You can now generate insights tied to recent Product Hunt launches, including product name, tagline, launch date, category tags, vote count, and more. This makes it easy to identify when a company is actively going to market, launching a new initiative, or positioning in a competitive category—perfect context for timely, relevant outreach.
This is especially valuable for GTM, Product, and Growth personas, where launches often signal budget, urgency, or a shift in strategy.
Coming Soon: With the upcoming Signal Engine release, you’ll be able to automatically track Product Hunt launches as signals and have companies suggested to you the moment they go live—no manual research needed.
We’ve added full support for surfacing a prospect’s recent Twitter/X activity.
Just pass contactEmail or contactLinkedinUrl in your request—Autobound will resolve the correct handle and return profile metadata, recent tweets, and engagement stats. Use enabledInsights / disabledInsights to control whether tweets are referenced in generated content.
We’ve launched two powerful new POST endpoints that allow you to query rich B2B contact and company data using highly flexible filters. This update enables users to programmatically retrieve structured data on millions of companies and decision-makers with pinpoint control.
Example Use cases:
Find sales leaders at Microsoft in California. Use filters like domain, department, and location to surface precise outreach targets—no manual research required.
Find every Chief Revenue Officer at $200M+ companies. Combine title and revenue filters to instantly identify senior buyers—ideal for pipeline building or TAM analysis.
Product Managers can build a contact suggestion feature. Show users the right people to reach out to when they land on a target account page—powered by dynamic queries to our B2B contact API.
RevOps teams can enrich contacts in a territory automatically. Run scheduled queries by geo, title, or company size to keep CRM records fresh and actionable—no CSVs required.
🧑💼 POST /filter-contacts
Search B2B contact records using attributes like:
Demographic filters: FirstName, LastName, PersonalCity, PersonalState, PersonalZip, Gender, AgeRange, etc.
Professional filters: JobTitle, Department, SeniorityLevel, LinkedInUrl
Company context filters: CompanyDomain, CompanyName, CompanyNaics (partial support), and more
Each response includes rich fields like email, phone, LinkedIn, location, and job-level metadata. Supports pagination and sorting by fields such as FirstName, LastName, and UpId.
Current Location: Understand exactly where a prospect is based today, so you can reference local events, communities, or news. Past Locations: Quickly see prior places they’ve worked or lived, which might offer shared experiences or networking ties. Company HQ: Recognize which region the company calls home, providing context for corporate culture, local market conditions, and potential scheduling considerations. Contextual Relevance: Leverage location data to build stronger rapport, especially if you share a common location or have local customer references. Customizable Control: Enable or disable location insights in your requests so you only get data when needed.
Specify "insightSubtype": "workExperienceLocationProfile" to retrieve the new location profile insight directly.
Example Payload
Below is a sample data block illustrating the information we gather under the workExperienceLocationProfile subtype:
{
"locationProfile": {
"currentLocation": "Orange County, California, United States",
"previousLocations": [
"Greater Chicago Area",
"Tel Aviv, Israel",
"Herzliyya, Tel Aviv, Israel",
"Ramat Aviv, Israel"
],
"companyLocation": "Chicago, US"
}
}
Example Output
"I noticed you’re currently in Orange County – we’re hosting a local event on creating pipeline with genAI. Thought you might be interested!"
By referencing a prospect’s move from Chicago to Orange County, for instance, you can spark meaningful dialogue that acknowledges their new region and establishes deeper rapport.
Unlock Location-Driven Personalization
Connect your data sources or CRM to automatically surface location context for every prospect. Whether you’re inviting them to an event, referencing a shared city, or acknowledging prior workplaces, the Work Experience Location Profile insight streamlines your ability to speak your prospect’s language in every outreach.
Our new Email History insight transforms your inbox data into actionable relationship intelligence. Now you can programmatically access comprehensive engagement metrics and conversation context with prospects across your entire organization.
Key Features:
Complete Relationship View: Access metrics on total emails, response rates, and engagement patterns across all team communications
Thread-Level Intelligence: Analyze which conversations gained traction with detailed metrics on each email thread
Team-Wide Visibility: Track interactions between all team members and prospect organizations to identify the strongest relationship channels
Clean, Structured Data: Receive optimized API responses focused on meaningful engagement, with threads categorized by response status
The API delivers both high-level metrics and granular thread details, including email content previews, enabling truly personalized follow-ups based on actual conversation history. Whether integrated into your existing workflow tools or accessed via our platform, Email History empowers sales teams to make data-driven decisions about when, how, and what to communicate to prospects.
Connect your team's inboxes today and transform random email exchanges into your most strategic sales asset.
We're excited to introduce our new Employee Breakdown & Growth insight, giving you valuable visibility into your prospects' organizational structure and priorities.
This insight provides:
Detailed departmental headcount distribution
Year-over-year growth rates across 25+ departments
Overall company growth metrics (6-month, 1-year, 2-year)
Smart analysis to quickly identify focus areas and strategic shifts
Use these metrics to create more relevant outreach by referencing actual organizational priorities, spotting departmental investments, and naturally connecting your solution to their growth areas.
Available now via employeeBreakdownAndGrowth subtype in both generate-insights and generate-content endpoints.
We've standardized the way you control insight generation across our APIs by improving our insightSubtypes parameter on the generate-insights endpoint. This brings the same granular insight control you're familiar with from generate-content endpoint to our generate-insights endpoint.
Feature Details
You can now specify which insights you want using the insightSubtypes array parameter in generate-insights requests, just like you do in generate-content:
We've added support for Gemini Flash 1.5 as a new model option while deprecating fine-tuned models across all endpoints. This update brings ultra-fast generation capabilities to our API while streamlining our model offerings.
New Model Details
The Gemini Flash 1.5 model offers:
1-3 second response latency
High-quality output comparable to base models
Optimized for high-volume requests and real-time applications
Example usage in generate-content
{
"model": "gemini_flash_1.5"
}
Important Deprecation Notice
All fine-tuned model endpoints have been deprecated. Requests to these endpoints will now return an error. Please migrate your applications to use our base models instead.
We've standardized our insight taxonomy to make it more intuitive and powerful. You can now use the same subtype names across both our generate-insights and generate-content APIs. Each request can include multiple subtypes, giving you more precise control over which insights appear in your responses.
Check out our complete list of available subtypes to see what's possible. Here's a quick example of using multiple subtypes in a single request:
