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Parents Would you use a screen-time coach for your kids?

Hacker News

Parents Would you use a screen-time coach for your kids?

Hi HN, We’re currently working on PlatyPause, a gamified screen-time guide for kids and families. Instead of hard limits or constant battles, PlatyPause helps parents set up healthy screen-time habits with a custom roadmap based on child development research. Kids follow “missions” like in Duolingo—earning badges, leveling up, and being guided by a fun mascot. Parents stay in the loop with real-time insights and gentle nudges to keep things on track. If you are or have been a parent of a 5–12 year-old, we’d love your input as we build: https://platypause.com We’re especially curious: - Would this kind of structure help in your home? - Does the gamified approach sound like something your child would engage with? - What features or insights would you want most as a parent? Thanks in advance.. your feedback will directly shape what we’re building.

Visit product View on Hacker NewsJul 21, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

78%78% predicted probability of success on Indie Hackers, 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 · Missing: mac, agents, macos

49%49% 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: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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