People Dataset
Alternatives
0 PH launches analyzed!

People Dataset
Full people data on hundreds of millions of profile
536
Problem
Users need access to comprehensive people data for AI agents or business tools but rely on manually aggregated, fragmented datasets with incomplete or outdated information.
Solution
A dataset delivered as Parquet files containing billions of datapoints on hundreds of millions of people, refreshed monthly, enabling integration into AI-driven products like sales development tools or recruiting platforms.
Customers
AI developers, recruiters, and investment analysts building data-driven tools for sales, HR, or financial analysis.
Unique Features
Combines scale (hundreds of millions of profiles), regular updates, and Parquet format optimized for big data processing, specifically tailored for AI applications.
User Comments
Valuable for training AI agents; Comprehensive data coverage; Easy integration with Parquet; Monthly updates ensure relevance; Critical for B2B product development
Traction
Launched on ProductHunt (specific metrics undisclosed); Targets enterprises needing bulk data for AI/ML models.
Market Size
The global big data analytics market is projected to reach $345 billion by 2030 (Grand View Research, 2023).

People of Data
How leading companies use data & the people making it happen
78
Problem
Users face challenges in understanding how leading companies leverage data to drive impact
Lack of insights into the people, processes, and culture that differentiate top data operators
Solution
Content platform showcasing stories of top companies and data operators and their use of data to create real impact
Provides an inside look at the people, processes, and culture that set them apart
Customers
Data enthusiasts and professionals
Professionals seeking insights into successful data strategies and operations
Alternatives
View all People of Data alternatives →
Unique Features
Focuses on real stories of companies leveraging data
Provides deep insights into the people, processes, and culture behind successful data utilization
User Comments
Highly informative and insightful content
Great resource for understanding data-driven strategies
Engaging stories that bring data applications to life
Inspiring and educational platform for data professionals
In-depth look at how data impacts business success
Traction
Growing user engagement and positive feedback
Increasing content consumption and user retention
Market Size
Global market for data-driven insights and strategies was valued at approximately $123.9 billion in 2021

Urban Data Dictionary
Your translator for corporate data speak. Duolingo for data.
11
Problem
Data professionals manually decipher corporate data jargon and unclear terms during meetings and documentation, leading to a time-consuming and error-prone process that causes miscommunication and frustration.
Solution
A web-based translation tool that translates corporate data jargon into plain language using a Duolingo-like approach, enabling users to input terms like 'synergy' and receive humorous, context-aware explanations (e.g., 'empty buzzword').
Customers
Data analysts, data scientists, and business analysts in corporate roles; managers and non-technical stakeholders collaborating with data teams.
Alternatives
View all Urban Data Dictionary alternatives →
Unique Features
Combines sarcastic humor with practical translations to make decoding jargon engaging, unlike traditional dry glossaries.
User Comments
Saves time in meetings
Makes jargon relatable through humor
Improves cross-team communication
Easy to integrate into workflows
Reduces misunderstandings
Traction
Launched on ProductHunt (exact metrics unspecified). Founder’s social media presence and engagement not publicly quantified.
Market Size
The global data analytics market is projected to reach $303.4 billion by 2030 (Grand View Research), indicating high demand for tools that streamline data-related communication.
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

HQ Data Profiler
Analyze datasets with 20+ metrics and anomaly detection.
6
Problem
Users are dealing with large datasets stored in various formats like CSV, Excel, Parquet, and JSON. The old solution involves manual inspection and traditional software tools, which are time-consuming and require significant effort to identify data quality issues and anomalies.
The drawbacks include manual inspection and time-consuming processes which make it difficult to efficiently detect and analyze data irregularities.
Solution
A data profiling tool that facilitates an in-depth analysis of datasets.
Analyze datasets with 20+ metrics and anomaly detection using machine learning, allowing users to quickly understand data quality and identify outliers.
Examples include analyzing CSV files for data consistency and using ML-powered tools to spot anomalies in JSON datasets.
Customers
Data Analysts, Data Scientists, Business Intelligence Professionals, and IT Managers
Typically working in organizations with data-driven decision-making processes, requiring efficient data quality assessment and anomaly detection.
Alternatives
View all HQ Data Profiler alternatives →
Unique Features
The use of ML-powered anomaly detection
20+ metrics for comprehensive data analysis
Privacy by processing data directly on the user's device
Compatibility with multiple data formats
User Comments
The tool is easy to use and helps understand data quickly.
Privacy is a key advantage as data processing happens on their device.
The anomaly detection feature is a standout addition.
It supports various data formats which makes it versatile.
Could use more customization options for advanced users.
Traction
Recently launched on ProductHunt
Number of features includes over 20 metrics
Market Size
The global data preparation tools market is projected to reach $3.3 billion by 2026, growing at a CAGR of 19%.

Open People Data
Meet your AI Double!
71
Problem
Professionals often struggle with managing their online identity, which typically involves maintaining multiple profiles and constantly updating them.
The drawbacks of this situation include: managing multiple profiles and constantly updating them.
Solution
A platform that introduces 'AI Doubles' through @opd.email addresses.
Users can use this intelligent layer for seamless online interactions.
Introduce AI Doubles through @opd.email addresses to create an intelligent layer between professionals and the digital world.
Customers
Professionals in tech industries, business sectors, and remote workers.
Tech-savvy individuals who prioritize online presence and identity management.
Unique Features
The use of 'AI Doubles' for creating an intelligent interaction layer.
Using a unique @opd.email address to streamline digital presence.
User Comments
Users appreciate the innovative approach to managing online identity.
Many find the concept of an AI Double intriguing and useful.
Some users express concerns about privacy and data security.
Several users are eager to see how the product will evolve.
Positive feedback on the potential reduction of manual profile updates.
Traction
The product was recently launched on ProductHunt.
No specific quantitative data available regarding user numbers or revenue.
Market Size
The online identity management market was valued at $3.18 billion in 2022, with continuous growth expected.

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 Reclaimer
Extract LinkedIn Data
5
Problem
Users manually search and extract contact details from LinkedIn profiles, which is time-consuming and inefficient, leading to reduced productivity in lead generation and outreach efforts.
Solution
A Chrome extension and SaaS tool that automates LinkedIn data extraction, enabling users to scrape profiles, export contact info, and gain insights for targeted outreach campaigns (e.g., extracting emails and job titles from Sales Navigator searches).
Customers
Sales professionals, recruiters, and marketers who need scalable lead generation for B2B outreach campaigns.
Unique Features
Combines Chrome extension with LinkedIn-specific scraping, integrates directly with Sales Navigator, and provides formatted CSV exports with enriched contact data.
User Comments
Saves hours on prospecting
Easy LinkedIn integration
Accurate email extraction
Useful for cold outreach
Concerns about LinkedIn compliance
Traction
Launched on ProductHunt (specific metrics unavailable in provided data)
Market Size
Global sales automation market valued at $4 billion in 2022 (Grand View Research), with LinkedIn being primary lead source for 89% of B2B marketers (LinkedIn data).

Profile Generator
AI-powered profiles about people, built from videos
6
Problem
Users struggle to gather detailed insights about individuals from their videos, making it challenging to understand preferences, interests, and dislikes.
Solution
An AI-powered tool that analyzes videos to generate detailed, actionable profiles about people, helping users understand individuals better.
Customers
Investors, founders, and influencers looking to gain in-depth insights into individuals' preferences, interests, dislikes, and effective approaches.
Alternatives
View all Profile Generator alternatives →
Unique Features
AI-powered video analysis to create detailed profiles, highlighting preferences, interests, dislikes, and effective communication strategies.
User Comments
Easy-to-use tool for profiling individuals effectively.
Great insights extracted from videos.
Helps in understanding target audiences better.
Time-saving and efficient for generating actionable profiles.
Valuable for investor pitches and influencer engagement.
Traction
Product has gained traction with a positive user response.
Growing user base with increasing usage by investors, founders, and influencers.
Positive reviews highlighting the value of detailed profile generation.
Market Size
Global market for AI-powered profiling tools is projected to reach a value of $13.9 billion by 2028, driven by the increasing demand for detailed individual analysis and personalized insights.

thaink² Data and AI Platform
Thaink², release the full potential of your data
5
Problem
Users need to process, analyze, and utilize data but face coding requirements and fragmented tools, leading to inefficiency and delayed insights.
Solution
A no-code data and AI platform enabling users to clean data, train models, and build reports in one place. Core features: automates tasks, integrates data sources, and simplifies AI implementation.
Customers
Data analysts, business analysts, and non-technical managers in SMEs needing actionable insights without coding expertise.
Unique Features
Unified no-code platform combining data processing, AI model training, and reporting with automated source integration.
User Comments
Simplifies complex data tasks
Saves time on setup
Intuitive for non-coders
Lacks advanced customization
Needs more third-party integrations
Traction
Launched on ProductHunt with 100+ upvotes; specific revenue/user metrics not publicly disclosed.
Market Size
The global data analytics market is projected to reach $271.83 billion by 2032 (Allied Market Research).