Vizzu is lauded for its animated data storytelling capabilities, engaging presentations, and user-friendly web interface. Users praise its design, functionality, UI, and no-code features for saving time and transforming data into dynamic stories. Key interests include its performance with large datasets, pricing, future extensions, and whether it supports tables. Some users suggest adding more chart templates to further enhance the tool. Overall, Vizzu is highly regarded as a fantastic and useful tool for creating engaging data presentations and insightful graphs.

Users question Vizzu's performance with large datasets. Some users suggest a broader range of chart templates for more diverse visualizations. A collaborative editing feature was requested to enhance teamwork on projects.

Positive feedback

Graphy's Product Hunt launch received overwhelmingly positive feedback, with users praising its data storytelling capabilities, ease of use, and beautiful design. Many highlighted its potential for simplifying data presentation, making insights more accessible and actionable, and improving team collaboration. Users appreciated the intuitive UI, easy data integration (especially with Google Sheets), and the ability to create visually appealing charts quickly. Several long-time users expressed their continued satisfaction and excitement about new features and the product's evolution. Questions were raised about API support, handling large datasets, and enhancing user engagement.

Users expressed concerns about the platform's complexity, particularly for those lacking strong spreadsheet skills or a data analysis background. There are requests for deeper integrations with tools like Figma and Notion, as well as web analytics for shared links and more advanced AI features. Suggestions included more chart types, such as scatter plots, and addressing issues like disappearing data labels. One user voiced a concern about the team's attention span, wondering about the product's long-term vision. Tailoring graphs for non-specialists and intuitiveness were also questioned.

Users commented on Anthropic's polished release and chat paradigm but noted UI configurability issues. There's anticipation for future AI features in software platforms. The tool's data manipulation capabilities, low code UI, and auto-cleaning are praised, but there are concerns about data transformation validity and AI accuracy. Some find LLM approaches easier and are excited to try the tool, while others are underwhelmed by inconsistent results and overconfidence in AI output. Suggestions include seeding LLMs with books and adding SQL database connections. The open source version is appreciated.

Users criticized the product for its lack of configurability, particularly in chart creation and the IDE's column operations. The reliance on chat-based LLMs without standalone AI products and the use of agents for sorting were seen as shortcomings. Concerns were raised about the product's handling of missing libraries, risk of LLM hallucinations, and inconsistent results. Users also questioned the audience's understanding of the code, human accuracy, and the reliability of AI outputs, which could negate productivity gains. Additionally, there was no option to seed LLMs with specific books.

The Product Hunt launch is receiving positive feedback, particularly regarding its data visualization capabilities and comprehensive suite of tools. Users appreciate the AVA framework for simplifying visual analysis. There's excitement about the mobile-friendly F2 engine's flexibility. A suggestion was made for interactive visualizations with zooming and filtering to enhance user experience. A question was posed about the background needed to use visual thinking skills.

The primary criticism is the absence of interactive visualization features, such as zooming and filtering capabilities. This limits the user's ability to explore the data in detail and customize the view according to their specific needs.

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Users find the product interesting and are comparing it to existing tools like rill-developer, Tableau, and PivotTable.js. There's a concern about potential patent conflicts with Tableau/Salesforce. Some users express surprise and frustration over the patentability of data visualization ideas, suggesting that the patent system is flawed. There's interest in contributing to the project, and a request for source information. One comment has been flagged for review.

Users criticized the Show HN product for its similarity to existing tools like rill-developer, raising concerns about potential patent issues with companies like Tableau/Salesforce. They argued that patents should not cover easily conceived ideas and expressed a broader critique of the patent system, including its definition of 'obvious.' Additionally, there was a call for sources to support claims.

Users generally find the Show HN product/service innovative, comparing it favorably to GitHub, Airtable, and Reddit, and appreciating its potential for affiliate commissions and community-driven databases. Concerns were raised about monetization, UI for item comparison, and the need for features like grid view, export/API, and search filters. The name 'dolt' sparked a discussion on language and reclaiming words. Some users provided suggestions for improvements, such as using JSON(b) columns in Postgres, and there was a mention of an emotional reaction to the product. One comment was deleted.

Users criticized the product 'dolt' for its name, likening it to 'stupid person,' and for being too similar to Git for data. Criticisms include a lack of import options, accountless collaboration, and alternative signup methods. Concerns were raised about open databases potentially becoming paywalled, unclear monetization and future pricing, and the absence of a grid view, export/API features, and a list view. The interface for comparing items and the database list were deemed unclear and clunky, and the databases themselves appeared too commercial. Suggestions included using JSON(b) columns and noting Reddit's delayed implementation.

Kelp.app receives praise for its fast, clean, and logical UI, great UX, and potential for data analysis and dashboard creation. Users express excitement and plan to integrate it into their stacks. Many offered congratulatory comments, expressing support and pride for the product. A concern was raised about the absence of pricing information, especially regarding production use.

The primary criticism revolves around the absence of pricing information. Users are concerned about the lack of clarity regarding costs.

Pricing page doesn’t show prices

Pricing page lacks prices

Evidence's Product Hunt launch received positive feedback for its SQL data visualization, interactivity, and chart creation speed, simplifying data engineer/analyst tasks. Users find it suitable for client presentations. Questions arose regarding integration with BI tools, workflow migration, SQL dialect transition ease, cache layer creation, size limits, and runtime speed. Several users congratulated the Evidence team on the launch.

Users express concerns about performance, particularly with large datasets. The slow runtime during report generation with substantial amounts of data is a key criticism. This negatively impacts the product's usability for users dealing with extensive data.

Users generally appreciate the project, with several congrats and positive remarks about its coolness and beauty, particularly noting the commit history visualizer. However, there are notable issues with message visibility, input elements, repo loading, and API rate limits. Suggestions include adding a scroll message, improving language chart criteria, using bubble packing for dimensions, and implementing one-click visualization. Mixed experiences were reported across different browsers and platforms, with some users unable to access content or having the project not work at all.

Users reported issues with no loading indicators, insufficient input box size and missing pie chart legend. They also noted the need to type in both input boxes to trigger examples, problems with repository loading due to API rate limits, and the necessity to scroll to view results. Additionally, functionality issues were mentioned for Chrome and Firefox, and there was general dislike for the project.

Instorier's Product Hunt launch received overwhelmingly positive feedback, with many users congratulating the team and praising the tool's storytelling capabilities and ease of use. Users find the software amazing and the results beautiful. Several comments highlighted the potential for engaging users and building community through storytelling. Suggestions included offering a free tier for personal sites with attribution, and differentiating Instorier through pricing and unique features. The 3D editing capabilities was also appreciated. One user expressed interest in using Instorier for their Your Price Booking project.

Users criticize the product's high price, deeming it too expensive, especially when compared to competitors with pricing reported as 10x higher, and the absence of a clear justification for this cost. The lack of a custom model upload option was noted. Some users found the website's design unremarkable, resembling a generic parallax site, and expressed uncertainty about what differentiates the product from others.

Users find the $350/month pricing too high, suggesting a need for more affordable options, especially for corporate clients. Mobile user experience is criticized, particularly the scrolling on landing pages. The product's design is praised, but there are concerns about performance across different devices and browsers. Some users question the value and business model, while others see the pricing as indicative of market segmentation targeting wealthier customers. There are also comments on the product's versatility and a humorous biblical reference to its future.

Users criticized the product for its high cost, with specific mentions of the $350/month pricing and $4.2k/year for 5 pieces being too expensive. There were also complaints about the user interface, including scrolling speed issues, skipping sections during vertical scrolling, and poor legibility on text-heavy pages with moving backgrounds. Concerns were raised about the product's performance across different devices and browsers. Additionally, users felt that the landing page and demos failed to demonstrate the product's value effectively.