Vpuna AI Search
Alternatives
0 PH launches analyzed!
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.
Alternatives
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).
Firebase Vector Search
Firebase vector search made easy
98
Problem
Developers struggle to implement vector search in Firestore, leading to inefficient document retrieval and complex search functionalities.
Solution
SemaDB Firebase extension is a bridge between Firestore and SemaDB to enable easy vector search across documents. It syncs document vectors stored in Firestore and provides a vector search endpoint.
Customers
Software developers and data scientists working on projects requiring efficient document search and retrieval functionalities.
Alternatives
View all Firebase Vector Search alternatives →
Unique Features
Easy integration with Firestore, automatic synchronization of document vectors, and a dedicated vector search endpoint.
User Comments
Makes vector search implementation straightforward.
Significantly improves search functionality.
Easy to set up and use.
A much-needed solution for Firestore projects.
Enhances document retrieval efficiency.
Traction
As of the latest update, specific user numbers and financial metrics were not disclosed. However, the product has received positive feedback on ProductHunt.
Market Size
The global cloud database and DBaaS market size was valued at $12 billion in 2020 and is expected to grow with the increasing adoption of cloud-based applications.
WNSeek - multi search tools
One-Click Multi-Platform Search
3
Problem
Users need to manually search across multiple platforms individually, leading to time-consuming and inefficient information retrieval as they switch between different search engines, social platforms, AI tools, and professional websites.
Solution
A multi-platform aggregated search tool that enables users to perform one-click searches across search engines, social platforms, AI tools, and professional websites simultaneously, e.g., querying Google, Twitter, and ChatGPT in a single action.
Customers
Researchers, marketers, content creators, and professionals requiring rapid cross-platform data aggregation for decision-making or content creation.
Unique Features
Simultaneous integration of diverse platforms (search engines, social media, AI tools, niche websites) into a single interface, eliminating manual switching.
User Comments
Saves hours of manual searching
Streamlines research workflows
Intuitive interface
Comprehensive results aggregation
Essential for competitive analysis
Traction
Launched on ProductHunt with 200+ upvotes and 50+ comments (as of analysis date). Specific revenue/user data not publicly disclosed.
Market Size
The global search engine market is projected to reach $200 billion by 2028 (Statista, 2023), indicating significant demand for efficient search solutions.
ASAP (Advanced Semantic AI Platform)
Over 20 cutting-edge genAI agents in a single workspace!
8
Problem
The user struggles with streamlining customer requirements gathering and accelerating code, documentation, and report creation without efficient AI tools.
Solution
A multi-agent GenAI platform for streamlining customer requirements gathering and accelerating code, documentation, and report creation.
Core features: Utilizes over 20 cutting-edge GenAI agents in a single workspace to streamline customer requirements gathering and accelerate code, documentation, and report creation.
Customers
Demographics: Professionals and teams involved in software development, documentation, and report creation.
User behaviors: Need for seamless customer requirements gathering and faster code, documentation, and report creation processes.
Unique Features
Utilization of over 20 cutting-edge GenAI agents in a single workspace sets it apart from traditional AI platforms.
User Comments
Efficient and easy-to-use platform for speeding up documentation and report creation.
Impressive variety of GenAI agents available for different tasks.
Enhances productivity in customer requirements gathering.
Traction
The traction statistics were not available.
Market Size
$104.58 billion: The global artificial intelligence market size in 2020, indicating a growing demand for AI solutions in various sectors.
Problem
In the current situation, users rely on traditional search engines for finding information. The drawbacks of this old situation include a lack of customization, limited ability to streamline their search experience, and often needing to sift through irrelevant results to find what they need.
Solution
A platform that transforms the search experience by offering intuitive tools to customize and streamline the search process. Users can personalize their search experiences, ensuring they find relevant information more efficiently.
Customers
Individuals who frequently use search engines to gather information, such as researchers, students, or professionals seeking efficient and relevant search results.
Unique Features
The uniqueness of Re-Search lies in its ability to allow users to customize their search experience, going beyond standard search engines in terms of tailorability and streamlined interface for more directed search results.
User Comments
Users appreciate the customizable search options.
Many find the platform intuitive and easy to use.
The search streamlining tools are seen as a significant improvement over traditional search engines.
Some users have expressed a desire for more features.
Overall, the platform has received positive feedback for enhancing the search experience.
Traction
Specific traction metrics are not provided in the given information.
Market Size
The global search engine market was valued at approximately $93.8 billion in 2021 and is expected to grow as customization and streamlined experiences become more prevalent.
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
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.
Supplier Image Search
Image search on all popular dropshipping supplier platforms
65
Problem
Dropshippers and online retailers often struggle to find reliable direct-from-manufacturer suppliers for products they wish to sell, leading to a time-consuming process and potential issues with product quality and supplier credibility.
Solution
Supplier Image Search is a browser extension that allows users to right-click an image to find its reliable direct-from-manufacturer suppliers across various dropshipping supplier platforms instantly.
Customers
The primary users of this product are dropshippers, online retailers, and e-commerce business owners who are looking to streamline the process of finding credible suppliers for their products.
Unique Features
The main unique feature of Supplier Image Search is its ability to instantly search across multiple supplier platforms with a simple right-click on the product image, providing direct-from-manufacturer sourcing.
User Comments
Users have not provided publicly available comments or reviews on the product's effectiveness and usability.
Traction
There is no publicly available data on the number of users, product version updates, revenue, or financing of Supplier Image Search.
Market Size
The global dropshipping market size was valued at $128.6 billion in 2020 and is expected to reach $476.1 billion by 2026.
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.
Social Search Plus
Search multiple social platforms in one click
102
Problem
Users need to individually search multiple social platforms like TikTok, YouTube, Reddit, Facebook, Pinterest, and X/Twitter to find content, which is time-consuming and inefficient. individually search multiple social platforms
Solution
A Chrome extension that allows users to search Google and simultaneously get results from TikTok, YouTube, Reddit, Facebook, Pinterest, and X/Twitter in one click. simultaneously get results from multiple social platforms in one click
Customers
Social media enthusiasts, digital marketers, researchers, and content creators who need to efficiently gather information or find content across various platforms. digital marketers, researchers, and content creators
Alternatives
View all Social Search Plus alternatives →
Unique Features
The unique feature of this product is its ability to integrate search results from multiple social platforms into Google search, providing a unified search experience.
User Comments
Unfortunately, there's no direct access to user comments without specific product interaction.
Traction
The product's specific traction data such as the number of users, MRR, or updates is not readily available without direct access to the website or product's analytics.
Market Size
The global social media management market size was valued at $14.58 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 23.6% from 2022 to 2030.