Art Diario – Curated art on your desktop every day

Hacker News

Hey HN! I made a little app that changes your desktop background to a new piece of curated art every day. Everyone sees the same art so you can talk to your friends about it! I learned to code a couple years ago from a bootcamp to fulfill a lifelong desire to be able to create end-to-end applications. I've been a designer, I've been a PM, but I really wanted to be able to build the things in my head. This is my first attempt to build something entirely from scratch! This seemed so simple at first. All it does is change your background! But I wanted a fancy little admin panel that allowed me and my wife to upload new art. I wanted to be able to make the crop that ends up on your desktop really straightforward. I wanted it to be cheap to host, so hella caching. Also, omg, timezones! Marketing images and websites! There were so many pieces to this, it is honestly astonishing how much work indie makers put into their solopreneur apps. All mine does is change your background. The people who produce more complicated stuff are really impressive. I'm excited and nervous to share this with you all! Thank you for taking a look!

Visit product View on Hacker NewsMay 5, 2022

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Launch Intel predictions

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

93%93% 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: wife · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

69%69% 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: apps · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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

19%19% 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.

Correct prediction on native model

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