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Shotty – Create TikTok/Instagram-like shorts from a given URL or text

Hacker News

Shotty – Create TikTok/Instagram-like shorts from a given URL or text

Hey HN, this is just a fun weekend project called Shotty. It lets you create TikTok/Instagram-like shorts from a given URL or text. Please don't take generated content seriously :) Repo: https://github.com/n4ze3m/shotty-fun Few generated videos: https://shotty.fun/api/v1/file/clpzn4l110003v0ntxwf1w9ac/vid... https://shotty.fun/api/v1/file/clpznys9x0005v0ntvtcyovct/vid...

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Actual performance

8points
7comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
61%61% 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.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% 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, intuitive
37%37% 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
23%23% 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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