Web Color "Wheel" Chart
Based off of a beautiful old web color "KiloChart" poster from 2002 which I purchased a long time ago. It was put out by the now defunct Visibone corporation. This little tool makes it easy to find the right color(s) for your page in rgb() output. The chart shows 42 different hues in triangle groups of 25 shades each.
Based off of a beautiful old web color "KiloChart" poster from 2002 which I purchased a long time ago. It was put out by the now defunct Visibone corporation.
This little tool makes it easy to find the right color(s) for your page in rgb() output.
The chart shows 42 different hues in triangle groups of 25 shades each.
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products

I Tracked Every AI Suggestion for a Week — Here's What I Actually Shipped
Last week I ran an experiment: I logged every AI-generated code suggestion I received and tracked which ones made it to production unchanged, which ones needed edits, and which ones I threw away entirely. The results surprised me. The Setup Duration: 5 working days Tools: Claude and GPT for code generation, Copilot for autocomplete Project: A medium-sized TypeScript backend (REST API, ~40 endpoints) Tracking: Simple markdown file, one entry per suggestion The Numbers Category Count Percentage Shipped unchanged 12 18% Shipped with edits 31 47% Thrown away 23 35% Total suggestions 66 100% Only 18% of AI suggestions shipped without changes. Almost half needed editing. And over a third were useless. What Got Shipped Unchanged The 12 suggestions that shipped as-is had something in common: they

Stop Managing Browser Sessions Yourself. Use Steel and Convex
Most browser automation setups work fine until they don't. You get Puppeteer running locally. It works. You ship it. Then a server restarts mid-session, a user's data gets lost, and you realize you have no idea which sessions belong to which users or what state they're in. This is not a Puppeteer problem. It's a missing infrastructure problem. Browser sessions are stateful. They have owners. They have lifetimes. They need to be tracked and cleaned up. None of that is built in anywhere. Steel and Convex fix this together. Here's how. The actual problem When you run Puppeteer yourself, the session state lives in memory on your server. If that server crashes, the sessions are gone and you have no record of what happened. There's no built-in concept of ownership either. Any session could belon

How to Choose the Best Crypto Exchange for Bot Trading in 2026
Your trading strategy can be flawless. Your risk management can be textbook. But if you deploy your bot on the wrong exchange, none of it matters. The exchange you choose determines your execution speed, trading costs, uptime reliability, and ultimately — your profitability. In 2026, the exchange landscape has matured significantly. API infrastructure has improved across the board, but meaningful differences still exist between platforms. Some exchanges throttle bot users aggressively. Others charge fees that silently devour your edge. A few have built their entire infrastructure with algorithmic traders in mind. This guide compares the five major exchanges for bot trading — Bybit, Binance, OKX, Kraken, and Coinbase — across the metrics that actually matter for automated systems: API quali

250 Clones in 4 Days: A Student's Journey Building an AI Security Tool
🚀 250 Clones in 4 Days: A Student's Journey Building an AI Security Tool By Nasarah Peter Dashe Cybersecurity Student @ UNIJOS | Founder of Permi The Numbers That Surprised Me On April 2nd, 2026, I did something terrifying. I typed pip install permi into my terminal, ran a few final tests, and hit publish on PyPI. A vulnerability scanner built by a student with no funding, no team, and no prior accomplishments was now available for anyone in the world to download. Four days later, GitHub told me something I didn't expect: 250 clones. 62 developers per day, on average, downloading Permi. Testing it. Breaking it. Some even giving feedback. This isn't a Silicon Valley startup with millions in backing. This is a cybersecurity student at the University of Jos, building in public, one commit at


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!