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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.
Trace-AI
This is awesome making spreadsheets so much easier with plain-language questions. Excited to try it out and see what kind of insights I can uncover
Capalyze
@sriramg Thanks! I’m sure Capalyze’s data analysis capabilities will impress you as well.
Wow, Capalyze sounds like an incredibly innovative tool for spreadsheet users! The ability to ask questions in plain language and receive visual explanations and downloadable reports is truly game-changing. As someone who works with data regularly, I can see the immense value this product would bring. Excited to give it a try with the 14-day Premium pass! Congratulations on your launch Leon!
I love you've connected scraping, analysis and visualization into one flow. Most tools make this messy but Univers seems like it's built exactly for datavores who want real insights without constant switching.
Wow, combiining scarping with spreadsheet power and interactive charts in one tool sounds great. I've struggled with fragmented setups before, so Univers feels like a natural upgrade for anyone serious about working with data.
Univers looks like the missing link between casual spreadsheets and hardcore coding. Love the focus on real scraping and instant visualization, makes data play more fun and much less painful.
PawChamp
Wow! Congrats with your #1 of the day and #1 of the week! you definitely deserve to get #1 of the month!
YouMind
Love the all-in-one approach — scraping, plain-language querying, and visuals in one flow feels super practical for quick analysis. Question: how do you ensure minimal hallucinations when agents synthesize insights from scraped social comments — do you show provenance at the sentence level or only at dataset/chart level? Would be great to understand traceability for audits.
Capalyze
@jaredl Thanks! The question can be broken down into two parts: collection and presentation.
Collection: Capalyze’s data collection is algorithm-driven, with AI invoked only at key decision points. It works more like a workflow. We chose this approach because it ensures more stable collection, and since spreadsheet data scenarios demand absolute accuracy, avoiding hallucinations is critical. Every collected row includes a hyperlink, allowing one-to-one traceability.
Presentation: Capalyze processes the source data and then generates insights. Each section explicitly shows the referenced data, and the underlying data for charts is also directly accessible. In the future, we’ll additionally support pivot table displays to make data provenance even more transparent.
Capalyze
@jaredl Thank you for your question, JaredL
灵感盒子
@jaredl Thank you for your kind words. Yes, all data can be traced back to the original webpages, and the intermediate data also includes computational processes. The final reports and charts are generated based on both the intermediate data and the original data, making every effort to minimize AI hallucinations.