TeslaQuake · The System

RESEARCH INFRASTRUCTURE

An independent research platform built from scratch: five private machines, a 563 GB geophysical archive with records reaching back to 1700, and a full development record of how it was made.

Privately owned · locally hosted · no cloud dependency
5
Machines
84 GB
Total VRAM
563 GB
Data archived
17
Local AI models
$0
Monthly cloud cost
Development Record

How This System Was Built

TeslaQuake was built by one person, self-funded, in evenings and early mornings — working alongside AI as a development partner. This is the honest sequence, including the result that forced the program to change direction.

Primary source

Read Tesla before building anything

The starting point was the primary document, not the folklore: Tesla's Colorado Springs Notes 1899–1900 — roughly 716,000 characters — read end to end and reduced to a dated ledger of every passage where Tesla described stationary waves, nodal points and Earth currents, alongside the 1978 editorial commentary.

716,000 charactersDated ledger
Hardware

Build a private studio instead of renting one

Five machines were assembled and networked into a private research studio: an always-on collector, a data-processing node, two GPU workstations and a development box. Every model runs locally. Nothing about the research depends on an outside API remaining available, affordable or unmonitored.

5 nodes84 GB VRAM$0/month
Method

Develop it in partnership with Claude

Every collector, parser, dashboard and statistical routine in this platform was designed and written in working sessions with Claude (Anthropic) — used as an engineering partner rather than an autocomplete: architecture reviewed before code was written, code read back and challenged, statistics checked against a second method, and every build signed off against a written nine-step verification procedure requiring a clean console and reproducible output.

Local open-weight models on the private machines carry the offline work — transcription, document reading and routine parsing — so the archive can be processed without sending research data anywhere.

AI-assisted engineeringNine-step verification
Acquisition

Pull the deep historical record

Rather than start a fresh dataset, the project went after everything the world's institutions had already published and made it queryable in one place: 563 GB across 107,919 files in 13 categories, with continuous series reaching back through the twentieth century and, in the case of sunspot number, to 1700.

Each category was pulled from its institutional source, normalised to common units and timestamps, and checked for coverage gaps — which are published on this page rather than hidden.

563 GB107,919 files1700 – present
Automation

Keep the feeds running unattended

Collectors run continuously on the always-on nodes, with a live feed-health view that reports the last successful pull for every source, so a silently dead feed shows up as a status line instead of a hole discovered months later.

Continuous collectionFeed health monitoring
Analysis

Run three anomaly detectors in parallel

Welford, CUSUM and EWMA run side by side on each data stream, so sudden spikes, sustained regime shifts and slow drift are each caught by a method suited to them. Detected anomalies are stored with their scores and remain queryable.

WelfordCUSUMEWMA
Self-audit

Test our own hypothesis — and publish the null result

The platform was originally built to test whether geomagnetic and solar data carried a detectable seismic signal. A formal statistical audit of that question — run against the archive rather than against selected cases — found no such signal.

That result is reported here as plainly as a positive one would have been. An instrument that only ever confirms its builder is not an instrument.

Null result reportedFull-archive test
Direction

Re-aim the program at what the data supports

Following the audit, TeslaQuake was redirected away from forecasting entirely. The program now does three things: keep a public observation log, maintain and open up the historical archive, and pursue Tesla's nodal and stationary-wave work as a documented question in the history and physics of science — with instrumentation and education, not prediction, as the output.

No forecastingOpen archiveHistory of science
Why this matters to a reviewer

The infrastructure, the archive and the tooling are already built and paid for. What a sponsor funds is not construction — it is independent review, instrumentation, and publication of an archive that currently exists on five machines in one building.

Compute

Private AI Studio

Five machines split into two systems: always-on collection and analysis, and design/development workstations. Network addresses, service endpoints and access configuration are deliberately not published.

NodeClassGPU / VRAMRole
CollectorLinux server8 GBAlways-on archive host, retrieval and orchestration
ProcessorLinux workstation16 GBContinuous feed collection, space-weather and magnetometer processing
GPU nodeWindows workstation24 GBVision models, rendering, heavy local inference
CommandWindows workstation24 GBDevelopment, dashboards, day-to-day operations
Dev boxLinux workstation12 GBCAD, 3D and code development
Total5 nodes84 GB17 local models · no cloud inference
Note on disclosure: hardware capability is published because it is relevant to reviewing the work. Addresses, ports, operating-system versions, service names and access methods are not, and are omitted on purpose.
Geophysical Archive

13 Monitoring Categories

563 GB across 107,919 files, drawn from institutional sources and normalised into one queryable archive. Coverage gaps are listed rather than smoothed over.

CategoryCodeSizeFilesCoverageGaps
IonosphericI215.5 GB22,9161950–2026No gaps in window
AtmosphericA140.8 GB5,1781934–2026No gaps in window
BioacousticB75.8 GB10,2892015–202537 gap years
Solar / GeomagneticW58.1 GB20,0851963–2026No gaps in window
Schumann ResonanceR35.3 GB36,0912000–202620 gap years (1980–1999)
TelluricT28.2 GB5,9412005–202631 gap years
SeismicS1.2 GB3,5471990–2026No gaps in window
Events / GDACSE1.1 GB4572010–202630 gap years
Ocean / TidalO400.5 MB1,1751909–202535 gap years
CelestialZ197.5 MB4611900–202640 gap years
GravityG118.1 MB21In collectionEmerging category
Animal BehaviourAN7.6 GB1,716In collectionEmerging category
VolcanicV6.0 MB42202646 gap years
Total13563 GB107,9191700–2026Published as-is
Three centuries of record

The archive's reach is its most unusual asset. Sunspot number runs from 1700, the official planetary K index from 1932, atmospheric series from 1934, tide-gauge records from 1909, ionospheric data from 1950 and the disturbance-storm index from 1957 — alongside 358,000 historical earthquakes at M4.0+ over 25 years. Very little of it had previously been assembled in one place, in one time base, by one project.

Signal Processing

Parallel Anomaly Detection

Three complementary statistical methods run at once on each stream. Each catches a different shape of departure from baseline; none of them is used to forecast anything.

Method 01

Welford

Online streaming computation of mean and variance per metric, weekday and month. Flags statistical spikes at z-score thresholds of 1.5, 2.0, 3.0 and 4.0, with a minimum of 10 samples before it will report anything.

Method 02

CUSUM

Two-sided cumulative sum for regime-shift detection. Identifies sustained directional drift that never produces a single dramatic spike and would therefore slip past a threshold detector entirely.

Method 03

EWMA

Exponentially weighted moving average at α = 0.2, balancing reactivity against stability. Flags when a smoothed trend breaches control limits, and supplies trend context for the other two.

Scope: these detectors describe the behaviour of individual data streams against their own history. They are not combined into any predictive index, and no output of this system forecasts seismic activity.
Data Management

Archive Architecture

A managed relational archive handles ingestion, historical storage and detector state, currently being migrated onto the private machines so the full record is locally held.

Scale

What's stored

  • 358,000 historical earthquakes, M4.0+ across 25 years
  • 943,000 magnetometer station records
  • 359,000 Schumann resonance readings
  • 76,000 daily sunspot numbers, 1818 to present
  • 23,000 polar-motion records
  • 6,804 detected anomalies with scores retained
Handling

How it's handled

  • Real-time ingestion from public institutional feeds
  • Common time base and units across all categories
  • Live feed-health reporting on every source
  • Detector state retained so runs are reproducible
  • Migration in progress to fully local storage
  • Access configuration not published
Provenance

Institutional Data Sources

Every figure in this archive traces to an established governmental, academic or research institution. Nothing is generated, estimated or synthesised.

Seismic & hazard

Ground record

  • USGS — Earthquake Hazards Program
  • GDACS — Global disaster alert system
  • IERS — Earth orientation parameters
Solar & space weather

Above the ground

  • NOAA SWPC — Space Weather Prediction Center
  • NASA OMNI — Merged solar wind data
  • NASA SDO — Solar Dynamics Observatory
  • NASA DONKI — Space weather event catalogue
  • NASA CDDIS — IONEX ionospheric data
  • SILSO / ROB — Sunspot number, 1700 to present
Geomagnetic

Field measurement

  • GFZ Potsdam — Official Kp index, 1932 to present
  • Kyoto WDC — Dst index, 1957 to present
  • INTERMAGNET — Global magnetometer network
  • SuperMAG — 943,000+ station records
Resonance & VLF

Earth's frequencies

  • HeartMath GCI — Schumann resonance network
  • Tomsk SOS-70 — Schumann observatory
  • Cumiana VLF — VLF monitoring station
What Funding Enables

Research Objectives

The infrastructure is built and the archive is collected. These are the steps that require institutional support, independent oversight and peer collaboration.

Priority

Independent review

Submit the archive, the detection methodology and the null-result audit to independent seismological and space-weather researchers for formal review and publication in a refereed journal.

Priority

Open the archive

Publish the 563 GB archive with documentation, provenance and gap reporting so other researchers can query three centuries of normalised geophysical data without rebuilding the collection layer.

Instrumentation

Fill the measurement gaps

Deploy dedicated Schumann resonance and telluric monitoring to address the 20-year Schumann gap (1980–1999) and the 31-year telluric gap, including a self-operated ELF installation.

Scholarship

The Tesla nodal question

Complete a history-and-physics paper documenting Tesla's stationary-wave and nodal work from the primary Colorado Springs record, and assess it against modern measurement — as a scholarly question, not a forecasting claim.

Standing position

TeslaQuake does not predict earthquakes, does not publish forecasts, and makes no claim that electromagnetic activity causes or precedes seismic activity. The program maintains a public observation log, an open historical archive, and a documented research question in the history of science.

Explore the Research

Review the observation log, the Tesla primary-source record, or discuss partnership.

IN HONOR OF NIKOLA TESLA · 1856–1943