Continuously calibrated against X's open-source recommendation algorithm and our proprietary diagnostic systems. We surface what's actually moving distribution — right now, not last quarter.
xDoctor is a paired reputation-management product organized along the temporal axis of your relationship to your content.
Paste a draft. Get the predicted reach band, the negative-signal probability, the specific words and structural features that are dragging the score, and targeted edits. Each iteration becomes training data.
Every historical post the model flags as potentially harmful, surfaced for paced manual review. Visit on X, decide keep or delete, train the model with every decision.
Curated cleanup for: Reposts of harmful accounts. Posts that aged poorly. Replies to mass-reported conversations that brands might deem unsafe.
X open-sources its recommendation algorithm and ships updates roughly monthly. Most reach-optimization tools cite years-old thinking. We track every release the day it lands — see the widget in the top-right corner — and combine that public signal with proprietary diagnostic systems built specifically for X's classifier surfaces. The result is a model that's actually current.
xDoctor is currently in open Alpha testing. If we scale too quickly, we may have to close it to additional users for a time. Sign in below to be a part of it — read-only access, deletions through the X API only with your explicit approval, and we never post on your behalf.
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