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Show HN: Don't share code. Share the prompt https://ift.tt/nizDFEB

Show HN: Don't share code. Share the prompt Hey HN, I'm Mario. I recently talked to a colleague about AI, agents and how software development will change in the future. We were wondering why we should even share code anymore when AI agents are already really good at implementing software, just through prompts. Why can't everyone get customized software with prompts? "Share the prompt, not the code." Well, I thought, great idea, let's do that. That's why I built Open Prompt Hub: https://ift.tt/pW7J3Rs . Think GitHub just for prompts. The idea is simple: Users can upload prompts that can then be used by you and your AI tools to generate a script, app, or web service (or prime their agent for a certain task): Just past it into your agent or ide and watch it build for you. If the prompt does not 100% covers your usecase, fork it, tweak it, et voila: tailor-made software ready to use! The prompts are simple markdown files with a frontematter block for meta info...
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Show HN: Satellite imagery object detection using text prompts https://ift.tt/0unXbRt

Show HN: Satellite imagery object detection using text prompts I built a browser-based tool for detecting objects in satellite imagery using vision-language models (VLMs). You draw a polygon on the map and enter a text prompt such as "swimming pools", "oil tanks", or "buses". The system scans the selected area tile-by-tile and returns detections projected back onto the map as GeoJSON. Pipeline: select area and zoom level, split the region into mercantile tiles, run each tile with the prompt through a VLM, convert predicted bounding boxes to geographic coordinates (WGS84), and render the results back on the map. It works reasonably well for distinct structures in a zero-shot setting. occluded objects are still better handled by specialized detectors like YOLO models. There is a public demo and no login required. I am mainly interested in feedback on detection quality, performance tradeoffs between VLMs and specialized detectors, and potential real-world use...
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Show HN: Time as the 4th Dimension – What if it emerges from rotational motion? https://ift.tt/tO1lzY0

Show HN: Time as the 4th Dimension – What if it emerges from rotational motion? I've been developing a framework since 2022 that proposes time is not a static geometric axis (as in Einstein's relativity) but emerges dynamically from the rotational and orbital motion of 3D space. The core idea: each dimension emerges from the previous one by arranging infinite instances perpendicularly. A static 3D space can't do this to itself — but a rotating one can. That perpetual self-perpendicularity is time. From this we can derive the Lorentz factor, E=mc², and the Schwarzschild radius, and propose a testable prediction: intrinsic rotation should contribute independently to time dilation, measurable with atomic clocks. Essay (accessible): https://ift.tt/rUTzjxv... Paper (Zenodo): https://ift.tt/wspTvQX March 9, 2026 at 11:18PM
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Show HN: The Mog Programming Language https://ift.tt/MJxFI8p

Show HN: The Mog Programming Language https://moglang.org March 9, 2026 at 11:27PM
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Show HN: Proxly – Self-hosted tunneling on your own domain in 60 second https://ift.tt/ZqFvYV7

Show HN: Proxly – Self-hosted tunneling on your own domain in 60 second Proxly is a self-hosted tunneling tool that exposes local services through subdomains on your own VPS. npm install -g @a1tem/proxly, run proxly, and the interactive wizard sets up your first tunnel. No bandwidth caps, no session limits. Built it because frp's config is painful and ngrok's free tier is too limited. Open source, MIT licensed. GitHub: https://ift.tt/gCf7ARq March 8, 2026 at 03:34PM
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Show HN: Prompt Armour – Real-time PII detection for AI chatbots, 100% local https://ift.tt/pJEeujP

Show HN: Prompt Armour – Real-time PII detection for AI chatbots, 100% local https://prompt-armour.vercel.app/ March 7, 2026 at 11:04PM
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Show HN: VaultNote – Local-first encrypted note-taking in the browser https://ift.tt/IntQJlu

Show HN: VaultNote – Local-first encrypted note-taking in the browser Hi HN, I built VaultNote, a local-first note-taking app that runs entirely in the browser. Key ideas: - 100% local-first: no backend or server - No login, accounts, or tracking - Notes stored locally in IndexedDB / LocalStorage - AES encryption with a single master password - Tree-structured notes for organizing knowledge The goal was to create a simple note app where your data never leaves your device. You can open the site, enter a master password, and start writing immediately. Since everything is stored locally, VaultNote also supports import/export so you can back up your data. Curious to hear feedback from the HN community, especially on: - the security approach (local AES encryption) - IndexedDB storage design - local-first UX tradeoffs Demo: https://ift.tt/AbGdrUL Thanks! https://ift.tt/9bSdi3N March 7, 2026 at 12:52AM
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