Wallpapers Studio
Indie HackersAn Automated Wallpapers Website, which runs by it self.
Curiosity and interest in art and ideas let me to create different content and wanted to go this route in order to establish a community for it. I also encourage ideas, where users can also publish on my website.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting67%67% 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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, users · Missing: mobile apps, personal, entrepreneurs33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%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, crypto12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Bi
Bing Wallpapers46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bing Wallpapers
Hacker News6Wa
Wallpapers AI19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wallpapers AI
Hacker News4Bi
Bing Wallpapers for Mac55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bing Wallpapers for Mac
Hacker News1Abstracto41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover abstract wallpapers
Indie Hackers1designGe
Geek Wallpapers.com44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geek Wallpapers.com
Hacker News8Th
The Most Beautiful Wallpapers65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Most Beautiful Wallpapers
Hacker News2Pa
Panoramic Wallpapers for iPhone39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Panoramic Wallpapers for iPhone
Hacker News1DuoWallpaper59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
iPhone Duo wallpapers for both displays
Indie HackersPa
Panoramic Wallpapers for iPad44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Panoramic Wallpapers for iPad
Hacker News1Wallpaper50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wallpapers
Indie Hackers3$10,000/moart