FilmPilot.ai
AI-Powered Screenplay Insights & Visualizations
What it does
FilmPilot.ai helps filmmakers transform their scripts into vision with AI-powered audience simulations, storyboards, character design, and script analysis. The ultimate bridge between screenplay and screen.
Does the same job
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- FTFine-tuned Qwen2.5-7B on 100 films for probabilistic story graphsFeb 2026 · cinegraphs.ai · ▲101
Hi HN, I'm a computer systems engineering student in Mexico who switched from film school. I built CineGraphs because my filmmaker friends and I kept hitting the same wall—we'd have a vague idea for a film but no structured way to explore where it could go. Every AI writing tool we tried output generic, formulaic slop. I didn't want to build another ChatGPT wrapper, so I went a different route. The idea is simple: you input a rough concept, and the tool generates branching narrative paths visualized as a graph. You can sculpt those branches into a structured screenplay format and export to…
- AMAI Movie Finder – I created a way to find movies by describing2025 · aimoviefinder.com · ▲10
Hi Hacker News, I'm excited to share a project I've been passionately working on in my spare time: AI Movie Finder (https://www.aimoviefinder.com). The idea was born out of a simple, yet frequent, frustration: having a movie on the tip of my tongue but being unable to recall the title. All I could remember were fragments – a specific scene, a snippet of dialogue, the general plot, or even just the mood it evoked. Traditional search engines often fell short with these kinds of abstract queries. So, I decided to build a solution. AI Movie Finder uses a natural language processing…
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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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AI · 18d 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
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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