We're Excited to Launche In Video AI: An AI Video Generator

Hacker News

Hello everyone! Over the past month, we’ve been thrilled to announce the launch of our new product—In Video AI! In Video AI is an innovative AI-powered tool designed to transform text into engaging videos quickly and easily. Whether you're using it for marketing, education, social media, or internal training, In Video AI helps you create high-quality videos that make your messages more compelling. During this period, we were fortunate to have a group of users who participated enthusiastically in our testing phase and provided invaluable feedback and suggestions. We want to extend our heartfelt thanks to these early adopters for their support and contributions! However, we understand that continuous improvement and optimization of our product rely on the participation and feedback of more users. That's why we're reaching out to gather additional insights and suggestions from you all. We want to hear about your experiences with In Video AI—any issues you’ve encountered, ideas you have, or features you’d like to see added. Whether it's about enhancing functionality, improving the interface design, or any new features you’re looking forward to, we’re eager to listen. Every piece of feedback is priceless to us and will help us refine and enhance our product to deliver a better user experience. Thank you again for your interest and support in In Video AI! We look forward to hearing from you!

Visit product View on Hacker NewsJun 20, 2024

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

89%89% 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: user, new, using · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

41%41% 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: training · Missing: arr, mrr, revenue

17%17% 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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