Student Intelligence Platform
Skip all the typing and brainstorming. Just teach.
What it does
Most AI tools give teachers another chatbot. SIP gives them an AI teammate. From lesson plans and assessments to student insights and school workflows, everything works in one intelligent workspace. Less admin. Less burnout. More teaching. Built for schools that want to work smarter, not harder. Which side are you on ?
Does the same job
all alternatives →
- IMI'm a teacher and built an AI presentation tool2025 · ▲260
Hi, I'm a high school teacher from Australia and I've built what I'd like to think is a pretty nifty ChatGPT powered presentation tool for teachers. I'd love it if you could have a look at it and give me some of your feedback. I don't think there's much overlap with the HN crowd and school teachers, but I've been coming here for many years and thought I'd post here and see what you all think. Check it out if you have a minute and I'd be super happy to hear your feedback too. https://www.slidehero.ai/ You can jump in and have a play with the tool all you like ;) Cheers, Eli
- EAEdu AI, a company grown from my research (AI and pedagogy)2024 · ▲28
Hi guys, I am a researcher and entrepreneur from London. Innovation has been slow here, I regularly browse and read ycom news and thought I'd share my UK ed-tech startup that's sprung out of my AI-driven pedagogy research project here at Goldsmiths, UoL. Not sure what it's like over in the states or other countries, but we see here lots of educators using ChatGPT for creating assignments and marking; while simultaneously complaining about students using ChatGPT to write their work. It's really bad at the university level here at the moment, feels like we have a loop of ChatGPT producing…
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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com