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ThresholdIQ
#Data Analysis #Data Visualization #Data Dashboard #Alert
@VigneshJ
Target Audience
Platforms
About ThresholdIQ
ThresholdIQ is a lightweight, no-code KPI monitoring platform designed to help teams quickly identify critical and warning threshold breaches across operational data.
Many organizations rely on spreadsheets or manual review processes to monitor performance metrics. This approach is time-consuming, error-prone, and makes it difficult to detect trends early.
ThresholdIQ simplifies this process.
Users can upload datasets in multiple formats — including CSV, JSON, XML, Google Sheets, or even copy-pasted tables — and instantly visualize how metrics evolve over time. The platform classifies values into Normal, Warning, and Critical ranges based on defined thresholds and presents them in a clear, trend-focused dashboard.
Key Capabilities:
Multi-format data ingestion (CSV, XML, JSON, Sheets, table paste)
Critical vs Warning trend visualization over time
No coding or complex BI setup required
Immediate insights without manual scanning
Lightweight and easy to use
ThresholdIQ is ideal for:
Operations monitoring
KPI tracking
Compliance and risk analysis
Performance trend analysis
Features
Automatic anomaly detection across 9 ML methods — no threshold configuration needed
Multivariate incident grouping — correlates alerts across metrics into named incidents (voltage sag, meter fault, PF degradation, service degradation, and more)
Domain-aware classification — automatically recognises AMI, oil and gas, water metering, DevOps, HVAC, and financial datasets
Hybrid severity scoring — combines z-score analysis with physical domain rules, so a 41V voltage drop is always Emergency regardless of window size
Alert deduplication — 5 alerts across a 7-hour window become one incident with duration and occurrence count
100% client-side processing — your data is processed in the browser and never stored or transmitted
Export to CSV, PDF, and email — incident reports ready for operations teams, management, or compliance
Works on any structured file — Excel, CSV, JSON, XML, up to 100,000 rows
No installation, no account required to try — results in under 60 seconds
Teams that need fast visibility without enterprise BI complexity
The goal is simple: help users detect issues earlier, act faster, and eliminate hours of manual spreadsheet review.
Product Insights
ThresholdIQ provides a no-code web platform for KPI monitoring and trend visualization by automating threshold classification across structured datasets. It bridges the gap between manual spreadsheet review and enterprise BI tools through lightweight, client-side data processing.
- Supports diverse data formats including CSV, JSON, XML, Google Sheets, and direct table copy-pasting.
- Ensures data privacy with 100% client-side browser processing that avoids data transmission or storage.
- Eliminates manual rule configuration by utilizing 9 machine learning methods for automatic anomaly detection.
- Handles high-volume data with support for up to 100,000 rows without requiring software installation.
Ideal for: Non-Technical Users, Data Scientists, and Product Managers who need to transform structured datasets into trend-focused dashboards for operations monitoring and KPI tracking.
Product Video
Screenshots
Product Updates (1)
@VigneshJMar 16, 2026
ThresholdIQ 2.0
Few weeks ago, I shipped ThresholdIQ with a simple premise: monitor your spreadsheet data without needing a BI tool. You uploaded a file, set some threshold rules, and got email alerts when values crossed them.
It worked. But users kept hitting the same wall: setting thresholds is harder than it sounds. What's the "right" threshold for revenue when your business has seasonality? What about a metric that's been quietly drifting for three months?
So we scrapped the rule-based approach entirely. ThresholdIQ v2 uses 9 concurrent ML detection methods to find anomalies automatically — no thresholds to configure, no false positives from stale rules.
What the engine actually does
When you press Detect, the engine runs per group, per metric, per row — all inside your browser. Nine methods run in parallel:
Multi-Window Z-score builds rolling baselines at four window sizes simultaneously. EWMA catches sudden deviations from exponential trends. SARIMA handles weekly and monthly seasonal patterns. Isolation Forest finds global outliers that local windows miss. Correlation deviation checks whether related metrics moved together. DBSCAN labels isolated noise points. The remaining three catch seasonal day/hour patterns, slow trend drift, and stuck or zero-value anomalies.
Each method contributes a weighted score. The final severity — Warning, Critical, or Emergency — is determined by how many window tiers breach simultaneously. More windows breaching means a more persistent, significant anomaly.
The window control actually works now
The sidebar has always had a 50 / 100 / 200 / 500 pts window selector. In v1 it only changed the chart viewport. In v2, it scales all four detection window sizes proportionally. Choose 50 pts and the engine uses windows of [25, 50, 100, 250] — reactive, catches fast spikes. Choose 500 pts and it uses [250, 500, 1000, 2500] — stable, only flags
Product had at the time: 1 upvotes • 1 comments • 1 followers • 1 PeerPush
Comments (3)
@VigneshJMar 17, 2026
@wafler Thanks a lot, it was after clear struggles i have seen with team by manually scanning excel and finding the anamolies.
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Comments (5)
Who do you think your competitors are?
@alcazarsec Hi, specifically we dont have many tool that detects the business data and raise anomalies, It is similar to Datadog,New Relic These monitor systems, not business data. “They monitor servers. We monitor business"
Love that you shipped this before it was perfect. And if you ever need DDoS protection with a proper firewall for your website, just let us know!
@wafler Thanks, will let you know
Great stuff, congrats.
@exposure Thanks a lot, Please try and provide me the feedback
Cool! Thanks for sharing!
@jenezis Thanks, please do try and let me know the feedback.
Turn any spreadsheet into critical, warning & emergency insights. Stop manually scanning spreadsheets — get instant alert dashboards. Spreadsheet data. Instant alerts. No BI tools needed.