Sprint UI
AppSumoKick-start your design process with a customisable Design System ready to go for any new projects
Share cardActual performance
Did not reach leaderboard
Traction signals
Purchases47
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Next Mockup34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A new approach to overall design projects
Indie HackersNext Mockup34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A new approach to overall design projects
Indie HackersPhoenix Design System (beta)62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Speeding up your design process
Indie Hackers1design
DevTom AI25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DevTom has developed a revolutionary approach to the product design process.
AppSumo5
Design Wizard52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Wonderful Wizard of Design is clicking its heels
AppSumo64Bo
Bootstrap for the design challenged58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bootstrap for the design challenged
Hacker News2I
I Will Design You45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Will Design You
Hacker News2My
My Newest Design: ZigZagLab47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Newest Design: ZigZagLab
Hacker News28De
Design Is For Everyone45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Design Is For Everyone
Hacker News2Fe
Fetchnotes re-design with Stylebot45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fetchnotes re-design with Stylebot
Hacker News2