VidFlow AI
Paste URL. Get a new video. Done.
What it does
VidFlow AI automates your entire YouTube content workflow. Paste any video URL and in minutes you get a ready-to-publish video: original AI-written script (GPT-4o), realistic AI narration (ElevenLabs), automatic editing with music and cuts, AI-generated thumbnail, and direct upload to your channel. Set it on autopilot and it runs every day by itself — no editing software, no recording, no burnout. Average cost: ~$0.20 per video. 7-day free trial, no credit card required.
Does the same job
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Tired of recording the same product demo 10 times and still not being happy with it? That’s basically why I built AutoAds (autoads.pro). The idea: you paste your site’s URL, and an AI pipeline does all the annoying stuff for you, fully automatic. What it does - You paste the URL of your site (SaaS, e-commerce, portfolio) - An AI pipeline visits the site and analyzes the content (sections, copy, visuals, CTAs, etc.) - It generates a screen-recording-style video of your site: - scrolling and navigating - focusing on the key sections - It then does an automatic edit: - short cuts -…
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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 · 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