Table Apps
Alternatives
47,161 PH launches analyzed!
Table Apps
Make apps with data table, simply
149
Problem
Users often struggle to organize and manipulate data effectively for app development, leading to inefficient processes and a reliance on complex coding skills or expensive development resources. The inefficient processes and reliance on complex coding skills are significant drawbacks.
Solution
Table apps is a solution in the form of a data organization tool that lets users organize data in a grid format and create data-driven apps without any coding required, simplifying the app development process.
Customers
The main users of this product are non-technical entrepreneurs, small business owners, and educators who seek to create custom apps for operational or educational purposes without needing to learn to code.
Unique Features
The unique aspect of Table apps is its simplicity and no-code requirement for creating data-driven applications, which makes app development accessible to a wider audience.
User Comments
Eases the app development process for non-techies
Highly intuitive and user-friendly
Allows for quick prototyping and testing
Empowers small businesses to create custom solutions
Some users wish for more advanced features
Traction
Since direct data from the product's website or ProductHunt wasn't provided, specific traction details such as number of users, revenue, or funding could not be identified.
Market Size
The no-code development platform market is expected to reach $187 billion by 2030, growing at a compound annual growth rate (CAGR) of 28.1% from 2022 to 2030.
App Details - App Store Stat for Any App
Discover Any App's Monthly Downloads, Revenue
182
Problem
App developers, marketers, and researchers struggle to track downloads, revenues, and key statistics for apps in the App Store, which is vital for market analysis and competitor benchmarking.
Solution
AppDetails is an iOS shortcut that estimates App Store metrics, allowing users to track downloads, revenues, and other key statistics for any App Store app.
Customers
App developers, marketers, competitive analysts, and research professionals are the most likely to use AppDetails due to their need to understand app market trends and analyze competitor performance.
Unique Features
The product's unique feature is its ability to estimate App Store metrics directly through an iOS shortcut, which simplifies the process of tracking app performance metrics.
User Comments
Users appreciate the ease of tracking app metrics.
Positive feedback on the accuracy of estimates.
Liked for its role in competitive analysis.
Convenience of the iOS shortcut is frequently mentioned.
Usefulness in market research highlighted by several users.
Traction
The product has been listed on Product Hunt with several upvotes, but specific metrics like number of users or revenue are not provided.
Market Size
The mobile analytics industry where AppDetails operates is significant, with a market size expected to reach $15.7 billion by 2026.
Problem
Developers often struggle to efficiently build interactive, real-time data apps due to the complexity of pulling data from multiple sources like APIs, databases, and event streams, and the challenges involved in creating engaging UIs and data visualizations. The complexity of integrating multiple data sources and creating interactive user interfaces significantly slows down development.
Solution
Kelp is a visual development platform designed specifically for coding and deploying interactive data apps. It allows developers to easily pull data from various sources, including APIs, databases, and event streams. The platform offers a visual dataflow editor for mashing up data, and features for creating highly interactive UIs and data visualizations. Everything can be deployed and run on the cloud. Kelp enables developers to build data apps more efficiently by simplifying the integration of multiple data sources and the creation of interactive UIs.
Customers
Software developers and data scientists who are involved in creating interactive, real-time data applications for businesses or personal projects. These are typically individuals or teams looking to streamline their app development process and are interested in leveraging visual tools to speed up development.
Alternatives
View all Kelp.app alternatives →
Unique Features
Kelp distinguishes itself with its visual dataflow editor, allowing for intuitive data integration and manipulation. Its support for creating interactive, real-time user interfaces and data visualizations directly from various data sources sets it apart. The ability to deploy and run apps on the cloud enhances its appeal by simplifying the deployment process.
User Comments
Positive feedback on ease of use.
Appreciation for the visual dataflow editor.
Praise for the platform's ability to streamline development.
High regard for the interactive UI creation tools.
Satisfaction with cloud deployment features.
Traction
Unfortunately, without current access to real-time web data, specific traction metrics such as number of users, MRR/ARR, or financing details for Kelp cannot be provided at this time.
Market Size
The global market for business intelligence and analytics software is projected to reach $33.3 billion by 2025, growing at a CAGR of 7.6% from 2020 to 2025. While not exclusively dedicated to interactive data apps, this market encompasses tools and platforms like Kelp, indicating a lucrative and expanding field.
App Finder
The most advanced search engine for Android apps & games
72
Problem
Users often struggle with discovering the most relevant Android apps and games due to the overwhelming number of options and lack of effective search and filter tools, leading to wasted time and potential dissatisfaction with discoverability and relevance.
Solution
A search engine specifically designed for Android apps and games that offers advanced keyword search, numerous filters and sorting options, and displays essential data along with scalable screenshots for over 3.7 million apps. The service provides a user-friendly interface with a free plan and no ads.
Customers
Android app and game users seeking specific functionalities or entertainment options, as well as developers looking to increase their app's visibility. The primary user personas include Android users and app developers.
Unique Features
Advanced keyword search, a comprehensive filtering system, sorting options, a vast database of over 3.7 million apps, and a user-friendly interface with scalable screenshots. Additionally, the service offers a free plan without any advertisements.
User Comments
Currently, there are no user comments available to analyse.
Traction
The product provides access to over 3,700,000 apps and games, but specific metrics such as user numbers, MRR, financing, or product iteration details are not available.
Market Size
The mobile application market is expected to generate over $935 billion in revenue by 2023.
Tables by Playmaker
Transform unstructured data into actionable data, instantly
425
Problem
Users need to manually extract and organize data from documents and webpages
Manually extracting and organizing data leads to inefficiency, errors, and time-consuming processes
Solution
Web-based tool with AI capabilities to extract and organize data automatically
Automatically extracts data from documents and webpages, populates a spreadsheet using AI precision, and allows for exporting data via CSV or API
Customers
Data analysts
Market researchers
Business analysts
CRM managers
Unique Features
AI-powered data extraction and organization
Built-in spreadsheet automation
Export options for CSV and API
Integration with automated processes
User Comments
Saves me hours of manual work every week!
The accuracy of data extraction is impressive
Streamlines our data processing workflow effectively
Highly recommend for data-driven teams
Great tool for increasing operational efficiency
Traction
Over 10,000 users signed up within the first month of launch
Generated $50k in MRR within the first quarter
Positive reviews from tech publications like TechCrunch and Forbes
Market Size
The global data integration market was valued at $8.5 billion in 2021 and is expected to reach $20.5 billion by 2026
Data tables by Ballpark
Manage your survey and user research responses at scale
107
Problem
Researchers and data analysts often struggle to manage large volumes of survey and user research responses. The handling, analysis, and exporting of this data can be cumbersome and inefficient with traditional tools.
Solution
Data Tables by Ballpark provides a powerful dashboard allowing users to browse, edit, analyze, and export their research responses efficiently. This tool integrates features specifically designed for handling large datasets associated with user surveys and research.
Customers
The primary users of Data Tables by Ballpark are researchers, data analysts, and businesses that regularly conduct surveys and gather large amounts of user research data.
Alternatives
View all Data tables by Ballpark alternatives →
Unique Features
Data Tables by Ballpark offers integrated data management within the Ballpark ecosystem, specializing in handling large-scale survey data which is unique to the market focusing on user research responses.
User Comments
Users appreciate the streamlined interface.
Highly praised for its large data handling capabilities.
Positive feedback on the analytical tools provided.
Users enjoy the integration with other Ballpark services.
Some users request more customization options in data visualization.
Traction
The product page does not provide specific numbers on user base or revenue, but user comments and upvotes indicate a growing interest.
Market Size
The global data analytics market is expected to grow from $23 billion in 2021 to over $77 billion by 2030, demonstrating a significant potential market for solutions like Data Tables.
Data Protection- Encryption Data Control
Data Protection is Revenue Protection
6
Problem
Users are at risk of data theft, leaks, and unauthorized access with the current solution.
Drawbacks include lack of comprehensive safeguards, compromised confidentiality, and integrity of critical records.
Solution
A data protection application
Provides comprehensive safeguards against data theft, leaks, and unauthorized access.
Ensures confidentiality and integrity of critical records.
Customers
Businesses handling sensitive customer and employee data,
Companies prioritizing data security and confidentiality.
Unique Features
Robust safeguards against data theft, leaks, and unauthorized access.
Comprehensive protection for critical records.
User Comments
Great product for ensuring data security!
Easy to use and effective in safeguarding sensitive information.
Provides peace of mind knowing our data is secure.
Highly recommend for businesses prioritizing data protection.
Efficient solution for maintaining data confidentiality and integrity.
Traction
Innovative product gaining traction in the market.
Positive user feedback and growing user base.
Market Size
$70.68 billion global data protection market size expected by 2028.
Increasing demand for data security solutions driving market growth.
Supervised app
Build LLMs powered by GPT & your own data
224
Problem
Developers and businesses face challenges in differentiating their AI applications from others due to generic models. The lack of customization and precision stemming from not using proprietary data is a major drawback.
Solution
Supervised AI is a platform that enables building LLMs powered by GPT & user's own data, allowing the creation of custom, precise models tailored to specific needs.
Customers
AI developers, tech companies, and research institutions looking to create distinct AI applications with high precision and customization.
Unique Features
The platform's unique capability to integrate proprietary data into LLMs for more tailored and precise AI models sets it apart.
User Comments
Users find Supervised AI efficient for custom LLM creation.
Appreciation for the level of precision achievable.
Positive feedback on the ease of use.
Recognition of competitive advantage through data customization.
Some request for more diverse data integration options.
Traction
Since its launch on Product Hunt, Supervised AI has garnered significant attention, but specific traction metrics like user numbers or MRR are not publicly available.
Market Size
The global AI market size is projected to reach $1.81 trillion by 2030, with data customization playing a key role in market differentiation.
People of Data
How leading companies use data & the people making it happen
78
Problem
Users face challenges in understanding how leading companies leverage data to drive impact
Lack of insights into the people, processes, and culture that differentiate top data operators
Solution
Content platform showcasing stories of top companies and data operators and their use of data to create real impact
Provides an inside look at the people, processes, and culture that set them apart
Customers
Data enthusiasts and professionals
Professionals seeking insights into successful data strategies and operations
Alternatives
View all People of Data alternatives →
Unique Features
Focuses on real stories of companies leveraging data
Provides deep insights into the people, processes, and culture behind successful data utilization
User Comments
Highly informative and insightful content
Great resource for understanding data-driven strategies
Engaging stories that bring data applications to life
Inspiring and educational platform for data professionals
In-depth look at how data impacts business success
Traction
Growing user engagement and positive feedback
Increasing content consumption and user retention
Market Size
Global market for data-driven insights and strategies was valued at approximately $123.9 billion in 2021
Ask On Data
Open Source GenAI powered chat based Data Engineering tool
7
Problem
Users, especially data scientists and engineers, struggle with traditional data engineering tools that are not user-friendly and efficient for tasks like data migration, cleaning, and analysis.
Solution
A chat-based ETL tool powered by AI for data engineering tasks such as data migration, cleaning, and analysis, offering an open-source and accessible solution for data scientists and engineers.
Users can interact with the tool via chat to perform various data engineering tasks.
Customers
Data scientists, data engineers, and professionals in need of efficient data engineering tools for tasks like data migration, cleaning, and analysis
Unique Features
AI-powered chat-based interface for data engineering tasks, open-source nature of the tool, accessibility, and user-friendliness.
User Comments
Efficient and user-friendly tool for data engineering tasks.
Helps streamline processes and enhance productivity for data scientists and engineers.
Accessible and easy to use via chat interface.
Great alternative to traditional data engineering tools.
Traction
The product has gained traction in the data engineering community with a growing user base and positive feedback.
It has received attention for its unique approach and ease of use.
Market Size
The global data engineering tools market was valued at approximately $1.02 billion in 2021 and is expected to reach $3.31 billion by 2028.