Si

Simple YouTube Downloader

Hacker News

Simple YouTube Downloader

test $# -gt 0||exec echo usage: echo youtube-url\|$0 fmt \[saveas\];b=$(exec sed 's/http:/https:/; s/m.youtube/www.youtube/;s/youtu.be./www.youtube.com\/watch?v=/;s/hooktube.com/youtube.com/;s/embed./watch?v=/;#etc.;s/?version. //;s/;. //;');echo source url: $b;c=${b## =};a=$(ftp -4o/dev/stdout $b|exec grep -o "https%3A%2F%2Fr[0-9] [a-zA-Z0-9.%_-]*"|exec sed 's/%26/\&/g;s/%3D/=/g;s/%3A/:/g;s/%2F/\//g;s/%3F/?/g;s/%25/%/g;/itag='"$1"'/!d');echo video url: $a;exec ftp -4o ${2-$c} $a;

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Actual performance

9points
6comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
47%47% 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
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
15%15% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Incorrect prediction on native model

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