We tested Datastripes in creating a complete dashboard in 30s

If you follow our journey in Datastripes, you know our approach: experimenting, experimenting, experimenting. Thus, we ran a simple experiment, 5 days from the launch:

• We uploaded a messy CSV about CRM stages.

• We let the AI decide the best way to clean, transform, and visualize it.

• We timed the process from raw data to an interactive dashboard.

Result: 30 seconds. ⏱

But wait… someone asked us: how does this compare to GPT-5 or Gemini?

We love GPT-5 and other general-purpose LLMs, we use them a lot and they’re amazing for text, and even some quick chart generation (with the canvas mode). But when it comes to end-to-end data analysis at speed, we found a big difference:

Here is a comparison of key features:

Feature: Conversational data queries

• GPT-5: ✅

• Datastripes: ✅

Feature: Different data sources (DB, ERPs, files)

• GPT-5: ❌

• Datastripes: ✅

Feature: Suggest full analysis workflows

• GPT-5: ⚠️ Limited

• Datastripes: ✅ Automatic

Feature: Interactive dashboard hosting

• GPT-5: ❌

• Datastripes: ✅ Instant

Feature: Shareable links for the team

• GPT-5: ❌

• Datastripes: ✅ 1-click

Feature: Infrastructure for data pipelines

• GPT-5: ❌

• Datastripes: ✅ Built-in

So, why Datastripes feels different

Datastripes was built for data, not just as an add-on to an LLM.

From the moment you upload, it knows how to:

• Propose a complete analysis flow

• Host and share the dashboard instantly

• Keep all transformations transparent (node-by-node)

• You still get a natural language interface like GPT-5, but with the specialized muscle of a platform designed for real-world data handling and collaboration.

📊 Try it yourself in 5 days: see if your dataset can go from zero to dashboard in 30 seconds.

We are launching on August 13th here: https://www.producthunt.com/products/datastripes?launch=datastripes
But you can see also a demo right now on: https://datastripes.com