10d after the breakout, github_stars is 8700 vs 5628 at breakout — still above baseline
发生了什么变化
下面每一条都是**已经发生**的变化,并附上触发它的数字。Kanon 做的是检测,不是预言。
14d after the breakout, github_stars is 12062 vs 10879 at breakout — still above baseline
14d after the breakout, producthunt_votes is 516 vs 367 at breakout — still above baseline
15d after the breakout, hn_points is 146 vs 64 at breakout — still above baseline
17d after the breakout, github_stars is 3688 vs 879 at breakout — still above baseline
15d after the breakout, github_stars is 14745 vs 14398 at breakout — still above baseline
17d after the breakout, producthunt_votes is 201 vs 0 at breakout — still above baseline
检测器
signal-v1。公开阈值:加速 = 本窗增量 ≥ 前窗的 1.5 倍(且至少 +5);降温 = 动量掉到前窗的 40% 以下;重启 = 静止 7 天后重新变动;异常 = 相对它自己的历史 |z| ≥ 3。上面每一个数都可以拿这些常数复算。机器口:/api/v2/changes。