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.
Capalyze
👋 Hey Product Hunt! I'm Leon, founder of Capalyze. I’ve been working on spreadsheets for over 10 years, having built Luckysheet and Univer, two significant spreadsheet initiatives with collectively over 27.5k stars on GitHub.
❓Why Capalyze?
LLMs make it much easier to use spreadsheets. Users can ask questions in plain language, and Capalyze generates answers, visual explanations with charts, downloadable reports, and points to source data for transparency, eliminating the need for formulas or obscure menus.
🦄 How does it work?
Our spreadsheet agent orchestration system decomposes your question into subtasks and routes them in parallel to expert agents. These agents can scrape (using our proprietary scraper), analyze data, analyze sentiment, enrich data, and visualize information.
We deliver spreadsheet and chart data through our Univer Sheet and Chart SDKs, giving you powerful spreadsheet data processing capabilities that no other LLM offers.
👩💻 Who is it for?
🧮 Datavores who need real data and can’t afford hallucinations!
🏹 Product Hunters who analyze popular and competitive products
(2025 Top 500 Product Hunt Report: Capalyze vs. ChatGPT)
📈 Marketers who analyze Instagram or TikTok comments to improve campaigns
🛒 E-commerce sellers who pull Amazon competitor data to optimize product listings
🎓 Students who run sentiment or co-word analysis on news or comments for research
…and many more.
Personally, I use it daily to analyze replies under Musk & Altman’s posts on X—some wild insights in there!
🎉To celebrate our very first launch on Product Hunt, we’ve prepared a 14-day Premium pass for you!
Redeem code: CapalyzePH1
👉Capalyze — try it now or ping me for a live demo at 📧 leon@capalyze.ai
ScaryStories Live
@wbfsa Big congrats. For marketers, how do you handle robots/ToS & PII at scale, can admins hard-restrict agents to whitelisted domains/connectors?
Capalyze
@tonyabracadabra Thanks! Capalyze doesn’t use proxies — it uses a browser extension to mimic human interactions when collecting data. All data is captured exactly as seen (WYSIWYG), and content that would violate site rules is excluded from collection. By keeping collection frequency low, it also helps avoid breaching a site’s access policies.
Sprinto
@wbfsa congrats on the launch!
Capalyze
@tuneerprod Thank you !!
@wbfsa do you guys have plans for api access?
Capalyze
@olga_scry We don’t plan to provide an API for Capalyze itself. However, we will be releasing Univer MCP and a Spreadsheet Agent SDK, enabling any AI product to gain the same powerful data processing capabilities as Capalyze.
@wbfsa nice! best of luck with your today's launch and upcoming releases
Capalyze
@olga_scry Thank you!
@wbfsa hey team Congrats for your lunch
@leonliu2049 This looks super cool, i was looking for something very similar the other day. Would love to give it a try. Love the idea. Congrats on the launch and kudos to the team.
Really cool to see Capalyze bridging scraping + spreadsheets in such a seamless way. I’ve lost count of how many times I’ve opened 10 tabs, copied random data into a Google Sheet, and then realized half of it was outdated by the time I ran the analysis.
On our side, while building Escape Velocity AI (different problem space, business planning/financial modeling), we’ve noticed that the trust piece is always the hardest: people don’t just want outputs, they want to see where the numbers came from. It looks like Capalyze is solving that exact pain point in data analysis.
Are you seeing more pull from individual “datavores” running one-off analyses, or from teams trying to systematize competitor/market tracking?
Capalyze
@andreitudor14 Oh, thanks so much for the kind words! 🙏 The scenarios and pain points you mentioned are exactly what Capalyze is trying to address — making data collection and insight generation something anyone can easily handle.
And that’s a great question — really appreciate you asking. From what we’ve seen, datavores tend to dive into topics (e.g. mapping out the distribution of opinions in a public debate), while teams are usually more benefit-oriented, tying the data back to business questions. That’s also what pushed us to build features like scraping templates and team collaboration.
As for the ratio of individual vs. team users, due to privacy we can’t measure it precisely. But from my sense, more people are applying Capalyze in a work/business context, since the value created there tends to be more immediate.
@nextgennerd That's fair, I can see how collaboration features become the bridge when people move from “personal curiosity project” into something with business stakes. Have you seen any unexpected use cases emerge? Sometimes those edge cases end up pointing to whole new directions for a product.
Capalyze
@andreitudor14 Thanks.
ChatGPT or some agent products mostly generate reports by summarizing web searches. Although they appear to cite many pages, the issues of trust and accuracy always remain.
Capalyze, on the other hand, aims to solve both the data source and the data analysis problems at the same time, namely: capture + analyze = Capalyze.
According to our observations, just like Excel, although many individuals use it, it is mainly for handling their own work. Therefore, Capalyze’s users come from enterprises or teams, as well as individuals who want to pursue efficiency.
灵感盒子
@andreitudor14 Thank you for your kind words! When building Capalyze, trust was at the forefront of our thinking. How can users confidently rely on our analytical conclusions? To address this, we focus on minimizing AI hallucinations, carefully citing raw data sources, providing all intermediate data in tables with clear calculation steps, and visualizing final results through charts—mimicking the logical flow of a data analyst’s workflow.
Cheers on the launch 🎉. I have ✌️ questions on my mind:
In what ways does Capalyze enhance spreadsheet workflows beyond what ChatGPT alone can offer?
How does Capalyze manage large datasets, and are there any limitations on the number of rows or columns it can handle?
Capalyze
@1001binary Thanks for the great questions! Your points are very valuable:
ChatGPT is good at handling one-dimensional text data, while spreadsheets primarily deal with two-dimensional tabular data. The typical workflow includes data connection, preprocessing, analysis, and visualization. Capalyze stands out in several ways:
Data capture: It can convert web pages into editable spreadsheet data, even performing drill-down extraction to enrich columns.
Spreadsheet agent orchestration system: It routes and reflects across preprocessing, analysis, and visualization steps, delivering results that align more closely with user intent.
Data visualization: Powered by Univer Sheet and Chart SDK, it supports more diverse and sophisticated visual presentations.
Capalyze inherits Univer’s strong foundation in spreadsheet algorithms. By applying metadata annotation to two-dimensional data, it can process Excel files over 100MB (currently in beta; the official release supports up to 10MB). In contrast, ChatGPT, when faced with tables beyond its token limit, typically relies on Python for analysis, an approach that’s less effective than direct ingestion.
Capalyze
@1001binary Great questions, Hong! 🙌 These are exactly the kind of "real-world" challenges our users face in their daily workflows. Really appreciate you bringing them up.
灵感盒子
@1001binary Thanks!
remio - Your Personal ChatGPT
Hey Leon, big congrats on your launch, super stoked to see your new take on spreadsheets!LLMs making spreadsheets formula sounds awesome. Quick Qs: When scraping data (like Amazon or social comments), does it avoid outdated info? And can users tweak sentiment analysis settings?🤔
Capalyze
@lvyanghuang Thanks for your attention! Spreadsheet technology is the foundation on which we built Capalyze:
Data scraping is WYSIWYG. Although it cannot determine whether the data is outdated, if timestamps can be captured, such as comment time or product release time, you can use Capalyze to filter the data.
Sentiment analysis is supported. Users only need to provide a prompt, and it is not limited to positive, negative, or neutral. You can also set custom labels such as fear, excitement, frustration, etc.
Congrats on the launch! I believe Capalyze will be well used by people engaged in social media marketing (like TikTok Shop), automatically crawling and analyzing your social media performance and e-commerce performance.
Capalyze
@wayne_appgrowing Thank you! Wayne, you really made the point. Many of our early users are indeed in the two scenarios you mentioned: collecting comments from social media or the specs and prices on the listing. In the traditional workflow, you could only copy and paste a large amount, then spend days completing a report.
We hope Capalyze can streamline this whole process.
Capalyze
@wayne_appgrowing Thanks, you’re absolutely right! Capalyze can analyze competitors’ user reviews and product information for them.
灵感盒子
@wayne_appgrowing Thank you for trying Capalyze. Its primary use cases include e-commerce operations, self-media content creators, academic research for students, and more—all designed to boost their productivity.
Dodo Payments
Huge congrats on the launch!
Been following your journey and the product looks incredible.
Can’t wait to see how the community uses it.
Capalyze
@joshua_dcosta Hi Joshua,
Thanks for the support! 🙏 We’re also excited to see all the creative ways people will use Capalyze!
To make it more tangible, here are a few example use cases:
• Summarize feedback from Product Hunt reviews of Notion
• Analyze YouTube video comments and highlight key controversies
• Visualize Apple’s financial data from the past 5 years
• Analyze 300+ Amazon dress listings to extract pricing strategies and product insights
• Analyze Google Maps reviews of Yuko Kitchen for insights & strategy
Hopefully this gives a clearer picture of the value Capalyze can bring 🚀
Capalyze
@joshua_dcosta Thanks! The current user base of Capalyze includes marketers, influencers, sales teams, students, and e-commerce operators.
灵感盒子
@joshua_dcosta Thank you for the congratulations and for following our progress!
Spreadsheets that actually answer you back? That’s brilliant. The source data transparency is a nice touch too! Congrats on your Launch!
Capalyze
@christyfea Thanks for the recognition! The spreadsheet agent we built has been performing really well.
Capalyze
@christyfea You totally catch the point, Christy. Thank you.
灵感盒子
@christyfea Thank you for your kind words about Capalzye. We hope that Capalyze brings you convenience and enhances your work efficiency.