Asimov
Alternatives
0 PH launches analyzed!
Problem
Users need to manually embed, chunk, re-rank, and manage vector databases for AI agent searches, leading to time-consuming complexity and operational inefficiency
Solution
A unified platform (API) enabling users to automate vector search workflows by uploading sources and querying via a single API request, eliminating manual embedding, chunking, and database management
Customers
Developers and companies building AI agents, particularly those needing efficient vector search capabilities for documents, sources, or datasets
Unique Features
Combines embedding, chunking, re-ranking, and vector database management into one workflow with a single API
User Comments
No user comments provided in the input data
Traction
Launched 7 days ago on Product Hunt with 72 upvotes (as of the input data). No disclosed MRR, revenue, or user count
Market Size
The global vector database market size is projected to reach $5.8 billion by 2028 (MarketsandMarkets, 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).
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.
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.
Problem
Users need to manually vectorize raster images using complex software like Adobe Illustrator, requiring technical expertise and time
Solution
A web-based AI tool enabling users to convert raster images (PNG, JPG) to vector formats (SVG, PDF, EPS) instantly for free, with no registration or limits
Customers
Graphic designers, digital artists, marketers, and illustrators needing scalable vector graphics for logos, prints, or digital assets
Alternatives
View all AI Vector alternatives →
Unique Features
AI-powered conversion without manual tracing, unlimited free usage, instant processing, no sign-up
User Comments
Simplifies vectorization for non-experts
Saves hours compared to manual tools
Free alternative to expensive software
High-quality output for professional use
No hidden costs or usage limits
Traction
Launched 2 months ago, featured on ProductHunt (200+ upvotes), ~50k monthly website visits (SimilarWeb estimate)
Market Size
The global graphic design software market was valued at $4.4 billion in 2023 (Grand View Research)
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.
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.
AI GEO Audit: AI Search Tracking Tool
Improve AI Visibility in ChatGPT, Gemini & Perplexity
15
Problem
Users manually track brand visibility in AI search engines like ChatGPT, Gemini, and Perplexity, leading to inefficiency and potential gaps in insights.
Solution
A dashboard/AI agent that automatically tracks brand presence across AI platforms, identifies visibility gaps, and provides actionable insights to boost AI-driven search performance by up to 25%.
Customers
Digital marketers, SEO specialists, and brand managers focused on optimizing AI search engine visibility.
Unique Features
Tracks visibility across multiple AI platforms (ChatGPT, Gemini, Perplexity), offers actionable insights tailored to AI-driven search gaps, and measures performance improvements quantitatively.
User Comments
Simplifies AI search tracking
Actionable reports save time
Helps identify visibility gaps
Improves AI SEO strategy
Easy-to-use dashboard
Traction
Newly launched on ProductHunt (exact user/revenue data unavailable), positioned in growing AI-driven SEO niche.
Market Size
The global SEO market is valued at $50 billion, with AI-driven SEO tools rapidly gaining traction.
M:AI Search & Recommendation platform
Discover a truly helpful AI-powered site search for Shopify
7
Problem
Users struggle with ineffective search functions on their online stores, leading to poor customer experience, missed sales opportunities, and inability to handle typos/synonyms.
Solution
An AI-powered search & recommendation platform for Shopify that uses semantic search to understand customer intent, recognize synonyms, and correct typos. Example: Automatically displays relevant products even with misspelled queries.
Customers
Shopify store owners, e-commerce managers, and digital marketers focused on improving conversion rates and user experience.
Unique Features
Semantic search tailored for e-commerce, real-time typo correction, synonym recognition, and deep integration with Shopify’s ecosystem.
User Comments
Improved search accuracy
Increased conversion rates
Easy Shopify integration
Reduced customer frustration
Enhanced product discovery
Traction
Specific traction data (e.g., users, revenue) not provided in the input. Video demo available on Vimeo (1107118133).
Market Size
The global e-commerce AI market is projected to reach $16.8 billion by 2030 (Grand View Research, 2023).
Quetta Browser × Perplexity AI Search
Quetta for Android now has an AI search engine built in
46
Problem
Users experience a fragmented process with traditional browsers and search engines, struggling with inefficient search results and intrusive ads that hinder their online browsing experience.
Solution
Quetta Browser is an Android app with an AI-based ad blocker that integrates Perplexity AI Search, providing users with enhanced search capabilities and a concise browsing experience without disruptive ads.
Customers
Android users looking for a better internet browsing experience, including tech-savvy individuals, AI enthusiasts, and those annoyed by ads.
Unique Features
The integration of AI search engine Perplexity AI and a built-in AI-based ad blocker are unique to Quetta Browser.
User Comments
Since the product is quite new, user comments may not be readily available.
User feedback needs to be assessed on platforms like Product Hunt or through app reviews.
Comments usually address usefulness, user interface, performance, and uniqueness.
Users may compare it against other popular browsers.
How well the AI search enhances user experience would be a focus.
Traction
Look for user reviews, download stats, and growth trends on the Google Play Store or Product Hunt updates.
Data such as MRR or ARR is typically not disclosed for browser apps.
Traction can be determined by app ratings and total downloads.
Check if the app has received media coverage or endorsements.
Market Size
As of the global mobile web browsers market, it was valued at $22.4 billion in 2021.