Vidix Studio
See all your YouTube channels in one clear dashboard
What it does
Track and analyze multiple YouTube channels in one place. VIDIX removes the need to switch between accounts, tabs, and spreadsheets by bringing all key metrics into a single dashboard. Compare performance, monitor growth, and spot trends faster. Built for creators, managers, and teams working with multiple channels
Track YouTube channels, monitor video performance, and manage creator analytics in one Vidix workspace.
See channel performance, compare growth, and keep your team aligned in one clear workspace. Everything your team needs to track channels, spot momentum, and make faster decisions. Track multiple channels from one workspace and see views, subscribers, videos, and channel-level snapshots in one dashboard. Stack channels side by side and spot who is growing, where view momentum is shifting, and which channels need attention. Organize channels by workspace, tags, client, or project. Built for teams managing more than one YouTube presence. Invite teammates into the same workspace and keep account access and operational ownership in one flow. Keep channel data up to date without bouncing between…from vidix.studio
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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…
AI · 30d ago · cactuscompute.com


Source: Product Hunt launch ↗
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



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

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com