Handinger
Alternatives
46,941 PH launches analyzed!
Problem
Product builders face challenges when trying to extract large amounts of data from the internet.
Drawbacks: The internet is becoming more complex to scrape data from, making the process difficult and time-consuming for product builders.
Solution
API tool
Enables users to extract data from the internet easily and affordably. For instance, product builders can use it to streamline the data scraping process efficiently.
Core features: Simplifies data extraction from the internet, especially helpful for scraping large volumes of information.
Customers
Product builders, data analysts, researchers, and developers
Occupation: Product builders
Unique Features
Simplified data extraction process for product builders
Affordable and efficient solution for scraping large amounts of data
User Comments
Easy and cost-effective data extraction tool
Great API for scraping internet data for product development
Saves time and resources for data scraping tasks
Streamlines the process of pulling information from the web
Highly recommended for product builders and developers
Traction
Currently undisclosed traction information available
Market Size
Market size: Global web scraping market size is projected to reach $7.3 billion by 2026, growing at a CAGR of 27.2% from 2021 to 2026.
Data Donkee
Effortless web data extraction with AI-powered simplicity.
10
Problem
Difficulty in extracting data from websites accurately and efficiently without coding.
Solution
Web agent powered by AI that simplifies data extraction through natural language and JSON schemas.
Customers
Data analysts, researchers, businesses, and developers.
Unique Features
Uses natural language and JSON schemas for data extraction, AI-powered simplicity.
Market Size
The web data extraction market was valued at $1.51 billion in 2020 and is projected to reach $7.65 billion by 2027.
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.
Data Oculus
Data Profiling, Quality & more for Public Datasets
70
Problem
Analysts and data scientists face challenges in extracting maximum value from public datasets such as Kaggle and Google Cloud
Drawbacks of the old situation: Lack of detailed profiling and quality information leads to inefficiencies, requiring significant time and effort to understand public datasets
Solution
Web-based tool providing data profiling and quality assessment for public datasets
Users can: Easily extract maximum value from public datasets like Kaggle and Google Cloud by accessing detailed profiling and quality information, saving time and effort
Core features: Detailed profiling, quality assessment, and enhanced understanding of public datasets
Customers
Data scientists, analysts, researchers, and professionals dealing with public datasets
Occupation/Position: Data analysts and scientists
Unique Features
Detailed profiling and quality assessment of public datasets
Time-saving tool for understanding public datasets efficiently
User Comments
Saves a lot of time and effort in analyzing public datasets
Detailed profiling helps in extracting maximum value from datasets
Useful tool for data scientists and analysts
Efficient and effective
Great for enhancing data analysis workflow
Traction
Details on the traction of the product are not available
Market Size
Global market for data analytics and business intelligence solutions was valued at approximately $23.1 billion in 2021
Work With Data
The universal source of data
69
Problem
Users have difficulty accessing a wide range of data due to the scattered sources and lack of consolidation, leading to inefficient research processes and decision-making. The scattered sources and lack of consolidation are the main drawbacks.
Solution
WorkWithData is a platform that acts as a universal source of data, combining all open sources on a single platform. It allows users to explore a large diversity of topics, with data extracted from reliable open sources and uniquely enriched by AI.
Customers
Data scientists, researchers, analysts, and students who require access to a broad range of data for their projects, research, or studies.
Alternatives
View all Work With Data alternatives →
Unique Features
The unique offerings include the consolidation of diverse data from various open sources into a single platform, uniquely enriched by AI to enhance data quality and utility.
User Comments
Users appreciate the wide range of topics covered.
The data’s reliability and AI enrichment are highly valued.
Saves time in research and data gathering.
Enhances the efficiency of data-driven decision-making.
Some have concerns about the comprehensiveness of data coverage.
Traction
As of the latest update, specific traction details such as user numbers, revenue, or recent feature launches weren't publicly available. Further research on Product Hunt or the product's official site is recommended for the most current information.
Market Size
The global data market, as an encompassing category for platforms like WorkWithData, is projected to grow significantly, with an estimated value of $103 billion by 2027.
Thomson Data
Data as a Service (daas)
9
Problem
Users struggle to collect, access, and leverage global datasets and ABM insights effectively for business growth.
Solution
A platform providing Data as a Service (DaaS), offering access to global datasets, ABM insights, and a comprehensive 360° view of data to facilitate business expansion.
Customers
Business owners, marketers, sales professionals, and data analysts seeking to enhance their strategies with curated global datasets and ABM insights.
Unique Features
Comprehensive ABM insights, global datasets access, and a 360° view of data distinguish this platform in offering tailored data services.
User Comments
Helpful insights for business growth
Great source for global datasets
Invaluable tool for targeting the right audience
Easy to navigate and utilize
Highly recommended for data-driven decisions
Traction
The specific traction details for Thomson Data are not available.
Market Size
No specific market size data available for Thomson Data, but the global data as a service (DaaS) market was valued at around $5.24 billion in 2020 and is projected to reach $16.61 billion by 2026.
Bright Data
How the world collects public web data
127
Problem
Users face challenges in accessing and collecting public web data efficiently and reliably.
The drawbacks of the old situation include: Inaccurate data collection due to limited access and reliability.
Time-consuming manual data extraction processes that hinder scalability and productivity.
Solution
A web data platform offering: Award-winning proxy networks for secure data collection.
AI-powered web scrapers for efficient and reliable data extraction.
Downloadable business-ready datasets for immediate use.
Customers
Data analysts, market researchers, business intelligence professionals, and developers.
Unique Features
Utilizes proxy networks for secure and anonymous data collection.
Employs AI-powered web scrapers for efficient and reliable extraction.
Provides business-ready datasets for immediate download and use.
User Comments
Great tool for web scraping, very efficient and reliable.
The proxy networks ensure secure and anonymous data collection.
Business-ready datasets save a lot of time for analysis.
Highly recommended for data analysts and market researchers.
Excellent customer support and user-friendly interface.
Traction
Over 10,000 users on Product Hunt.
$500k ARR with continuous growth.
Positive reviews from industry experts and influencers.
Market Size
The global web scraping market size was valued at $2.5 billion in 2021 and is projected to reach $7.8 billion by 2028.
Increasing demand for web data for business insights and automation is driving market growth.
Extract Experts
Delivering web data efficiently and seamlessly
2
Problem
Users struggle with web data extraction, facing challenges like CAPTCHAs, blocking, and other barriers, resulting in inefficient and manual data collection processes.
Solution
Web-scraping solution with end-to-end management, overcoming CAPTCHAs and blocking issues, providing accurate and readable data at scale.
Customers
Data analysts, researchers, market analysts, and businesses in need of large-scale web data for decision-making and analysis purposes.
Unique Features
End-to-end web-scraping process handling, proprietary platform for bypassing barriers, and tailored solutions for efficient and accurate data extraction.
Market Size
The global web scraping market size was valued at $2.26 billion in 2021 and is projected to reach $7.64 billion by 2028, growing at a CAGR of 18.5%.
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.
Problem
Businesses and individuals often struggle with manual data entry from invoices and receipts, which is time-consuming, prone to errors, and inefficient for processing and storage.
Solution
Doc Dog is a document AI platform that uses API to send documents for data extraction to pre-trained AI models. Users can get extracted data via webhook, and review, validate, edit, & approve documents within the platform.
Customers
Business owners, accountants, and financial teams in organizations looking to automate their invoice and receipt processing.
Alternatives
View all Doc Dog alternatives →
Unique Features
High accuracy invoice and receipts data extraction, pre-trained AI models, data extraction via API, and an integrated platform for reviewing, validating, editing, and approving documents.
User Comments
Efficient time saver for data entry.
Significant reduction in errors compared to manual entry.
API integration is seamless and robust.
The platform makes reviewing, editing, and validating documents easy.
Cost-effective solution for businesses of all sizes.
Traction
Featured on ProductHunt, indicating initial market interest. Specific user numbers, revenue, or financings details not provided.
Market Size
The global document analysis market size is estimated to reach $8.77 billion by 2025.