Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.
Scoreboar v8 released: a smaller, faster, more accurate X post prediction tool
Scoreboar v8 reduces memory from 597 MB to 128 MB and per-post processing from about 1 second to about 30 ms, while improving accuracy. It guesses which of two X posts performed better for its account size with 61.4% accuracy, beating Grok 4.7 at 55.3% and Jev at 52.5%. Free and runs in your browser.
scoreboar v8: 128 MB instead of 597, about 30 ms a post instead of a second. and more accurate. guessing which of two X posts did better for its account size: 61.4%. grok 4.7: 55.3%. jev: 52.5%. free, in your browser. https://github.com/Siim/scoreboar-twitter-x-virality…
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