tableArth.ai
Make every table in your product AI-smart
22 followers
Make every table in your product AI-smart
22 followers
tableArth.ai is the embeddable AI analytics layer for B2B software. Add it in 2 lines of code — your customers ask any data table questions in plain English and get instant answers, auto-charts, and dashboards in under 5 seconds. No SQL. No CSV exports. 4 privacy modes keep sensitive data safe. Widget · REST API · Chrome Extension.
This is the 2nd launch from tableArth.ai. View more
tableArth.ai
Launching today
The tableArth.ai capabilities — natural-language queries, auto chart selection across 8 chart types, streaming responses, suggested prompts, auto-built dashboards, and retry intelligence.
Free
Launch Team
love how dead simple the embed is, two lines of code is genuinely refreshing for an analytics tool. curious how it holds up on really messy real-world schemas though
two lines of code and my test data table actually answered back in plain english, the latency felt instant. honestly surprised how clean the widget looks dropped into a basic dashboard
Two lines of code to drop in a full analytics layer is genuinely impressive. One thing I'd love to see is a way to let admins define which columns or tables the widget is allowed to query per customer, so end users can't accidentally (or intentionally) pull fields the team hasn't vetted.
Having a "saved questions" feature per user would be great, so regular dashboard users can pin their most common queries and revisit them without retyping. Also a one-click export of the auto-generated chart as PNG or embed code would make sharing with stakeholders way smoother.
Would love to see a way to save and share specific Q&A threads as reusable dashboards or templates, so teammates can build on each other's questions without re-asking the same thing every time.
Dropped it into a test dashboard and the plain English queries actually understood messy column names without me rewording anything. The auto-charts picking the right chart type was a nice surprise too.
A natural language filter builder would be huge. Like, let users type "show me deals over $10k from last quarter that are still open" and have it apply as a persistent filter across the dashboard, not just a one-off query.