Sn
Snack Review, Share your favorite snacks
Hacker NewsSnack Review, Share your favorite snacks
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos57%57% 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto44%44% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released37%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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal27%27% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ze
Zeneca – Share and discuss your favorite books49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zeneca – Share and discuss your favorite books
Hacker News70RP
RPi PiZeroW first impressions and review34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RPi PiZeroW first impressions and review
Hacker News2My
My decade in review (2011-2021)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My decade in review (2011-2021)
Hacker News1Re
Review my webapp please37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review my webapp please
Hacker News1Re
Review: Autodesk 123 Sculpt+34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review: Autodesk 123 Sculpt+
Hacker News3Ze
Zeneca – Share and discuss your favorite books with the world51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zeneca – Share and discuss your favorite books with the world
Hacker News18Ripplr53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Where people share their favorite links
Indie Hackers2botsRinkurisuto34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A place where you can share your favorite links.
Indie Hackers1advertisingHo
How bloated is your favorite app?38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How bloated is your favorite app?
Hacker News39AppLounge56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
You can select your favorite app from here
Indie Hackers1$10/moapis