A

A Mental-Health Driven Social App with a Built-In CRM

Hacker News

A Mental-Health Driven Social App with a Built-In CRM

Hey HN! My name is Connor and I am posting today to launch (aka gather feedback on) the app I have been working on. I have General Anxiety Disorder. And that’s most definitely the first time I’ve written those 5 words out like that. My anxiety, very luckily, has never been that detrimental to my life, but I would be lying if I told you I didn’t notice it. For me, anxiety manifests as the inability to recognize negative thoughts quickly. When I fail to recognize them, they cycle and loop and I convince myself of things that aren’t true (that person doesn’t like me any more, I don’t deserve anything I have, I’m a massive failure with a too big nose and receding hairline, etc…). Over the years, I have done many things and learned many techniques to benefit my mental health, but one strategy has always been the most helpful: Talking to someone. Anyone. About anything. Anxiety is like a little voice in my head. When I talk to someone, it gets a lot harder to hear it. And it really doesn’t matter what we talk about, either. About their day, about mine. About my problems, or about theirs. My friends just make me feel better. Over the last five years, the missions of most major social platforms have shifted. They have chosen to prioritize entertainment and average-user-screen-time over closeness and relationships with friends. Such social media aren’t bad or wrong. I still use social media every day. They just don’t do a very good job of keeping me close to my friends. That's why I built WuzzUp?. To fill the void, and help me keep in touch with my friends and reduce my anxiety. I'd love to hear what you think!

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Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
56%56% 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: way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
46%46% 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
36%36% 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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