Dr.Product
Indie HackersCurated library of valuable resources for product ppl
I was undergoing product management training and I was searching for some great resources to learn and improve my product skills. It was hard to find right resources in this massive digital ocean. So, I built DrProduct .
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% 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 NewsMay not resonate with HN audience · Strong signals: lua · Missing: https docs, excited, just released46%46% 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, macos43%43% 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, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Stackmaker
Curated tools and resources for your next no-code product
BetaListProduct Disrupt58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated list of resources to learn product design
Indie Hackers10$300/moadvertisingHomeskoolers31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated homeschoolers resources vetted by homeschoolers
Indie HackersProduct Byte56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated Product Research
Indie Hackers1$150/mocontentZero to PM23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A curated library of 150+ Product Management resources
Indie HackersTh
The Slice – Curated list of tools and resources to grow you product52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Slice – Curated list of tools and resources to grow you product
Hacker News5Pr
Product Sense – curated resources to develop your product intuition41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Product Sense – curated resources to develop your product intuition
Hacker News1Cu
Curated list of resources for Product Managers56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated list of resources for Product Managers
Hacker News11I
I made an AI resources library36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an AI resources library
Hacker News1Product Design Stack69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Daily curated list of resources for Product Designers
Indie Hackerscommitment-side-project