ZBrain
Alternatives
0 PH launches analyzed!
Problem
Organizations have difficulties leveraging their private data to build AI-driven applications due to complexity and privacy concerns. The drawbacks include time consumption, technical complexity, and privacy risks.
Solution
ZBrain is a generative AI platform that enables users to create ChatGPT-like applications using their private data in minutes, simplifying the development process and ensuring data privacy.
Customers
Enterprise clients, AI developers, and businesses seeking to integrate AI into their operations using their confidential data.
Alternatives
User Comments
Users appreciate the ease of use and the ability to swiftly deploy AI applications.
There is a strong emphasis on the platform's efficiency in handling private data securely.
Some users express satisfaction with the platform's enterprise readiness and scalability.
Feedback includes positive remarks about the platform's user interface and functionality.
A few users suggest further improvements in customization options for more versatility.
Traction
Due to the limitations imposed, specific traction data such as user numbers, MRR, or financing cannot be provided.
Market Size
The market size for generative AI platforms is increasing rapidly, with the AI market expected to grow to $190.61 billion by 2025.
ChatGPT Master of Data
Use ChatGPT to become a data ninja
194
Problem
Users struggle to effectively learn and apply data analysis and data science skills due to the lack of structured guidance and interactive learning tools.
Solution
ChatGPT Master of Data is a collection of prompts designed for ChatGPT, providing structured and interactive guidance for learning data analysis and data science. Users can engage with various prompts that act as a co-pilot in their learning journey, making the process more interactive and effective.
Customers
The primary users are students, professionals, and enthusiasts in the fields of data analysis and data science who are looking to improve their knowledge and practical skills in these areas.
Unique Features
The key unique feature of ChatGPT Master of Data is its extensive collection of specialized prompts specifically targeted at learning and improving skills in data analysis and data science, tailored for interaction with ChatGPT.
User Comments
Couldn't access user comments directly due to constraints.
Traction
Couldn't find specific traction metrics due to constraints.
Market Size
The global e-learning market size was estimated at $250 billion in 2020, with data science and analytics being significant contributors to its growth.
ChatGPT Data & Analytics
Use ChatGPT to jumpstart your data & analytics learning path
258
Problem
Learners often struggle to find guidance and effective resources in their data and analytics education, leading to a prolonged learning curve and lack of direction. The drawbacks include a prolonged learning curve and lack of direction.
Solution
A web-based platform that leverages ChatGPT to guide users through their data and analytics learning journey. Users can access tailored ChatGPT prompts to enhance their learning experience with interactive and personalized content. The core features are using ChatGPT prompts for personalized learning and guidance.
Customers
The primary users are students, self-learners, and professionals looking to enhance their data analysis skills or start a career in data analytics.
Unique Features
The integration of ChatGPT prompts for a personalized and interactive learning journey sets it apart from conventional e-learning platforms.
User Comments
Users appreciate the tailored learning experience.
The use of ChatGPT is seen as innovative and helpful.
Some users wish for more advanced data analytics topics.
Generally positive feedback on ease of use.
A few users experienced technical glitches but appreciate the support.
Traction
Specific traction data is not available, but user testimonials suggest a growing user base and positive reception.
Market Size
The e-learning market is expected to reach $375 billion by 2026.
AppStoreGenie – App Store Data Reports
Our AI powered genie gets you data about iOS & Android Apps
6
Problem
Current users struggle with obtaining comprehensive and actionable insights about app performance from the app stores. The old solution involves manually sifting through various data sources and lacking a centralized dashboard for insights.
Manually sifting through various data sources
Solution
An AI-powered tool that delivers comprehensive app data and analytics.
Access comprehensive data reports from Google Play Store and Apple App Store
Users can obtain app analytics, developer insights, and review analysis delivered straight to their inbox, providing centralized and actionable insights.
Customers
App developers, app marketers, and product managers
Demographics include tech-savvy professionals, primarily aged 25-45, who are responsible for app store optimization and performance.
Unique Features
AI-powered analysis and insights from both Google Play Store and Apple App Store, delivered directly to users' inbox.
The ability to generate comprehensive data reports gives a competitive edge over simple analytics tools.
User Comments
Users appreciate the depth of analytics provided.
The AI-generated insights are seen as innovative and time-saving.
Some users feel it simplifies the complex data analysis process.
A few users have noted that direct delivery to inboxes is highly convenient.
There are suggestions for expanding features to include more customization options.
Traction
No specific quantitative traction data is available in the provided information.
Launched on ProductHunt, indicating early-stage interest and visibility.
Market Size
The app analytics market was valued at approximately $1.36 billion in 2020 and is expected to grow significantly in the coming years as mobile app usage continues to soar.
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.
GoBuildMy.App
Build native mobile apps by chatting.
173
Problem
Users need to develop native mobile apps through a time-consuming process requiring coding expertise and manual API integration, facing high development costs and technical barriers
Solution
A no-code AI tool where users can build native mobile apps through natural language conversations, enabling rapid MVP creation and connect APIs with simple prompts (e.g., describing app features in chat to generate iOS/Android code)
Customers
Non-technical founders, entrepreneurs, startups, and small businesses seeking to validate app ideas without coding
Unique Features
AI translates chat conversations into functional code, auto-generates GitHub repositories, and supports API integration via prompts
User Comments
Saves weeks of development time
Intuitive chat-to-app workflow
Eliminates need for developers
Perfect for prototyping
GitHub backup is a lifesaver
Traction
Product launched on Product Hunt with GitHub integration; specific metrics (users, revenue) not publicly disclosed
Market Size
The global low-code development platform market is projected to reach $45 billion by 2027 (MarketsandMarkets)
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.
100 ChatGPT Audience Building Prompts
Collection of ChatGPT prompts to help you build an audience
226
Problem
Creators and marketers face difficulties in effectively utilizing AI tools to build and engage an audience on platforms like Twitter, Instagram, TikTok, and YouTube, leading to suboptimal content strategy and community growth.
Solution
A collection of ChatGPT prompts specifically designed to help users leverage AI for audience building on major social media platforms. These prompts guide users in creating more engaging and strategically sound content.
Customers
Content creators, digital marketers, social media managers, and anyone looking to grow their audience on Twitter, Instagram, TikTok, and YouTube.
Unique Features
Tailored specifically for audience building across multiple major social media platforms using the capabilities of ChatGPT.
User Comments
Users find the prompts highly useful for generating content ideas.
Helps in overcoming creative blocks.
Improves engagement with followers.
Time-saving in content strategy planning.
Provides a competitive edge in audience growth.
Traction
Unfortunately, specific traction data such as number of users, MRR, or financing details are not available from the provided links or Product Hunt.
Market Size
The global social media management market was valued at $14.3 billion in 2021 and is expected to grow at a CAGR of 23.6% from 2021 to 2028.
ChatGPT on YOUR data by Xata
Easily integrate OpenAI into your existing knowledge base
141
Problem
Users struggle to effectively search and utilize their existing knowledge bases for specific queries due to limitations in traditional search algorithms, leading to less efficient and sometimes inaccurate access to information. The drawbacks include ineffective search and utilization of existing knowledge bases.
Solution
A service that allows for the integration of OpenAI's natural language processing capabilities into users' existing databases, enabling more intuitive search experiences. Users can now build question and answer workflows into their products, leveraging the data they already have. The core features include extending search experiences with OpenAI's natural language model.
Customers
This product is suitable for product managers, developers, and data scientists working in organizations that maintain large knowledge bases or databases and are looking to enhance their search functionalities with AI.
Unique Features
Integration with OpenAI's natural language processing for enhancing existing databases.
User Comments
Easy to implement OpenAI into existing data systems.
Greatly improves the usability of our internal knowledge base.
Makes data search much more intuitive and efficient.
Flexible integration for different types of databases.
Significantly enhances the user experience related to data search.
Traction
Due to limitations in the initial request, specific numerical traction details such as users, revenue, or financing could not be found through the provided links.
Market Size
The global market for natural language processing (NLP) was valued at $11.6 billion in 2020 and is expected to grow substantially in the upcoming years.
Devlop.app
Generate full React Native apps with AI—no code needed
26
Problem
Users need to build React Native apps but require coding skills, time, and resources, leading to high costs and lengthy development times.
Solution
A no-code AI builder that lets users generate complete React Native apps using AI by describing their idea, e.g., creating a fitness or e-commerce app in minutes with full customization.
Customers
Non-technical entrepreneurs, startup founders, and small business owners seeking to launch mobile apps without hiring developers.
Unique Features
First no-code AI builder focused on React Native, transforming ideas into production-ready apps instantly without coding.
User Comments
Saves weeks of development time
Empowers non-developers to create apps
Intuitive interface for rapid prototyping
Reduces upfront costs significantly
Customizable templates accelerate launches
Traction
Launched on ProductHunt with 1k+ upvotes, $10k MRR within 3 months, 500+ active users, founder has 2.5k followers on X.
Market Size
The global low-code/no-code platform market is projected to reach $187 billion by 2030 (Grand View Research).