ByePhotos – An iOS App to Help you cleanup phone storage

Hacker News

I developed an app to help clean up phone storage. Its main feature is to find similar photos in the photo album and provide a convenient interface for you to filter them. It also has a video compression feature that can significantly reduce the size of videos. I know there are already many similar applications on the App Store, but there are always aspects of their design or interaction that I don't like, so I developed one myself. The process of thinking about app design and interaction made me feel that launching an app is quite interesting. The app went live a few weeks ago, and for the first three days after the launch, I adopted a limited free strategy. On the first day, over 5,000 people claimed a lifetime license for free, and then I continuously received feedback from people who wanted to suggest improvements for the app. This process made me feel more connected with others.

Visit product View on Hacker NewsDec 20, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

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.

TrustMRRFits verified-revenue profile · Strong signals: ios, video, way · Missing: mobile apps, personal, entrepreneurs

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

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

53%53% predicted probability of success on Product Hunt, 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, 000, io · Missing: https docs, excited, just released

37%37% 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

23%23% 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

Similar products

I made an iOS App to dumbify the smart phone37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an iOS App to dumbify the smart phone

Hacker News2

AnimalSoundFun – My first iOS app34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AnimalSoundFun – My first iOS app

Hacker News1

Trident for GitLab – iOS App29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trident for GitLab – iOS App

Hacker News12

DataTau iOS App34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DataTau iOS App

Hacker News6

SwipeVideo, my first iOS App34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SwipeVideo, my first iOS App

Hacker News15

Thinglist, my first iOS app34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thinglist, my first iOS app

Hacker News2

My iOS app to cure boredom34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My iOS app to cure boredom

Hacker News6

My first iOS app - PostParty34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first iOS app - PostParty

Hacker News1

Never-Bored - My first iOS App34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Never-Bored - My first iOS App

Hacker News15

Yourtaximeter iOS App34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yourtaximeter iOS App

Hacker News4

Browse all products Analyze your launch