decisionbox-io

decisionbox-io / decisionbox-platform

Public

AI-powered data discovery platform. Connect your warehouse, get insights automatically.

decisionbox.io ai analytics bigquery data-discovery golang
23
8
100% credibility
Found Mar 19, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

DecisionBox is an open-source AI platform that connects to data warehouses to autonomously explore data and generate actionable insights for non-technical users.

How It Works

1
🔍 Discover DecisionBox

You hear about DecisionBox, a simple tool that lets AI explore your data and find important insights without writing any code.

2
📥 Get it running

Download and start it on your computer with a single command using Docker, opening a friendly web dashboard.

3
🔌 Connect your data

Link your data storage like BigQuery or Redshift, pick your AI helper, and describe your product type like gaming or social app.

4
🚀 Start discovery

Click to launch – watch the AI smartly explore your data step by step, asking questions and running checks automatically.

5
💡 See the insights

Get a list of key findings ranked by importance, with confidence scores and explanations of what they mean for your product.

✅ Take action

Follow the clear, numbered steps to fix issues like player drop-off or boost revenue, making your product better right away.

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AI-Generated Review

What is decisionbox-platform?

Decisionbox-platform is an AI-powered data discovery platform built in Go that connects to your data warehouse like BigQuery or Redshift, then runs autonomous AI agents to explore schemas, write SQL queries, validate findings, and deliver severity-ranked insights with action steps. No manual SQL, pipelines, or dashboard building required—just point it at your data, add product context via a Next.js dashboard, and get recommendations. It supports ai-powered data analysis for domains like gaming and social networks out of the box.

Why is it gaining traction?

It stands out with pluggable domain packs for tailored ai-powered data analytics (e.g., churn in match-3 games), multi-LLM support (Claude, OpenAI, Ollama), and per-project secrets without vendor lock-in. Developers love the zero-setup Docker Compose quickstart, live progress tracking, editable AI prompts, and cost estimators for warehouses and LLMs—making data analytics powered by ai feel effortless compared to rigid BI tools.

Who should use this?

Product managers and analysts in gaming studios or social apps chasing quick insights on engagement or monetization without SQL skills. Data-curious devs evaluating ai-powered data management for prototypes, especially those tired of manual exploration in warehouses.

Verdict

Worth a Docker spin for ai-powered projects github-style experimentation—solid docs, tests, and Helm charts punch above 23 stars, but 1.0% credibility reflects early maturity; productionize only after more community validation.

(187 words)

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