Querio

Self-service AI analytics for any team.

5.0•19 reviews•

522 followers

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Data is key for our jobs, skip the juggling act. We offer analytics designed for non-techies. Connect everything from HubSpot to an app DB, then simply ask for what you need. No SQL, Python or Excel wizardry required. Try Querio and simplify your data game!
Querio 1.0 gallery image
Querio 1.0 gallery image
Free Options
Launch tags:
Productivity•Artificial Intelligence•Tech
Launch Team

What do you think? …

Javier Bonilla
Maker
📌
Hey Product Hunters! 👋 We’re the makers of Querio and and we’re grateful for the chance to share the first step in our vision, Querio 1.0, with this innovative community. Thank you to our hunter, @benln, for believing in Querio and helping us officially launch! We recognize that interacting with data is a key challenge many of us face in our jobs and can set apart good vs top performers. Either you become an SQL guru and master Excel data joiner, or you're stuck with answers and dashboards that take days to build and barely scratch the surface of what's possible. 😵‍💫  That's where Querio 1.0 steps in! We make analyzing data as simple as messaging your data analyst, except we’re never busy. 🛠 Bring All Your Data: Whether your data sits in HubSpot or a PostgreSQL database, we've got you covered. We’re continuously adding new connectors and would deeply appreciate your suggestions on what to add next. 🔒Privacy and Security: We understand that your data is a sensitive and valuable asset, which is why we put privacy and security is our first priority. All app communications are encrypted and your data is made accessible through the most secure AWS services. 💬 Chat to Analyze: Our AI-driven chat allows you to ask a question as if you were talking to an analyst and get immediate responses. Querio is up and running at all times, ready to help you out when you need it. Please share your experience; we're eager to refine this feature. 📊 Visualize Your Data: Simply ask Querio to turn your results into a plot and get instant visualizations of your data. 📝 Save Your Templates: Found a question you often have? Save it as a template for future use. We have a Free plan so you can try it out for yourselves. However, we’re offering an exclusive deal for the Product Hunt community: 50% off on our monthly or yearly Team plan, rally the whole crew! 🎉 Leveraging our background in data, product, design and software engineering, we're committed to meeting your data needs. Querio aims to be the simplest way for you to unlock your data's full potential without the help of a data team. This is just the first step for Querio and your point of view will help shape our future, let us know what you think. Your insights are invaluable to us. Let's shape the future of Querio together! 🚀
Rami
Maker
📌
Wow! Product hunt you've been amazing so far. We built this in 3 months and its really the first product we've ever released with Querio and ever on PH! This is a great community, and we can't wait to hear all your feedback. Please test it as much as you can! Humbled by the response, and we will stop at nothing to build something you'll love.
Jason Calacanis
@ramiabih congratulations!
Benny R.
@ramiabih go rami!!
Ryan Hoover
Sooo much insight is locked behind SQL within orgs. I've seen a few other companies using LLMs to help with this. Curious how your approach is different and if there are any counter-intuitive learnings you can share so far, @rocketmanjb, @ramiabih, and team?
Rami
Maker
@rocketmanjb @rrhoover Thanks for the question Ryan! I think the key difference is we don't see insights only locked behind SQL, we see insights locked behind enablement. SQL is important of course, and AI has been able to write SQL for over a year now quite well, but then you have 4 main first principle problems that are above simply "how" to pull the data: 1. Is it accessible: SO SO many companies just don't even have their data away from native SaaS and excel sheets. Sure everyone is adding some sort of analytics, but if you want to know how many marketing leads are actually leading to signups, that is an easy question with a 60+ minute effort time. So one big thing is letting users login to all their SaaS so we ingest their data in one place. 2. Is it queryable: Some things just aren't really able to be done with SQL. Things like trends analysis, regression, good plotting, you need things like Python. Our platform does both, and likely more in the future. 3. What to ask: It's easy for some good people to ask questions like "what demographics had the best reaction to our campaign" but harder to ask "what made some campaigns better than others". Those open ended questions that can have complex answers can't just be a SQL pull, you need to find trends and surface results. We really believe more questions are unasked instead of unanswered. 4. Finally, what's the context: At bigger companies, the data analyst has no idea what's actually in the data they can access. We think when you just let an AI write SQL, you moved this dynamic from a person to an AI. AI still doesn't understand the context. What's a lead? What do you count as an expense? What's a conversion? When do we count a sale? When we get the money or lose the inventory? etc. We don't think fine tuning every model to every companies private data is the answer, we think it's context. We're building custom semantics that store all the context of a business in one place that an AI can reference to constantly understand and respond reliably. I hope that sheds some light and would love to know if there's anything you'd like to try with Querio that we can support!