Profound Academy is an AI-native platform for hands-on computer-science course creation, teaching, and assessment, launched Sept 3 2026 on Show HN, that turns a course idea, syllabus, or learning objectives into editable modules, lessons, learning paths, coding labs (starter code + public tests + hidden tests + custom checkers), SQL exercises, multiple-choice and checkbox questions, written exercises, projects, quizzes, exams, AI graders, rubrics, partial scoring, and translations. The AI Course Builder edits everything in chat, the AI Assistant helps students find mistakes faster and guides them without revealing solutions, the AI Checker auto-grades proofs and long-form answers, and a live-coding IDE lets teachers watch students type, debug, and submit work in real time. Profound hosts 100-300 hands-on exercises per course (5-10x a typical university), surfaces similarity and work-history signals for academic integrity review (instructor makes the final call), and runs cheating detection against both peer collusion and AI tools like ChatGPT. Pro is $20/month with 20 AI credits and unlimited host-courses-and-students; new accounts receive credits to try the builder; the platform already supports 10,000+ learners and 100+ teachers and is positioned for instructors, bootcamps, schools, and universities.
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FileForge Finder is an AI-powered local file search utility that optimizes search results for developer workflows. It uses natural language processing to understand query intent and prioritize relevant files, code snippets, and documentation. The tool integrates with popular IDEs and terminals to provide instant, context-aware file retrieval, reducing time spent navigating complex project structures. It supports multiple file formats and offers advanced filtering by content type, modification date, and relevance.
From the blog
Ahmad Al-Dahle, the former Meta AI lead now CTO of Airbnb, shares how the company turned 60% of its code over to AI and shipped 80% more features. The real story is how Airbnb collapsed handoffs, built a queryable context graph, and restructured teams around outcomes.
In partnership with UPDF, I tested an AI PDF reader on a research paper and NVIDIA's annual report, focusing on summaries, questions, and checking cited source pages.
Engram shows why the next AI advantage may come from memory, routing, and runtime design rather than bigger models alone…
