惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

月光博客
月光博客
Cyberwarzone
Cyberwarzone
L
LINUX DO - 最新话题
N
News and Events Feed by Topic
T
Troy Hunt's Blog
Help Net Security
Help Net Security
S
Security @ Cisco Blogs
Google DeepMind News
Google DeepMind News
Security Archives - TechRepublic
Security Archives - TechRepublic
M
MIT News - Artificial intelligence
G
Google Developers Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
V2EX - 技术
V2EX - 技术
Y
Y Combinator Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
大猫的无限游戏
大猫的无限游戏
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Microsoft Security Blog
Microsoft Security Blog
Cisco Talos Blog
Cisco Talos Blog
T
Threatpost
Recent Commits to openclaw:main
Recent Commits to openclaw:main
S
SegmentFault 最新的问题
I
InfoQ
H
Hacker News: Front Page
D
Docker
Scott Helme
Scott Helme
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Blog — PlanetScale
Blog — PlanetScale
人人都是产品经理
人人都是产品经理
博客园 - 叶小钗
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
N
Netflix TechBlog - Medium
AWS News Blog
AWS News Blog
Know Your Adversary
Know Your Adversary
博客园 - 【当耐特】
T
Tor Project blog
U
Unit 42
H
Heimdal Security Blog
Microsoft Azure Blog
Microsoft Azure Blog
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
P
Privacy & Cybersecurity Law Blog
PCI Perspectives
PCI Perspectives
美团技术团队
O
OpenAI News
T
Tailwind CSS Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
B
Blog
GbyAI
GbyAI
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
MyScale Blog
MyScale Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
5 Type Scales I Use in 2026 (And the One I Quietly Dropped)
RAXXO Studio · 2026-05-06 · via DEV Community
  • Major-third 1.250 stays my default for product UI because it scales without drama

  • Perfect-fourth 1.333 carries marketing pages where the headline must do real work

  • Augmented-fourth 1.414 fits dashboards where six type levels need clear hierarchy

  • Golden ratio 1.618 reads beautiful in editorial but breaks below 14px body

Type scale is the quietest decision in a design system and the loudest one at scale. Pick wrong and every component fights you for the next two years. I have shipped four products this year on four different scales, and the pattern is clearer than I expected.

Type Scale 1: Major Third (1.250) for Product UI

The major third is my default for anything a user touches daily. Body sits at 16px. Caption drops to 12.8px (rounded to 13). H3 lifts to 20px, h2 to 25px, h1 to 31px. That is the entire ladder for most product surfaces, and it works because the steps are small enough that you never feel a jolt between heading levels.

I use 1.250 for the RAXXO shop, the dashboard inside the Statusline Builder, and every settings page I touch in remind.me. It survives dense forms. It survives long lists. It survives a sidebar with eight nav items and a footer with twelve. Nothing screams. Nothing whispers. The hierarchy reads as competent before it reads as designed, which is exactly what product UI should do.

The trick with 1.250 is that you cannot lean on size alone. A 25px h2 next to a 20px h3 is only 5px apart. You have to add weight contrast, color contrast, or letter-spacing to make the hierarchy land. I usually run h1 and h2 at 600, h3 at 500, body at 400, and caption at 400 with a slightly muted color (around 70 percent of #F5F5F7 on dark surfaces). That layered contrast does more work than any size jump ever could.

Where 1.250 falls apart is on hero sections. A 31px h1 looks fine in a settings header but lost on a landing page. For those moments I either jump to a hero-specific size (60 to 80px, picked manually) or I switch to a different scale entirely. The major third is a working scale, not a marketing scale, and pretending otherwise is how dashboards end up shouting.

Type Scale 2: Perfect Fourth (1.333) for Marketing

Perfect fourth is louder. Body 16px, h3 21px, h2 28px, h1 38px, hero 50px. Each step jumps about a third bigger than the last, and that is exactly what a landing page needs. The hero feels like a hero. The section heading feels like a section. The body feels like reading rather than scanning.

I run 1.333 on the raxxo.shop product pages, on every blog hub, and on the marketing surfaces inside Center This Div. It rewards short headlines (six to nine words) because the size carries the rhythm. Long headlines on 1.333 start to feel shouty. If I have a forty word hero, I drop back to 1.250 and let weight do the work.

The ratio also forces a conversation about line-height. At 38px h1 with default 1.2 line-height, a two-line headline takes 91px of vertical space. That is a lot. I tighten to 1.05 or 1.1 for hero text and let body breathe at 1.6. That asymmetry is the secret of a clean marketing page. Tight up top, loose down low.

One quiet benefit: 1.333 maps well to common breakpoints. At mobile I scale the whole ladder by 0.875 and the proportions stay intact. Body 14, h3 18.4, h2 24.5, h1 33.3, hero 43.8. I round to whole pixels and ship. No custom mobile scale, no separate type tokens, just one multiplier and the system handles itself.

The downside is that 1.333 needs space. Tight grids and dense components feel cramped because the headings demand room. If I am building a card grid with eight cards above the fold, I drop to 1.250 inside the cards and keep 1.333 only for the page-level scale. Two scales in one page is fine if the boundary is clean.

Type Scale 3: Augmented Fourth (1.414) for Dashboards

Augmented fourth is the data-heavy scale. Body 14px, caption 10px, h4 19.8, h3 28, h2 39.6, h1 56. Six clear levels with enough separation that even a tired eye at 11pm can read the hierarchy without thinking.

I built the ember finance dashboard on 1.414 because it has to handle six tiers of information density. Account balance at h1. Section header at h2. Card title at h3. Field label at h4. Value at body. Helper text at caption. Each level sits visibly apart from the next, so a glance is enough to map the layout. That separation matters when the user is scanning twelve cards for the one number they need.

The risk with 1.414 is the small end. A 10px caption is too small for sustained reading, so I only use it for metadata (timestamps, IDs, version numbers, secondary labels). Anything that needs to be read for content stays at 14px or above. If your dashboard uses captions for tooltips or empty-state copy, bump them to 12px and accept the tighter ratio at that end of the scale.

The big end of 1.414 is where it earns its keep. A 56px h1 on a financial overview page makes the primary number unmistakable. The eye lands there first, then drops to the supporting structure below. That single hierarchical anchor is what separates a useful dashboard from a wall of numbers.

I do not use 1.414 for marketing because it overshoots. A 56px hero is fine on a dashboard but feels aggressive on a homepage where the goal is invitation, not information. Match the scale to the intent. Dashboards inform. Marketing invites. The ratios should reflect that.

Type Scale 4: Golden Ratio (1.618) for Editorial

Golden ratio is for reading. Body 18px (yes, 18, not 16). H4 29, h3 47, h2 76, h1 122. The numbers look extreme on paper, and they are. That is the point. Editorial wants drama because the reader has chosen to be there.

I use 1.618 on the lab section of raxxo.shop and on long-form essay pages. The 18px body is a reading-first choice. At normal viewing distance (50 to 70cm on a laptop) 18px feels like a printed page. The eye relaxes. Comprehension goes up. I have no scientific data to prove this, but every essay I have read on a 16px scale and re-read on 18px landed harder the second time.

The huge headlines work because editorial pages use a lot of white space. A 122px h1 needs 200px of breathing room on every side. If your layout is tight, golden ratio will fight you. I keep editorial pages to single-column, max-width around 680px, and let the headlines spill outside the column on desktop. That breathing room is what makes 1.618 feel composed instead of chaotic.

Where it breaks: anything below 14px. The ratio compresses too aggressively at the small end (an 11px caption on golden ratio is unusable). I cap the small end at body and use a separate utility scale for metadata. Golden ratio for reading, fixed pixels for everything else. That hybrid is what makes the scale survive contact with a real product.

Bottom Line

The scale I quietly dropped this year is the minor second (1.067). It looked elegant in Figma and fell apart in production. The steps are so small that hierarchy depends entirely on weight and color, and once you start a layout with three weights and four colors, you have a maintenance problem before you ship. Minor second works for one page in one product, the kind of single-purpose splash where every pixel is composed by hand. Try to scale it across a real system, across components and breakpoints and dark mode and three product surfaces, and it collapses into noise within a quarter.

If you are picking a scale today, start with 1.250 for product, 1.333 for marketing, and add 1.414 or 1.618 only where the surface earns it. One scale per surface. Two if you must. Never three.

I built the type system inside the Statusline Builder around exactly this logic, and it is one of the calmer decisions in the whole product. If you want a starting point that already enforces a working scale, that is the easiest place to begin. Otherwise grab a free type calculator, pick your ratio, and ship the next page on it. The only wrong answer is no answer. Visit raxxo.shop for the rest.