First site I've built, Personalized Makeup site for Beginners

Hacker News

Hi HN, This is the first site I've built. I know it probably won't be interesting to most of you but I think it's pretty helpful to people interested in makeup: http://www.savvyist.com I hope to make it easier for anyone who wants to get started with makeup, as it can be a really useful tool, and I know firsthand how overwhelming it can be. I learned Ruby on Rails to create it using the amazing book/tutorial by Michael Hartl and some good codecademy courses. I was formerly a User Experience Designer at Nokia & didn't know how to code before then. If you want to know more about how I got started, feel free to ask me, I can give you my email address. I would love to meet more female coders in particular! Hope you like it :)

Visit product View on Hacker NewsMay 5, 2015

Share card

Actual performance

6points

8comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, using · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

66%66% 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 · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

40%40% 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, revenue

14%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, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

3D site to show off what we've built53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

3D site to show off what we've built

Hacker News1

I built a lame site, now what?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a lame site, now what?

Hacker News1

I've put together a single-serving site57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I've put together a single-serving site

Hacker News1

Kloudsec, Our Bootstrapped Anycast CDN with LetsEncrypt for Your Site71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kloudsec, Our Bootstrapped Anycast CDN with LetsEncrypt for Your Site

Hacker News64

Site that compares all EVs in the US53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Site that compares all EVs in the US

Hacker News2

My Colleague’s Neocities Site53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Colleague’s Neocities Site

Hacker News3

Omnifollow, a Site for Following Anything63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Omnifollow, a Site for Following Anything

Hacker News1

ngProgress - slim, site-wide progressbar for AngularJS, without jQuery47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ngProgress - slim, site-wide progressbar for AngularJS, without jQuery

Hacker News142

Halloween Site for my Daughter53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Halloween Site for my Daughter

Hacker News2

Q&A site for Neuroscience and Neuroinformatics53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Q&A site for Neuroscience and Neuroinformatics

Hacker News2

Browse all products Analyze your launch