Querio

Self-service AI analytics for any team.

4.8•5 reviews•

527 followers

Self-service AI analytics for any team.

4.8•5 reviews•

527 followers

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Data analysis tools

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AI Chatbots

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Business intelligence software

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!

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Launch tags:Productivity•Artificial Intelligence•Tech

Launch Team

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Querio

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! 🚀

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3yr ago

Querio

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.

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3yr ago

@ramiabih congratulations!

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3yr ago

@ramiabih go rami!!

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3yr ago

Product Hunt

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?

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3yr ago

Querio

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!

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3yr ago

This looks really awesome. As someone who works with data, this would definitely solve key pain points in my day to day job. Happy to see the applicability in this. Very excited to try this out and will keep following up. Good job team ! Congrats on launching

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3yr ago

Querio

Maker

@dlc23 Hey Dina, we are very happy to hear that Querio can help you out! Let us know how it goes, we're building this product for you, and thank you for the kind words.

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3yr ago

Awesome tool! Just think of all the time analysts like me will have on our hands to do deep discovery analyses and really innovate after query scripting is taken care of by Querio. I've given it simple "give me sales by country and month for the last semester" tasks and more complex "give me the difference per customer between the minimum order value over their last 5 orders and the maximum order value over their last 20 orders" and querio has triumphed! I am very excited to keep on testing its limits and will definitely push for adoption among my colleagues.

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3yr ago

Querio

Maker

Thanks @aurelio_lopez_malo! We appreciate the detailed feedback and look forward to help more analysts like you focus on the deep stuff :)

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3yr ago

Been using the product as a beta tester for almost a week now and I can say it is very useful and easy to understand. The way Querio operates is pretty intuitive and versatile, adapting to the user's needs. I highly recommend it as a tool you must use if you want to optimize your data analysis capabilities. Good job guys!

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3yr ago

Querio

Maker

Happy to see you here @pepe_rodal and thanks again for helping us test out the product early and giving us your point of view. We're looking forward to continuously iterating on it with you!

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3yr ago

I love the idea and so far what I have tested of Querio, I would love to integrate it with JSON data and API calls straight for the UI, is that on the road map? Would there be dashboards or notebooks with useful fixed queries features? I love it! keep it going

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3yr ago

Querio

Maker

@esteban_cortes_lozano Hey Esteban! Can you elaborate on the JSON data and API calls? We'll support JSON data, the API calls I need more info to give you a strong answer. Dashboards and notebooks, especially with fixed queries is a feature in our Q4 roadmap!

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3yr ago

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4.8

Based on 5 reviews

Review Querio?

Querio is highly praised for its user-friendly approach to data analytics, enabling non-technical users to easily access and interpret data. Users appreciate its ability to streamline data organization and visualization, reducing the time spent on manual data processing. Many reviews highlight its potential to empower teams by simplifying complex data tasks, making it a valuable tool for product managers and analysts. The product is seen as a significant solution for everyday data challenges, with users expressing excitement about its future developments and widespread adoption.

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Querio

Self-service AI analytics for any team.

Self-service AI analytics for any team.

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