GetQueryly: Ask Your Data Any Question. Get Real Answers.

Emmanuel Mireku Mensah — Tue, 11 Aug 2026 06:29:47 +0000

You have a spreadsheet. You have questions. You don't want to write code.

GetQueryly lets you ask your data anything in plain English and get real, actionable insights with charts, statistics, and reports.

What You Can Do
Upload any file. CSV, Excel, PDF, JSON, Parquet, SPSS - if it has data, we handle it.

Ask in plain English. No SQL. No formulas. No coding. Just type what you want to know.

Get real results. Actual charts. Actual statistics. Actual insights.

Features Built for Real Work
Data Health Check
Upload a file and instantly see what's wrong with it. Missing values, duplicates, outliers, correlations - everything flagged before you even ask.

Smart Analysis
Ask "show me revenue trends by region" and get a real chart with actual numbers. Ask "what's driving customer churn?" and get a statistical breakdown.

Multi-Analyst Reports
Need a full picture? GetQueryly assembles a team of AI analysts - each with different expertise. They collaborate and deliver a comprehensive report.

Anomaly Detection
Your data has problems hiding in plain sight. GetQueryly finds them automatically. Spikes, drops, outliers, unusual patterns - flagged and explained.

Data Storytelling
Numbers are boring. GetQueryly turns your data into a narrative. "Revenue grew 23% in Q3, driven primarily by the West region, with December being the strongest month."

Kaggle Dataset Explorer
200,000+ public datasets at your fingertips. Search by keyword, preview the data before loading, and analyze instantly. No downloads. No uploads. Just search and go.

Web Search Data Generation
Don't have data? Type a topic. GetQueryly searches the web across multiple sources, shows you what it found, and lets you generate a structured dataset from the research. Preview sources before committing.

Predictive Follow-Ups
After every analysis, GetQueryly suggests what to explore next. Not generic suggestions - real questions based on what your data actually shows.

Export Everything
PDF reports. Excel workbooks with multiple sheets. CSV data files. Chart images. Download in any format.

For Teams
Create a workspace. Share datasets. Collaborate on analysis. Manage who has access to what.

For Developers
Full REST API. MCP integration. Build your own tools on top of GetQueryly's analysis engine.

Free to Start
10 analyses per day. No credit card. No signup required to explore.

Try GetQueryly now →

GetQueryly - Your data has stories. We help you tell them.

Built an AI Document Assistant That Runs Code in a Sandbox

Emmanuel Mireku Mensah — Sat, 25 Jul 2026 14:51:08 +0000

Every AI document tool falls into one of two categories:

Chatbots that can talk about your files but can't download anything
Dumb converters that can merge PDFs but can't think
I built DocMake to bridge both worlds.

What DocMake Does
DocMake is an AI-powered document assistant at docmake.online. You upload a file, describe what you need in plain English, and AI picks the right tool to handle it.

The Cool Part: Sandboxed Code Execution
The AI Data Scientist feature is what I'm most proud of. Upload a spreadsheet and:

AI analyzes the data structure
Writes code to process it
Runs the code in a sandboxed subprocess (not in the main process)
Returns interactive charts + natural language insights
The key architectural decision: DataFrames never live in the main process. Every analysis runs in a forked subprocess with a timeout and memory limit. This prevents a single bad query from crashing the server.

The Analyst Swarm
Inspired by multi-agent systems, the Analyst Swarm assigns multiple AI personas to independently analyze your data. Each persona writes their own code, runs it, and reaches a consensus. It's like having a team of analysts working in parallel.

MCP Integration
DocMake is also an MCP (Model Context Protocol) server. This means AI assistants like Claude, Cursor, and VS Code can call DocMake's tools directly — not just talk about converting files, but actually do it.

Lessons Learned
Subprocess isolation is critical for sandboxed code execution
Free tier AI models are good enough for most users
MCP is becoming the standard for AI tool integration
Try it at https://docmake.online Free tier, no credit card.

DEV Community: Emmanuel Mireku Mensah

GetQueryly: Ask Your Data Any Question. Get Real Answers.

Built an AI Document Assistant That Runs Code in a Sandbox