Vignesh
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DataScreenIQ is a Data Firewall SDK for modern pipelines. It screens every batch of data—JSON, rows, or files—and instantly returns PASS, WARN, or BLOCK with a clear Health Score. Detect schema drift, null explosions, type mismatches, and outliers before they break dashboards or models. Designed for Airflow, dbt, Spark, and Python workflows. One line of code gives developers real‑time data quality checks.
DataScreenIQ
DataScreenIQ Stop Bad Data Before It Breaks Your Pipeline
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Join the Squad for discussions at https://dly.to/G92nQDoTm8N
DataScreenIQ
DataScreenIQ Stop Bad Data Before It Breaks Your Pipeline
Vigneshstarted a discussion

Would you prefer SDK-based validation or UI-based validation?

If you had to choose one primary workflow for data quality checks: A) SDK-first (Python, API calls) B) UI-first (upload files, explore issues visually) Which one fits your workflow better, and why?

Vigneshstarted a discussion

How do you currently validate data in your pipelines?

Curious how everyone here validates data today. Do you use: custom scripts dbt tests Great Expectations nothing at all manual checks What’s working, what’s painful, and what’s missing?

Vigneshstarted a discussion

What’s the biggest silent data failure you’ve faced?

Data engineers — what’s the worst silent data failure you’ve ever dealt with? Schema drift? Null explosions? Type mismatches? I’m collecting real stories to understand how teams catch (or miss) these issues today. What happened, and how did you discover it?

Vigneshstarted a discussion

Built a Lightweight Excel Monitoring Tool — Would Love Feedback

Hi Product Hunt! 👋 I’m excited to share something I’ve been building: ThresholdIQ — a lightweight KPI simulator and anomaly detector for Excel/CSV data. Most teams still rely on spreadsheets for their most important metrics. But spreadsheets don’t warn you when something looks off. You only notice issues after they’ve caused damage. I wanted a simple way to upload a file and instantly see:...

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ThresholdIQ Automated Detection Engine
ThresholdIQ Automated Detection EngineNever miss a critical KPI change again
ThresholdIQ monitors your spreadsheets and alerts you when key metrics spike or drop unexpectedly. Most early-stage teams track revenue, signups, churn, and operational KPIs in spreadsheets. But manually checking numbers every day is unreliable — and important changes can be missed. ThresholdIQ automatically detects abnormal changes and notifies you instantly, so you can act before small issues become big problems. No complex dashboards. No heavy BI tools. Just simple, focused monitoring.
ThresholdIQ Automated Detection Engine
ThresholdIQ Automated Detection EngineNever miss a critical KPI change again
Vigneshstarted a discussion

Static thresholds are dead. Let’s talk about window‑based alerting

Most monitoring tools still rely on static thresholds — “Alert me if Sales > 10,000” or “Trigger Critical if Inventory < 500.” But real systems don’t behave in straight lines. Traffic spikes, seasonality shifts, and user behaviour changes every hour. That’s why we built window‑based alerting inside ThresholdIQ. Instead of looking at a single row of data, we evaluate patterns over time using...

Vigneshstarted a discussion

How do you get alerts from Excel without using a BI tool?

If your KPIs live in Excel or Google Sheets, how do you get automatic alerts? Right now most options are: Manual checking Complex BI setup Writing scripts Zapier automations I’m exploring a simpler way to: Upload a spreadsheet Set 3-tier thresholds (Warning / Critical / Emergency) Get alerts when numbers cross limits Before I launch — what would you need to see for this to be useful?