Mittalmar
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What it does
Most YouTubers are creatives, not marketers. The packaging side (the thumbnail, the title, the angle) is where a lot of good videos quietly lose their audience before anyone even watches them. Mittalmar is the video packaging hub, that helps creatives become marketers without changing their content.
Find channel-specific video ideas, research outliers, and create stronger YouTube titles and thumbnails with Mittalmar’s creator tools.
Find stronger ideas, sharpen your titles, and plan thumbnails that help the right viewers choose your videos. You should not have to become a marketer to make a strong thumbnail. Mittalmar helps you earn the click without losing what makes your channel yours. Turn each idea into titles that give viewers a clear reason to click. Shape your ideas for greater reach while keeping the voice and identity your audience knows. Use practical ideation techniques to develop strong ideas from scratch. Package your videos with title formats backed by real performance. Track channel growth over time and see where viewers are paying attention now. See which channels are growing fastest and what they are…from mittalmar.com
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.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.
AI · 16d ago · simedw.com