Show HN: Good old emails and LLMs for automating job tracking https://ift.tt/VFAwdQ6

Show HN: Good old emails and LLMs for automating job tracking So I spent the last few days building Jobstack. The logic is quite simple. You apply to jobs and you get emails, you trade emails back and forth from interviews, questions and others until the role is either accepted or you are rejected. Also easy to apply to hundreds of roles and not being to know where you stand easily. With Josbtack, you sign up, get a unique email and forward emails to the url. And it uses LLMs to extract company details , tries to find information online about them and presents that to you. Every email you forward becomes part of your timeline with the company. It also tracks rejection, offers from the emails too and gives you a nice stats dashboard amongst others. Using Gemini 2.5 pro right now. No data stored not in any way. After extraction, it’s discarded. Even “AI chats with the company” aren’t stored https://jobstack.me June 22, 2025 at 03:07AM

Show HN: Should I Pay Off Loan https://ift.tt/RMc2nQW

Show HN: Should I Pay Off Loan https://ift.tt/ARfy2Y0 June 22, 2025 at 01:29AM

Show HN: To-Userscript: Chrome Extension to Userscript Converter https://ift.tt/hCljEvr

Show HN: To-Userscript: Chrome Extension to Userscript Converter https://ift.tt/UYLctSu June 22, 2025 at 12:55AM

Show HN: Swift UI app for extracting beer information by just taking photos https://ift.tt/DGd4kIi

Show HN: Swift UI app for extracting beer information by just taking photos I would like to share Swift UI app for extracting beer information by just taking photos. It is based on Gemini API and you can easily use this as reference to create an AI supported iOS app. https://ift.tt/DyUoptd June 21, 2025 at 03:49PM

Show HN: Inspect and extract files from MSI installers directly in your browser https://ift.tt/1iSDgzC

Show HN: Inspect and extract files from MSI installers directly in your browser Hey everyone! I'm excited to share a small web app I built that allows you to view and extract the contents of Windows MSI installers directly in your browser. It's essentially a web-based "lessmsi" powered by Pyodide. You can try it out at: https://ift.tt/sLlO2B7 My motivation for building this was from part of my day job -- I often get Windows MSI installers and need to extract files while preserving the relative directory structure and filenames, as they would appear after a full installation. The existing tools I found were good but limited in which platforms they support: lessmsi works great on Windows, while msitools works for Linux/macOS. Neither is a truly cross-platform solution that works on any major OS. So we developed pymsi (a pure Python library, available on GitHub at https://ift.tt/wnyldU4 ) to handle reading and extracting MSI files from Python. Then I realized that since pymsi has no native dependencies, it could potentially run in a web browser using Pyodide. After a bit of "vibe coding" and fixing some "hallucinated" functions/classes that don't exist in pymsi, the result was this client-side web app. If you need an MSI file to experiment with, older versions of PowerToys included the installer in .msi form, such as this one: https://ift.tt/K3r4EVT.... Note that the underlying pymsi library hasn't been extensively tested against a bunch of MSI installers yet, so there might still be lingering bugs. If you come across any issues, please don't hesitate to report them in on the GitHub repository ( https://ift.tt/kb9fpSP ). I'd love to hear your feedback and answer any questions! https://ift.tt/sLlO2B7 June 21, 2025 at 01:34AM

Show HN: Vpuna AI Search – A semantic search platform https://ift.tt/L2AGRF3

Show HN: Vpuna AI Search – A semantic search platform Dear HN Community, I am a long time fan and first-time contributor. I just launched a developer focused semantic search platform and wanted to share it with the community. The idea is simple: upload structured or unstructured documents, select the fields you want to index and tag as metadata, and instantly get a clean search API you can use in your own app. Here is what it currently supports: - Manage your own tenants and projects - Upload .json and .txt files (support for .pdf, .docx, .xlsx, .yml, etc. coming soon) - Expose 3 APIs: search, upload document (embeddings), and delete document - Manage your own API keys - Uses CPU based sentence-transformers/all-MiniLM-L6-v2 for embeddings ( support for other local and online models are coming soon) LLM summarization and Model Context Protocol (MCP) support are on the roadmap Why I built it: In my consulting work, I kept seeing client wanting to move beyond basic keyword search and integrate semantic search with optional summarization. Most existing tools are either too expensive, too restrictive, or require custom layers (like custom Python servers for pre processing queries and embeddings). I wanted something API first, developer friendly, and easy to self host or use out of the box. This is the first release, and I would love your feedback. Would you use this? What is missing for your use case? Here is the README with all the links https://ift.tt/7zgRGOK Thank you for your time. https://ift.tt/QfRrd7w June 20, 2025 at 11:24PM

Show HN: Embed reactive (live) SQL into HTML https://ift.tt/VKfo1WY

Show HN: Embed reactive (live) SQL into HTML PageQL is a full stack reactive web framework that shows any changes in the database to the frontend automatically. To demonstrate how powerful it is, I created a TODOMVC app implementation in about 100 lines of code in it. It's reactive, multi-user, and updates live for everyone connected, which is currently only possible with Supabase or GraphQL, or a lot of custom logic to handle database changes by other users in other web frameworks. https://ift.tt/vTufew6 June 20, 2025 at 01:09AM