Qbiz — AI Advisor for Your Business
Stop guessing. Start knowing.
What it does
Running a business should not feel like guessing. Qbiz connects to Stripe, Shopify, QuickBooks, Plaid, Meta Ads, Google Ads, TikTok Ads, Square and more. It turns your data into clear plain English answers about your revenue, cash flow and profitability. No dashboards. No reports. No guessing. Just ask Qbiz and get a real answer instantly. Free for launch users.
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Bin is an AI business intelligence analyst that turns data into dashboards. Our goal is to make creating dashboards simpler to do than no-code alternatives like PowerBI and Tableau while preserving the powerful customization abilities of raw SQL and Python. Here’s a quick demo: https://www.youtube.com/watch?v=Fsh8M3hIjDA. Customers from our previous product wanted custom dashboards but didn’t want to spend on technical staff to build them. They wanted customizability of the dashboard yet simplicity of the building experience. So, we studied the approaches of Devin, Claude…
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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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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…
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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!
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