SetFlow.app

TrustMRR

# SetFlow — AI DJ Set Generator > "Tell me the vibe. I'll build the set." SetFlow generates harmonically-mixed DJ playlists from your music library (RekordBox/Traktor/Serato) using the Camelot wheel,

# SetFlow — AI DJ Set Generator > "Tell me the vibe. I'll build the set." SetFlow generates harmonically-mixed DJ playlists from your music library (RekordBox/Traktor/Serato) using the Camelot wheel, BPM matching, and intelligent energy curves. ## Features - **Harmonic Mixing** — Every transition follows the Camelot wheel - **BPM Matching** — Smooth tempo transitions (±3% between tracks) - **Energy Profiles** — Journey, Peak Time, Warm Up, Chill, Cool Down

Visit product View on TrustMRRDec 1, 2025Entertainment Software B2C

Actual performance

36customers

$163MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating5

MRR growth 30d-16.2%

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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