Healz.ai - AI and detective-doctors for tough cases (please burn it)

Hacker News

I spent 9 months in abdominal pains. 7 endoscopies. Turned out the problem wasn’t even in my gut. That mess is why I built Healz.ai - AI + real doctors-investigator who build complete picture and look for root causes. I’m not here to pitch. I just want to know if it’s real or crap and are there people like me sometime ago. Please burn me as much as possible. Just want to make no bullshit service. No marketing. No “AI doctor”, NO "text-to-porn generator" hype. Just trying to make something that could save people the months I lost.

Visit product View on Hacker NewsOct 30, 2025

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5points

6comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

65%65% 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · 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.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% 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

23%23% 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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