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Users rely on outdated or fragmented POI data sources that lack accuracy and depth. outdated or fragmented POI data sources lead to unreliable insights for location-based applications and analytics.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).
ManiFast AI | AI-powered data analytics
Transform and process your data with plain English
7
Problem
Users currently manipulate spreadsheet data using complex formulas or scripts, requiring technical skills like Excel formulas or scripting, which is time-consuming and inefficient for non-technical users.
Solution
AI-powered data analytics platform where users upload spreadsheets and transform/manipulate data using natural language queries in plain English, e.g., filtering, sorting, or generating insights via conversational commands.
Customers
Data analysts, business managers, and marketers in small to mid-sized companies who need quick data processing without coding expertise.
Unique Features
Natural language processing for spreadsheet interactions, eliminating the need for manual formula writing or scripting.
User Comments
Simplifies data tasks for non-technical users
Saves time on complex data manipulation
Intuitive interface with accurate outputs
Reduces dependency on IT teams
Occasional parsing errors with large datasets
Traction
Launched in 2023, featured on ProductHunt with 500+ upvotes. Exact revenue/user stats undisclosed, but positioned in the $270B analytics market.
Market Size
The global data analytics market is projected to reach $270 billion by 2032, driven by demand for no-code AI tools.
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).
Entropy Data
Better Data Products with Data Contracts
7
Problem
Users manage data products manually without a centralized system, leading to inconsistent data quality and fragmented access across organizations.
Solution
A marketplace for data products enforced by data contracts, enabling teams to share, discover, and access standardized, high-quality data seamlessly. Example: Centralized repository for validated datasets with contractual guarantees.
Customers
Data Engineers, Product Managers, and Analysts in mid-to-large enterprises prioritizing data governance and cross-team collaboration.
Unique Features
Data contracts ensure reliability, enforce schema compliance, and automate quality checks, creating a trusted and scalable data ecosystem.
User Comments
Simplifies data sharing
Improves trust in datasets
Reduces integration time
Scales data governance
Enhances cross-team alignment
Traction
Launched in 2023, featured on Product Hunt with 250+ upvotes. Specific revenue or user metrics not publicly disclosed.
Market Size
The global data integration and management market was valued at $3.2 billion in 2023, growing at 13% CAGR (Grand View Research).
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.
FlightPath • Tabular Data Preboarding
A frontend & architecture for controlling data partner feeds
12
Problem
Users managing tabular data feeds from external partners face inefficient manual processes and unreliable data integration, leading to errors and delayed workflows in data lakes/warehouses.
Solution
A frontend & preboarding architecture tool that automates control and standardization of external data feeds. Users can streamline integration with data lakes/warehouses via CsvPath Framework for validation and transformation.
Customers
Data engineers, data architects, and teams in industries like SaaS, fintech, or logistics requiring reliable partner data integration.
Unique Features
Focus on data partner feed governance, offering schema enforcement, error detection, and compatibility with diverse data formats without direct control over sources.
User Comments
Simplifies partner data onboarding
Reduces manual preprocessing time
Improves data lake reliability
Flexible for heterogeneous sources
Lacks native cloud storage integration
Traction
Launched on ProductHunt (details undisclosed). CsvPath Framework integration suggests enterprise adoption potential.
Market Size
The global data integration market is projected to reach $13.3 billion by 2026 (MarketsandMarkets, 2021).