Vitals + wxdecipher
Private Telemetry Systems
Two local-first systems for sensitive records: Vitals for Apple Health and sleep analysis, wxdecipher for private WeChat analytics.
Raw health exports, messages, keys, decrypted databases, ECG files, and identifying dashboards are not published.
Proof surface
| Claim | Public proof | Private boundary | Status |
|---|---|---|---|
| Vitals architecture | Public page and redacted diagram show ingestion, normalization, audit, and dashboard layers. | Raw health exports, ECG files, and identifying dashboards are not published. | Architecture only |
| wxdecipher architecture | Public page describes local parse, export, and audit boundaries. | Messages, keys, decrypted databases, and private analytics stay off-site. | Architecture only |
Vitals architecture
- Public proof
- Public page and redacted diagram show ingestion, normalization, audit, and dashboard layers.
- Private boundary
- Raw health exports, ECG files, and identifying dashboards are not published.
- Status
- Architecture only
wxdecipher architecture
- Public proof
- Public page describes local parse, export, and audit boundaries.
- Private boundary
- Messages, keys, decrypted databases, and private analytics stay off-site.
- Status
- Architecture only
What I built
The work currently has two serious private-data projects behind it.
| Project | Input boundary | Public material |
|---|---|---|
| Vitals | Apple Health export, AutoSleep CSV, optional weather configuration. | Source-aware daily records, coverage manifests, findings, charts, report audit ledgers. |
| wxdecipher | Local macOS WeChat databases, read-only live directory, ignored private workspace. | Staged pipeline, decrypted read-copy boundary, normalized message/media layers, dashboard manifest. |
Health records and chat logs are very different, but they share the same engineering discipline: local ingestion, explicit source boundaries, normalized artifacts, audit ledgers, and dashboards that never become public data leaks.
Vitals architecture
Vitals turns wearable exports into reproducible daily records and audit artifacts. The dashboard is the last mile after the source model is stable.
The important design choice is that Vitals separates data products by confidence level. Daily records, manifests, inventory tables, weather rows, findings, and chart specifications are generated artifacts. Narrative claims are checked against those artifacts when possible, and left for manual review when the system cannot safely reconcile them.
wxdecipher architecture
wxdecipher is a local macOS workbench for WeChat analysis. The live WeChat directory is treated as read-only input. Sensitive outputs remain under ignored private paths. The public material is the control plane around a sensitive source.
| Layer | What it does | Boundary |
|---|---|---|
| Unlock | Guides environment checks, account discovery, key configuration, and decrypted read-copy creation. | Gated commands; no public keys, configs, or decrypted databases. |
| Normalize | Turns raw message rows into canonical text/media fields with local type, subtype, content kind, and emoji signals. | No private messages, talkers, avatars, or screenshots on the public site. |
| Voice/media | Indexes voice media and stores transcript schema separately before text analytics can trust it. | Transcripts default to audit-first, not automatic inclusion. |
| Dashboard | Builds a manifest of local artifacts by kind, family, conversation, track, size, modified time, and previewability. | Catalog structure only; no live contents. |
What this shows
Contact
Contact me for implementation details, a private architecture walkthrough, or a redacted demo of the pipeline design. The public site intentionally stops before the data layer.