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.
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:
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 rolling windows (P50, P90, P95, P99, StdDev, Rate/sec). This reduces false positives and surfaces anomalies that actually matter.
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.
tldr: yes. Shoutouts are one of the simplest distribution levers on Product Hunt.
Shoutouts are meant to pay it forward and highlight the tools that helped you build. But beyond goodwill, they create durable distribution for your product on Product Hunt and across LLM driven discovery.
When you shout out a product during launch, it becomes a founder review on that product s page. Founder reviews sit above regular reviews and include a link to both your profile and your product. That means your product is now attached to every future visit to that product s review page, long after launch day. For example, check out @timliao s shoutout of @Framer or @guymanzur s shoutout of @Base44
