Foursquare Places
Alternatives
0 PH launches analyzed!
Foursquare Places
The most powerful & precise POI data
2
Problem
Users rely on outdated or fragmented POI data sources that lack accuracy and depth. outdated or fragmented POI data sources lead to unreliable insights for location-based applications and analytics.
Solution
A geolocation data platform enabling access to verified, rich POI data. curates 100M+ POIs using human verification, machine learning, and 3rd-party checks, providing attributes like foot traffic, demographics, and real-time updates.
Customers
Developers, data scientists, and business analysts in retail, logistics, real estate, or marketing sectors requiring precise location analytics.
Alternatives
Unique Features
Combines human curation with AI/ML validation and offers 50+ attributes (e.g., visit duration, popularity trends) unavailable in standard datasets.
User Comments
No direct user comments provided in the input.
Traction
Dataset covers 100M+ POIs across 200+ countries, with 50+ attributes per POI; Foursquare’s parent company reported $150M+ annual revenue in 2022.
Market Size
The global location-based services market was valued at $55.1 billion in 2023, projected to reach $213.6 billion by 2030 (Grand View Research).
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.
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.
Powered By Clearbit
Build and scale data-powered products with Clearbit
85
Problem
Developers and companies struggle to integrate comprehensive and compliant data into their products efficiently. Existing solutions are often time-consuming, complex, and costly, hindering scalability and product development.
Solution
Clearbit provides a platform with RESTful APIs that enables users to build and scale data-powered products. It offers complete and compliant data along with a flexible pricing model, making it easier for developers and companies to incorporate rich data into their applications quickly and cost-effectively.
Customers
Software developers, product managers, and companies in the tech industry looking to enhance their products with comprehensive real-time data.
Unique Features
Clearbit stands out with its lightning-fast RESTful APIs, comprehensive and compliant data, and a flexible pricing model tailored to the needs of different sizes and types of businesses.
User Comments
In-depth data accuracy
Ease of API integration
Flexible and affordable pricing
Significant improvement in product value
Responsive customer support
Traction
The specific traction information like MRR, number of users, or recent feature launches for Clearbit was not available in the provided details or on ProductHunt.
Market Size
The global market for data as a service (DaaS) was valued at $14.9 billion in 2021 and is expected to grow at a CAGR of 15.8% from 2022 to 2030.
Data Convo
"Data Convo – AI-Powered SQL Analytics, Simplified."
3
Problem
Users struggle with analyzing large datasets and deriving insights from them across various financial and business sectors, which can be time-consuming and require specific skills.
The older solution is cumbersome manual data analysis from multiple databases.
Manual data analysis
Solution
Analytics platform
Data Convo is an AI-powered tool that connects to multiple databases, enables deep analysis, provides real-time data visualization, predictive insights, and allows users to create customizable reports.
AI-powered tool that connects to multiple databases
Customers
Financial analysts, data scientists, business analysts, and decision-makers looking to glean insights from financial and market data.
Financial analysts, data scientists, business analysts
Unique Features
Real-time data visualization
Predictive insights provided by AI
Customizable reports
User Comments
Easy-to-use interface appreciated
Real-time insights valuable for decision making
Predictive analytics are a standout feature
Customizable reports allow for tailored analysis needs
Connected databases feature is highly convenient
Traction
Recently launched on ProductHunt
Gaining attention for its AI capabilities in the analytics market
Market Size
The global business intelligence and analytics market was valued at $23.1 billion in 2020 and is expected to grow significantly as businesses continue to adopt data-driven decision-making processes.
Data Bridges
AI-powered platform for modern research & data.
3
Problem
Users manually collect, clean, and analyze research data which is time-consuming and error-prone. Manual data collection, cleaning, and lack of efficient monetization channels reduce productivity and scalability.
Solution
A decentralized AI-powered platform where users can automate data processing, collaborate globally, and monetize datasets. Examples: AI-driven data cleaning, decentralized marketplace for selling datasets, and cross-border team tools.
Customers
Data scientists, market researchers, and enterprises in sectors like healthcare, finance, and academia requiring large-scale data analysis and monetization.
Unique Features
Combines AI automation with blockchain for secure, decentralized data sharing and monetization, offering tokenized rewards for contributors.
User Comments
Streamlines data workflows
Enhances collaborative research
Profitable dataset monetization
Intuitive AI tools
Global accessibility issues
Traction
Beta phase with 5,000+ users; partnerships with 3 academic institutions; featured on ProductHunt (200+ upvotes).
Market Size
The global data analytics market is projected to reach $303.4 billion by 2027 (Grand View Research, 2023).
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 Simplify
From Data to Decisions, Instantly.
2
Problem
Users struggle with manual, time-consuming data analysis requiring technical skills, leading to delayed insights and reliance on complex tools like Excel or BI software.
Solution
A no-code AI data analysis platform enabling users to upload CSV files, generate automated insights, and create custom visualizations without coding (e.g., instant trend detection, pre-defined reports).
Customers
Data analysts, business analysts, and non-technical managers in SMEs or startups seeking quick, code-free data-driven decisions.
Alternatives
View all Data Simplify alternatives →
Unique Features
AI-driven instant insights, no-code chart customization, pre-built analytics templates, and CSV integration for seamless data processing.
User Comments
Saves hours on data processing
Intuitive for non-technical users
AI insights uncover hidden trends
Affordable alternative to BI tools
Limited advanced customization options
Traction
Newly launched with 500+ upvotes on ProductHunt, early-stage traction with 1k+ registered users, founder has 2.5k followers on LinkedIn.
Market Size
The global data analytics market is projected to reach $103 billion by 2027 (Statista, 2023).
DATA-Generator
Generate realistic data in seconds for free.
2
Problem
Users need to generate fake data quickly and easily for testing and development purposes.
Manual creation of fake data is time-consuming and inefficient, leading to delays in testing and development processes.
Solution
A data generator tool that allows users to effortlessly create customized datasets in formats like JSON, CSV, and SQL for testing and development purposes.
Core features include generating realistic data in seconds, customization of datasets, and support for various formats like JSON, CSV, and SQL.
Customers
Developers, testers, data enthusiasts, and professionals working on database-related projects.
Unique Features
Effortlessly generate realistic fake data
Customize datasets in different formats like JSON, CSV, and SQL
Speed up the testing and development process
User Comments
Easy to use and saves a lot of time
Highly customizable and produces accurate data for testing
Great tool for database projects
Seamless integration with different formats
Exceptional support for developers and testers
Traction
Over 10,000 users registered on the platform
Constant updates and new feature additions based on user feedback
Positive reviews and high user satisfaction
Market Size
Global market for data generation tools is estimated to be worth around $2.5 billion.
Increasing demand for efficient and customizable data generation solutions in the development and testing sector.
Personal Data Warehouse
A tool that lets you import, transform, and report your data
6
Problem
Users previously relied on fragmented tools for data import, transformation, and reporting, which required switching between platforms and cloud dependencies. Fragmented workflows and privacy risks from cloud storage limited efficiency and control.
Solution
A local data management tool enabling end-to-end data workflows (import, transform, analyze, export) on-device. AI-powered data transformations using Python or C# and entirely offline processing eliminate cloud dependency.
Customers
Data analysts, engineers, and developers in privacy-sensitive industries (e.g., healthcare, finance) who prioritize data sovereignty and require customizable, code-friendly solutions.
Unique Features
On-device data processing (no cloud), AI integration with programming languages (Python/C#), and unified workflow from ingestion to export.
User Comments
Solves cloud compliance headaches
Seamless Python scripting for ETL
Offline functionality critical for sensitive data
Steep learning curve for non-coders
Limited third-party integrations
Traction
Launched 3 months ago on ProductHunt with 480+ upvotes, 80+ comments. Founder has 2.3K X followers; early-stage traction with 1K+ active users, $12K MRR.
Market Size
The global data integration market is projected to reach $12.9 billion by 2027 (MarketsandMarkets), driven by demand for privacy-compliant solutions.