This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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.
The 2-line embed is the kind of DX choice that makes adoption feel frictionless, love that you prioritized that over a flashy landing page.
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.
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.
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
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.
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.
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
About tableArth.ai on Product Hunt
“Everything you need, out of the box.”
tableArth.ai was submitted on Product Hunt and earned 11 upvotes and 8 comments, placing #88 on the daily leaderboard. The tableArth.ai capabilities — natural-language queries, auto chart selection across 8 chart types, streaming responses, suggested prompts, auto-built dashboards, and retry intelligence.
tableArth.ai was featured in SaaS (43.1k followers), Artificial Intelligence (473.7k followers) and Business Intelligence (3.7k followers) on Product Hunt. Together, these topics include over 158.7k products, making this a competitive space to launch in.
Who hunted tableArth.ai?
tableArth.ai was hunted by Table Arth. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how tableArth.ai stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Table Arth
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.