CodeRaga – Flow State for Developers Through Indian Classical Music

Hacker News

Curated ragas that supposedly do wonders for your focus—each raga’s got its own mathematical note patterns that tap into different brainwave states. - Time-based selection (morning/afternoon/evening) so you’re in sync with your circadian groove. - Pomodoro timer with 30/60/120-min options, because you know a little structure can go a long way. - No vocals—just soothing instruments like sitar, santoor, and flute, so your brain isn’t fighting any lyrical distractions.

Visit product View on Hacker NewsJan 20, 2025

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

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, 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

34%34% 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 · Missing: supports, reddit linkedin, podcasting

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

23%23% 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

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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