Alpenglow

Alpenglow

Indie Hackers

App to help you not miss out on a great Sunrise/Sunset.

Always been a fan of sunrises and sunsets. I would get disappointed when I looked outside to see a stunning array of color in the sky, only wishing I had known to get into a better position to take a photo or two.

Share card

Actual performance

5followers
$900MRR/mo
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · 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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
35%35% 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
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

an
an app I built to help you find great beer55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

an app I built to help you find great beer

Hacker News43
Hoist
Hoist

Tools to help you create great apps.

BetaList
Qw
Qwokka – see what's great on Netflix67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Qwokka – see what's great on Netflix

Hacker News20
Keto Engaged
Keto Engaged17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keto Engaged With the great acceptance and liking for Keto

Indie Hackers
Soapr
Soapr26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Where great soaps are made

Indie Hackers
I
I Miss the Outdoors56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Miss the Outdoors

Hacker News4
Gi
GigsAlert - Never Miss an Urgent Gig Again53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GigsAlert - Never Miss an Urgent Gig Again

Hacker News3
Fo
Followshows – Never miss an episode again53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Followshows – Never miss an episode again

Hacker News36
Tr
Trailer gods and you never miss a trailer again53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trailer gods and you never miss a trailer again

Hacker News4
Ca
Callr – Never miss another call53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Callr – Never miss another call

Hacker News10