HandsOnTop
Quality teacher resources, created in seconds
What it does
Resource creation tool for primary school teachers. We help teachers populate their own lesson plan templates and generate unique visual content for diverse learners, within seconds. Save hours of work on nights and weekends with HandsOnTop.
Plan less. Teach more. AI lesson plans, printable visuals, social stories and themed worksheets for Australian primary teachers — including your school's own template, filled in. 30 free credits, no card needed.
Describe what you're teaching. Get lesson plans, activities and classroom resources you can actually print and use — including your own school's template, filled in. You’ll be asked to sign in first — new accounts start with 30 free credits. Drop in a worksheet and wrap it in your students’ favourite theme — the questions and layout stay exactly as they were. You’ll be asked to sign in first — new accounts start with 30 free credits. Please don’t include student names or other personal details on the worksheet. The classroom strategy you already know, now the way you plan. Three simple moves from blank page to ready lesson. Input your grade level (Prep to Grade 6), subject, and a basic…from handsontop.com
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NoteMap: Hand-drawn mind maps from notesJan 2026 · ▲17Paste notes. Get hand-drawn mind maps instantly.
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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…
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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.
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