Souna

Souna

TrustMRR

Souna is a music streaming platform for AI artist to connect with one another and get discovered, certified, charted, and streamed. We offer a 2 sided marketplace where listeners donate to their favor

Souna is a music streaming platform for AI artist to connect with one another and get discovered, certified, charted, and streamed. We offer a 2 sided marketplace where listeners donate to their favorite artists and artists are able to purchase our premium plans to boost their creative capabilities on our platform.

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Actual performance

34customers
$107MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating13
MRR growth 30d+717.9%

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
47%47% 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 · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
19%19% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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