An app for comprehensive psoriasis care

Hacker News

We are a team of three women - two developers and a dermatologist - who have built one of the first apps for psoriasis, called Aqt. The Aqt app allows to improve in psoriasis symptoms by mitigating lifestyle-related triggers. We have launched our first version to the AppStore last week :) Download the app from the AppStore or watch the demo on Youtube: https://youtu.be/TfvXEHKxf_4 . Note: the home page populates with data only after two weeks of use, so watch the demo to see full functionality.. :) More about our team at https://www.aqt.bio/about . We would be thrilled to get your feedback!

Visit product View on Hacker NewsOct 16, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

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

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% 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

16%16% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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