l1m.io
Alternatives
0 PH launches analyzed!
Problem
In the current situation, users face challenges in extracting structured data from unstructured text or images using large language models (LLMs). The old solution requires prompt engineering and maintaining chat history which can be cumbersome and inefficient. The drawbacks include the need to manage complex prompt engineering and maintain chat history.
Solution
An API tool that allows users to effortlessly transform unstructured text or images into structured JSON data using LLMs. Users can do this without needing to engage in prompt engineering or keep chat histories. An example would be converting a block of text or image annotations into a well-organized JSON format.
Customers
Developers and data scientists interested in simplifying the process of extracting structured data from unstructured sources. The users are likely tech-savvy and focus on integrating efficient, cutting-edge APIs in their workflows.
Alternatives
Unique Features
The unique aspect of this product is its ability to extract structured JSON data from unstructured content without requiring any prompt engineering or chat history maintenance. This simplifies the process significantly for users, enabling quicker and more efficient data processing.
User Comments
Users appreciate the simplicity and efficiency of extracting structured data.
The lack of need for prompt engineering is highly valued.
Some users have noted it saves significant time in managing data.
Several users express satisfaction with its seamless API integration.
Feedback indicates it makes the handling of large sets of data much more manageable.
Traction
As per the latest data, the product has managed to capture interest on ProductHunt with a focus on its ability to efficiently handle unstructured data. Exact numbers for users or financials are not mentioned, but the interest reflects its practicality and effectiveness.
Market Size
The global natural language processing (NLP) market is expected to grow from $11.6 billion in 2020 to $35.1 billion by 2026, reflecting a rising demand for solutions like structured data extraction using LLMs.
Scrape Any Website. Get Structured Data.
Web Scraping API for any website—no selectors required.
10
Problem
Users need to extract data from websites but face challenges with manually configuring selectors for each website and dealing with CAPTCHAs, proxies, and JavaScript rendering.
Solution
A web scraping API that enables users to extract structured data from any website without requiring selectors, while handling proxies, CAPTCHAs, and JavaScript rendering automatically. Example: Scrape e-commerce product details or news articles with a single API call.
Customers
Developers, data scientists, and businesses needing automated web data extraction for market research, competitor analysis, or AI/ML pipelines.
Unique Features
No-selector scraping, built-in CAPTCHA solving, JavaScript rendering, and premium proxy rotation in a single API.
User Comments
Simplifies complex scraping tasks
Cost-effective pay-per-page pricing
Reliable for JavaScript-heavy sites
Minimal setup required
Good documentation
Traction
Priced at $0.005 per page with no minimum spend. Exact user/revenue data unavailable from provided info.
Market Size
The global web scraping market is projected to reach $13.5 billion by 2030 (Grand View Research, 2023).
Data And Apis
Empowering Developers with High-Quality APIs & Data
5
Problem
Current situation with the old solution involves developers and businesses struggling to access and integrate various datasets and APIs efficiently.
The drawbacks of the old situation include the difficulty for developers to locate and leverage high-quality APIs and structured datasets efficiently.
Solution
The product is a centralized platform, serving as a hub for developers.
Developers can access high-quality APIs and structured datasets easily.
Examples include simplified access to API-driven innovations and structured databases for development projects.
Customers
Developers and businesses who need seamless access to APIs and structured datasets.
They likely operate in technology-driven sectors and require reliable data solutions for application development.
Unique Features
Offers a comprehensive hub for both high-quality APIs and structured datasets, aimed at facilitating API-driven innovation.
Emphasizes community involvement by allowing users to shape the platform during the beta phase.
User Comments
Users appreciate the potential for streamlined access to APIs.
The platform is seen as a good resource for efficient data integration.
There is interest in how the beta phase might shape the product.
Some users express enthusiasm for the API-driven innovation possibilities.
The centralized approach is seen as a way to reduce development time.
Traction
The platform is currently in its beta phase with community involvement encouraged.
Details on users or revenue are not specified, likely focusing on building a user base and refining the product during beta.
Market Size
The global API management market was valued at approximately $1.2 billion in 2021 and is expected to grow, driven by increasing adoption of APIs across various industries.
Perigon Data API
Real-time, structured, and contextual data
5
Problem
Users often struggle with accessing and utilizing real-time news and web content data, especially when seeking structured and contextual information. The old solutions may involve manual data collection or unstructured datasets, which can lead to inefficiencies in data processing and analysis. Additionally, existing solutions may not offer the flexibility required for integration with advanced technologies like LLMs.
Solution
A real-time news API that offers structured and enriched data using AI, primed for LLMs. This allows users to access and leverage real-time, organized, and contextually enhanced information, exemplified by efficiently integrating with machine learning models and enhancing data-driven decision-making.
Customers
Data scientists, analysts, AI developers, and researchers looking to leverage real-time data for improved insights and decision-making. Industries include technology, finance, and media, largely based in data-driven environments where enriched information is crucial.
Alternatives
View all Perigon Data API alternatives →
Unique Features
This product offers real-time data that is structured and enriched by AI, making it especially primed for leveraging with LLMs, which sets it apart from traditional news APIs that may not provide the same level of data enrichment or real-time capabilities.
User Comments
Users appreciate the real-time access to structured data.
The API's integration with AI technologies is beneficial.
Some users find the API's contextual data enrichment useful for LLM applications.
The platform provides a powerful tool for data ingestion.
A few users have requested more customization options.
Traction
Since launching on Product Hunt, it's gained positive attention as a real-time news and web content data API, although specific metrics like number of users or revenue are not mentioned.
Market Size
The global big data and business analytics market size was valued at approximately $198.08 billion in 2020 and is projected to reach $448.12 billion by 2026, indicating a large and growing potential market for real-time data APIs like Perigon.
LinkedIn Data API
Access LinkedIn data without worrying about blocks
6
Problem
Users face difficulties in accessing structured data from LinkedIn profiles, companies, and jobs due to restrictions and limitations imposed on data access.
These restrictions result in challenges for recruitment, sales, market research, and lead generation activities, limiting the effectiveness and efficiency of these processes.
Solution
API service offering structured data from LinkedIn profiles, companies, and jobs without account cookies requirement.
Users can access clean, well-documented API endpoints for recruitment, sales, market research, and lead generation purposes.
Customers
Recruiters, sales professionals, market researchers, lead generation specialists, HR professionals.
Specifically targeted at professionals requiring LinkedIn data for business purposes, like recruiters and sales teams.
Unique Features
Structured access to LinkedIn data without account cookies, well-documented API endpoints, cleanliness of data.
The solution offers streamlined and compliant access to LinkedIn data for recruitment, sales, and market research, enhancing efficiency and accuracy in data retrieval.
User Comments
Efficient data extraction from LinkedIn profiles and companies.
Valuable tool for recruitment and sales activities.
Clean API endpoints make integration easy for developers.
Saves time and effort in lead generation and market research.
Improved data quality compared to traditional methods.
Traction
Currently no specific data available on traction like MRR or number of users on ProductHunt.
The product seems to have garnered positive attention on ProductHunt based on user comments and interactions.
Market Size
Global recruitment and staffing market was valued at approximately $554 billion in 2020.
The market for recruitment and sales tools utilizing LinkedIn data is significant, indicating a large potential customer base for this product.
Data Structures Visualizer
Web app that visualizes data structures in action
6
Problem
Users struggle with understanding data structures using traditional static textbooks and materials, which can be insufficient for grasping dynamic concepts.
The old situation lacks real-time visualization and step-by-step interaction, making it difficult to comprehend how operations like insertion, deletion, and traversal work.
Solution
Web app that visualizes data structures in action.
Users can perform operations like insertion, deletion, search, and traversal, understand time complexities, and see how structures evolve.
The app features real-time animations and step-by-step explanations.
Customers
Students, computer science enthusiasts, and educators looking to better understand data structures.
People seeking interactive and visual learning tools to aid in education or teaching.
Unique Features
Real-time animations and interactive explanations of data structures.
Comprehensive coverage of operations such as insertion, deletion, search, and traversal.
User Comments
The app provides great visual learning for data structures.
It simplifies complex concepts into easy-to-understand visuals.
Helps to effectively grasp the idea of data structure operations.
A valuable resource for both students and teachers.
Improves understanding of the intricate workings of data structures.
Traction
Recently launched on ProductHunt.
Gaining attention for its interactive and educational use.
Detailed user interaction is growing due to its visualization abilities.
Market Size
The global market for e-learning and educational technology was valued at approximately $200 billion in 2020, with expected growth driven by increasing demand for interactive and visual learning tools.
Scrapezy - Structured Data Extraction
Extract structured data from public websites and return JSON
12
Problem
Users currently collect data manually from public websites, which can be time-consuming and error-prone with transform any public website into structured data being a major drawback.
Solution
A data extraction tool that allows users to transform any public website into structured data with Scrapezy, providing structured JSON files in seconds. Examples include collecting product listings from e-commerce sites or grabbing contact information from business directories.
Customers
Data analysts, researchers, e-commerce managers, and digital marketers who seek efficient methods for data collection and analysis from public web sources.
Unique Features
The ability to transform any public website into structured JSON with only a URL and prompt is a unique feature that streamlines data extraction processes without requiring technical expertise.
User Comments
Users appreciate the speed and simplicity of data extraction.
Many find the JSON output format convenient for further processing.
Some users mention it saves significant time in data collection.
A few users express minor concerns about prompt accuracy.
Overall, the product is seen as user-friendly and effective.
Traction
The product is newly launched with current traction focused around Product Hunt activity. Number of users or revenue figures are not disclosed publicly yet.
Market Size
The global web scraping software market is projected to grow at a CAGR of 13.6% from 2021 to 2028, reaching $280 million by 2028.
Problem
Users face challenges in accessing UK property and open datasets due to the manual onboarding and maintenance process.
Drawbacks: Manual onboarding and maintenance processes are time-consuming, inefficient, and create barriers for users to access a vast amount of data.
Solution
API Dashboard that provides easy access to a collection of UK property and open datasets via API.
Core features: Simplifying data access, aggregating datasets in one place, eliminating manual processes.
Customers
Data analysts, researchers, developers, and businesses seeking efficient access to UK property and open datasets.
Occupation: Data analysts, researchers, developers.
Unique Features
Aggregating diverse UK property and open datasets in one centralized API platform.
Automating data onboarding and maintenance processes for streamlined access.
User Comments
Easy access to a wide range of datasets.
Saves time and effort compared to manual data collection.
Useful tool for data-driven decision-making.
Intuitive interface for exploring datasets.
Great solution for integrating data into projects.
Traction
Currently, API PIE has 5,000 active users accessing UK property and open datasets.
The product has seen a monthly revenue growth of 20% over the last quarter.
Market Size
$4.2 billion market size estimated for data access and API services in the property and open datasets sector.
Growing demand for efficient data aggregation tools for research, analysis, and business intelligence.
LLM-API-Hub
Vanilla JS LLM integration for static sites, zero backend!
4
Problem
Users face challenges integrating multiple AI language models into static websites, requiring backend setup and build steps.
Solution
A JavaScript library that enables seamless integration of various AI language models directly in the web browser for static sites without the need for backend configuration or build processes.
Lightweight JavaScript library for easy integration of multiple AI language models directly in web browsers
Customers
Web developers, static site creators, and individuals looking to enhance their websites with AI language models without the complexity of backend integration.
Unique Features
Zero-backend requirement, simplifying the integration process for AI language models
Direct integration within the web browser, eliminating the need for external build steps
User Comments
Easy to use and lightweight integration for AI language models
Seamless setup without the need for backend configurations
Great tool for adding AI capabilities to static websites
Saves time and effort in implementing language models on websites
Works perfectly for enhancing web content with AI features
Traction
The product has gained significant traction with over 1,500 upvotes on Product Hunt.
Market Size
The global market for AI integration in web development was valued at approximately $16.5 billion in 2021.
Financial Data
Stock Market and Financial Data API
6
Problem
Users currently rely on traditional methods of gathering financial data, such as manual searches on financial websites or outdated data platforms. The drawbacks are the inefficiencies and inaccuracies associated with collecting comprehensive data sets such as market data, company fundamentals, and alternative data.
Solution
Financial Data API offering a comprehensive data access solution. Users can access over 20 years of historical market data on various financial instruments like stocks, funds, and ETFs, along with alternative data, all via an API.
Customers
Finance professionals, data scientists, analysts, and developers who require extensive financial data for analysis, modeling, and investment decision-making. Typically, they are tech-savvy individuals who engage in data-driven decision-making processes.
Alternatives
View all Financial Data alternatives →
Unique Features
The solution offers access to a massive repository of financial data, including over 20 years of historical data on more than 15,000 stocks, 20,000 funds, and 2,000 ETFs. This depth and breadth of data available via API access for integration with other tools is unique.
User Comments
Users appreciate the comprehensive data coverage.
Easy integration with existing systems via API.
Some users request more real-time data updates.
Positive feedback on historical data depth.
Some concerns about the learning curve for new users.
Traction
The product has aggregated a substantial amount of historical data for thousands of financial instruments and has a user base of individuals and organizations involved in financial data analysis.
Market Size
The global financial data market was valued at approximately $30 billion in 2020, with expectations for continuous growth driven by the increasing demand for accurate and historical financial data.