
Spark education
Spark Edu — AI P2P Learning with Zero-Knowledge Privacy.
What it does
Spark Edu is an AI-powered P2P platform that converts voice to interactive lessons in seconds. Unlike existing tools, we offer 100% privacy via Zero-Knowledge Proof (ZKP) anonymous authentication—no email or personal data required. Features include high-speed AI generation (OpenAI/Groq/Gemini), offline-first design with local caching, and 4-language support. Perfect for students who value speed and sovereignty.
Does a similar job
all alternatives →



- 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…
KidSpark LearningMar 2026 · kidspark-learning.surgent.site · ▲2The AI homework helper & tutor for kids K-8
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 · 19d 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