Monthly plan telling a household which streaming apps to keep, pause or start
TL;DR Monthpick reads a household's watchlist, the coming month's releases and the bundles it already gets through its phone or broadband plan. On the 25th of each month it tells you which paid apps to keep, pause or start. Households pay a small fee, and affiliate income from plans they pick covers the rest.
India had 14.82 crore active paid OTT subscriptions in mid-2025[1], spread across a crowded field. One streaming-guide site's India page alone shows 91 provider logos[2].
Households pay for several apps, forget which ones came free with a mobile plan and keep paying for one they opened twice. The trade press called subscription fatigue the phrase of 2025, and 37% of viewers said they'd take a cheaper tier with ads over premium[3].
The fix most people know is to cancel and come back when a show they want arrives. Hardly anyone does it, because tracking release dates across ten apps is a proper chore.
The seed pitched mood-based recommendations across all apps. I reframed it. Every OTT and aggregator already recommends titles, and a mood picker is a feature they can copy in a sprint. The job nobody is doing well is the money decision.
Monthpick asks for the household's apps, the bundles on its mobile and broadband bills and a watchlist built by tapping titles. A model matches the watchlist against release calendars and each app's catalogue, and then it produces a one-screen plan for next month - keep two, pause one, and start a third on the 3rd when a season drops. It shows the rupee saving and sets reminders before each renewal date.
Regional-language households get the same plan for Telugu, Bengali or Marathi apps, which matters when 57% of internet users prefer content in their own language[4].
Monthpick never holds passwords or cancels on your behalf. Each action is a deep link to the app's own subscription page.
The user is whoever manages the household's apps, usually a 25–45-year-old with a card or UPI autopay. My guess is ₹49–99 a month, or a free tier with ads, and that only makes sense if the plan saves several times that. A second line is affiliate income when the user picks a telecom bundle or an aggregator plan through the app. Those payouts aren't public and need testing.
Through 2025 Indian streaming growth slowed, discounts stopped hiding churn and acquisition costs rose[3]. Telecom companies pushed bundles, with one large streamer tied to a telco's plans and another telco's bundle past 50 lakh paid subscribers[3]. So more households now hold apps they didn't knowingly choose, and that's exactly the mess Monthpick sorts out.
No public figure exists for how many Indian households rotate subscriptions or would pay to plan it. The narrow pool is urban households paying for two or more apps, and I found no count for that either.
Adjacent - 60.12 crore Indians watched online video in the month before one media-research firm's 2025 survey[1]. Treat that as background.
Streaming-guide sites tell you where a title is streaming and let you filter by the services you hold[2], but they don't plan your month. Telecom bundles and aggregators sell more apps under one bill, which helps the seller more than the buyer. Similar US tools track watchlists.
No Indian product I found tells a household what to drop.
| Difficulty | Moderate (33/100) |
| Starting capital | ₹35–70 L |
| Time to launch | 4–6 months |
Catalogue and release data across Indian apps, regional ones included, is messy and has no single clean feed. Keeping it accurate never stops. The commercial problem is harder though, because you're asking people to pay a fee for advice that makes them spend less.
No special licence here, so you mainly need the baseline plus care with data and links.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't trust AI on price and plan details without checking the source. A wrong renewal date or price costs the user money, so verify those against each app's own page.
Want to work out the AI layer for Monthpick? Talk to Yash →
Here's what can go south -
I like this for a small, data-minded team that can run lean on consumer marketing. If you need venture-scale returns quickly then look elsewhere, since the fee is small. Prove first that 30% of beta users follow at least one pause suggestion in their first two months.
Expect roughly ₹35–70 L, mostly on catalogue data work and lean consumer marketing.
It's a small-fee business, and the hard part is getting people to pay for advice that helps them spend less. Prove first that beta users act on the pause suggestions.
Yes, streaming fatigue is global. Check local data protection and advertising rules, and the terms of any catalogue feed you use.
The free Monthpick validation kit has the line-by-line capital breakdown, the effort scoring, the data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for households, and 5 assumptions to test. Download the kit →
Thinking about building Monthpick or something close to it? The make-or-break work is a reliable catalogue feed for Indian apps and a price people accept, and I'm happy to think that through with you. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.