Libraryly
AI-Powered Library Management for Study Halls
What it does
The most trusted library management software in India for study halls & reading rooms. Visual seat mapping, anti-proxy QR attendance, auto WhatsApp fee reminders with UPI, shift management & Prince AI assistant. 30-day Free Trial with unlimited seats. Libraryly replaces registers & Excel for study halls. Visual seat mapping, anti-proxy QR attendance, WhatsApp billing with UPI QR, AI study tutor, student app. Free 30-day trial. India's #1 library SaaS.
The most trusted library management software in India for study halls & reading rooms. Visual seat mapping, anti-proxy QR attendance, auto WhatsApp fee reminders with UPI, shift management & Prince AI assistant. 30-day Free Trial with unlimited seats.
Smart seat layouts, QR attendance, automatic WhatsApp fee reminders, and complete expense tracking built specifically for modern reading rooms. Run daily operations from your laptop, manage on the go with the Android/iOS Owner App, and offer students a dedicated portal with live seat maps and AI study tools. Give students a modern mobile portal with digital ID cards, real-time desk availability, daily GK/job alerts, mock quizzes, and 24/7 AI academic assistance. Purpose-built tools designed to eliminate manual registers, prevent revenue leakage, and delight students. Design your physical floor plan, AC cabins, and desks. Track live occupancy across morning, evening, and 24-hour shifts with…from libraryly.in
Does the same job
all alternatives →
- Shanvidhi Study Library SaaSAug 2026 · accounts.shanvidhi.tech · ▲1
The smartest system for Study library and reading rooms.
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 · 16d 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 · 26d 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 · 16d ago · simedw.com