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ThresholdIQ: Rebuilt the Engine From the Ground Up
A few weeks ago I launched ThresholdIQ to help teams monitor spreadsheet data without needing heavy BI tools like Microsoft Power BI or Tableau.
The first version used simple threshold rules: upload a file, set limits, and receive alerts when values crossed them.
It worked โ but one issue kept appearing.
Setting thresholds is harder than it sounds.
Seasonal revenue, slowly drifting metrics, and correlated data often break rule-based systems. So instead of improving the rule engine, I removed it.
ThresholdIQ v2 now uses 9 concurrent anomaly detection methods to detect unusual patterns automatically.
When you press Detect, the engine runs multiple analyses directly in your browser:
multi-window Z-score baselines
EWMA deviation detection
SARIMA seasonal modeling
Isolation Forest outlier detection
correlation deviation checks
DBSCAN clustering
Additional detectors catch seasonal hour/day effects, slow trend drift, and stuck or zero-value signals.
Each method contributes to a weighted score that determines alert severity: Warning, Critical, or Emergency.
Why everything runs in the browser
All analysis happens locally โ your data never leaves your machine. No server processing, no external APIs, no third-party calls.
The ML libraries are bundled directly into the app so everything runs offline.
Tech stack: Vanilla JS, Web Workers, Chart.js.
If you regularly monitor spreadsheet data, Iโd love feedback.
Try it here: https://thresholdiq.app
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ThresholdIQ.app's answer:
Grafana shows what happened, ThresholdIQ shows what WOULD happen with different thresholds
ThresholdIQ.app's answer:
The tool lets you test thresholds on historical data before deploying: โข Upload CSV/Excel or paste from clipboard (even works with PDFs!) โข Set warning/critical/emergency thresholds โข See exactly which alerts would have fired โข Visualize on a timeline โข Export reports
ThresholdIQ.app's answer:
Devops , SRE Teams and even business who want to test their data for their performance setting up the threshold.
ThresholdIQ.app's answer:
I built ThresholdIQ after getting paged at 3am because of badly tuned alert thresholds. The classic problem: set them too low โ alert fatigue, set them too high โ miss critical issues.
ThresholdIQ.app's answer:
Tech stack: Vanilla JS, Web Workers, Chart.js. No frameworks, no server.
ThresholdIQ.app's answer:
This is a new App, looking of genuine users and feedback,
My programming assignment, in general, is good, I got 81 out of 100, and I was planning to get more, but it is still I still want to work with your team, and looking forward to receiving good work from a great team. I received some notes about the PPT that it was very basic, but overall, I would really thank you for the quick response and actions from your side in a perfect timeline :)