My Shade
Indie HackersAI shade matching tool
I'm building this because I'm an online shopper myself and finding the perfect makeup shade online can be hard. I built this tool so users can simply scan their face and instantly get the foundation shade that matches.
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, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos14%14% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Zi
Zingg Fuzzy Matching48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zingg Fuzzy Matching
Hacker News4HN
HN Matching Pairs45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HN Matching Pairs
Hacker News1Geocodio57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geocoding + Data Matching
Indie Hackerscommitment-side-projectTa
TalentFit: AI-Powered Candidate Matching33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TalentFit: AI-Powered Candidate Matching
Hacker News1Ta
TalentHunch – An Aus and NZ job matching webapp44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TalentHunch – An Aus and NZ job matching webapp
Hacker News1Jo
Jobsuitors, algorithmic job matching54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jobsuitors, algorithmic job matching
Hacker News2Dr
Dropbox for translators with job matching49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dropbox for translators with job matching
Hacker News2It
Itinerary matching service (carpooling)45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Itinerary matching service (carpooling)
Hacker News3Gl
Globster.xyz – a tool to test and visualise glob pattern matching33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Globster.xyz – a tool to test and visualise glob pattern matching
Hacker News7A
A NLP Library for Matching Parse Trees60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A NLP Library for Matching Parse Trees
Hacker News46