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Dev tools · January 7, 2026

Datastripes Lens

Hi HN, I started building Datastripes as part of my thesis, trying to answer a simple question: How can non-technical teams turn raw data into insights without relying on developers or BI tools? What began as research has now grown into a working product, built by a small team, focused on solving that exact problem. Datastripes is a no-code platform for creating dashboards and data visualizations in minutes: no SQL, no setup, no friction. What it does: Connects to CSVs, Google Sheets, or APIs Drag-and-drop dashboard builder Shareable via public links or embed Fully browser-based We’re…

Datastripes Lens launched on January 7, 2026 with 94 votes, #369 of 14,585 launches that month and more than 95% of that year's launches.

What it does

Stop copying data to spreadsheets. Datastripes Lens is a free Chrome extension that transforms boring tables and numbers on any webpage into a powerful gallery of interactive charts with one click. Your personal data analyst, right in your browser.

Visualize Excel & SQL data into interactive dashboards in seconds. Datastripes offers AI-powered forecasting, Monte Carlo scenarios, and Sankey mapping. Bank-grade privacy: data stays in your browser.

Zero Data Centralization. Your database stays behind your firewall. We see nothing. From advanced aggregations to AI-powered forecasting, our spreadsheet functions let you perform complex data transformations and analyses without leaving your cells. Group by categorical columns and aggregate numbers instantly. No pivot tables needed. Linear regression, K-Means clustering, and Holt-Winters forecasting applied directly to cell ranges. Fetch APIs, Crypto prices, or Exchange rates right into your sheet. Cached for the session. Native NPV, IRR, CAGR, and Monte Carlo simulations for risk and uncertainty modeling. Fetch crypto, stocks, or any JSON API without writing scripts or managing API keys.…from datastripes.com

In the maker’s words, at launch

Hi HN, I started building Datastripes as part of my thesis, trying to answer a simple question: How can non-technical teams turn raw data into insights without relying on developers or BI tools? What began as research has now grown into a working product, built by a small team, focused on solving that exact problem.…

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