Ny

Nyx – an AI sleep assistant to stop doomscrolling

Hacker News

Nyx – an AI sleep assistant to stop doomscrolling

I built Nyx because I was stuck in the late-night doomscroll loop — telling myself “just one more thing” at midnight and then being wide awake at 1:30am. The idea was to create something boring on purpose that helps me wind down without dragging me back into my phone. Nyx is a little AI sleep assistant that: • Guides simple routines (breathing, short bedtime stories, white/brown noise) • Has a calming voice mode so I can put the phone face-down and just talk to it • Learns what actually helps me fall asleep and adapts over time • Keeps the interface dark, minimal, and low-stimulation (big text, no feeds, no animations) It’s not a miracle cure, but it’s been helping me fall asleep faster and avoid the “one more scroll” trap. I’d love feedback from the HN community: • Would you use an AI companion like this at bedtime, or is it too much tech in the bedroom? • What routines or tools have you tried that actually improved your sleep?

Visit product View on Hacker NewsAug 26, 2025

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85%85% 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.

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

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

38%38% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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