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See where AI is headed. neosignal scores AI models, chips, cloud hosts, and tools, shows how well they fit together, and pings you the moment something big shifts.
neosignal
The AI world moves fast, and it is hard to know which model, chip, or cloud to trust. neosignal keeps watch for you. It tracks the leading AI models, the chips that run them, the cloud hosts that rent them, and the tools that tie them together, then gives each one a clear score so you can compare them at a glance.
Each kind of thing gets its own scorecard, built from public data that experts already trust, like head-to-head model contests and hardware benchmarks. A scorecard, or rubric, just means the score is split into parts (say, smarts, math, and code for a model) and each part is weighed. So you see not only the number, but why it earned that number.
Picking good parts is only half the job. They also have to work well together. The fit matrix is a grid that shows, for any two pieces, how well they pair up, from 0 to 100%. It tells you which model runs best on which chip, and where things are likely to break.
You should not have to check every day. neosignal sends a signal the moment something real changes: a new model takes the lead, a price drops, a benchmark updates, or a tool is on its way out. Each signal comes with how sure it is and where the news came from.
Back this work with a monthly tier. Your support moves your requests up the list, and Gold or Platinum earns a badge on the roadmap item you back.
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A book on running a business with AI agents (software helpers that do the work for you). Fourteen short chapters in four parts take you from the first idea to a working system. About a two hour read, open to all.

On day one with my desktop AI machine I did not pick a model. I set up how I reach it. Models change every six months. Good access lasts for years.

I ran my first model on a small computer on my desk. 52 milliseconds to the first word, no cloud, no per-use bill. It felt like a local function, not a service.