ShakespeareAI 3.0
The AI book writer with a market research team built in.
What it does
Most AI book writers help you write faster. None tell you if it'll sell. ShakespeareAI now ships with Book Signal — live Amazon Kindle genre & category trend data, so you know what's worth writing before page one. Then generate a full book from one prompt, keep character voice consistent across a series, and publish in 30+ languages with Book Translator. Free to start, no credit card.
ShakespeareAI is the best free AI book writer and AI novel generator in 2026. Write a full novel, short story, or non-fiction book with AI in minutes. Export PDF & EPUB, publish to Amazon KDP. No credit card needed.
ShakespeareAI is the only AI book writer that remembers your characters across an entire series — and produces prose that reads like a human author wrote it . No writing experience required. Just your idea — the AI novel generator handles everything else. Romance, thriller, fantasy, sci-fi, mystery, horror, children's, non-fiction — 15+ genres with AI tuned to each genre's conventions, pacing, and voice. One or two sentences about your idea. “Enemies-to-lovers between a bookstore owner and a developer.” The more specific, the stronger the output. Full chapter-by-chapter structure with plot points, character arcs, and turning moments — generated in under 2 minutes before any prose is…from shakespeareai.net
Does the same job
all alternatives →
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
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 · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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