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My Care Voice – We Help You Prepare for the What Ifs

Hacker News

My Care Voice – We Help You Prepare for the What Ifs

We are excited to introduce My Care Voice to the HN community! It's been a personal quest of mine to develop a process to ease the burden of creating advance directives. Everyone needs them, but few think about it until it's too late. Typically, it requires an expensive visit to an attorney or the cumbersome, impersonal process of filling out paperwork. In 2016, my sister had a sudden heart attack in the middle of the afternoon. She was rushed to the hospital with no way to speak or respond. That was when I fully grasped the importance of having these wishes recorded and available. Her family, including her two kids in their early twenties, were in the hospital waiting room, not knowing her wishes during those terrifying moments. The doctors were completely in the dark about how far to go with life-sustaining measures. My Care Voice is the simplest way to create these invaluable advance directives, so your loved ones and caregivers won't have to guess your wishes if something unexpected happens. With My Care Voice, you can: Be informed with definitions and examples in an easy-to-follow journey that you can complete in minutes or over time. Receive reminders and status updates. Complete one or more of your advance directives at your own pace. Securely share your completed documents with care professionals and loved ones. Make updates or amend at any time as your life changes. Try My Care Voice now, and don't hesitate to share your feedback to help us build the ultimate advance directive experience!

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
95%95% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, io · Missing: https docs, just released, exist
51%51% 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 · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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.

Incorrect prediction on native model

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