Main

Create Ruby SDK for API integration

We are developing an official SDK for Ruby, allowing developers to easily interact with our public API endpoints in their applications. This package will be available via RubyGems for seamless installation and integration.

Monitor and integrate funding rounds into company profiles

We need to analyze websites that announce funding rounds and integrate this data into our company profiles. This will allow us to track recent fundraises, provide real-time alerts, and enrich company financial data with structured funding information. 🔹 Why? • Enables real-time insights into newly funded companies. • Helps users track startup growth and investment trends. • Improves company profiling with detailed financial event tracking. 🔹 How it works? 1. Identify key funding data sources: • Websites like Crunchbase, PitchBook, CB Insights, TechCrunch, Dealroom, and AngelList. • Public announcements, press releases, and investment databases. 2. Develop an AI-powered data extraction pipeline: • Use web scraping and AI NLP models to analyze funding news. • Extract funding amount, investors, round type (Seed, Series A, B, etc.), and date. 3. Structure and store funding data in company profiles: • Add a funding_rounds field in the JSON profile: { "funding_rounds": [ { "amount": "25M", "currency": "USD", "round": "Series A", "investors": ["Sequoia Capital", "Accel"], "date": "2024-03-10" } ] } 4. Set up real-time alerts for new funding events: • Trigger notifications via webhooks, Slack, and email. • Allow users to subscribe to funding updates for specific industries or companies. 5. Enable search and filtering by funding status: • Add API endpoints to search for companies based on funding rounds. • Allow filtering by investment amount, round type, or date. 6. Ensure data accuracy and validation: • Cross-check funding details across multiple sources before confirming. • Maintain a confidence score for each funding event to track reliability. 7. Automate periodic updates: • Implement a continuous monitoring system to detect new funding events. • Use AI to validate and refine extracted data over time.

Email Integration

Receive new information about a list of companies right from your emails.

[Use-Case] Identify the dominant industries within your customer base.

This use case is currently being written and should be live in the next few days. If you need help or details about it in the meantime, feel free to ping us via the chatbox. We’ll be happy to assist.

[Use-Case] Ask who a company's important users are based on the context we have

[Use-Case] How to use our webhook system

This feature is already available, but a use case is currently being written to explain every detail. Feel free to ping us if you need help regarding this feature.

Model Context Protocol (MCP) Integration

The Model Context Protocol (MCP) is an open standard developed by Anthropic to facilitate secure, two-way connections between AI systems and external data sources or tools. MCP allows developers to expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers. This standardization simplifies the integration process, enabling AI models like Claude to access and interact with various systems, including content repositories, business tools, and development environments.

Slack Integration

This integration is currently being built. Feel free to ping us on the chatbox if you need anything regarding this task.

Create Rust SDK for API integration

We are developing an official SDK for Rust, allowing developers to easily interact with our public API endpoints in their Rust projects. This package will be available via crates.io for seamless installation and integration.

Create Go SDK for API integration

We are developing an official SDK for Go, allowing developers to easily interact with our public API endpoints in Go-based projects. This package will be available via go get for seamless installation and integration.

Next up

Committed and queued

Refresh employee count for better accuracy

We are improving the employee count accuracy in company profiles by continuously refreshing this data to ensure it remains precise and up to date. As part of this update, we are also removing the totalEmployeesExact key from the company profile JSON. 🔹 Why? Ensures real-time accuracy of company size data. Improves data reliability by sourcing information from multiple verified sources. Helps users make better decisions based on up-to-date employee counts. Streamlines the company profile JSON by removing redundant fields. 🔹 How it works? We analyze various online sources to fetch the latest employee numbers. Our LLM model extracts real-time data from company websites. The totalEmployeesExact field is removed, with the updated employee count integrated into the company profile.

In Progress

Actively being built

Usage analytics: track API calls & credit consumption

We are developing a usage analytics dashboard that allows users to track their API call consumption and credit usage in real-time. This feature will provide detailed insights into monthly API calls, credit expenditure, and breakdowns by endpoint to help users optimize their usage. 🔹 Why? • Helps users monitor their API consumption and prevent unexpected credit depletion. • Provides clear visibility into API usage patterns. • Allows businesses to optimize their API strategy based on detailed insights. • Improves transparency and billing awareness for customers. 🔹 How it works? • Users can access their API usage stats from the settings panel. • A dedicated section in the API block displays the number of calls per endpoint and credits consumed. • Monthly reports show total API calls, credit breakdowns, and trends over time. • Users can adjust their plan or optimize their requests based on usage data.

AI-powered /:domain/ask endpoint for company insights via API

We have introduced a new API endpoint, /:domain/ask, that allows users to query detailed information about a company using AI. Users can specify which AI model to use (small or large) and define structured fields to format the response. 🔹 Why? Enables customized and detailed company insights based on user needs. Provides flexibility in response depth with AI model selection. Helps retrieve precise or comprehensive information for companies like Ubisoft. Fully documented in the API reference for easy integration. 🔹 How it works? Users call the /:domain/ask API endpoint with a domain (e.g., ubisoft.com) and their question. They specify the AI model (small for speed, large for depth). Optionally, they define fields to structure the response. The API returns an AI-generated summary with relevant company details.

AI-powered company search from a prompt

We are working on a new feature that enables users to search for companies using a natural language prompt directly from the homepage and the company dashboard. This feature automatically generates filter conditions based on the prompt to help users easily create company segments and lists. 🔹 Why? Simplifies company searches by allowing users to describe what they’re looking for instead of manually applying filters. Saves time by generating precise filtering conditions automatically. Helps users discover similar companies and access detailed company profiles effortlessly. Enhances productivity by enabling actions directly from the search field. 🔹 How it Works? Users enter a natural language prompt (e.g., "Find SaaS companies with 50-200 employees in Europe"). The system automatically applies the right filters and displays relevant results. From this search, users can take direct actions, such as: Finding similar companies. Viewing a detailed company profile. Saving the results as a segment for future reference. Available from both the homepage and the company dashboard for seamless access.

Purchase additional credits on top of subscription

Currently, users with a subscription receive a set amount of credits per month. This feature will allow subscribers to purchase additional credits as a one-time purchase without modifying their existing subscription. 🔹 Why? Provides more flexibility for users who need extra credits. Prevents users from having to upgrade their entire subscription for occasional additional usage. Enhances the overall user experience by offering more control over credit consumption. 🔹 How it Works? Users can buy additional credits directly from their account dashboard. Purchased credits will be available immediately and can be used alongside their subscription credits. Clear pricing and transparency to ensure a seamless experience.

Done

Recently shipped

Signal: dynamic & auto-updating company lists

We have introduced Signal, a feature that allows users to create dynamic company lists that automatically update as new companies matching the list’s criteria are detected by our system. This ensures lists remain up-to-date in real-time without manual intervention. 🔹 Why? Eliminates the need to manually update lists as new companies emerge. Helps track specific market segments (e.g., companies using Nuxt 3 with over 10 employees). Enables real-time business monitoring for new opportunities. Supports automated workflows by sending updates via webhooks. 🔹 How it Works? Users activate Signal on a company list. The system continuously detects and adds new companies matching the defined criteria. New companies appear in real-time on the interface via a socket-based system. Users can also receive new company data via webhooks (e.g., sending updates to Slack). A Max Companies option allows users to set a limit on the list size.

Use case library: step-by-step guides for real-world applications

We have launched a Use Case Library, a dedicated section where users can explore real-world applications of our product. Each use case provides a detailed, step-by-step guide on how to leverage our platform for specific needs, helping users maximize its potential. 🔹 Why? Helps users discover practical ways to integrate our product into their workflows. Provides actionable, step-by-step tutorials to simplify implementation. Supports various business needs, from lead qualification to search engine automation. Enhances user adoption by showcasing real, impactful use cases. 🔹 How it Works? Users access the Use Case Library from the main interface. Each use case includes a detailed guide with implementation steps. Examples of available use cases: Building an automated company search engine using our API. Scoring new user sign-ups to prioritize leads for sales teams. Adding company auto-complete to forms for smoother user onboarding. Clicking on a use case reveals a detailed tutorial, guiding users through each step.

Search engine to find similar companies

We have introduced a feature that allows users to discover similar companies by simply entering a company domain. The system automatically identifies businesses that share key characteristics, helping users find competitors, potential clients, or relevant market players. 🔹 Why? Helps users identify competitors of a specific company. Makes it easy to discover similar businesses to an existing client list. Enables market research by grouping companies with shared attributes. Saves time by automating the search for comparable companies. 🔹 How it Works? Users enter a single company domain or upload multiple domains. The system analyzes key attributes (industry, size, location, etc.) and finds similar companies. Users receive a list of businesses that closely match the provided domains. Results can be added to a list, further filtered, or exported for analysis.

Enrich company lists with file import

We have launched a feature that allows users to enrich their company lists by uploading a file in common formats such as CSV or JSON. Our system automatically matches and identifies companies from the imported data, enabling users to create comprehensive company lists effortlessly. 🔹 Why? Helps users gain additional insights on companies by enriching their existing data. Saves time by automatically mapping companies based on the provided information. Supports multiple data points, including domains and social media URLs (LinkedIn, Facebook, X). Enables users to easily segment and analyze companies from an external source. 🔹 How it Works? Users upload a CSV or JSON file containing company-related data (e.g., domains, LinkedIn URLs, etc.). The system cross-references the data with our database to identify matching companies. Matched companies are automatically added to a new or existing list. Users can view enriched details, apply filters, and take further actions on the list.

Company list analytics & insights

We have released a new feature that provides analytics and visual insights for any company list. This allows users to analyze the composition of their lists through key metrics such as industry distribution, employee count, and revenue segmentation, all displayed with intuitive charts. 🔹 Why? Helps users quickly understand the structure of a company list. Provides actionable insights to refine targeting and segmentation. Saves time by automatically aggregating key company data into visual reports. Enables better decision-making by offering a clear breakdown of industries, company sizes, and revenue ranges. 🔹 How it Works? Users select a company list and click on analytics. The system automatically generates visual breakdowns of: Industry distribution (e.g., % of SaaS, FinTech, Retail, etc.). Employee count segmentation (e.g., 1-10, 11-50, 51-200, etc.). Revenue distribution (e.g., small, medium, large enterprises). Insights are presented in interactive charts for easy interpretation. Users can adjust filters dynamically to refine their analysis.

Create JavaScript & TypeScript SDK for API integration

We are developing an official SDK for JavaScript and TypeScript, allowing developers to easily interact with our public API endpoints in Node.js and frontend projects. This package will be available via NPM for seamless installation and integration. 🔹 Why? • Simplifies API usage by providing a structured SDK instead of raw HTTP requests. • Ensures TypeScript support for improved developer experience and type safety. • Speeds up integration for developers working with Node.js and web applications. • Reduces boilerplate code by handling authentication, requests, and responses efficiently. 🔹 How it works? • Publish an NPM package with full JavaScript and TypeScript support. • Include pre-built methods for all public API endpoints (e.g., fetching company data, searching businesses, enrichment). • Implement automatic authentication handling for API keys. • Provide detailed documentation and usage examples for both backend and frontend projects. • Continuously update the SDK to support new API features and enhancements.