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Screenless Companion

Hacker News

Screenless Companion

I know it sounds silly, that's why I really want to find out do people also have such problem and how many. problem: Before bed, I want to unload my thoughts, bounce back ideas, and talk to AI without screens. Right now I dim my laptop and balance it half-closed so it doesn’t fall. Phones require screens and don’t hear whispers. Headsets are uncomfortable. There’s no calm, screen-free AI experience for nighttime thinking. solution: screenless cube companion with whispers microphone that you can place beside your pillow/desk, sync with your smartphone, and good speaker. Price at maybe 100$ USD. Are you willing to pay?

Visit product View on Hacker NewsOct 31, 2025

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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

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

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

42%42% 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

24%24% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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