Bylio – Turn expert interviews into polished B2B articles your team approves
Bylio helps B2B marketing teams turn expert knowledge into publish-ready content. It guides your subject-matter expert through a short, adaptive interview, spoken or typed, then drafts articles, blog posts, or case studies in your brand voice based solely on what they said. The w
In plain words
Bylio helps B2B marketing teams convert expert interviews into finished articles without extensive editing. The platform guides subject-matter experts through adaptive interviews conducted via speech or text, then generates articles, blog posts, and case studies in the company's brand voice. The resulting content requires team approval before publication, streamlining the process of turning expert knowledge into polished marketing materials.
written from the facts on this page · September 2026
From the sources
Turn expert interviews into polished B2B articles your team approves
Bylio helps B2B marketing teams turn expert knowledge into publish-ready content. It guides your subject-matter expert through a short, adaptive interview, spoken or typed, then drafts articles, blog posts, or case studies in your brand voice based solely on what they said. The workflow tracks stages, sends reminders, and shows what needs attention while your team reviews and approves before anything goes live. Teams get predictable monthly output at a fraction of ghostwritingfrom betalist.com
More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
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 · 17d ago · simedw.com