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Streamline – A persistent YouTube queue manager

Hacker News

Streamline – A persistent YouTube queue manager

Hi HN, I've been working for a bit on this simple Youtube Queue chrome extension because my "Watch later" queue was getting too big and Youtube's queue always felt restrictive. List of features: - Persistence: Saves the queue state to local and sync chrome storage. - Quick add: Add videos or whole playlists with a single click, from thumbnails or their respective page. - History: Keeps a list of videos played from the queue. - Drag-and-drop: Reordering the videos within the queue. - Search: Find videos in the queue by title or channel name. - Import/Export. - No accounts or tracking. I would appreciate any feedback on the UX or if you run into edge cases where videos/playlists don't get added correctly.

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Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos
74%74% 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 · Missing: supports, reddit linkedin, podcasting
65%65% 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, way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, 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
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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