Writing
Essays on AI tooling, plus launch stories from the founders themselves.
Google DeepMind has open sourced its WeatherNext 2 and WeatherNext Cyclones models. According to the company, the models achieve leading accuracy in predicting cyclone tracks, intensity, and wind structure, giving meteorologists an extra day of predictive accuracy on average.
We counted the pricing model of all 701 tools we list. 84 are free outright, and 55% of those publish their source against 13% of the catalogue. Nothing sold outright is open source at all.
Not an opinion piece. We fetched every directory on the list founders are working from, looked each domain up in Tranco, and wrote down what came back. Eight no longer resolve at all.
Not a framework, not an agent. A small JSON-RPC service that describes what it can do, so a model can call it without anyone writing an integration.
The mechanics take twenty minutes per directory. Deciding which twenty minutes are worth spending is the part nobody writes about.
Most launch-day problems are things you could have fixed a week earlier. Here is the list we run before a listing goes anywhere.
The tagline does almost all the work. Here is how to write one, and what to do with the description and first comment once you have.
What the paid tiers sell is placement, speed, or the removal of a condition. Only one of those is usually worth paying for.
What Google's documentation literally says about link attributes, why the dofollow obsession is mostly misplaced, and what to optimise instead.
We checked every one of these in August 2026. Two were dead, one had quietly gone paid, and none of them will tell you their traffic. Here is what is actually there.
When the thing evaluating your product is an agent rather than a person, the page it reads matters more than the page you designed.