I

I made an all-in-one curated art reference and artwork sharing platform

Hacker News

I made an all-in-one curated art reference and artwork sharing platform

Hey HN! I been teaching myself how to draw for the past 5 years (heres some of my work https://x.com/jaks024 ). Throughout this art journey, art references was essential. You gotta see what you are drawing to learn how to draw it. But the more references I used, the more annoying the process became. I ended up barely using references at all, which made the quality of my work worse. In my art process, I would collect reference images from across the web (like Pinterest, Twitter, etc), but I would have no where to store it or manage it. Sure, I could store it in on my local disk, but then I'll need a app to manage and organize all the reference images. Then to use a reference board to organize the ideas for my artwork, I will need to use a different app for that. Then to share my references, I'll need to use another app for it. When I'm travelling and I want to draw, I'll need yet another app to access all my references. I hope you see where this is going. Since I have a technical background, I been building refern (REFErences, Right, Now) on and off during my spare time for almost a year now to solve this problem. refern is an all-in-one art reference and artwork sharing platform that let you save, create, find, organize, moodboard, and share curated art references and artworks. So now I can - Scroll on the web and save reference images while I scroll with just a click. - Organize all the images within the app through tags, collections, and folders. - Search all my images, collections, or reference board at once. - Save time labelling images since it all images are automatically labelled. - Find, save, and use other collections of references created by other users. - Reference board any of the reference images that I have in my library. - And most importantly, it is just a single app that I need to use. Since it's all online, I can access all my stuff from any device, and also share my stuff with friends with just a link. Ever since refern got to a working state (about 6 months ago), I been using it whenever I'm drawing. And recently, I've added a new streak and timeline feature to keep myself drawing consistently by uploading my work and maintaining a streak everyday. Using refern has improved my artwork a lot (could also be just extra practice), but it has saved so much time and hassle when dealing with references. Right now, I've finally got refern to a state that I'm pretty happy with. Of course there is still a lot of work to do, but I'm always open for feedback! Feel free to give it a try, or tell someone you know who might benefit from this! my refern profile: https://my.refern.app/jaks024 demo video: https://www.youtube.com/watch?v=QLFo4PhW-kE

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, 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
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, single · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, month, users · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
44%44% 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
11%11% 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

Go
Go-Mnemonic – Reference Implementation of a BIP-39 Go36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go-Mnemonic – Reference Implementation of a BIP-39 Go

Hacker News3
Greenman
Greenman39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Greenman is a British witchcraft reference app

Indie Hackers1ai
Original Artwork
Original Artwork21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Professional Art For You

Indie Hackers1$100/moart
Ar
Art gallery application for Simon Stålenhag's artwork35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Art gallery application for Simon Stålenhag's artwork

Hacker News2
Op
Open-Sourced Artwork59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-Sourced Artwork

Hacker News2
Ar
Artispooon – Art platform that brings curated artworks to your screen53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Artispooon – Art platform that brings curated artworks to your screen

Hacker News1
I'
I'm building a platform for the sharing art you love44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm building a platform for the sharing art you love

Hacker News1
Ar
Art Diario – Curated art on your desktop every day69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Art Diario – Curated art on your desktop every day

Hacker News18
DataTau
DataTau58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DataTau is the reference newsboard for Data Scientists

Indie Hackers2ai
Un
Unity3D unassigned reference warnings at compile time50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unity3D unassigned reference warnings at compile time

Hacker News2