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Play music with others in real-time (with video)

Hacker News

Play music with others in real-time (with video)

Over a year ago, we released JamKazam (https://www.jamkazam.com). At the time, our focus was solely on getting the audio as low-delay as possible, to enable musicians to play across the internet, in real-time. Lag has to be not noticeable, or at least tolerable, for this to work. There is lots of skepticism, because I think people intuitively know that every combination of network connection/audio gear won't be fast enough, so we have to do our best to set that expectation while still encouraging people to try it out... because for many, it does work. On the other hand, some people don't care about the latency; they will play across oceans where latency must be horrible, but they still get something out of it. Anyway, users have been asking for video since we launched the site, and yesterday we finally got it out the door. We've made every effort to do what we can to ensure that audio receives priority over video. We've also tried to address some problem areas; it's hard to have a 'multi-player only' website when you are trying to get it off the ground. Also, the free-formed nature of a open 'jam session' is really daunting for most musicians. So we added multi-track covers of popular songs so that if you want to play with a band for a particular song by yourself, or want to play a song with someone else across the internet, you can do that. By the way, some of these covers are really dead on, like this Pearl Jam one (you can listen to previews of the tracks as well as the full mix): https://www.jamkazam.com/landing/jamtracks/pearl-jam-even-flow Any questions or comments are welcome.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: songs · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: video, users, way · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, reviews, users · Missing: plus, platform, host
44%44% 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
18%18% 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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