Re
Review aggregation Demo: iPhone 6s Plus
Hacker NewsReview aggregation Demo: iPhone 6s Plus
Share cardActual performance
5points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto75%75% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews67%67% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% 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 released30%30% 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, revenue22%22% 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, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Th
Thin iPhone 7 and 7 Plus Cases – totallee44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thin iPhone 7 and 7 Plus Cases – totallee
Hacker News2Ho
Homage to Pharmageddon, plus: make your own pharma led demo46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Homage to Pharmageddon, plus: make your own pharma led demo
Hacker News3RT
RTree demo41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RTree demo
Hacker News7We
WebGL viewshed demo60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL viewshed demo
Hacker News1Ca
CashEth – demo of the system41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CashEth – demo of the system
Hacker News4Gr
GrannyAuth Demo41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GrannyAuth Demo
Hacker News6De
Demo of word2vec on GoogleNews41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Demo of word2vec on GoogleNews
Hacker News3A
A WebGL demo of the Observer Effect51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A WebGL demo of the Observer Effect
Hacker News15Fo
Force12 – demo of container autoscaling40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Force12 – demo of container autoscaling
Hacker News17Po
Polymer 1.0 Demo (From CodePicnic)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Polymer 1.0 Demo (From CodePicnic)
Hacker News2