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Generate YouTube Scripts (From Ramblings)

Hacker News

Generate YouTube Scripts (From Ramblings)

When covid hit, I was forced to close my recording studio. At that time my primary source of income and occupation. So, I picked up coding and started a YouTube channel, to fill all the time I suddenly had. But, whenever I wanted to record a video for my YouTube channel, I completely drew a blank. Turns out most YouTubers write scripts to structure their thoughts and ideas before hitting the record button. This is time consuming and creating well crafted scripts can take many hours and sometimes days. I thought: There must be a better way. This is when, I came up with a process that I turned into ScriptFast: A web app that uses AI to structure ramblings about a topic into a well written and structured YouTube script. You can try it out for free and kick off your YouTube career ;) Let me know what you think about it.

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Product HuntOn track for Day 1 leaderboard · Strong signals: coding · Missing: mac, agents, macos
72%72% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, 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
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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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