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.
Congrats on the launch! I checked out your website and videos — really impressive. I’m excited to try the product and see how it performs. Best of luck as you grow!
Capalyze
@zhenggangbao Thanks a lot!!
Capalyze
@zhenggangbao Thank you! We designed our site and video to showcase the product’s benefits. Really glad to hear it resonated with you.
灵感盒子
@zhenggangbao Thanks!
LuckySheet’s spreadsheet engine has a very good reputation in the open-source community. Now that it’s integrated into the product, is there an API exposed for developers to reuse?
Capalyze
@julian_michael1999 Thanks to our old friends of LuckySheet! Developer services for Capalyze will be launched later!
Love the scrape → visualize → export flow. Do you support API/webhook exports to push filtered slices into our BI?
Capalyze
@changne Thanks! This is a very interesting point — if this is a real need, we can definitely dive deeper into it!
Have you considered providing an SDK so developers can embed it in their own products to directly generate similar charts?
Capalyze
@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
Scrumball
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.
Capalyze
@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.
Scrumball
@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?
Capalyze
@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.
WPS Office
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!
Capalyze
@noman_noman4 Yeah, Noman. You are exactly right! Thank you for your support, it means a lot to us!