Pandada empowers both non-technical operators and data scientists to achieve data wealth. Move beyond "chatting" with data—Pandada turn messy csvs, pdfs, excels files, and even photos into downloadable and shareable McKinsey-level reports and presentations — so you can make better decisions grounded in data.
Pandada turn your messy files (CSVs, Excels, PDFs, images) into McKinsey-level insights so that you can build “data wealth” (hold on a second, i will explain it below).
10 years ago, I was a quant analyst at Charles River Development (acquired by State Street). I spent 80% of my time cleaning messy spreadsheets and wrangling numbers so that my PM can make better product decisions. It was slow and, despite my best effort, prone to errors. When I transitioned to become a PM and Investor, the problem persisted.
This is a universal challenge: drowning in files, starving for insights.
This is what refer to as "data poor."
This is why I build Pandada.
We launched our original engine in Jan 2024 in China, a year before Manus, and we quickly scaled to 3 million users and 1,000+ enterprises.
Today, we are excited to bring our battle-tested "Data Wealth" engine to Product Hunt. Pandada is built for the messy reality of work. We help you build Data Wealth in 3 steps:
Better Data: Pandada cleans and structures "dumpster fires" of files—scanned PDFs, screenshots, or messy Excel sheets or CSVs.
Better Questions: Pandada refines your coarse queries and turns them into expert-level prompts to get at the core insights your seek.
Better Answers: Pandada generates McKinsey-level, decision-ready reports that you can share, present, or download.
Whether you are a Python expert clearing your backlog, a Founder hunting for the hidden gem in your metrics, or a marketer seeking a better growth strategy—Pandada is built to make you wealthy in insights.
I’ll be hanging out in the comments all day—what are some of the toughest data challenges you've faced recently?
To celebrate our debut on PH, anyone who signs up before Feb 28th gets one month Pro for free!
Directly converting unstructured data like PDFs/images into McKinsey-style reports? That’s way more practical than typical data chat tools. Key points are parsing accuracy and report logic customizability—if it supports on‑prem deployment and maintains stable multimodal processing, this could be a game‑changer for enterprise analytics teams. Following, waiting to test further.
Congratulations on the release! 😘Instead of guessing, Pandada forced me to define thresholds. Finally, a data partner that prioritizes rigor over just giving a quick answer.
The auto-formatting feature saves me a lot of time on manual adjustment.
Pandada automatically sorts the bars and applied a clean palette :D
I got fantastic visuals without many configurations!
Pandada actually correlated support tickets with churn data, flagging the real driver for cancellations. I would have missed that pattern.
Congrats! If you’ve ever struggled with VLOOKUPs, Pandada feels like a superpower. It makes data matching and alignment simple without manual formulas.
I like that Pandada handles the heavy lifting of data prep. It lets me focus on understanding trends instead of fighting with columns and rows.
Congrats! As someone who had struggled with VLOOKUPs, Pandada feels like a superpower. It makes data matching and alignment simple without manual formulas.
A friend was wanting to have major raw data (csv), handed by his company, to be turned into valuable insights and was struggling with EDA and was pretty much drained from it as well. Came across this and shared it with him, man is all in for this. Kudos to the team for building this!!
The ability to ingest'messy' inputs like photos and PDFs is a game changer. 🧹 Most tools choke on anything that isn't a perfectly formatted CSV. If this handles the cleanup effectively, it solves 80% of the headache.
Congrats on the ship! Regarding the automated data cleaning: Does this handle duplicate entries automatically? Often my exports have overlapping rows and manual deduplication is a pain.🎉
Love the conversational direction. How iterative is Pandada? If I don't like the color scheme or the axis range on a generated chart, can I just ask it to 'make it blue', or do I have to regenerate?
Pandada takes care of the heavy lifting before analysis, I can now focus on understanding what the data is telling me. good job!
Pandada really bridges the gap between raw CSVs and usable reports. It feels like having a lightweight data engineer built into the browser.
After a brief trial, the chart effects are quite good and basically meet the requirements. I believe that with more interaction, I should be able to create charts that fully meet the requirements. Excellent！
Congratulations on the launch! Can this be integrated with Google Analytics? If so, it would be extremely helpful.
Pandada is actually teaching me how to think about data. By watching how it restructures my vague requests into strict logic, I’ve become better at breaking down problems myself.
The "Enhance the Prompt" feature basically wrote the query logic for me. 10/10 utility.
Congrats on the launch guys!
It is true that most teams are drowning in files but getting insights out of them can never happen in most cases. I can see this being really useful. Also curious on any planned next integrations?
Hey Product Hunt! 👋 I’m the creator of Pandada.
Pandada turn your messy files (CSVs, Excels, PDFs, images) into McKinsey-level insights so that you can build “data wealth” (hold on a second, i will explain it below).
10 years ago, I was a quant analyst at Charles River Development (acquired by State Street). I spent 80% of my time cleaning messy spreadsheets and wrangling numbers so that my PM can make better product decisions. It was slow and, despite my best effort, prone to errors. When I transitioned to become a PM and Investor, the problem persisted.
This is a universal challenge: drowning in files, starving for insights.
This is what refer to as "data poor."
This is why I build Pandada.
We launched our original engine in Jan 2024 in China, a year before Manus, and we quickly scaled to 3 million users and 1,000+ enterprises.
Today, we are excited to bring our battle-tested "Data Wealth" engine to Product Hunt. Pandada is built for the messy reality of work. We help you build Data Wealth in 3 steps:
Better Data: Pandada cleans and structures "dumpster fires" of files—scanned PDFs, screenshots, or messy Excel sheets or CSVs.
Better Questions: Pandada refines your coarse queries and turns them into expert-level prompts to get at the core insights your seek.
Better Answers: Pandada generates McKinsey-level, decision-ready reports that you can share, present, or download.
Whether you are a Python expert clearing your backlog, a Founder hunting for the hidden gem in your metrics, or a marketer seeking a better growth strategy—Pandada is built to make you wealthy in insights.
I’ll be hanging out in the comments all day—what are some of the toughest data challenges you've faced recently?
To celebrate our debut on PH, anyone who signs up before Feb 28th gets one month Pro for free!
Just fill out the form, and we’ll activate your Pro access within 24 hours. https://forms.gle/XEPfdePLremwYGDu7
BR,
Anya