Livedocs – AI-Native Data Notebook Without the Setup

TL;DR

TL;DR: Livedocs is a browser-based notebook that connects live data sources and lets you query them using plain English — no SQL, no Python setup, no infrastructure to manage.

What Is Livedocs?

Livedocs is an AI-native notebook built for data analysis without code or infrastructure. It sits somewhere between a spreadsheet and a full BI tool — you connect your data sources (databases, APIs, files), then ask questions in plain language and get results instantly. Charts, tables, summaries, all generated on the fly.

The pitch from their YC W22 launch was direct: live data in your documents, without code. Instead of writing SQL queries or building pipelines, you describe what you want and the AI constructs the underlying data operations.

Think of it as a notebook that speaks data. Teams use it for exploratory analysis, stakeholder-facing reports, and ad-hoc queries that would otherwise require a data engineer to write a one-off SQL script.

Setup Workflow

Step 1: Create a Free Account

Visit livedocs.com and sign up. No credit card required for the free tier. The interface is entirely browser-based — no desktop app or local installation.

Step 2: Connect a Data Source

Livedocs supports a range of connectors. From the dashboard:

1. Click Add Source
2. Choose your connector type:
   • PostgreSQL / MySQL — enter host, port, credentials
   • Google Sheets — OAuth authorization
   • CSV/JSON upload — direct file drop
   • REST API — paste endpoint URL + optional auth headers

Once connected, the source appears in the left sidebar under Data.

Step 3: Create a Notebook

Click New Notebook. You land in a blank canvas with a single prompt cell. Type your question in plain English:

"What were our monthly active users for the last 6 months?"

Livedocs resolves the query against your connected source, returns a table, and offers one-click chart visualization.

Step 4: Share the Notebook

Notebooks can be shared via link (read-only or editable). Collaborators with the link can view live results — the data refreshes on each load, so dashboards built in Livedocs never go stale.

Key Features

Conversational Data Queries

The core differentiator. Ask follow-up questions that build on previous context:

"What about Q3 compared to Q4?"
"Break this down by region."
"Show only rows where revenue exceeds $10k."

Each follow-up refines the prior query. You rarely need to start from scratch.

Live Data Connections

Unlike static BI exports, Livedocs notebooks maintain a live connection to your data sources. A scheduled refresh option keeps results current for time-sensitive reporting.

One-Click Visualizations

Query results automatically suggest chart types. Bar, line, scatter, pivot tables — click to render. Charts are interactive and exportable as PNG or embedded via iframe.

Collaborative Editing

Multiple people can edit a notebook simultaneously. Changes sync in real time, and a version history lets you revert to prior states.

API Access

For programmatic use, Livedocs exposes a REST API. Run queries from CI/CD pipelines, integrate results into external dashboards, or automate report generation on a schedule.

Deeper Analysis

Where It Fits in the Stack

Livedocs targets the gap between “I need to answer one question about my data” and “I need a full BI setup.” Traditional tools like Metabase or Looker require schema knowledge and upfront configuration. Livedocs removes that barrier — connect and ask.

It is not a replacement for dbt for data modeling, or Airflow for pipeline orchestration. For teams that need quick answers from live databases without a data engineer in the loop, it fills a genuine gap.

Pricing

Livedocs offers a free tier with 2 connected sources and 1,000 queries per month. Paid plans start at $49/month for 10 sources and 50,000 queries. Enterprise tiers include SSO, audit logs, and dedicated support.

Security Notes

• Credentials for data sources are stored encrypted at rest
• No data is cached on Livedocs servers — queries execute directly against your source
• SOC 2 Type II certification is in progress (per their docs)
• API keys can be scoped to read-only access

Practical Evaluation Checklist

• [ ] Connect a PostgreSQL database in under 5 minutes
• [ ] Run a plain-English query and verify the returned dataset
• [ ] Generate a chart from the results
• [ ] Share the notebook with a colleague (read-only link)
• [ ] Test the REST API with a curl request
• [ ] Check query performance on a table with 1M+ rows

FAQ

Q: Does Livedocs support BigQuery or Snowflake? A: As of the YC W22 launch, PostgreSQL and MySQL were the primary SQL connectors. Google Sheets and REST API connectors provided broader reach. Direct BigQuery/Snowflake support may have expanded — check their integrations page for the current list.

Q: Can I use Livedocs offline? A: No. Livedocs is a fully cloud-hosted product. All query execution happens on their infrastructure. For offline use, consider exporting results as CSV.

Q: How does query pricing work? A: A “query” counts each time you run a cell. A notebook with 3 cells that each run once uses 3 queries. Scheduled refreshes also count toward the monthly quota.

Q: Is my data stored on Livedocs servers? A: No. Livedocs acts as a query proxy — it executes queries against your connected source and returns results. No source data is stored on Livedocs infrastructure.

Q: Can I embed a Livedocs notebook in another application? A: Yes. Notebooks support iframe embedding with optional read-only restriction. Useful for internal dashboards or customer-facing analytics in product docs.

Conclusion

Livedocs solves the “I just need to ask one question about my data” problem without calling in a data engineer. Plain-English queries, live source connections, and one-click visualizations make it a practical tool for analysts, product managers, and founders who need answers fast.

If you have data in PostgreSQL, MySQL, or a Google Sheet and you want to explore it without writing SQL or standing up a BI tool, Livedocs is worth 10 minutes of your time. The free tier is generous enough to validate the workflow before committing to a paid plan.

Try it: livedocs.com