WeldStack
Welding compliance software: WPS, WPQR and welder certs
What it does
WeldStack keeps welding documentation audit-ready: welding procedure specifications (WPS) to ISO 15609-1, procedure qualification records (WPQR), welder certificates with expiry alerts, equipment and inspections. An AI scanner reads certificates and material datasheets, so nobody retypes them. PDF export in English, Polish and German. Android app for offline inspections with voice input. Built for ISO 3834 / EN 1090 shops that still run on spreadsheets and paper binders.
Track welder qualifications to EN ISO 9606, manage WPS and WPQR documents, and keep your welding records audit-ready. Built by a working welding engineer.
WeldStack keeps welder qualifications, WPS/WPQR documentation, equipment and inspections audit-ready — in one system built by a working welding engineer. Scan welding certificates and extract data automatically with Google Gemini AI. Smart field recognition, ISO validation, and auto-fill forms — saving hours of manual data entry. Complete welder database with qualification history, employment statuses, and automatic change tracking. Certificate tracking according to EN ISO 9606 standards. Notifications for expiring qualifications. Generation and management of technological documentation. Heat input and preheating temperature calculators. Built-in CAD tool for drawing weld joint…from weldstack.io
Does the same job
all alternatives →
WorkProceduresApr 2026 · workprocedures.com · ▲1AI SOP generator - audit-ready procedures in 2 minutes
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com