The Product Folks
Indie HackersBecome a better Product Manager
Changing the way professionals transition into Product Management
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto30%30% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% 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
Pr
Product Substitutes49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Product Substitutes
Hacker News3Te
Tensor product analogy – functional currying52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tensor product analogy – functional currying
Hacker News8Ev
Every Product OneLiner at Once49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Every Product OneLiner at Once
Hacker News3Wo
Woond – Product aimed to overwhelm Procrastination65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Woond – Product aimed to overwhelm Procrastination
Hacker News2Ma
MakerPeak – Give your product the spotlight it deserves49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MakerPeak – Give your product the spotlight it deserves
Hacker News2A
A Parody of our Product49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Parody of our Product
Hacker News4Ou
Our last product, favmonster49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our last product, favmonster
Hacker News1My
My First Micropublishing Product — ABCs of Strawberries49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My First Micropublishing Product — ABCs of Strawberries
Hacker News2Sp
Spectre - Our product from Angelhack Seattle43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Spectre - Our product from Angelhack Seattle
Hacker News1My
My first product All about CAPTCHA49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first product All about CAPTCHA
Hacker News1