Anyway, in recent years I've reached a point where all applications does not need to be monetized, some are just fun to develop and release for free. Show me a Movie is one of them! The current state of the app is the same as of 3 years ago. Besides getting it to work in the browser, minor bug fixes has been fixed. With that said, go ahead and try it out. It is totally free, I only track page count using GoatCounter (for the fun of it). If you want to can leave some valuable feedback and insight which either I or someone else on HN can use in future projects! Warm regards, Lukas https://bit.ly/4cmeCDu April 7, 2025 at 09:00AM

Show HN: Simple time tracking and invoicing for freelancers and small agencies https://bit.ly/4ciWU3S

Show HN: Simple time tracking and invoicing for freelancers and small agencies https://bit.ly/42AK91e April 7, 2025 at 07:34AM

Show HN: I created a ELI5 Blockchain glossary, with also a bit of interactivity https://bit.ly/3G97VZs

Show HN: I created a ELI5 Blockchain glossary, with also a bit of interactivity The reason is simply that I'm learning blockchain and i found myself searching and hardly recalling terminology. So I started building a glossary (that slowly i'm making interactive) in which the terms are explained with ELI5 analogies. AI helped me with that. Hope you find it useful. You can contribute to the data set here: https://bit.ly/4cpFdzK https://bit.ly/41Zoboy April 6, 2025 at 06:10PM

Show HN: I Built ImgFiber-Better Image Optimizer. Free No Limits https://bit.ly/44eWZ6B

Show HN: I Built ImgFiber-Better Image Optimizer. Free No Limits No file size/upload limits. Processed locally right inside your browser. No Server Uploads. NOT A FFmpeg Wrapper. It's not like any other Alternatives, Try for yourself! Are you someone who deals with lots of images and always find yourself with your storage full? or Someone Who deals with websites optimization and would love to get that fast loading speed? No matter who you are, as long as you deal with Images, Imgfiber got your back! ⬇ Reduce image file sizes by up to 95% without losing quality! Supports all major formats: JPG, PNG, JPEG, GIF, SVG, and WebP. Works entirely in your browser—no uploads, no servers, just the power of your own device! Blazing fast compression—processes images as quickly as you drag and drop. Delivers results 2x better than competitors like OptImage, CompressX, TinyPNG, and Squoosh. Totally FREE with no file size or count limits - compress as many images as you want! Social Proof? - I am gonna be honest with you! I don't have social proof! I've been too busy building cool tools like IMGFiber, Codeaway, QuickWrap entire year that i forgot they need Lovely users to have significant value to its existent. I've spent an year building great range of SaaS and had zero exposure to provide your with trusted by 40,000+ users around the world! Nah! I don't have that! that's why i am here! I would geneuinly love for you to give ImgFiber a shot! Check it out ImgFiber.com and let me know your thoughts! https://bit.ly/4coUKzZ April 6, 2025 at 07:55AM

Show HN: Owl, a Spaced Repetition App https://bit.ly/44ape6r

Show HN: Owl, a Spaced Repetition App Owl is built a spaced repetition app. We built it for ourselves mostly because we were unhappy with Anki from a UX perspective, and are now releasing it to everybody else. It is super tiny, but - we think - also pretty good. You can add your own decks manually, or generate them from a PDF (think academic papers, which is how I use that feature) or a prompt. There are no emails except study reminders (when there are cards to study). You can also use our "AI tutor" to review cards conversationally. Looking forward to your feedback! https://bit.ly/42oe1Ni April 3, 2025 at 07:20PM

Show HN: I made a conversational AI for interview prep https://bit.ly/420ZPuF

Show HN: I made a conversational AI for interview prep SpeakFast helps you prep by actually talking—not just reading tips or recording yourself. The AI interviews you, challenges you in real time, and gives coaching based on how you're doing. It can even build a custom roadmap around your weak spots. There are 200K+ real roles from top tech companies to practice with. You can also paste a job description and get a tailored mock interview instantly. It’s composable, flexible, and built to feel real https://bit.ly/41ZrU5v April 5, 2025 at 11:42PM

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual) https://bit.ly/42vkSWe

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual) Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and preprocessing for RAG or fine-tuning tasks Sample outputs and real exam-based examples are included (EJU Biology, UTokyo Math, etc.) Would love to hear any feedback or ideas for improvement. GitHub: https://bit.ly/3EhtxCm https://bit.ly/3EhtxCm April 5, 2025 at 06:22AM

Show HN: Automatic Python shebang lines for venv and conda environment finding https://bit.ly/42mt2ix

Show HN: Automatic Python shebang lines for venv and conda environment finding https://bit.ly/42iH70y April 4, 2025 at 11:51PM

Show HN: Built a visual UI editor that exports to code https://bit.ly/42lKjsg

Show HN: Built a visual UI editor that exports to code I've been specializing in UI for over a decade. Using code for UI is great but I always wished there was a more visual code to build apps and sites. So I went ahead and built it. Decided to build it with Compose Multiplatform since I work a lot with Kotlin. Currently exports to CMP as it was simpler due to the context switch. You can try it for free and export some apps https://bit.ly/3DSaOgQ April 4, 2025 at 11:04AM

Show HN: Transputer emulator in JavaScript (fast enough to be useful) https://bit.ly/42lSDIB

Show HN: Transputer emulator in JavaScript (fast enough to be useful) https://bit.ly/3RxsqBB April 4, 2025 at 04:59AM

Show HN: A new VSCode extension that shows definition functions in a stack https://bit.ly/4lgIRzY

Show HN: A new VSCode extension that shows definition functions in a stack Definition Stack is a new vscode extension I have just released. It is a reading tool for Javascript and Typescript. It is available in the extension marketplace. You just click in a function in any source code, execute a command, and a new tab opens next to the original. That tab has a "block" which contains a copy of the function you clicked in. In that code every word (symbol) that has a definition is highlighted. If you click on a higlighted word a new block opens above the original which contains the source code of the definition for that word. You can click in that block and repeat to create a stack. All function blocks are in the one tab that you can scroll through. There are other options like collapsing a block, deleting it, etc. It is easy to open a block, look at it, and delete it taking you back to the block below. Then clicking in the lower block with another word opens yet another block above. Continuining this process lets you walk the "tree" of references and definitions. This lets you see all the code executed when the original function runs. This is similar to stepping through code with a debugger. The function code is isolated in each block with the name of the original source code file and the lines are numbered the same. But when using the stack you can ignore what file each one came from. This gives a fresh way to look at what all the functions do without the cognitive load of remembering what file the functions are in. AFAIK, this concept is original. Correct me if I'm wrong. My idea came from an IDE for Java from IBM many years ago. In that system there were no source files at all. Each function came from from a database. That IDE was a failure :-) I think my version of that concept will do better because it doesn't replace source files, it just adds a tool for working with source files. The stack is created instantly and is just meant to be used occasionally when it makes sense. It is sort of a Go To Definition on steroids. Please give me feedback. Since it is brand new I want to fix anything wrong including user experience problems. Enjoy ... https://bit.ly/41VK8Vx April 3, 2025 at 11:59PM

Show HN: FlashTokenizer – 10x faster C++ tokenizer for Python https://bit.ly/3Rvb2NM

Show HN: FlashTokenizer – 10x faster C++ tokenizer for Python I built a tokenizer in C++ with a Python binding that outperforms HuggingFace tokenizers by 10x on large inputs. It's optimized for minimal memory usage and latency. Benchmarks and comparison included in README. Would love feedback or contributions! https://bit.ly/4cehmCW April 3, 2025 at 07:46AM

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual) https://bit.ly/42dslrT

Show HN: OCR pipeline for ML training (tables, diagrams, math, multilingual) Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and preprocessing for RAG or fine-tuning tasks Sample outputs and real exam-based examples are included (EJU Biology, UTokyo Math, etc.) Would love to hear any feedback or ideas for improvement. GitHub: https://bit.ly/3EhtxCm https://bit.ly/3EhtxCm April 3, 2025 at 06:48AM

Show HN: PythonECG – A minimal real-time ECG visualization tool https://bit.ly/3XITqld

Show HN: PythonECG – A minimal real-time ECG visualization tool I built a lightweight Python application that visualizes audio input as an ECG-like display. It's a simplified, open-source tool designed for educational purposes, signal visualization experiments, and prototyping. No commercial restrictions, just a clean interface with a single button to start/stop tracing. Built with PyAudio, Matplotlib, and Tkinter. Looking for feedback and contributions! https://bit.ly/4lefiz5 April 3, 2025 at 12:23AM

Show HN: OC Maker https://bit.ly/42fF1OK

Show HN: OC Maker I just made the cutest AI-powered OC maker! Feel free to design your original characters and use them in your storytelling or animation! https://bit.ly/3FPlLQC April 3, 2025 at 12:28AM

Show HN: I vibecoded a 35k LoC recipe app https://bit.ly/4hUdBnp

Show HN: I vibecoded a 35k LoC recipe app Over the last 2-3 weeks, I vibecoded the recipe app that I always wished existed - recipeninja.ai . It now includes a fully interactive voice assistant so you don't need to get your dirty hands over your new iPad when you're cooking. Background: I’m a startup founder turned investor. I taught myself (bad) PHP in 2000, and picked up Ruby on Rails in 2011. I’d guess 2015 was the last time I wrote a line of Ruby professionally. Last month, I decided to use Windsurf to build a Rails 8 API backend and React front-end app, using OpenAI's realtime API for voice-to-voice responses. Over the last few days, I also used Claude Code and Gemini 2.5 Pro for some of the trickier features. 35,000 LoC later, this is what I built! The site uses function-calling to navigate the site in realtime as you chat with the voice assistant, which I think is pretty neat. For the long version, see https://bit.ly/4leIllV... I'd love any feedback you have! Demo video of the voice assistant: https://www.youtube.com/watch?v=kRhVc9D5kcg Generate and edit new recipes: https://www.youtube.com/watch?v=VwwZF6dHcHg https://bit.ly/4iZsHJW April 2, 2025 at 02:57AM

Show HN: Fuck Lightroom and Fuck Adobe: How Adobe Is Systematically Predatory https://bit.ly/4hUb5gX

Show HN: Fuck Lightroom and Fuck Adobe: How Adobe Is Systematically Predatory https://bit.ly/4hZ4Fxd April 2, 2025 at 02:19AM

Show HN: Oxy – build SQL bots and automations easily https://bit.ly/42dBKzu

Show HN: Oxy – build SQL bots and automations easily Hey folks! We just launched a yaml-based open source framework for building SQL bots and automations called Oxy. You can build an answer engine for your team, automate report generation or deep dive analysis, etc. In short, we wanted to make it easier for analysts to build with LLMs. Would love to hear your thoughts! https://bit.ly/42mfS5k April 1, 2025 at 11:09PM

Show HN: Duolingo-style exercises but with real-world content like the news https://bit.ly/3RtrRZz

Show HN: Duolingo-style exercises but with real-world content like the news I've been working on a little side project that combines Duolingo-like listening comprehension exercises with real content . Every video is transcribed to get much better transcripts than the closed captions. I filter on high quality transcripts, and afterwards a LLM selects only plausible segments for the exercises. This seems to work well for quality control and seems to be reliable enough for these short exercises. Would love your thoughts! https://bit.ly/43AkBCv April 1, 2025 at 06:46AM

Show HN: CVE-Bench, the first LLM benchmark using real-world web vulnerabilities https://bit.ly/3FNjKo1

Show HN: CVE-Bench, the first LLM benchmark using real-world web vulnerabilities AI agents now have impressive reasoning capabilities. This raises an important question: how dangerous are these AI agents at identifying & exploiting web vulnerabilities? We created CVE-bench to find out (I'm one contributor of 16). To our knowledge CVE-bench is the first benchmark using real-world web vulnerabilities to evaluate AI agents' cyberattack capabilities. We included 40 CVEs from NIST's database, focusing on critical-severity vulnerability (CVSS > 9.0). To properly evaluate agents’ attacks, we built isolated environments with containerization and identified 8 common attack vectors. Each vulnerability took 5-24 person-hours to properly set up and validate. Our results show that current AI agents successfully exploited up to 13% of vulnerabilities without knowledge about the vulnerability (0-day). If given a brief description of the vulnerability (1-day), they can exploit up to 25%. Agents are all using GPT-4o without specialized training. The growing risk of AI misuse highlights the need for careful red-teaming. We hope CVE-bench can serve as a valuable tool for the community to assess the risks of emerging AI systems. Paper: https://bit.ly/4jg8hMo Code: https://bit.ly/4jcUshJ Medium: https://bit.ly/3FJW44a... Substack: https://bit.ly/4cfZVlt... https://bit.ly/4jcUshJ March 31, 2025 at 10:56PM