I would like to hear from data analysts or those whose primary job involves working with data irrespective of their role -

How has AI changed your role?

The Good: What's one thing you like that AI has done to make your professional life easier

Introducing The Unfiltered Data Club - a Slack community for data folks who want to vent, rant, laugh, cry, share memes, ask for help, or confess their most chaotic pipeline moments without judgment.

If you ve ever stared at a failing SQL query for an hour, fought with messy CSVs, or questioned your life choices because a dashboard refused to load, this is your new home.

We ve got a big update: after ten years, we re officially sunsetting the Golden Kitty Awards.

Hi everyone!

I'm Dave. Founder of Querri.com and long time enthusiast of data, product, ML/AI, and making things people love.
I first started thinking about data accessibility probably 20 years ago. I come from a web development background and learned my way around SQL at a young age. When I started building products for others I started seeing how difficult it was for most people to get insights out of data, including myself even with a solid toolset.
Around 2015 I had the privilege of working as a PM for a web personalization product where we had time and budget to bring in excellent data scientists, UX designers, engineers, etc, and we did everything we could to make web data accessible at the time, which involved drag and drop dashboards, automated insights and more, but we constantly hit the same problem: Data is just really freaking complicated, and every single business is different.

I've noticed that more and more founders are building their personal brand and prioritising it over building their company's brand (the company account then just reposts the founder's thoughts).

I notice this especially with solo founders.

Our What s your biggest data frustration? thread got way more love than I expected.

Reading through it, it hit me: everyone needs a place to rant about their data chaos - dirty spreadsheets, broken dashboards, wild analytics expectations.

So what if we created The Venting Room? A community where data people can share rants, memes, and maybe even fixes together.

We ve always aimed to make data ridiculously easy to use. This release takes a massive step toward that goal. We ve built an entire data workflow that lets you connect your data, clean it, analyze it, and share it, all through a simple conversational interface. For me, that s the most exciting part. This is a true data platform workflow, built for everyone.

Let s break down what s new and why it matters so much.

Connect and Go: Your Data, Now in One Place

Update: accidentally started this thread in this community. Wish I could move it to the right one without losing the upvotes and engagement. But since it has been approved, I will keep it here.

Imagine this - you wake up tomorrow and every dashboard in your life updates itself - they are clean, synced, perfect. No exporting/importing data from million sources, no sending countless screenshots in email to your boss, What s would you do with all that newfound free time?

I have come across several statements such as: a single person cannot raise money on their own (you need to be in a team of at least 2 people), it is not worth it because there is pressure on you, etc.

• What is your experience with raising money?

• What did it give you, and who did you raise it from?

• What do you think helped you to a large extent to get the raise?

Given all the AI tools out there today, what is one challenge with data that still remains unsolved? why do you think it hasn't/can't be solved easily.

When @daveaingram came up with the idea for Querri in the spring of 2023, the term "AI Data Analyst" wasn t even a thing. AI itself was far from mainstream. Even when we launched our first MVP in the spring of 2024, many larger companies still saw AI as "fringe." Fast forward to the fall of 2025, and not only is every tech business racing to incorporate AI, but entirely new product categories like "AI Data Analytics Tools" have emerged. So, we re proudly leaning into that term.

This is our second Product Hunt launch, but it s the first time Querri can truly help users through the entire data analytics cycle from start to finish.

Launching this week? Want even more coverage? Drop your best pitch in the replies for a chance to be covered in the Leaderboard newsletter which goes out to ~500K people

I ran a small restaurant for 7 years and even though I had ton of data - from Square POS, online reviews, social media and so many other places, including from customers directly, I just couldnt figure out how to use it to grow the business using that data. Eg we would improve the user experience based on feedback, but being able to predict busy days, or fill the restaurants on slow days, was always challenging and couldnt figure out how to use that data.

How do you use data from your small business to grow and expand? What tools do you use to leverage your data?

Hey Product Hunt!
This morning I launched my first solo product ever: Controol a minimalist finance app built around one idea:

Know how much you can spend, not just what you already did.

No team. No paid ads. No launch list. Just late nights and building something I personally needed.
I honestly didn t expect much but hours later, it made it to the Top 5 of the day

The feeling? Wild.
Strangers are connecting with the mindset behind it, and it's been amazing to read their comments.

In the last few days, I have seen many AI tools for creating audio-visual, and even people in my feed shared short movies created by AI (Hollywood will probably cut costs quite a bit in the next few years).

What is your experience with AI video generators, and which ones do you find the best?
(In terms of which AI tools have given you the best video results.)

I am helping my friends @daveaingram and @amy_ingram launch Querri on Product Hunt. Querri is a natural language powered data analyst that helps anyone with data to clean, transform and analyze their data just using plain language, no formulas, no SQL, no code.

We are super excited to be launching Querri on PH in a few days!! I have been reading all I can about launching on PH. If you launched on PH, are there any tips you would like to share on launching on PH and building a community?

Let's get to know each other, but in a more challenging way Only 3 words to describe yourself.

No more, no less.

I ll go first

After hours of reading best practices, crafting the perfect assets and assembling what felt like a bulletproof plan, we were ready to launch on Product Hunt. We worked so hard and genuinely believed we d wake up to thousands of sign ups and the Product of the Day badge.

The reality was very different. We saw a tiny boost in sign ups, got stuck at around 200 upvotes, and to top it off, finished below a food blender.

At almost every startup I ve worked with, there s one challenge I see many teams facing

Product managers, marketers, ops leads all waiting on dashboards, stuck in JIRA queues, or hacking together half-broken spreadsheets to answer questions like:

• Who are our most engaged free users right now?

• What features do power users not use?

• Which customers dropped off after onboarding but came back later?

So we built Querri a way to ask your company s data questions in plain English, and get answers instantly. No SQL. No dashboards. No waiting.