Chart Tests - Interactive Visualization Examples
A comprehensive test page demonstrating all available chart types including line charts, bar charts (vertical, horizontal, and stacked), pie charts, and scatter plots.
I'm Will Hackett, CTO at Flowstate. I'm a technology leader who's led engineering teams across startups and larger organisations. Previously I co-founded Pragmatic an AI company, built product at Pactio and led engineering teams at Blinq and Linktree. I'm passionate about distributed systems, product engineering and helping teams ship great software.
A comprehensive test page demonstrating all available chart types including line charts, bar charts (vertical, horizontal, and stacked), pie charts, and scatter plots.
In 2025, several European governments began phasing out Microsoft 365 due to concerns over the US CLOUD Act. Switzerland is the latest to act, declaring most public sector use of Microsoft 365 unlawful.
It's IEEE Spectrum time again, so it's time to talk about why adding management layers early is the real problem behind $2 trillion in annual software failures. From Canada's Phoenix payroll system to the UK Post Office's Horizon fiasco.
So you're spending 20 million on engineering. What are you getting for it? Software engineering organisations struggle to answer basic questions about costs, and PE scrutiny is changing the game. It's more important now than ever to treat engineering like the investment it is.
89% of malicious emails bypass SPF, DKIM and DMARC. Your inbox is already compromised—authentication protocols failed and nobody told you. Here's how AI catches what traditional filters miss.
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Analytics is curiosity about what works. Tracking is surveillance. I run Umami on Vercel with Neon Postgres for zero-cost, banner-free analytics. The irony? My joke LLM needs consent, but tracking 16,000 visitors doesn't.
The tech industry's rush to embed AI into every product is creating exhausted users and half-baked features. Real AI success comes from solving specific problems, not sprinkling chatbots everywhere.
AI is cheap for end-users right now, but only because venture capital is picking up the tab. The reality is that training and inference are still expensive, and someone has to pay. Billions raised by OpenAI, Anthropic, Mistral and others are spent on compute, staff and Nvidia GPUs. Consumers see subsidised pricing, but the underlying costs are enormous.
My take on the next version of the web given the failures of Web 3.0 and the need for a more organised, user-centric approach.