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mixtape – A Meteor.js Collaborative Playlist Web-App

Hacker News

mixtape – A Meteor.js Collaborative Playlist Web-App

Mixtape was an attempt to export the YouTube playlist making functionality to a nicer interface that makes social playlists a lot easier. You can share a playlist with a friend using the share button below, pass the URL to a friend (or bookmark it for yourself!), and you guys can start adding or deleting songs or videos in real-time, as long as you guys are on the same link. Ask me any questions about development, I'd be glad to answer them. This was my first web development project, and I'd love some feedback. I used Meteor.js after watching their demo video on HN because it was a lot simpler to pick up for a first-timer than a lot of other more mature frameworks.

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Actual performance

3points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
76%76% 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.
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.
Indie HackersIH features products with proven revenue · Strong signals: songs · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
36%36% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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