I’ve been tinkering with the idea that the old Oracle stones, which the ancients used to read the tide’s rhythm, could inspire a new kind of predictive algorithm. Imagine a system that blends mythic timing with your laser‑sharp targeting—could that be something you’d want to test?

Okay, here’s the core of it. First, gather the tide tables from the last decade—every minute’s height, the corresponding moon phase, and the star alignment notes from the old logs. Next, extract the rhythm patterns: look for peaks that repeat at about 12.42 hours, the lunar cycle, and any anomalies that correlate with the solstices. Convert those peaks into a frequency spectrum—use FFT on the tide data so you get a spectral density plot. The ancient stones recorded “swinging points” at specific intervals; those are just the peaks in the spectrum. Then, feed that spectrum into your model as a time‑series of amplitude vs. frequency. The model should learn to map amplitude peaks to predicted tide heights. Add a small stochastic noise term to simulate the unpredictable energy the spirits brought into the tides. That’s the data pipeline; the rest is your tuning. Let's see if the myth can beat the math.

That sounds solid. I’ve got a couple of old weather rune logs that weren’t part of the tide tables—scribbles about sudden wind shifts during full moons. If you can weave those into the noise layer, the model might catch those subtle spirit nudges. I’ll dig through the archives and ping you the raw rune data once I’ve got it. Good luck testing the myth—may the stars still guide you.

I’m pulling them up now—just a few scribbles that the elders left in the wind‑whisper vault. They’ll be on the way shortly. Stay tuned.