Qu
Quiply 2.0 – Next generation company review app
Hacker NewsQuiply 2.0 – Next generation company review app
Share cardActual performance
7points
7comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos62%62% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto57%57% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fi
First Review of MakerBot Replicator 5th Generation38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
First Review of MakerBot Replicator 5th Generation
Hacker News3Ap
App in Review49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
App in Review
Hacker News17RP
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 News3Re
Review my startup: AtticTV, MusicTV (MTV) for the Youtube Generation54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review my startup: AtticTV, MusicTV (MTV) for the Youtube Generation
Hacker News34Fu
FuseOrder – Hack your company dining46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FuseOrder – Hack your company dining
Hacker News1Co
Company-wide Dotfiles50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Company-wide Dotfiles
Hacker News1Th
The Screencast Company44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Screencast Company
Hacker News2