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AnalityQa
The AI data analyst that runs real SQL, not guesses.
AnalityQa is an AI data analyst for non-technical teams — founders, ops, growth, and finance leads who need real answers fast Drop a CSV or connect Postgres, MySQL, Google Sheets, or Excel. Ask any question in plain English. Every chart runs real SQL on your actual dataClick any number to see the exact query behind it. Build live dashboards, iterate by adding panels with words, apply instant filters, or run multi-step investigations that surface anomalies and root causes.
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About AnalityQa on Product Hunt
“The AI data analyst that runs real SQL, not guesses.”
AnalityQa was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #65 on the daily leaderboard. AnalityQa is an AI data analyst for non-technical teams — founders, ops, growth, and finance leads who need real answers fast Drop a CSV or connect Postgres, MySQL, Google Sheets, or Excel. Ask any question in plain English. Every chart runs real SQL on your actual dataClick any number to see the exact query behind it. Build live dashboards, iterate by adding panels with words, apply instant filters, or run multi-step investigations that surface anomalies and root causes.
AnalityQa was featured in Analytics (172k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 17.8k products, making this a competitive space to launch in.
Who hunted AnalityQa?
AnalityQa was hunted by Mohammed. 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 AnalityQa stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mohammed
Hey Product Hunt 👋
I'm Mohammed, co-founder of AnalityQa. Mouad and I built this because we kept
watching non-technical friends struggle with the same data workflows every week.
AnalityQa replaces 5 things that usually need a data analyst or hours in Excel:
→ Auto-clean on upload: drop any CSV and AnalityQa automatically fixes formatting
errors, wrong data types, inconsistent dates, duplicate rows, and mixed currencies.
Your data is analysis-ready before you ask your first question. No manual cleaning.
→ Smart suggestions: after upload, AnalityQa instantly proposes different dashboard
angles based on what's in your data — revenue breakdown, trend analysis, top
performers, anomalies. No blank page, no "where do I start".
→ Ask your data: type any question in plain English, get an immediate answer
with the chart and the SQL. Like ChatGPT for your CSV, but with real code execution .
→ Build and iterate dashboards: turn questions into live dashboards. Add new panels
just by asking ("add top 10 products by revenue"), add instant filters across
the whole dashboard. Share via link, no login needed.
→ Investigate the why: ask "why did MRR drop 5% in March?" and AnalityQa runs
a multi-step investigation, pulls cohorts, checks churn vs new signups, finds
anomalies, returns a narrative report with charts and root causes.
What makes it different: real SQL execution on your actual data, not vector store
guesses. Every chart shows the query behind it. One click, full audit.
No hallucinations. No black box. No manual cleaning. No blank page.
Sources: CSV, Excel, Postgres, MySQL, Google Sheets.
Honest feedback wanted. Which workflow resonates most with you?