"Tool X scores your draft with X's real algorithm"
Verdict: IMPOSSIBLE with what's public — anyone claiming it is guessing
Two hard blockers, from the code: (1) every 2026 weight lives in an unpublished params service; (2) the released mini-Phoenix checkpoint consumes learned ID-hash embeddings — a brand-new draft has no trained embedding, so 'running the model' on your draft produces noise. We went further and measured the ceiling (see the Lab page): even on posts the checkpoint WAS trained on, its predictions rank an author's own posts against their actual results at a median correlation of 0.00 — a coin flip — because what it actually encodes is per-viewer personalization (a 6.7x swing from three history items), not post quality. What CAN be computed honestly: the exact score structure, the hard gates and filters, and clearly-labeled 2023 weights. That is what this site does, and the measured ceiling of what any tool can do.
The code
home-mixer/scorers/ranking_scorer.rs (crate::params withheld); phoenix/recsys_model.py (ID-hash inputs); phoenix/artifacts (frozen mini checkpoint).