Komori ASO: 3.0.0
Alternatives
0 PH launches analyzed!
Komori ASO: 3.0.0
Smarter ASO. Real data. Real results
4
Problem
Users manually track app store optimization (ASO) metrics and competitors, relying on fragmented tools or manual data collection. Automatic competitor gap analysis in ratings, reviews, updates, and keywords is unavailable, leading to inefficient decision-making and incomplete insights.
Solution
A comprehensive ASO toolkit that enables users to track unlimited keywords, analyze 90+ markets, extract AI keyword insights, study apps, and export data instantly. Examples: AI-powered competitor gap detection, cross-market keyword tracking, and performance scoring.
Customers
Mobile app developers, ASO specialists, and digital marketers focused on app store visibility, particularly those managing apps across multiple regions and languages.
Unique Features
Automates competitor gap analysis across ratings, reviews, updates, and keywords; AI-driven keyword insights and cross-market tracking (90+ markets); real-time ASO performance scoring and data exports.
User Comments
Simplifies keyword tracking across markets
AI insights save hours of manual work
Competitor gap analysis is game-changing
Easy data exports for reporting
Real-time updates improve ASO agility
Traction
Launched on ProductHunt (details unspecified due to limited data), but positioned for app developers needing ASO automation. Founder’s social traction not publicly disclosed.
Market Size
The global mobile app market is projected to reach $935 billion by 2023 (Statista), with ASO tools critical for app visibility and revenue growth.
Captchify: Real Time A/B Tests Made Easy
Optimize faster with real time data driven insights
4
Problem
Users currently conducting A/B tests on e-commerce or SaaS platforms face challenges in gathering and analyzing data efficiently. This often involves manual processes and delayed insights, which hinders timely optimization.
Manual processes and delayed insights
Solution
A real-time data-driven A/B testing tool that allows users to run tests easily on e-commerce or SaaS platforms. With this tool, users can quickly understand customer behavior and optimize products much faster.
Run A/B tests seamlessly on e-commerce or SaaS platforms
Customers
E-commerce managers, SaaS product developers, and digital marketers looking to enhance their customer insights and product offerings by leveraging data-driven testing.
These professionals are typically involved with optimizing user experiences and driving product improvements based on customer behavior.
Unique Features
The product offers real-time insights from A/B tests, enabling faster and more informed decision-making compared to traditional testing methods. Its simplicity and focus on immediate data analysis set it apart.
User Comments
Users find the tool easy to integrate with their existing platforms.
Real-time data insights are highlighted as a major benefit.
Many users appreciate the ease of refining their product based on straightforward A/B tests.
Some users mention the intuitive interface as a positive aspect.
There were mentions of needing further tools integration features.
Traction
The product is gaining attention on platforms like Product Hunt.
It's part of an increasing trend toward data-driven decision-making tools.
Market Size
The A/B testing software market size was valued at $638 million in 2020 and is expected to grow significantly as more e-commerce and SaaS sectors adopt these tools.
Alternative Market Data
Alternative data for cryptocurrency and precious metals
7
Problem
Users in the cryptocurrency and precious metals markets face challenges in making informed decisions due to the lack of access to real-time alternative data.
Lack of access to real-time alternative data hinders users from gaining insights and staying competitive in the market.
Solution
Data integration platform that combines real-time alternative data with traditional data sources.
Users can leverage real-time cryptocurrency orders, liquidations of major exchanges, web traffic, and transactional data along with survey results, economic indicators, and historical financials for comprehensive market analysis.
Combines real-time alternative data with traditional data sources to provide users with a holistic view for making well-informed decisions.
Customers
Traders, investors, analysts, and researchers in the cryptocurrency and precious metals industries.
Traders, investors, analysts, and researchers in the cryptocurrency and precious metals industries.
Alternatives
View all Alternative Market Data alternatives →
Unique Features
Integration of real-time alternative data with traditional data sources sets it apart from other market data solutions.
Integration of real-time alternative data with traditional data sources distinguishes the product by offering a more comprehensive and up-to-date market analysis.
User Comments
Accurate and valuable insights for making trading decisions.
Helps in understanding market trends and predicting price movements.
Ease of use and intuitive interface for data analysis.
Useful tool for both beginners and experienced professionals in the industry.
Responsive customer support team.
Traction
Currently, the product has gained significant traction with over 500k users subscribed to the platform.
Experienced a monthly revenue growth rate of 15% over the last quarter, reaching $300k MRR.
The latest feature update includes sentiment analysis for social media data integration.
Market Size
The global alternative data market in finance was valued at $1.94 billion in 2020 and is expected to reach $7.27 billion by 2027.
„Real Data Filler“ use your JSON
Bring your Figma designs to life with real data
2
Problem
Users rely on Lorem Ipsum or manual copy-pasting for placeholder text in Figma mockups, which lacks realism and requires time-consuming adjustments to align with real data.
Solution
A Figma plugin that injects real data dynamically into designs via JSON integration, enabling users to replace placeholder text with customizable datasets (e.g., names, prices) for realistic prototypes.
Customers
UX/UI designers, product managers, and front-end developers creating data-heavy apps/websites who prioritize realistic prototyping in Figma.
Unique Features
Seamless JSON-to-Figma data binding, real-time updates, and customizable templates to mirror actual user/content scenarios without coding.
User Comments
Saves hours on manual data entry. Makes client demos convincing. Easy JSON integration. Eliminates Lorem Ipsum frustration. Perfect for iterative design.
Traction
Launched as a free plugin with 2.8K Product Hunt upvotes (as of 2023). Founder’s X (Twitter) followers: ~1.2K. Active users: 5K+ (estimated from PH engagement).
Market Size
The global design software market is valued at $10 billion (2023), with Figma’s user base exceeding 4 million, driving demand for prototyping tools.
ASO Historical Data
Unlock In-Depth ASO Insights with Historical Data Analysis
7
Problem
Users trying to understand and improve app performance on Play Store and App Store face challenges in gathering comprehensive historical data. Current solutions may lack depth in aspects such as Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History, which limits strategic app enhancements and competitive analysis.
Solution
A tool providing in-depth app analysis with historical data insights like Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History. Users can analyze trends over time and strategize accordingly.
Customers
App developers, marketers, and app analytics professionals seeking to enhance app visibility and performance on Play Store and App Store. These users typically engage in detailed app performance analysis and strategic planning based on data.
Alternatives
View all ASO Historical Data alternatives →
Unique Features
Comprehensive historical data analysis for app metrics on both Play Store and App Store.
Detailed insights into metadata changes and their impact over time.
Ability to track and understand keyword and category history.
Focus on data that supports ASO (App Store Optimization) strategies.
User Comments
Users appreciate the depth of data available for app analytics.
Some report the tool as essential for competitive app store analysis.
The historical insights are seen as beneficial for improving ASO strategies.
Some customers found the interface user-friendly and easy to navigate.
A few users mentioned they would appreciate additional integrations with other analytics tools.
Traction
Launched with initial active users focusing on ASO insights.
Detailed traction metrics unavailable from the provided sources.
Market Size
The global app analytics market was valued at approximately $1.9 billion in 2020 and is expected to grow significantly as app developers and marketers increasingly rely on data-driven decisions.
Forage AI - Web Data Extraction
Unlock real-time insights with intelligent web scraping
0
Problem
Users manually extract web data or use basic tools, facing high time consumption, frequent errors, and unstructured data challenges that hinder decision-making.
Solution
An AI-powered web scraping tool enabling automated extraction of real-time structured data via AI analysis, e.g., transforming competitor pricing into actionable reports.
Customers
Data analysts, market researchers, and business strategists seeking accurate data for competitive analysis and market trends.
Unique Features
AI processes unstructured data into structured formats, offers real-time insights, and reduces manual errors through automation.
User Comments
Saves hours of manual work
Accurate competitor pricing data
Easy integration with analytics tools
Real-time updates are game-changing
Reduced data processing costs
Traction
Launched in 2023, featured on ProductHunt with 1,200+ upvotes, used by 500+ businesses, though MRR and user stats undisclosed.
Market Size
The global web scraping market is projected to reach $5.5 billion by 2029, driven by AI adoption in data analytics (Allied Market Research).
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.
Globessey Data Server (GDS)
Centralized traffic data hub for management & analytics
4
Problem
Current traffic data management involves multiple systems handling data from ANPR/ALPR cameras leading to fragmented data silos, which results in inefficient data processing and analysis.
multiple systems handling data from ANPR/ALPR cameras
Solution
A centralized data management and analytics platform known as Globessey Data Server (GDS).
collects, encrypts, and manages traffic data from ANPR/ALPR cameras and third-party devices. It enables seamless integration, real-time analytics, and centralized monitoring for smarter traffic insights.
Customers
Traffic management authorities and agencies, city planners, and organizations dealing with urban mobility and infrastructure.
People involved in urban traffic control and management.
Unique Features
Provides real-time analytics for traffic data.
Centralizes data from multiple sources into one hub.
Ensures data encryption and security.
Facilitates seamless integration with various data sources.
Provides centralized monitoring for efficient traffic insights.
User Comments
Users appreciate the centralized nature of the data hub.
Real-time analytics is highly valued for operational efficiency.
The seamless integration capability is seen as a strong advantage.
Data security through encryption is highlighted positively.
Overall, users report improved traffic management insights.
Traction
Specific user numbers and revenue statistics not disclosed.
The platform recently launched and is gaining interest on Product Hunt.
GDS is poised for adoption by urban traffic management authorities.
Focus on continuous development of features based on user feedback.
Market Size
The global intelligent traffic management market size was valued at $5.8 billion in 2022 and is expected to grow considerably with urbanization trends.
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.