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GPT-3-based app for couples to build the relationship consciously

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GPT-3-based app for couples to build the relationship consciously

I'm a developer and I wanted to improve my technical skills while gaining more product knowledge. It's been challenging to do this at work, so I've been exploring ideas for creating a useful app that will also allow me to use a cool tech-stack and recent AI progress. I have spoken to many couples and therapists, and a common theme that came up was communication problems. I dug a bit deeper and realized that these issues could be prevented, if people consciously get to know each other at the initial dating stage. So I have created an app that helps couples establish meaningful communication from the early stages of their relationship. The app gives you a question and an action for your date, then afterwards app sends you a self-reflection question and ask for your feedback on how it went. App also provides an entertaining way to keep a relationship diary. Here are the links to Apple Store ( https://apps.apple.com/no/app/nemlys/id1662262055 ) and Google Play ( https://play.google.com/store/apps/details?id=com.nemlys.app ) I've also heard that couples want more personalized questions that adapt to their relationship. So, I have introduced AI-generated questions based on the detailed feedback on how conversations went, their relationship diary within the app, previous questions, relationship goal, their milestones and level of intimacy. With all this context, GPT-3 can create a personalized question about the specific issue you're facing. I want to make the personalization even more precise and require less input from you (because let's be real, not everybody wants to write long diaries). What do you think are the best ways to achieve it? I am thinking about fine-tuning the model on our examples how to ask a personalised question with less context

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
86%86% 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 HuntOn track for Day 1 leaderboard · Strong signals: mac, model, apple · Missing: agents, macos, agent
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, google · Missing: mobile apps, ios, entrepreneurs
62%62% predicted probability of success on TrustMRR, 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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 · Strong signals: introduce · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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