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Have a question on your medication or supplement? Ask a pharmacist now

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Have a question on your medication or supplement? Ask a pharmacist now

Hey everyone! TL;DR: Looking for feedback on my app in exchange for a one-time free consultation with a pharmacist 24/7 (an appointment would be encouraged as well!) A quick reflection on the focus of my company, ImpactPharm: Let's talk about Uber first. It is a technically complicated app for a simple idea: getting someone from point A to point B by connecting them with a freelance driver. See this blog: "The Uber Engineering Tech Stack, Part I: The Foundation | Uber Blog" https://www.uber.com/blog/tech-stack-part-one-foundation/ Our Uber-inspired healthcare app aims to answer a patient's contextual medication-related question by connecting them with a freelance licensed pharmacist. The reviews and profiles of pharmacists and patients are features. They make us more approachable. The thoughtful, contextual, and actionable answer is the key product. That's our destination. Our ImpactPharm app is now available on the App Store on both Android and iOS/Apple for you to download: Apple App Store: https://apps.apple.com/vn/app/impactpharm/id1624419611 Android App Store: https://play.google.com/store/apps/details?id=us.impactpharm... Please give us a try. Everyone has a free trial from now until Labor Day, September 5, 2022! Please write us a review on the App Store and let us know whether: > The information provided by your pharmacist is clear, helpful, and well researched. > The app is readable and runs smoothly. > You plan to continue using ImpactPharm. > Using ImpactPharm improved your overall health and well-being. > The care you received from ImpactPharm is worth more than what you paid to use this service. And please tell us: Why will or will you not use this app again? Thank you for your support! Sophie Le, PharmD Co-founder & CEO ImpactPharm, Inc

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
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best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, apple, google · Missing: agents, macos, agent
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, apps, google · Missing: mobile apps, personal, entrepreneurs
43%43% 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
36%36% 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 · Strong signals: reviews · Missing: plus, platform, intuitive
32%32% 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 · Strong signals: paid · 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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