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Bedtime Bulb – A low-blue light bulb for healthy sleep

Hacker News

Bedtime Bulb – A low-blue light bulb for healthy sleep

Hey HN, I'm Greg Yeutter, the founder of Bedtime Bulb ( https://bedtimebulb.com/ ). We make a low-blue light bulb for healthy sleep. For every bulb purchased, we give the gift of healthy light to one person in need ( https://bedtimebulb.com/mission/ ). I've been obsessed with the problem of blue light at night for almost a decade. Blue light at night has been shown to interfere with the circadian rhythm, which could result in poor quality sleep and reduced productivity. I've built several products in the space so far, but I believe Bedtime Bulb has the best product-market fit for consumers. Bedtime Bulb not only produces drastically less blue light than other light sources (especially most LEDs), but it is also the right light for the evening. Based on extensive research, other products that claim to do the something similar are too bright and don't give you the warm, comfortable light that calms you before bed. We are pre-launch but have 1,000 units shipping to the U.S. right now to make sure we got everything right. If you are interested in giving us feedback on one of these prototypes, I would love to have you join our beta program. For $5 (covers the cost of shipping to CONUS), you'll get: - One of the beta bulbs, yours to keep - A guarantee that you'll get the best discount on the final product Join the beta program: https://bedtimebulb.com/beta-program/ or sign up for our newsletter: https://bedtimebulb.com/newsletter-signup/ I'd also love to get your feedback on the current website and copy. Thank you! Greg Learn more: https://bedtimebulb.com/ Our mission: https://bedtimebulb.com/mission/ Beta Program: https://bedtimebulb.com/beta-program/

Visit product View on Hacker NewsAug 15, 2018

Actual performance

4points

2comments

Did not reach leaderboard

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86%86% 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.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on AppSumo, 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.

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

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% 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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