Capalyze
ChatGPT for datavores: scrape → ask → visualize
4.4•14 reviews•1.7K followers
ChatGPT for datavores: scrape → ask → visualize
4.4•14 reviews•1.7K followers
Scrape real data from websites in real-time into Univers (our spreadsheet engine with 27.5k stars on GitHub!). Ask questions, visualize with interactive tables & charts, and then slice, dice, and export — all in one place.
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Launch Team
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Have you considered providing an SDK so developers can embed it in their own products to directly generate similar charts?
@omar_saad3 Yes, the charts are powered by the Univer SDK, and we’ll be releasing some integration practices soon. Please stay tuned at univer.ai
The agent orchestration approach sounds solid for complex data tasks. We analyze tons of social media metrics for influencer campaigns and always hit walls with traditional tools.
How does the browser extension handle rate limiting on platforms like Instagram or TikTok? Those sites are pretty aggressive about detecting automated activity, even when mimicking human behavior.
The Musk/Altman post analysis is clever - those comment threads are goldmines for understanding tech sentiment trends.
@alex_chu821 Thanks for your interest!
There really isn’t a perfect solution. Our strategy is to keep the scraping frequency as low as possible — this both minimizes the impact on the platforms and increases the success rate.
In one of Sam’s interviews, I even came across a discussion in the comments about AI’s impact on cryptocurrency, which was quite fascinating.
@wbfsa Thanks for your interest!
There really isn’t a perfect solution. Our strategy is to keep the scraping frequency as low as possible — this both minimizes the impact on the platforms and increases the success rate.
In one of Sam’s interviews, I even came across a discussion in the comments about AI’s impact on cryptocurrency, which was quite fascinating.
Really interesting approach — combining scraping, spreadsheets, and AI analysis in one flow makes a lot of sense. I like the fact that each row links back to the original webpage for traceability.
I’m curious: how does Capalyze handle sites that are more dynamic (JS-heavy, login-protected, or frequently changing structure)? Also, is there any plan to support custom connectors or API integrations so we can mix Capalyze data with internal company data sources?
@goharmalik Thank you so much for trying and enjoying Capalyze!
Capalyze works through a browser extension, so users can log in to the websites they want to capture, and the data is scraped exactly as seen. For structural changes, we use a combination of our own algorithms and AI to adapt, aiming to support as many table-based sites as possible.
Yes, this is already on our roadmap — please stay tuned for future releases.
Real-time scraping directly into a powerful spreadsheet engine? This is a game-changer! Can't wait to automate my data workflows and ask questions on the fly. Incredibly excited to try this!
@noman_noman4 Yeah, Noman. You are exactly right! Thank you for your support, it means a lot to us!
This is awesome, congrats on the launch! "ChatGPT for datavores" is the perfect description.
Finally, a way to go from a question to a visualized answer from live web data without writing a single line of code. This will save so much time. Upvoted!
@clark_gao Thanks! This is the black magic of the AI era, making it possible to get more things done in one go!
@clark_gao Thank you for your support and kind words about Capalyze. Data scraping + analysis, providing a one-stop solution to address user pain points is exactly what we aim to achieve.
@clark_gao
Thanks so much, Clark! 🙌
We came up with the slogan “ChatGPT for datavores” because of what we kept seeing from our users:
1. They don’t just want raw tables — they want to keep asking deeper questions.
2. Once they get answers, they need clear visualizations to digest insights quickly.
And that’s what being a datavore is all about: starting with a question, pulling from the right data source, interpreting it, and reaching a conclusion.
For too long, data analysis has been gated by complexity and high barriers(yeah I really mean it!).
With Capalyze, we want to break those barriers — so anyone can be a datavore, chasing truth with cause-and-effect clarity, and uncovering insights that really matter. 🚀
Congrats on the launch! I can use this to analyze social media trends and identify suitable strategies. It will be a great help.
@deepanalysis Thank you! That’s exactly one of the key use cases we had in mind
@deepanalysis Thank you so much, and I hope Capalyze proves helpful to you.
@deepanalysis Appreciate your support, Steven.
@faisal_khan51 Thank you, Faisal.