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Wrote a book to help you learn the design part of web design

Hacker News

Wrote a book to help you learn the design part of web design

Hey everyone, My name is Rumen and I'm a coder turned web designer. Last year, while I was hanging out in http://reddit.com/r/web_design, I spotted a repeat problem: > My website designs don't look professional. I totally get that. You get stuck after you learn HTML&CSS. You keep looking at your designs and you know that they are sub-par but don't know what to do about it. I felt the same way years ago before I got my design knowledge. At the same time, there is this mountain of information about design that you need to learn. And you keep reading, but it still seems like you're missing something. Perhaps it's about talent? Of course not. Anyone can become a web designer. _Design can be learned_. And you can learn all that you need to know to make your website designs look "professional". Actually, there is just one thing that you need to keep in mind: That everything in your design has to be in harmony . Because beauty relies on harmony. So, I knew that if I had to write a book to help solve the "my website designs don't look professional" problem, I had to talk about harmony. But because this is my first attempt at writing a book, I thought that I should do the MVP of a book first. :) That's how "Harmonious Web Design" v1.0 was born. It covers harmonious typography because that's the first thing that I believe any web designer should master. After all, the most used medium on the web is _still_ text. You have to be able to make text look good and read well. [You can read more about what's inside "Harmonious Web Design" and what other people said about it here](http://gum.co/hwebdesign/). P.S.: Because this is v1.0, you can get the book + source code + all future updates at the price of a large pizza. With the next version, the price will go up.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
95%95% 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
56%56% 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: new, code · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
46%46% 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
43%43% 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
16%16% 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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