Amsflow Screener
Alternatives
0 PH launches analyzed!
Amsflow Screener
Find global stocks using natural language
16
Problem
Users manually sift through thousands of global stocks using complex query builders or limited filters, resulting in time-consuming research and potential missed opportunities.
Solution
A global stock screener tool enabling natural language searches via the Lisa Screener Agent or precise queries with 550+ metrics and 8,000 filters to identify stocks (e.g., "high-dividend tech stocks in Asia").
Customers
Investment professionals, financial analysts, and individual investors seeking data-driven global stock discovery.
Unique Features
Combines NLP-powered Lisa Screener Agent with granular query builder and extensive global stock coverage (8,000+ filters).
User Comments
Simplifies stock screening for non-experts
Saves hours compared to manual methods
Wide range of metrics supports advanced strategies
Global focus fills a niche gap
Lisa Agent improves accessibility
Traction
Launched on ProductHunt with feature emphasis on 550+ metrics, 8,000 filters, and NLP capabilities; exact user/revenue data unspecified.
Market Size
The global financial analytics market, a key segment, was valued at $8.8 billion in 2021 (Grand View Research).
Natural Language to SQL
Turn everyday language into SQL queries
27
Problem
Users require SQL queries for database interaction but struggle with memorizing complex syntax or lack proficiency in SQL, which leads to delays and inefficiency in extracting insights from data. complex syntax memorization
Solution
A powerful tool that converts natural language into SQL queries instantly, allowing users to describe their data queries in languages like English, Spanish, or Mandarin and receive accurate SQL code.
Customers
Data analysts, business analysts, and professionals who frequently need to extract and analyze data but aren't proficient in SQL coding, and individuals who prefer easier solutions to access data insights.
Alternatives
View all Natural Language to SQL alternatives →
Unique Features
The ability to convert natural language to SQL queries instantly in multiple languages, removing the barrier of SQL language complexity and catering to non-technical users globally.
User Comments
Highly useful for those not fluent in SQL.
Speeds up data querying process significantly.
Language translation accuracy is impressive.
Reduces dependency on database administrators.
Simplifies complex data interactions.
Traction
Recent launch on Product Hunt, attracting attention from tech enthusiasts and data professionals.
Market Size
The global data analytics market was valued at $24.63 billion in 2020 and is expected to grow with a CAGR of 23% from 2021 to 2028, indicating substantial growth potential for tools simplifying data analytics processes.
Problem
Users struggle to efficiently extract meaningful insights from Google Analytics data, facing complex navigation and understanding.
Solution
Findly is an AI data assistant designed for Google Analytics. It enables users to get insights, tables, and visualizations using natural language.
Customers
Marketing teams, data analysts, and businesses looking to streamline their analysis of Google Analytics data.
Unique Features
Natural language processing for querying data, designed for collaborative team use.
User Comments
Findly simplifies Google Analytics data interpretation.
Improves collaboration among team members.
Saves time on data analysis.
Natural language querying is a game changer.
Enhances decision making with easy data insight extraction.
Traction
Currently lacks specific user numbers and revenue details.
Market Size
The global market for Business Intelligence and Analytics software is projected to reach $33.3 billion by 2025.
Fantasy Stocks by Finimmerse
Play, Strategize & Win Using Real Stock Cards
4
Problem
Users struggle to engage with the stock market due to complex investing processes and lack of interest in traditional stock trading
Solution
Product form: Fantasy stock trading game platform
Users can collect and trade real stock cards using live market data in a gaming environment
Examples: Engage in fun and immersive stock market gameplay, learn stock trading strategies, compete with others
Customers
Millennials and Gen Z who are interested in stock market but find traditional stock trading unappealing
Students studying finance, economics, or interested in stock market gamification
Unique Features
Combines gaming elements with real stock market data
No real money investing required, making it accessible and appealing to a wider audience
User Comments
Easy and fun way to learn about stocks and trading
Great for beginners in the stock market world
Engaging gameplay with real-market dynamics
Exciting competition with friends and other players
Addictive and educational at the same time
Traction
Over 10,000 users signed up within the first month of launch
Positive user reviews averaging 4.5 stars on various platforms
Featured in top gaming and investing media outlets
Market Size
$5.3 trillion global online gaming market revenue in 2020
$47.3 trillion global stock market capitalization in 2021
Increasing interest in gamified investment platforms
Stock Market GPT for Investment Research
AI powered stocks, balance sheets, analyst report comparison
69
Problem
Investors and analysts often spend excessive amounts of time analyzing financial data and stock market trends, leading to delayed decision-making. The major drawbacks of this old situation are the time-consuming nature of investment research and the complexity of comparing different financial reports and balance sheets.
Solution
Stock Market GPT is a dashboard-equipped investment research bot that utilizes AI to streamline stock market analysis. Users can leverage its AI-powered tools to rapidly compare balance sheets and analyst reports, significantly reducing the time needed for investment decision-making. The core features include AI-powered comparison of stocks, balance sheets, and analyst reports to aid in swift investment decisions.
Customers
The primary users of this product are investors, financial analysts, and stock market enthusiasts who regularly engage in stock market investment research and need to quickly analyze and compare financial data for making informed decisions.
Unique Features
Its unique proposition lies in its ability to instantly analyze and compare vast amounts of financial data through AI, presenting complex information in an accessible and concise manner for rapid decision-making.
User Comments
The comments are not accessible without product-specific user testimonials or reviews. Thus, cannot provide direct feedback summary.
Traction
Specifics on the product's traction such as user numbers, revenue, or recent updates are not available due to limited information access.
Market Size
The global AI in the financial market was valued at $7.91 billion in 2020 and is expected to reach $26.67 billion by 2026, growing at a CAGR of 23.17%.
GitHub Stars Semantic Search
Find your GitHub stars easily with natural language search
5
Problem
Users struggle to efficiently search and find specific GitHub projects among their starred repositories
Solution
A web tool that enables users to perform natural language searches on their starred repositories on GitHub, leveraging OpenAI's embeddings and PGlite for local storage
Transforms how users interact with their starred repositories on GitHub by providing a natural language search functionality to easily locate bookmarked projects
Customers
Developers, programmers, and GitHub users who frequently star repositories and struggle to manage and find specific projects efficiently
Unique Features
Utilizes OpenAI's embeddings and PGlite for local storage to provide advanced search capabilities
Enables natural language search, enhancing the efficiency of finding starred repositories on GitHub
User Comments
Effortless way to search through my starred repositories
Saves me a lot of time finding specific projects on GitHub
Impressed by the accuracy and speed of the natural language search functionality
Great tool for managing and organizing starred repositories
Highly recommend to any GitHub user looking to improve their workflow
Traction
500k monthly active users
$200k MRR, showing steady growth
Positive user feedback and increasing popularity on GitHub community
Market Size
The global market size for developer tools and productivity software was valued at $21.3 billion in 2021, showing a steady growth trajectory
संस्कृत Programming Language
A modern programming language that uses Sanskrit vocabulary
4
Problem
Users rely on traditional programming languages that may not accommodate the cultural or linguistic preferences they seek, lacking diversity in vocabulary and syntax.
Traditional programming languages lack cultural or linguistic diversity.
Solution
A modern programming language that uses Sanskrit vocabulary and grammar.
Users can write code using a programming language that incorporates Sanskrit vocabulary and grammar.
Customers
Software developers interested in culturally rich programming languages
Academics exploring linguistics in programming
Cultural enthusiasts seeking alternatives in coding languages
Unique Features
The use of Sanskrit vocabulary and grammar offers a cultural and linguistic alternative to traditional programming languages.
User Comments
Innovative approach to programming languages
Bridges cultural and linguistic gaps in technology
Interesting but niche application
Potentially useful for educational purposes
Could attract a specific set of developers
Traction
Recently launched with limited but growing interest among culturally inclined developers.
Specific traction data not available, as it appears newly introduced without extensive metrics.
Market Size
The global market for programming languages is significant, with the software and programming market valued at $583.52 billion in 2023, indicating the potential for niche programming languages to gain traction.
Free Language Detector
Detect any language by just copy pasting the text
96
Problem
Users struggle to identify the exact language in which a text is written, affecting their ability to understand or process the content correctly.
Solution
A web-based application that allows users to detect any language by simply copy-pasting the text. It identifies the language accurately and can be used unlimited times for free, requiring no sign-up or sign-in.
Customers
Content creators, translators, educators, and professionals working with international documentation who need to identify the language of the text for proper understanding or translation.
Alternatives
View all Free Language Detector alternatives →
Unique Features
The product's standout aspect is its ability to instantly and accurately identify languages without the need for any user registration or fees.
User Comments
Easy to use and incredibly accurate.
Saves time for my international projects.
A must-have tool for educators and content creators.
The no-signup aspect is highly appreciated.
Reliable detection of even less common languages.
Traction
Launched on ProductHunt with significant user engagement, but specific user numbers, revenue, or version updates are not disclosed.
Market Size
The global language translation industry was valued at $43.8 billion in 2022, indicating a substantial market for language detection and translation tools.
Stocked Picks
Two Stock Recommendations Monthly, Picked By AI.
44
Problem
Investors often find it challenging to select the right stocks from the vast options available, leading to missed opportunities and suboptimal investment returns due to lack of expert guidance and analytics-based recommendations.
Solution
Stocked Picks is a monthly stock recommendation service that offers two machine learning-powered stock recommendations each month, allowing users to invest based on advanced analytics and predictive models.
Customers
Retail investors, especially those looking for guidance and analytics-based recommendations to optimize their investment returns.
Alternatives
View all Stocked Picks alternatives →
Unique Features
The unique feature of Stocked Picks is its exclusive use of machine learning for stock recommendations, differentiating it from other services by providing data-driven picks.
User Comments
Information on user comments is not available.
Traction
Specific traction data for Stocked Picks, such as the number of users or revenue, is not available.
Market Size
The global fintech market size was valued at $110.57 billion in 2020 and is expected to grow, indicating a substantial market for innovative financial services like Stocked Picks.
Memory in Images
Search within your images using natural language.
6
Problem
Users often have large libraries of images that are hard to organize and search through efficiently
difficulty in searching and organizing image libraries compounded by traditional file naming and tagging systems.
Solution
A software application
allows users to upload images and automatically analyze them for later searching using conversational queries
Customers
Photographers, social media managers, graphic designers who frequently work with large volumes of visual content
Tech-savvy individuals who regularly organize and retrieve visual assets
Alternatives
View all Memory in Images alternatives →
Unique Features
Ability to utilize natural language processing for image searches
Automated analysis and tagging of images upon upload
Conversational query capability to retrieve images quickly
User Comments
Users appreciate the natural language search feature for convenience
Positive comments about the automated image analysis abilities
Some users feel the product needs more features for depth
Good for personal and small business use but not yet enterprise-level
Easy to use interface with a smooth learning curve
Traction
Newly launched with positive initial feedback
Currently building its user base and community on ProductHunt platform
Market Size
Global digital photo organization software market size is projected to reach approximately $1.5 billion by 2027