Pandada AI
Build data wealth: Turns files into McKinsey-level insights
991 followers
Build data wealth: Turns files into McKinsey-level insights
991 followers
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.
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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
Congrats on the launch, Anya @anya_pandada and team! 🚀 Love the "data wealth" vision — it's so true that we're often drowning in files but starving for real insights. Turning messy CSVs/PDFs even from photos into McKinsey-style reports sounds like a game-changer for non-tech folks and analysts alike!
Big kudos on already serving 3M users in China — that’s impressive validation! 😲 The 3-step workflow (Better Data → Better Questions → Better Answers) is super clear and feels practical for daily chaos.
One suggestion from a product lens: Have you considered adding a "template gallery" of common business report types (e.g., marketing performance, SaaS metrics, quarterly reviews)? It could help users jumpstart their analysis and align teams faster. Also, a lightweight "audit trail" showing how data was transformed would boost trust for enterprise adoption.
Excited to try the Pro access! 🙌 Quick question: Are there plans to integrate with tools like Slack or Notion for sharing insights directly?
Wishing you a huge launch day! 🎉
@rocsheh Thank you for your support!
@rocsheh Thank you so much!!
@rocsheh Thanks for the support, Zepeng! Really glad the "Data Wealth" vision clicks with you.
Your suggestions are spot on:
Templates: We have some use cases built-in now, but a full "Template Gallery" is definitely next on our list!
Audit Trail: We actually expose the Python code for every step so users can see exactly how the data is transformed. Transparency is a big deal for us.
Integrations: Slack and Notion are high on our roadmap for easier sharing.
Excited for you to try the Pro access—let me know how it goes!
@rocsheh Much appreciated, Zepeng!
I love that you caught the 3-step workflow—we spent a lot of time making sure it actually holds up in real-world "daily chaos". Thanks for the shoutout on the 3M users validation too; it’s been a wild ride bringing those lessons into Pandada.
Anya’s already got your suggestions on our board, so I’ll just say: welcome to the Pro club :D
@rocsheh Thank you !
Congrats on the launch! I like that Pandada lets me analyze trends without writing code. Does it also expose the underlying Python code used during data processing?
@sandy_liusy Thanks Sandy! Absolutely. While we offer a no-code experience, we also show the Python code so that expert users can audit the process and validate the results. We want to ensure our insights are always "white-boxed" and trustworthy!
@sandy_liusy Thanks~~
@sandy_liusy Many thanks for your kind words and support～
@sandy_liusy thanks for your support～
I’m impressed by the output quality from Pandada. The export button produces clean, high-resolution charts where labels don’t overlap, which is a huge help for professional reporting.
@charlenechen_123 Thank you, I'm delighted that Pandada is able to assist you.
@charlenechen_123 So glad you noticed that detail, Charlene! We wanted those charts to be presentation-ready the second you hit export. No more design tools needed—enjoy!
@charlenechen_123 Hey~~ Charlene~ Thank you for your support on Product Hunt — we really appreciate it!
@charlenechen_123 Thank you for your support!
@curiouskitty Massive thanks for the deep dive! It’s not every day we get to chat technicals with a Curious Kitty. 🐾 Here is how the "Smart Panda" handles those messy bundles:
Cleaning: We don't just scrape text. Our Multimodal Large Model + OCR hybrid understands the visual and structural logic of your screenshots and PDFs. It reconstructs the tables as they were intended, ensuring the data is analysis-ready from the start.
Transparency: For strategic decisions, we know experts need to verify the logic. While we don't have direct cell-links yet, professional users can dive into the Code Interpreter to inspect the underlying code and verify exactly how the data was sourced and processed.
Shortcuts: Efficiency is about not repeating yourself. Based on our 100+ global user interviews, we built Shortcuts. You can customize and save your task logic, then use it as a recurring workflow to handle your weekly reports—or even automate "counting how many fish I've eaten today"... lol. No need to reinvent the wheel!
We’re excited for you to build your first Shortcut and look forward to your feedback!
@curiouskitty Thanks for the thoughtful question. From a user’s point of view, a good first session usually starts pretty simply.
You upload a messy bundle (spreadsheets + PDFs/screenshots), ask a rough question, then hit the “Enhance the prompt” button. That step helps turn your initial ask into a clearer, more structured analysis prompt before anything runs.
From there, Pandada handles the cleanup and analysis, keeps results traceable to their sources, and lets you fix or clarify things conversationally if something looks off.
That’s the experience we’re aiming for, and we’re continuing to refine it based on real messy data.
How does Pandada handle really messy PDFs with tables and scans?
@abod_rehman Messy PDFs and scans are usually a total nightmare. We handle them by combining traditional OCR with Multimodal Large Language Model capabilities. This hybrid approach helps Pandada recognize structural logic and reconstruct tables accurately. Feel free to put it to the test with your most chaotic files!
Big congrats on the Pandada AI launch. Turning raw files into McKinsey-level reports is a bold and exciting promise.
How are early users reacting to the quality of the generated insights so far?
@priyankamandal The feedback has been solid. Our team has served millions of users previously, so the core engine is already battle-tested. While building Pandada, we conducted over 100 deep interviews and research sessions with global users across different roles to ensure the tool fits international workflows perfectly. We’re excited for you to give it a try and look forward to your feedback:D