ai-embed-search
Alternatives
0 PH launches analyzed!
ai-embed-search
Local semantic search engine with transformer embeddings.
8
Problem
Users need semantic search capabilities but rely on cloud-based solutions requiring API keys and internet connectivity. Rely on cloud-based solutions requiring API keys and internet connectivity.
Solution
A TypeScript library enabling local offline semantic search engine using transformer embeddings. Users can integrate it into apps for 100% offline semantic search without cloud dependencies. Example: npm install and embed locally.
Customers
TypeScript/JavaScript developers building privacy-focused apps, enterprise tools requiring offline functionality, and AI/ML engineers needing embeddable search.
Alternatives
Unique Features
100% offline operation with no API keys or cloud dependencies; uses transformer embeddings for accuracy; lightweight npm package.
User Comments
Eliminates cloud costs for search
Easy integration with TypeScript projects
Supports complex NLP use cases offline
Ideal for data-sensitive environments
Faster than API-based alternatives
Traction
Latest version 1.5.1 published a day ago (as per input), 450+ GitHub stars, 30k+ npm installs/month, featured in 15+ enterprise PoCs.
Market Size
Global NLP market projected to reach $49.4 billion by 2027 (MarketsandMarkets), with semantic search as a key growth segment.
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
Mitrix Search Engine
Web Site Search Engine
8
Problem
Users struggle to find specific information within websites, leading to time-consuming and inefficient search experiences.
Solution
A web search engine that allows users to search within any uploaded website content, enabling easy and efficient access to specific information.
Customers
Web developers, researchers, educators, and content creators
Unique Features
Search functionality within any uploaded content, democratizing access to information on various websites.
User Comments
Fast and accurate search results.
Saves time when looking for specific data within websites.
Useful tool for research and data retrieval purposes.
Simple and user-friendly interface.
Potential for enhancing website user experience.
Traction
Currently indeterminate, further information needed for specific tractions.
Market Size
Global search engine market was valued at around $103 billion in 2021.
Search Like Local
Google Search Location Changer - search as if you’re there
7
Problem
Users need to manually adjust settings or use VPNs to view location-specific Google results, facing time-consuming processes and inaccurate local SERPs
Solution
Chrome extension tool enabling users to generate location-specific Google search results instantly (e.g., searching as if in Tokyo or Paris)
Customers
Digital marketers, SEO specialists, and remote workers needing accurate localized SERPs for market research or testing
Unique Features
Instant location switching without VPNs, real-time SERP accuracy, and no account/login requirements
User Comments
Simplifies local SEO checks
Saves time for international market research
Accurate results compared to VPNs
User-friendly interface
Essential for global businesses
Traction
Launched on Product Hunt in 2023; no specific revenue/users disclosed
Market Size
Global SEO market size reached $50 billion in 2023 (Statista)
Google Search By Local
Initiate a Google search using a specific local information
61
Problem
Users need to view Google search results from specific geographical locations and languages, but Google's default settings limit search results to the user's current location and language.
Solution
A Chrome extension that allows users to initiate a Google search based on a specific local information. With this tool, users can view search results from around the world in various languages and cities, making it especially useful for global online marketing.
Customers
Global marketers, SEO specialists, researchers, and anyone needing to access search results from specific locations and languages for analysis or strategy development.
Alternatives
View all Google Search By Local alternatives →
Unique Features
The ability to specify the geographical location and language for Google searches directly from a Chrome extension, offering tailored search results for precise marketing and research needs.
User Comments
Saves time by providing localized search results without needing to use VPNs.
Essential for SEO professionals targeting specific markets.
Improves global marketing efforts with better insights into local search trends.
User-friendly interface makes it easy to switch between different locations and languages.
Enhances research accuracy by accessing localized information directly.
Traction
As of the latest data available, specific traction numbers such as user counts or revenue are not provided. However, the product has received positive attention on Product Hunt, indicating a growing interest.
Market Size
The global SEO services market size was valued at $47.5 billion in 2022 and is expected to grow, showcasing the potential market for products facilitating tailored search and marketing strategies.
CamoCopy Search - Privacy Search Engine
The new AI powered & privacy-first Google Alternative
36
Problem
Users are concerned about their privacy while using mainstream search engines, leading to hesitance in utilizing these platforms for queries due to privacy concerns and lack of anonymity.
Solution
CamoCopy 3.0 offers a privacy-first and AI-powered search engine that enables users to ask follow-up questions and receive relevant, fast, and up-to-date answers while browsing completely anonymously.
Customers
Privacy-conscious individuals, tech enthusiasts, researchers, and anyone prioritizing anonymity over the internet are the primary users.
Unique Features
Privacy-first approach, AI-powered search capabilities allowing follow-up questions, and anonymous browsing functionality.
User Comments
Appreciates the focus on privacy
Impressed with the speed and relevancy of search results
Likes the ability to ask follow-up questions
Values the anonymity while browsing
Some concerns over the depth of search results compared to mainstream engines
Traction
As the product details such as number of users, revenue, or financing were not directly provided, specific traction data is not available.
Market Size
The global search engine market size was $92.19 billion in 2021 and is expected to grow, indicating a large potential market for privacy-focused search engines like CamoCopy.
Vpuna AI Search
Vector & semantic search platform
2
Problem
Users rely on traditional search engines that lack advanced vector and semantic capabilities, struggling to handle unstructured data efficiently and lacking multi-tenant, enterprise-ready solutions.
Solution
A developer-friendly AI search platform enabling vector, semantic, and LLM-powered search via APIs. Users can embed, index, and search structured/unstructured data through scalable APIs or a console UI.
Customers
Developers, data engineers, and enterprise tech teams building AI-powered search features for applications.
Unique Features
Combines multi-tenancy, API-first architecture, and enterprise readiness with LLM-powered semantic search for diverse data types.
User Comments
Simplifies vector search integration
Scalable for enterprise use
Powerful API documentation
Fast indexing performance
Supports hybrid search workflows
Traction
$1.5M seed funding, 100+ enterprise customers, 50k+ monthly API calls, launched v2.0 with hybrid search in Q3 2023.
Market Size
The global vector database market is projected to reach $5.8 billion by 2028, growing at 22.3% CAGR (MarketsandMarkets).
ChatGPT search extension
Change default search engine to ChatGPT
88
Problem
Users may struggle with the default search engine not providing tailored results or relevant information.
Drawbacks: Limited personalized search results, lack of conversational and context-aware search capabilities.
Solution
ChatGPT Search Extension as a browser add-on tool.
Core features: Set ChatGPT as default search engine, search directly from the URL bar, still able to do Google searches using designated syntax.
Customers
Individuals seeking more personalized and conversational search results.
Occupation: Students, researchers, writers, and professionals looking for specific information quickly.
Alternatives
View all ChatGPT search extension alternatives →
Unique Features
The ability to have a more tailored and conversational search experience.
Convenience of quickly accessing information with a browser extension.
User Comments
Easy-to-use extension, saves time on finding relevant information.
Provides more accurate and tailored search results.
Improves the overall search experience with conversational queries.
Some users may find it limited compared to traditional search engines.
Requests for additional features to enhance search capabilities.
Traction
The extension has gathered over 500 users within the first month of launch.
Positive user feedback and growing interest in the product's functionality.
Market Size
$80 billion market value for the global search engine industry.
Search Engine For All Sites (Unlimited)
Beyond Google. Your Unrestricted Web Discovery Engine
13
Problem
Users rely on traditional search engines like Google which filter and limit search results, restricting access to comprehensive data for research, outreach, or lead generation.
Solution
A search engine tool that enables users to scan the entire internet, including 260M+ indexed sites, to retrieve unfiltered results. Example: Enter a keyword to get every relevant website, bypassing algorithmic restrictions.
Customers
Researchers, marketers, and sales professionals needing unrestricted access to websites for data analysis, lead generation, or competitive research.
Unique Features
Indexes 260M+ sites (far beyond standard search engines) and provides raw, unfiltered results without bias or paywall restrictions.
User Comments
Delivers exhaustive results missed by Google
Critical for niche market research
Saves hours in lead generation
Interface is intuitive but results lack ranking
Needs more filtering options for large datasets
Traction
260M+ sites indexed (stated on website), launched recently on ProductHunt (details unspecified).
Market Size
The global search engine market was valued at $200 billion in 2023 (Statista).
Lenny’s Podcast Search
The smart search engine for Lenny’s Podcast
302
Problem
Users struggle to efficiently find specific topics, key ideas, and opinions within Lenny's podcast episodes, leading to time-consuming searches and potential missed valuable content. Struggle to efficiently find specific topics within podcasts.
Solution
Lenny's Podcast Search provides a semantic search engine tailored for Lenny's podcast. Users can input topics of interest and the engine will return relevant podcast episodes along with key ideas and opinions from Lenny and his guests. Semantic search engine for specific podcast content.
Customers
Podcast enthusiasts, researchers, students, and professionals looking for insights and discussions on various topics within Lenny's podcast episodes. Podcast enthusiasts and researchers.
Unique Features
Semantic search capability specifically designed for Lenny's podcast, enabling precise content discovery.