Tr
TrueSeller – Who Is Selling on Amazon
Hacker NewsTrueSeller – Who Is Selling on Amazon
Share cardActual performance
5points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto83%83% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released45%45% 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, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting40%40% 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, intuitive26%26% 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, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Selling Lemons55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My mom grew TOO many lemons
Indie Hackers
ZILLA
Amazon for ICOs
BetaListHi
Hive on MR3 on Amazon EKS with Autoscaling47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hive on MR3 on Amazon EKS with Autoscaling
Hacker News1I
I bought and tested the filtration of every mask on Amazon51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I bought and tested the filtration of every mask on Amazon
Hacker News594Wi
WishBin – Superpowered wishlists for Amazon47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WishBin – Superpowered wishlists for Amazon
Hacker News2Wi
WishBin – Superpowered Wishlists for Amazon47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WishBin – Superpowered Wishlists for Amazon
Hacker News8Bakeazon63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The amazon of baking supplies!
Indie Hackerscommitment-side-project
Knockoff54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Amazon, without the knockoffs
Product Hunt+222Browser ExtensionsI
I am selling my side project Secondfounder44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I am selling my side project Secondfounder
Hacker News1
Amazon SES 50K30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Accounts Amazon SES
Indie Hackers