Madhav Singhania

Madhav Singhania

Founder of SvaraSleep & TuckQ

About

I’m Madhav, a 16-year-old student founder from India building SvaraSleep. I started it after seeing how stress and poor sleep affected people around me, including my own routines. I’m here to learn from builders, share openly, and create something genuinely helpful for restless minds.

Badges

Tastemaker
Tastemaker
Gone streaking
Gone streaking
Gone streaking 5
Gone streaking 5

Maker History

  • SvaraSleep
    SvaraSleepIt creates a sleep ritual
    Oct 2026
  • 🎉
    Joined Product HuntSeptember 20th, 2026

Forums

SVARASLEEP IS ABOUT TO DROP!!!

Hi everyone svarasleep is officially going to be launched as a webapp first then we are thinking of launching it on play stores.SvaraSleep is a musical approch of tackling sleep related problems.Svara which is basically music,frequencies,beats will be recommend by the app out of the 3 options given the user can select any three.These sounds will be recommended based a sleep profile which will consist of 10 questions which is a one time process and then an evening check in which will ask their stress, time checking, and their mood.After every night in the morning the user can reflect if the svara genuinely worked or not and then the app will consider it and improve the suggestions

SvaraSleep - It creates a sleep ritual

The people who find the sleeping sounds boring and not made for them this app will recommend them 3 options for the user to choose and help creating a sleep routine.

I’m deciding what SvaraSleep should personalise first—what would you choose?

I m building SvaraSleep, a sleep-routine app, and I m at a product decision I m struggling to make.

Most sleep apps either ask a lot of questions upfront or give everyone the same sounds and routines. I want to personalise the experience, but I do not want onboarding to feel like homework or collect more information than is genuinely useful.

For an early version, I can prioritise only one of these:

  1. Routine timing helping users build a realistic wind-down routine around their usual sleep and wake times.

  2. Audio preference suggesting sound environments based on what helps a user relax.

  3. Nightly check-in adjusting the suggestion based on whether a user feels stressed, restless, or tired that evening.

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