About KoalaVOD

I'm Stinus Højensbo, a solo developer from Denmark. After finishing my bachelor's in electrical engineering at DTU, I went down a different path—playing Hearthstone professionally in the early esports days, then moving to Gods Unchained with Infinite Mana.

That led me to video editing for the team. I loved the creative work—building narratives, timing cuts, making moments land. But I hated the part that came before: spending hours scrubbing through VODs looking for highlights.

For every 10 minutes of editing, I'd spend 30 minutes hunting for clips. Rewatching streams I'd just played in, trying to remember which game had that insane comeback, which match had the moment worth sharing.

The tools didn't help. Twitch clips required manual effort during streams. Stream markers only worked if you remembered to press the button mid-game (who does that during a clutch play?). Everything else just showed you a timeline and said "good luck."

Then I noticed something obvious: chat exploded during good moments. A sick play? Messages jumped from 20 per minute to 150. Something funny? Emote spam. The audience was marking highlights in real-time, automatically. The data was sitting right there in every VOD's chat logs.

So I built a tool to use it. KoalaVOD started in early 2025, went through a few months of closed beta where I learned what editors actually needed (spoiler: not more features, just faster clip finding), and opened up publicly in September 2025.

These days I'm working full-time on the app from home here in Denmark, living with my wife and two kids who think my job is watching people play video games all day. They're not entirely wrong.

What keeps me going? Messages from editors saying they got back 10 hours last week. Streamers who can finally ship consistent clips without burning out. That's worth the late nights and uncertain revenue months.

If you're spending hours hunting for clips, you're solving the wrong problem. Your audience already told you where the good parts are—you just need to listen to the chat data.