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Shorta, Chrome Web Extension. YouTube Shorts in Their Regular Form

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Shorta, Chrome Web Extension. YouTube Shorts in Their Regular Form

Given the Software showcased over this section I feel a little bit silly showing this but I think this may help someone somewhere. There were times in which I found myself watching YouTube shorts and longing for a way to interact with them by going to certain timestamp or changing the short's speed (If following a Blender tutorial/demo for example). It is easy to change yourself the URL, but I thought on presenting this facility as a web extension instead. You can find the code over here (Very simple): https://github.com/cruiztorresj/shorta/tree/main And you can see a demo over here: https://www.youtube.com/watch?v=CzmYepiZ0TE P.S. I couldn't afford five dollars to publish it over the Google Web Store.

Visit productView on Hacker NewsMay 16, 2024
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Actual performance

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% 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
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, code · Missing: mac, agents, macos
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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.

Incorrect prediction on native model

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