StoryWeave
Workspace for plotting, scenes, chapters, and worldbuilding
What it does
StoryWeave is an AI writing workspace for long-form fiction. Plan your story in one place with overview, outline,scenes, chapters, codex, characters, and worldbuilding tools. Keep context consistent across your draft, collaborate with AI while writing, and export your manuscript to Markdown when you are ready to publish.
Does the same job
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- MFMy first full stack project2023 · plotnotes.ai · ▲36
Just finished my second year at college studying Computer Science, and wanted to try and gain experience as a full stack dev this summer, so I made a website that allows users to create stories using openai's API, using embeddings for custom terms users can define, and create short stories and chapters alike. I'm mainly just looking for some feedback on how I can improve it or make it more presentable, so any help/feedback is welcome and appreciated!
- SKStory Keeper – AI agents with narrative continuity instead of memoryOct 2025 · github.com · ▲16
Hi HN! Creator here. I built Story Keeper to solve a problem I kept hitting with AI agents: they remember everything but lose coherence over long conversations. The Core Idea Instead of storing chat history and retrieving chunks (RAG approach), Story Keeper maintains a living narrative: Characters: Who you are (evolving), who the agent is Arc: Where you started → where you're going Themes: What matters to you Context: The thread connecting everything Think of it as the difference between reading meeting notes vs. being in the relationship. Technical Approach ~200 lines of Python. Three…
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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, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app