Ocal – AI Calendar That Schedules Assignments for You
We built Ocal, an AI-powered calendar that automatically schedules assignments as soon as they’re assigned. We realized that most students don’t struggle with time management because they’re lazy—they struggle because time planning itself is an overhead. The mental effort of estimating task durations, figuring out when to work, and actually doing the work is non-trivial. So we decided to eliminate that friction. How It Works: 1 LMS Integration (Canvas for now) – Ocal scans your assignments, extracts deadlines, and understands task complexity. 2 AI-Scheduled Work Blocks – Based on your habits…
In plain words
Ocal is an AI-powered calendar that automatically schedules student assignments by integrating with learning management systems like Canvas. It extracts assignment deadlines and complexity, then creates work blocks tailored to each student's habits, scheduling tasks well ahead of due dates to prevent cramming. The tool makes weekly adjustments to optimize workflow. Designed for students, Ocal aims to reduce the mental overhead of time planning itself rather than relying on discipline alone.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We built Ocal, an AI-powered calendar that automatically schedules assignments as soon as they’re assigned. We realized that most students don’t struggle with time management because they’re lazy—they struggle because time planning itself is an overhead. The mental effort of estimating task durations, figuring out when to work, and actually doing the work is non-trivial. So we decided to eliminate that friction. How It Works: 1 LMS Integration (Canvas for now) – Ocal scans your assignments, extracts deadlines, and understands task complexity. 2 AI-Scheduled Work Blocks – Based on your habits (night owl vs. early bird), Ocal schedules the work comfortably ahead of deadlines—no more cramming. 3 Subtle Weekly Adjustments – Each week, Ocal subtly tweaks your schedule, nudging you toward your ideal workflow without a disruptive overhaul. 4 Social Scheduling (Coming Soon) – Friend people, see when they’re free/busy (privacy-first), and let AI find optimal times for study groups, workouts, or board game nights. Why This Matters: Most productivity tools still rely on manual scheduling—we don’t. Ocal makes time blocking effortless, helping students get work done early and reclaim time. No decision fatigue. No planning paralysis. Just execution. What’s Next? We’ve been building for a week. Ocal is not fully built for institutions yet, but it’s developed enough for people to start testing. If you’re a student or productivity geek, we’d love for you to poke around and tell us what works, what sucks, and what features you'd love to see. Check it out & let us know what you think!
Does the same job
all alternatives →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, February 2025
the whole month →
Screen Studio 3.0▲1,833Beautiful screen recordings with instant shareable links
Growth · 2025 · screen.studio
- IG
I was at FB/Meta from late 2013 to early 2023, mostly working in the compiler/runtime spaces. I got hit in the spring 2023 layoff wave. I immediately started making games in my newfound free time (a lifelong interest, and I even worked in AA(A?) back ca. ~2000), and in October 2023 I stumbled upon the idea of a roguelike pachinko/plinko game inspired by Luck Be A Landlord. Things snowballed quickly, I started talking to publishers, then worked like crazy through all of 2024, almost the hardest I've ever worked in my career, and launched the game in December 2024. It's sold…
Work · 2025


- IB
i wanted to change the habit of reaching for my phone in the morning and doomscrolling away an hour so i built an app to help me. now i have to literally touch grass before accessing my most distracting apps the app is built in swiftui, uses the screen time apis provided by apple and google vision to recognise grass or not i'd love to get your thoughts on the concept.
Life & fun · 2025 · touchgrass.now