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NightClear – AI anxiety clearing for bedtime

Hacker News

NightClear – AI anxiety clearing for bedtime

Hi HN, I built NightClear because during the day I'm productive. At night, my brain becomes a worst-case-scenario simulator. Based on CBT's "structured worry time" — instead of suppressing anxious thoughts, you give them a container: 1. Type what's on your mind (free-form, private) 2. LLM analyzes: core issue, controllable vs not 3. Generates one micro-action for tomorrow 4. Breathing exercise SwiftUI, SwiftData (local), LLM API. Dark mode only. No account needed. No social/gamification. Free: 3/week. Pro: $4.99/mo or $29.99/yr (7-day trial). iOS only. Would love feedback on the AI analysis quality.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
66%66% 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.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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.

Correct prediction on native model

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