SEOBeast
Fully automated AI blogging that grows your SEO
What it does
SEOBeast is an AI-powered SEO growth platform that automates your entire content workflow. It discovers high-value keywords, researches competitors, generates SEO-optimized articles, creates internal links, and publishes content automatically to your website. From strategy to ranking, SEOBeast works like an autonomous SEO team, helping you grow organic traffic with minimal effort.
SEOBeast researches, writes, optimizes, and publishes SEO content every day. Build compounding traffic from Google and AI search without building a content team.
SEOBeast finds high-value topics, writes expert articles in your voice, and publishes them across Google and AI search. You pay $1 today. On day 3 your subscription starts at $49/mo — cancel before then and the $1 is all you’re charged. Anything already published stays on your site. An 18-second tour of the workflow SEOBeast repeats for every project. No video asset — this product story is rendered entirely in the page. One URL is enough. SEOBeast learns your product, audience, and existing content. Competitor gaps become connected clusters, scored against your actual domain. A full month is prioritized by intent, difficulty, and business value. Every article is drafted in your voice,…from seobeast.app
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Growth · 29d ago · astrapixels.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 · 16d ago · simedw.com