json.food
Alternatives
0 PH launches analyzed!
Problem
Nutrition apps currently require manual data entry or rudimentary methods for extracting information from nutrition labels, which can be time-consuming and inaccurate.
Manual data entry or rudimentary methods for extracting information from nutrition labels
Solution
A micro SaaS tool that enables nutrition apps to quickly get structured data from nutrition labels.
Structured data from nutrition labels
Customers
Nutrition app developers and operators, health enthusiasts, and companies in the food and beverage industry looking to improve data accuracy and efficiency in handling nutrition information.
Unique Features
Transforms unstructured nutrition label data into structured formats automatically, increasing efficiency and accuracy compared to manual methods.
User Comments
Users appreciate the efficiency and accuracy in extracting data.
The tool significantly reduces data entry time.
Some users find the integration process straightforward.
There is positive feedback about its impact on app performance.
Users highlight the ease of use of the product.
Traction
Newly launched product, specific user numbers and revenue information not available.
Market Size
The global nutrition apps market size was valued at $1.3 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 23.5% from 2021 to 2028.
Scrapezy - Structured Data Extraction
Extract structured data from public websites and return JSON
12
Problem
Users currently collect data manually from public websites, which can be time-consuming and error-prone with transform any public website into structured data being a major drawback.
Solution
A data extraction tool that allows users to transform any public website into structured data with Scrapezy, providing structured JSON files in seconds. Examples include collecting product listings from e-commerce sites or grabbing contact information from business directories.
Customers
Data analysts, researchers, e-commerce managers, and digital marketers who seek efficient methods for data collection and analysis from public web sources.
Unique Features
The ability to transform any public website into structured JSON with only a URL and prompt is a unique feature that streamlines data extraction processes without requiring technical expertise.
User Comments
Users appreciate the speed and simplicity of data extraction.
Many find the JSON output format convenient for further processing.
Some users mention it saves significant time in data collection.
A few users express minor concerns about prompt accuracy.
Overall, the product is seen as user-friendly and effective.
Traction
The product is newly launched with current traction focused around Product Hunt activity. Number of users or revenue figures are not disclosed publicly yet.
Market Size
The global web scraping software market is projected to grow at a CAGR of 13.6% from 2021 to 2028, reaching $280 million by 2028.

Data Labeling Platform
Manage your computer vision data labeling
202
Problem
Users face challenges in annotating datasets for ML models, particularly in the field of computer vision.
Drawbacks: Manual data labeling is time-consuming, error-prone, and lacks scalability.
Solution
A platform for data labeling specifically designed for computer vision tasks.
Core features: Enables users to upload datasets, track labeling progress, and annotate data efficiently.
Customers
AI engineers, data scientists, and ML practitioners focusing on computer vision projects.
Alternatives
View all Data Labeling Platform alternatives →
Unique Features
Specialized platform tailored for computer vision data labeling tasks.
Efficient tracking of labeling progress for datasets.
Focus on annotation accuracy and scalability for ML model training.
User Comments
Easy-to-use platform for labeling datasets, saves significant time and effort.
Great tool for computer vision projects, helps in streamlining the data annotation process.
Highly recommended for AI engineers and ML professionals working on image recognition tasks.
Intuitive interface and seamless uploading of datasets make data labeling less cumbersome.
Effective solution for managing and tracking data annotation progress.
Traction
Gathering momentum with positive user feedback and increasing adoption among AI engineers.
Growing user base with a steady rise in dataset uploads and labeling activities.
Continuously adding new features to enhance user experience and functionality.
Market Size
$5.5 billion global market size for AI data labeling tools and services in 2021, with a projected growth to $12.4 billion by 2026.

Data Structures Visualizer
Web app that visualizes data structures in action
6
Problem
Users struggle with understanding data structures using traditional static textbooks and materials, which can be insufficient for grasping dynamic concepts.
The old situation lacks real-time visualization and step-by-step interaction, making it difficult to comprehend how operations like insertion, deletion, and traversal work.
Solution
Web app that visualizes data structures in action.
Users can perform operations like insertion, deletion, search, and traversal, understand time complexities, and see how structures evolve.
The app features real-time animations and step-by-step explanations.
Customers
Students, computer science enthusiasts, and educators looking to better understand data structures.
People seeking interactive and visual learning tools to aid in education or teaching.
Unique Features
Real-time animations and interactive explanations of data structures.
Comprehensive coverage of operations such as insertion, deletion, search, and traversal.
User Comments
The app provides great visual learning for data structures.
It simplifies complex concepts into easy-to-understand visuals.
Helps to effectively grasp the idea of data structure operations.
A valuable resource for both students and teachers.
Improves understanding of the intricate workings of data structures.
Traction
Recently launched on ProductHunt.
Gaining attention for its interactive and educational use.
Detailed user interaction is growing due to its visualization abilities.
Market Size
The global market for e-learning and educational technology was valued at approximately $200 billion in 2020, with expected growth driven by increasing demand for interactive and visual learning tools.

Label Studio 1.8.0 Release
Open source data labelling platform for AI model tuning
444
Problem
Data scientists struggle with preparing accurate and diverse training data for fine-tuning large language models (LLMs), which leads to less efficient AI model development and performance issues due to lack of effective data labeling tools.
Solution
Label Studio is an open-source data labeling platform that allows data scientists to label any type of data, integrate machine learning models for automation, and fine-tune LLMs more accurately for AI development.
Customers
Data scientists, AI researchers, and machine learning engineers involved in developing and fine-tuning AI models across various industries.
Unique Features
The capability to label diverse types of data, integration with ML models for semi-automated labeling, and its status as the most popular open-source platform in its category.
User Comments
Highly customizable and flexible
Great for collaborative projects
Supports a wide range of data types
Open-source nature makes it adaptable for various needs
User-friendly interface
Traction
Label Studio 1.8.0 release featured on ProductHunt, widespread adoption identified by being labelled as 'the most popular open-source data labeling platform'.
Market Size
The global AI training dataset market size is expected to reach $4.90 billion by 2027.

JSON Transformer
Effortlessly transform and manipulate JSON data
8
Problem
Users struggle with manually restructuring and transforming JSON data, which is time-consuming and prone to errors.
Solution
A web-based JSON Transformer tool that provides an intuitive and visual interface for users to effortlessly transform and restructure JSON data
Core Features: Visual interface, effortless JSON data transformation, restructuring capabilities
Customers
Data analysts, developers, software engineers, product managers, IT professionals
Alternatives
View all JSON Transformer alternatives →
Unique Features
Intuitive visual interface for JSON data manipulation
Effortless transformation and restructuring of JSON data
User Comments
Saves me so much time and hassle when working with JSON data
Very intuitive and easy to use, even for beginners
Great tool for quickly reformatting JSON data on the fly
Helped streamline our data processing workflow
Highly recommended for anyone dealing with JSON manipulation
Traction
Over 10,000 active users on ProductHunt
Positive reviews and high user engagement
Featured in top product lists on ProductHunt
Market Size
Global JSON transformation tools market was valued at approximately $2.8 billion in 2021

Chat Data Prep by Akkio
The easiest way to transform your data
154
Problem
Users struggle with complex SQL queries and traditional data preparation methods, leading to inefficient data management and prolonged project timelines.
Solution
Chat Data Prep by Akkio is a tool that enables users to clean, prep, and transform data using natural language instructions, eliminating the need for SQL knowledge.
Customers
Data analysts, business analysts, and data scientists who require efficient data preparation without deep technical skills in SQL.
Unique Features
The unique feature of Chat Data Prep by Akkio is its ability to understand and execute data preparation tasks through natural language instructions.
User Comments
Positive feedback on ease of use.
Appreciation for the natural language processing capabilities.
Significant time savings reported.
Positive impact on data analysis projects.
Requests for more advanced features and integrations.
Traction
Launched on ProductHunt with positive feedback, but specific data on users, revenue, or recent developments is not readily available.
Market Size
The global data preparation tools market size was $3.21 billion in 2020 and is expected to grow significantly.

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.

Perigon Data API
Real-time, structured, and contextual data
5
Problem
Users often struggle with accessing and utilizing real-time news and web content data, especially when seeking structured and contextual information. The old solutions may involve manual data collection or unstructured datasets, which can lead to inefficiencies in data processing and analysis. Additionally, existing solutions may not offer the flexibility required for integration with advanced technologies like LLMs.
Solution
A real-time news API that offers structured and enriched data using AI, primed for LLMs. This allows users to access and leverage real-time, organized, and contextually enhanced information, exemplified by efficiently integrating with machine learning models and enhancing data-driven decision-making.
Customers
Data scientists, analysts, AI developers, and researchers looking to leverage real-time data for improved insights and decision-making. Industries include technology, finance, and media, largely based in data-driven environments where enriched information is crucial.
Alternatives
View all Perigon Data API alternatives →
Unique Features
This product offers real-time data that is structured and enriched by AI, making it especially primed for leveraging with LLMs, which sets it apart from traditional news APIs that may not provide the same level of data enrichment or real-time capabilities.
User Comments
Users appreciate the real-time access to structured data.
The API's integration with AI technologies is beneficial.
Some users find the API's contextual data enrichment useful for LLM applications.
The platform provides a powerful tool for data ingestion.
A few users have requested more customization options.
Traction
Since launching on Product Hunt, it's gained positive attention as a real-time news and web content data API, although specific metrics like number of users or revenue are not mentioned.
Market Size
The global big data and business analytics market size was valued at approximately $198.08 billion in 2020 and is projected to reach $448.12 billion by 2026, indicating a large and growing potential market for real-time data APIs like Perigon.

gpt structure
gpt structure
3
Problem
Users struggle to manually frame precise and effective prompts for GPT, leading to inconsistent or inaccurate outputs in tasks like data formatting, content creation, and image generation.
Solution
A structured question template tool that provides predefined frameworks for GPT interactions, enabling users to generate clean data outputs, precise content, and formatted responses across multiple use cases (e.g., converting unstructured text into tables, creating image prompts).
Customers
Content creators, data analysts, researchers, and professionals who regularly use GPT for tasks requiring structured outputs but lack prompt engineering expertise.
Unique Features
Pre-built templates for diverse GPT use cases (e.g., data formatting, creative writing, image generation) that enforce output consistency and reduce trial-and-error prompting.
User Comments
Saves time on prompt engineering
Improves GPT output accuracy
Simplifies complex data formatting
Useful for non-technical users
Enhances creative workflow efficiency
Traction
Launched on ProductHunt in 2023 (exact metrics unspecified). No disclosed revenue or user count; positioned as a niche tool for GPT optimization.
Market Size
The global natural language processing (NLP) market, which includes GPT optimization tools, is projected to reach $16.5 billion by 2026 (MarketsandMarkets, 2021).