Folio Fx – Easy to implement effects for your portfolio site

Hacker News

http://foliofx.com Let me preface this by saying I am a still relatively new to coding. I attended a 3 month coding bootcamp and made this little site for my friends and I. This website is mainly targeted for people who are new to coding as well or just looking around. During bootcamp, one of the things they push is having a nice portfolio site. You want to be able to show what you got and display it in a nice fashion. After I graduated (in December) and took some time off, I went back to my poorly made portfolio and looked for ways to make it look nicer. I had a hard time finding simple to use effects to implement without getting lost in a bunch of text. So I decided to create my own site that showcases the effect so you know what you get from it. I showed it to my friends and they liked it, so I decided to show you guys as well! I know the site is probably coded poorly so... if you would like, you can make pull requests on the github and fix things up! https://github.com/iSyn/folio-fx I would love to hear some more feedback on what I can do to make this site better. Thank you!

Visit product View on Hacker NewsMar 8, 2017

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2points

Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, coding, code · Missing: mac, agents, macos

78%78% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

60%60% 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, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% 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

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