Ti

Tinytunes DJ – A DJ deck in the browser

Hacker News

Tinytunes DJ – A DJ deck in the browser

TLDR: https://dj.t-tunes.com/ Hey everyone, the past few months I've been working on a couple of lightweight music apps that run within the constraints of the browser, and focus on providing a delightful (hopefully) music experience. The first project I've launched is tinytunes DJ (just in time for NYE parties!), a minimal DJ deck that runs in your browser, on your laptop, your phone, and your tablet. The absolute essence of a good DJ set is a great track list and smooth transitions (crossfade) between the tracks. tinytunes DJ helps you accomplish that and a bit more too. A quick overview below: ## ADD TRACKS From mp3s from local library or tracks and playlists from YouTube. ## PLAY Control two decks, playlists, cue, sync and crossfader. tinytunes DJ has configurable keyboard mappings, UI hints and visual feedback so you can get a tactile feel by using the keyboard controls. ## RECORD Record combined audio output, track list and timings. (Local only at the moment) ## SHARE Every mix is shareable, listenable, and likeable. Each recorded mix has its own page and URL, and shows the track lists and when which song was played, etc. Peeps can give you feedback in the form of likes and comments. ## BONUS: Music Player A lot of people have asked me if they can just use this as a music player. Yes, just toggle AUTOPLAY ON on the deck/queue and tinytunes becomes a music player, meaning it automatically plays next track in the queue. You can then create playlists and tinytunes will automatically play the next track in the background, even YouTube playlists running in the background on your phone work (depending on your browser, settings, and OS. Edge works perfectly on Android). Coming soon is support for Bandcamp, ability to import YouTube playlists, cloud sync for local tracks (YouTube tracks and playlists already sync across devices), so your music collection is available anywhere, as well as support for MIDI controllers, and a cue channel. Try it out and let me know what you think. Looking forward to bug reports and rough edges, UX improvement ideas, feature requests etc. And if you don't want to DJ you can try using it as your music player. PS. If you want to stay updated you can simply create an account and you will automatically get a lifetime 'Medium' account and occasional emails when I launch the above features.

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, email, visual · Missing: mac, agents, macos
92%92% 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
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
56%56% 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 · Strong signals: occasional, soon · 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: apps, month · Missing: mobile apps, ios, personal
47%47% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · 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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