myHERALD
A week of researched, on-brand content in 20 minutes.
What it does
Most AI writing tools give you a blank prompt box. myHERALD runs the content operation: it plans your week, researches live sources, drafts in your voice, fact-checks claims, creates visuals, and puts every piece in your review queue. Skills, knowledge, and editorial feedback stay in one workspace, so each run starts with context. Built for solo founders and marketers of one. 14-day free trial, no card required.
myHERALD plans, researches, and drafts your content week in your voice. Every claim is sourced. Nothing publishes without your approval. Free trial, no credit card.
myHERALD plans your content week, researches it, and drafts it in your voice. Every claim traces back to a source. Nothing publishes until you approve it. If content always lands at the bottom of your list, myHERALD was built for you. You're building the product, talking to customers, and somehow also supposed to post every day. You are the whole marketing department. Strategy, writing, publishing, reporting. myHERALD takes research, drafts, and publishing off your desk. No budget for a content team, but the pipeline still needs to fill itself. myHERALD doesn’t just write. It verifies. A dedicated research step checks claims against live sources and your Knowledge Hub before content reaches…from myherald.io
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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.
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