Create how-to videos and guides fast

Hacker News

Hey HN, I'm Kamal, a 20 year old builder from India, with a team of 4. I was building an AI-powered course builder initially, and once we started getting some paying customers biggest problem that we encountered was teaching them how to use the product. I wanted to create help centre but I couldn't, probably the procrastination, because I felt like it was a huge task. So, me and my co-founder decided to make creating videos and guides for this help centre fast and easy. This is where Kroto comes in, you just record a product/process walkthrough and it generates studio quality how-to videos with zoom-in and transition effects along with a step-by-step guide with GIFs for every action. Here's the demo: https://www.youtube.com/watch?v=JmeeNmpNepY I want to know if you guys also face similar issues, and want to get some feedback on the product. Biggest issues right now: Publishing time way too long, editor not optimised, no way to remove or add more zoom-ins in the video.

Visit product View on Hacker NewsJul 21, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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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