
AskData AI
Ask your data. Get instant visual answers.
What it does
AskData AI turns your database into a conversation. Simply ask questions in plain English and get instant charts, visualizations, and actionable insights—without writing SQL or building dashboards. Unlike traditional BI tools, AskData AI combines AI-powered querying, automated analysis, and real-time visualizations to help teams uncover trends, track metrics, and make data-driven decisions faster. Your data becomes as easy to use as chatting with an assistant.
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Zing: Visual AI Charting and Alerts2023 · ▲133Gen AI charting, dashboards & alerts on mobile & the web
- AAAskData – API to Translate Natural Language-2-Sql2019 · askdata.com · ▲111
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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.
AI · 17d ago · simedw.com
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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, June 2026
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- H6Homebrew 6.0.0▲1,481
Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
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hope you enjoy
Life & fun · Jun 2026 · vorpus.github.io


- IM
Life & fun · Jun 2026 · hackernewstrends.com