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I made a WYSIWYG AI editor for scriptwriting
Hacker NewsI made a WYSIWYG AI editor for scriptwriting
Hey HN! For the past 6 months I've been working on this project. I make educational YT videos and I found myself constantly switching between Notion and ChatGPT, so I decided I'll combine both into a single app. Now I have all the context stored by the AI, so I don't have to teach it my writing every new chat. And all of that in a beautiful WYSIWYG, Notion-like editor. I hope you find it useful! Let me know your feedback. Victor
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Product HuntOn track for Day 1 leaderboard · Strong signals: new, context, chatgpt · Missing: mac, agents, macos97%97% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released63%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, month, education · Missing: mobile apps, ios, personal59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% 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, revenue22%22% 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 · Missing: web3, crypto, cryptocurrency0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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