App to Help Parents Explain Anything to Kids–and Parenting Questions

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I just built an app for children and parents to ask questions to explain to kids and to for parents to ask how to deal with any parenting situation. For example a 4 year old may ask “why does the plate break when it falls?” Sometimes it can be hard to answer that in a way that a child can understand. The system will go out and scour the web for information the topic, and then rewrite in a kid friendly and safe way. It goes and finds related images, videos, products and reference links. It also gives related words ,quiz, and some games and experiments to try with your child to see if they are really interested in the topic. You can see an example here: https://www.studyturtle.com/ask/lg5areW6-all-about-the-banan... It has another mode for parents, just ask any parenting question like "how do I get my sons to stop fighting whenever there is a pizza" This will give you a full research report by going out and crawling the internet and looking for diverse information. This was purposely built to not just choose "the best way" because there is no best way and I wanted to make sure different points of views are foundd with pros and cons. The parenting tips page will find research papers, books, blog articles, related youtube videos, and more information and present it all to you on one page. You can see an example here: https://www.studyturtle.com/ask/PJ24GoWQ-pizza-sibling-fight... You can ask a parent or kid question here https://www.studyturtle.com/ask/ to test it out, I would love to get your feedback on this.

Visit product View on Hacker NewsJul 29, 2025

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

76%76% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, 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: plain · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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

12%12% 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.

Incorrect prediction on native model

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