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Interactive video that brings websites to life

Hacker News

Interactive video that brings websites to life

Hi HN, I’ve been working on a project called Sisu Video, which introduces something we’re calling videobots. The backstory: I’ve always felt that websites are cold. Most are just walls of text or static images, sometimes with a chatbot, but they rarely feel like there are real people behind them. We wanted to change that. A videobot is an interactive video experience you can embed on your site. Instead of reading text or chatting with an AI, visitors interact with short videos recorded by you or your team. After each video (10–30 seconds), they get clickable choices that determine what plays next. Eventually, the flow leads them to a clear next step: booking a call, signing up, or learning more. What makes it different: - Combines the authenticity of video with the interactivity of branching logic - Everything is human-recorded and guided, not AI-generated text - Makes websites feel personal - visitors see real faces explaining your product or service We’ve just launched v1, and you can try it here: https://sisuvideo.fi/?ref=hn You can see it in action in the bottom-right corner of the page, like a chatbot. No signup barrier if you just want to explore. I’d love feedback from this community - especially around whether this feels useful, how the UX comes across, and potential edge cases we may have missed. Brutal honesty is welcome. - Joa

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: activity, plain · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, video, way · Missing: mobile apps, ios, entrepreneurs
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, active · Missing: mrr, revenue, profit
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, real people, introduce · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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