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.
Phase 01Primary 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
Phase 02Hardware
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
Phase 03Method
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
Phase 04Acquisition
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
Phase 05Automation
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
Phase 06Analysis
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
Phase 07Self-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
Phase 08Direction
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.
Node
Class
GPU / VRAM
Role
Collector
Linux server
8 GB
Always-on archive host, retrieval and orchestration
Processor
Linux workstation
16 GB
Continuous feed collection, space-weather and magnetometer processing
GPU node
Windows workstation
24 GB
Vision models, rendering, heavy local inference
Command
Windows workstation
24 GB
Development, dashboards, day-to-day operations
Dev box
Linux workstation
12 GB
CAD, 3D and code development
Total
5 nodes
84 GB
17 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.
Category
Code
Size
Files
Coverage
Gaps
Ionospheric
I
215.5 GB
22,916
1950–2026
No gaps in window
Atmospheric
A
140.8 GB
5,178
1934–2026
No gaps in window
Bioacoustic
B
75.8 GB
10,289
2015–2025
37 gap years
Solar / Geomagnetic
W
58.1 GB
20,085
1963–2026
No gaps in window
Schumann Resonance
R
35.3 GB
36,091
2000–2026
20 gap years (1980–1999)
Telluric
T
28.2 GB
5,941
2005–2026
31 gap years
Seismic
S
1.2 GB
3,547
1990–2026
No gaps in window
Events / GDACS
E
1.1 GB
457
2010–2026
30 gap years
Ocean / Tidal
O
400.5 MB
1,175
1909–2025
35 gap years
Celestial
Z
197.5 MB
461
1900–2026
40 gap years
Gravity
G
118.1 MB
21
In collection
Emerging category
Animal Behaviour
AN
7.6 GB
1,716
In collection
Emerging category
Volcanic
V
6.0 MB
42
2026
46 gap years
Total
13
563 GB
107,919
1700–2026
Published 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.