EasyFinder
Alternatives
0 PH launches analyzed!
EasyFinder
Awesome semantic search widget for webshops
8
Problem
Users struggle with traditional keyword-based search bars that provide irrelevant results when users describe needs in natural language, leading to frustration, abandoned carts, and lost sales.
Solution
Semantic search widget for e-commerce sites. Users can train AI on their product catalog and enable customers to search using conversational queries (e.g., "affordable summer dresses for beach trips").
Customers
E-commerce businesses, online store managers, and developers seeking to improve user experience and conversion rates.
Alternatives
Unique Features
Uses product-specific training data, interprets natural language intent (e.g., budgets, use cases), and integrates directly into webshops.
User Comments
Simplified search for customers
Boosted conversion rates by 20%
Seamless setup process
Users describe needs like talking to a human
Reduced bounce rates on product pages
Traction
Newly launched on Product Hunt (specific metrics unavailable), positioned in the growing AI e-commerce tools market.
Market Size
The global e-commerce search software market is projected to reach $7.84 billion by 2030 (Grand View Research, 2023).
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).
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
Easy Site Search
Add search bar to your website in minutes, easy
7
Problem
Users want to add search functionality to their websites. However, they face problems with the complexity of integrating traditional search solutions, which may require knowledge in coding and web development.
The drawbacks of this old situation include limited accessibility for non-technical users and the potential for high costs involved in hiring professionals to implement such features.
Solution
A no-code search widget that allows users to easily add a search bar to their website within minutes.
Users can integrate search functionality without any coding skills, simplifying the process significantly.
Customers
Website owners, small business owners, bloggers, and non-technical individuals looking to enhance their website's functionality and user experience without needing to hire developers.
Alternatives
View all Easy Site Search alternatives →
Unique Features
Provides a no-code solution that can be integrated quickly and easily into a website, saving time and resources.
User Comments
Users appreciate the ease of installation and integration.
People find it useful especially for small businesses and personal websites.
Some have mentioned that the customization options are limited.
Positive feedback on the ability to improve website navigation.
The widget is praised for not requiring technical knowledge.
Traction
Newly launched with initial adoption by small and medium-sized website owners. Specific metrics and data on the user base are not currently available.
Market Size
The global enterprise search market size was valued at $3.25 billion in 2019 and is expected to grow at a compound annual growth rate (CAGR) of 10.2% from 2020 to 2027.
Surudo Semantic Search Bot
Find relevant linkedin posts fast
4
Problem
Users struggle to find relevant LinkedIn posts quickly, leading to time-consuming research processes.
Solution
A chatbot tool that offers precise semantic search functionality to quickly discover LinkedIn posts.
Delivers ranked, relevant posts with key insights to streamline research.
Customers
Primarily GTM teams looking to efficiently find and analyze relevant LinkedIn posts.
Unique Features
Precise semantic search for LinkedIn posts, delivering ranked and relevant results with key insights.
User Comments
Saves time in finding relevant posts.
Helpful for GTM teams conducting research.
Traction
Information about the traction of the product needs further search for specific quantitative data.
Market Size
Global market for AI-powered tools in marketing and sales is projected to reach $66.8 billion by 2027.
Search on...
Android app to search selected text on your favorite sites
3
Problem
Users often struggle with efficiently searching text on different websites, requiring them to manually copy the text, open a browser, and then paste it into different sites. This process can be cumbersome and time-consuming.
manually copy the text, open a browser, and then paste it into different sites
Solution
An Android app that allows users to search selected text on their favorite sites quickly and effortlessly. With this app, users can select any text on their device and with a few taps, send it for instant results on their preferred websites.
Customers
Tech-savvy Android users who frequently look up information online, including researchers, students, professionals, and general users looking to streamline their online search processes.
Alternatives
View all Search on... alternatives →
Unique Features
The ability to directly send selected text for search across various sites directly from any app, saving time and enhancing efficiency.
User Comments
Users find it intuitive and time-saving.
App simplifies the search process across multiple platforms.
Great utility for students and professionals.
Reduces friction in finding information.
Some users want more customization options.
Traction
Recently launched on ProductHunt; specific traction metrics like number of users or revenue not publicly disclosed yet.
Market Size
The global search engine market was valued at $92.7 billion in 2021 and is expected to keep growing as more users seek efficient search solutions.
EasyFinder
Beautiful AI-powered search widget for webshops
1
Problem
Users struggle with ineffective search functions on their webshops, leading to lower conversion rates due to customers not finding the right products quickly.
Solution
A plug & play AI shopping assistant widget that uses semantic search trained on a webshop's product catalog, enabling customers to find products via natural language queries (e.g., "affordable waterproof hiking boots").
Customers
E-commerce managers, online store owners, and digital marketers focusing on improving user experience and sales conversion.
Unique Features
AI model specifically trained on a webshop's product data for context-aware search without manual setup.
User Comments
Simplifies product discovery for customers
Boosts sales with minimal integration effort
Accurate semantic search improves user satisfaction
Highly customizable widget design
Reduces cart abandonment rates
Traction
Launched on ProductHunt in 2024; exact revenue/user numbers unspecified. Founder’s LinkedIn shows 1.2k+ followers.
Market Size
The global e-commerce AI market is projected to reach $16.8 billion by 2030 (Grand View Research, 2023).
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.
Reflect AI Search
Search and chat with your notes using AI
226
Problem
Traditional note-taking and searching methods often require remembering exact words or phrases to locate information. This process can be inefficient and frustrating when users can't recall specific details, leading to wasted time and decreased productivity.
Solution
Reflect is a note-taking platform that leverages AI to offer advanced search capabilities. Users can perform semantic searches without needing the exact words, chat with their notes as if with a personal assistant, and apply filters to streamline information retrieval.
Customers
Professionals, students, researchers, and anyone who relies heavily on note-taking and needs an effective way to organize and access their information.
Unique Features
Reflect distinguishes itself by allowing semantic searches, chatting with notes functionality, and the use of filters to refine searches, providing a more intuitive and efficient way to manage notes.
User Comments
Detailed user comments are not available. The analysis is based on provided product information.
Traction
Specific traction details such as user numbers or revenue are not available. The analysis is based on provided product information.
Market Size
The global productivity apps market was valued at $54.6 billion in 2022, with a growing trend towards AI-powered solutions for personal and professional use.
GJAM Search - AI Search Revolution
AI search engine powered by a DePIN of GPUs
5
Problem
Many users struggle with traditional search engines that provide abundant but often irrelevant information.
Retrieving precise answers is a major drawback when using these tools.
They often involve time-consuming navigation through multiple links to find the right information.
Solution
AI search engine
Provides direct answers from generative AI instead of a list of links.
Generative UI allows users to ask questions and obtain exact answers efficiently.
Customers
Tech-savvy individuals seeking efficient and accurate information sources.
Researchers and students looking for quick retrieval of specific information.
People with limited time who require concise answers.
Unique Features
Powered by a distributed private infrastructure network (DePIN) of GPUs.
Generative UI design facilitates interaction for precise information retrieval.
Open to everyone, enabling widespread accessibility.
User Comments
Impressed by the speed and accuracy of the results.
Appreciate the minimalistic and easy-to-use interface.
Noticed improved productivity due to direct answers.
Some concerns regarding the comprehensiveness of generated results.
Praise for innovative approach compared to mainstream search engines.
Traction
Launched on Product Hunt
Early adoption and interest observable through community engagement.
Quantitative data on user base and financial metrics not available.
Market Size
The global AI in the search engine market is projected to reach $14.5 billion by 2025 according to industry reports.