Waterbridge ETF Search
Alternatives
0 PH launches analyzed!
Waterbridge ETF Search
Search and find ETFs in natural language
4
Problem
Current situation: Users often rely on complex and outdated manual filters to search for suitable ETFs.
Drawbacks: Users find it cumbersome and time-consuming to navigate the plethora of available ETFs using complex and outdated manual filters.
Solution
Product form: AI-powered tool.
What can users do: Users can input natural language queries to explore and find ETFs.
Examples: Users can type queries such as looking for tech stocks in Europe, clean energy, or AI trends, and find relevant ETFs.find ETFs in natural language by typing queries
Customers
Retail investors, financial advisors, and investment analysts looking to simplify their process of finding suitable ETFs using intuitive interfaces.
Demographics: Typically adults aged 25-55 with a financial interest.
User behaviors: Tech-savvy, frequently engaging with investment tools and platforms.
Alternatives
Unique Features
Natural language processing to explore ETFs without traditional filters.
AI-driven insights to find precise ETF matches based on personalized queries.
Fun and engaging exploration through chat interfaces.
User Comments
Users appreciate the intuitive and less cumbersome approach to finding ETFs.
The AI-driven natural language feature is considered innovative.
Some users find the chat interface engaging and fun to explore.
There is demand for more detailed features and options in queries.
Overall, a positive reception for easing the ETF search process.
Traction
Newly launched as a fresh alternative to traditional ETF search tools.
Product featured on ProductHunt driving initial traction and visibility.
Gathering feedback and iterating based on user input.
Market Size
The global ETF market size was valued at approximately $7.74 trillion in 2020 and is expected to grow as more investors seek diversified portfolios.
Find For Me
Natural language place search
7
Problem
Users struggle to find specific places like restaurants, hotels, or attractions using rigid keyword-based search tools, leading to inefficient or irrelevant results.
Solution
A natural language search engine that interprets conversational queries (e.g., 'cozy café with Wi-Fi near parks') to generate tailored place recommendations, streamlining discovery.
Customers
Travelers, local explorers, event planners, and content creators seeking personalized and intuitive location-based searches.
Alternatives
View all Find For Me alternatives →
Unique Features
Context-aware natural language processing adapts to colloquial phrases, filters results dynamically based on real-time data (e.g., proximity, amenities), and supports global coverage.
User Comments
Saves time compared to traditional search methods
Accurately interprets vague descriptions
Useful for spontaneous travel plans
Integrates well with maps
Needs more niche location categories
Traction
Launched on ProductHunt (2023) with 1.2K+ upvotes, 50K+ monthly active users, $20K MRR, and partnerships with 3 mapping APIs.
Market Size
The global location-based services market is projected to reach $318.7 billion by 2030 (Grand View Research, 2023).
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
PrompTube - Search YouTube With Prompts
Search YouTube using natural language prompts
3
Problem
Users struggle to find relevant YouTube content using keyword-based searches, leading to time-consuming and inefficient results due to vague or poorly framed queries.
Solution
A browser extension powered by AI that transforms natural language prompts into precise YouTube search results, allowing users to input ideas or questions conversationally (e.g., "How to make a vegan cake without oven") and receive tailored video recommendations.
Customers
Content creators, researchers, educators, students, and casual viewers who need context-aware YouTube searches without relying on exact keywords.
Unique Features
Leverages AI to interpret search intent and context rather than matching keywords, enabling discovery of niche or long-tail content that traditional YouTube search algorithms might miss.
User Comments
Saves time by eliminating keyword guesswork
Improves content discovery accuracy
Intuitive interface for casual queries
Helpful for academic and professional research
Reduces frustration with irrelevant results
Traction
Launched 7 days ago on ProductHunt with 84 upvotes and 15+ reviews as of analysis date. Founder has 110 followers on LinkedIn.
Market Size
The global video streaming market, including platforms like YouTube, is projected to reach $1.9 trillion by 2030 (Grand View Research, 2023), with 2.7 billion monthly YouTube users as of 2024.
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.
Free AI Tool Find Keyword Search Volume
Find Keyword Search Volume & Suggestions
7
Problem
Users need to manually research keywords using multiple tools, leading to inefficiency and outdated data
Old methods lack AI-powered insights, resulting in inaccurate search volume predictions and limited SEO title/meta suggestions
Solution
A web-based SEO keyword research tool that lets users generate search volume, keyword difficulty, and trending phrases via AI, e.g., inputting "content marketing" to get volume data and title recommendations
Customers
Bloggers, SEO specialists, and content marketers needing fast, free keyword insights for content strategy
Unique Features
Real-time keyword difficulty scoring, AI-generated SEO metadata, and no signup requirement
User Comments
Saves hours on keyword research
Accurate search volume data
Easy-to-use interface
Helpful for blog content planning
Free access is a major plus
Traction
Launched 1 week ago on ProductHunt (15+ upvotes)
Free tier with 10,000+ monthly users (estimated)
Market Size
The global SEO industry is valued at $50 billion (Statista, 2023)
AI Search For Influencers
AI natural language search for Youtubers
8
Problem
Users manually search for sponsors or influencers through labor-intensive research, leading to inefficient matching and time-consuming outreach.
Solution
AI-powered platform where users input briefs and budgets to automatically match with brands/influencers via AI natural language search (e.g., query "vegan lifestyle YouTubers with 100K+ subs").
Customers
Social media influencers, YouTubers, content creators, and brand managers/marketing professionals seeking partnerships.
Unique Features
AI interprets natural language queries, analyzes brand/influencer values/aesthetics, and suggests aligned matches with contact automation.
User Comments
Saves hours of manual research
Accurate brand style matching
Intuitive query interface
Faster deal closures
Simplifies outreach campaigns
Traction
Launched 2 months ago with 1K+ users, $15k MRR, 120+ ProductHunt upvotes, and active founder engagement (2.5K+ X followers).
Market Size
Global influencer marketing market valued at $21.1 billion in 2023 (Statista).
Lexy AI Search
AI search engine search topics uncover insights find people
8
Problem
Users need to conduct thorough research on various topics and discover relevant insights, people, and contacts. They rely on traditional search engines, which lack advanced filtering options and intelligent summarization, making searches time-consuming and less precise. The drawback of this old situation is the reliance on traditional search engines without advanced filtering options and intelligent summarization.
Solution
An AI-powered search engine that helps users research topics, uncover insights, find people & contacts, and access files faster. With features such as platform-specific searches, advanced filters, and intelligent summarization, users receive more precise search results every time.
Customers
Researchers, analysts, and professionals who require efficient access to detailed information, insights, and contacts. These users often engage in extensive online research and utilize diverse data sources for their work.
Alternatives
View all Lexy AI Search alternatives →
Unique Features
AI-powered search with platform-specific queries, advanced filters, and intelligent summarization for precise search results.
User Comments
The product helps streamline research processes effectively.
Users appreciate the advanced filtering and summarization features.
The search engine improves productivity by delivering quick results.
Some users find results to be more relevant compared to traditional search engines.
A few users mentioned a desire for more integration options.
Traction
No specific metrics such as the number of users or revenue details are provided in the information available.
Market Size
The global market for AI-powered search engines is expected to grow significantly. According to a report by Mordor Intelligence, the AI market in search across industries is estimated to have a CAGR of 30.2% from 2021 to 2026.
GitHunter: AI Developer Discovery
Find GitHub developers with AI-powered natural search
20
Problem
Users manually search GitHub with complex queries/filters to find developers, leading to time-consuming, inefficient discovery of relevant talent.
Solution
AI-powered developer discovery platform where users can search GitHub profiles via natural language queries (e.g., "Python experts in Lima") to get instant results, skill radars, and CV comparisons.
Customers
Tech recruiters, HR professionals, and hiring managers seeking developers with specific skills or locations.
Unique Features
Natural language search for GitHub, AI-generated skill radars, CV processing, and developer comparison tools.
User Comments
Saves hours of manual GitHub filtering
Intuitive natural language queries
Effective for niche tech talent hunting
Useful CV analysis feature
Simplifies developer comparisons
Traction
Launched on ProductHunt (exact metrics unspecified)
Market Size
Global recruitment software market valued at $2.8 billion in 2022 (Grand View Research)
AI Video Search
AI, Search
6
Problem
Current users face difficulties in efficiently searching videos using traditional text-based search engines.
The old solution lacks the ability to understand natural language queries, leading to inefficient and ineffective video search results.
lacks the ability to understand natural language queries
Solution
The solution is an AI video search tool.
It allows users to perform natural language searches to find video content more effectively.
perform natural language searches to find video content
Customers
Individuals who regularly consume video content online
Content creators looking for specific clips or themes
Media and research professionals requiring precise video searches
Content creators
Alternatives
View all AI Video Search alternatives →
Unique Features
The AI's ability to interpret natural language, offering a more intuitive and efficient search process compared to traditional keyword-based searches.
User Comments
Many users appreciate the natural language processing aspect.
Some users have noted the ease of finding specific content quickly.
There are positive comments regarding its potential in improving search efficiency.
Concerns were expressed about privacy and data use.
Some users wish for more languages and broader video database support.
Traction
The product has gained initial traction with specific deployments planned on dedicated AI servers for enhanced capacity.
No detailed metrics on user numbers or revenue are provided.
The simpler version titled www.findporn.top is available for initial testing.
Market Size
The global video streaming market size was valued at $50.11 billion in 2020 and expected to grow at a compound annual growth rate (CAGR) of 21% from 2021 to 2028, indicating a significant and expanding user base for video search tools.