Heatseeker
Market testing and product research · Workplace tools
How they use Tavily
In August 2024, Heatseeker product manager Razii Abraham described using Tavily to research customers’ companies and classify them as B2B or B2C. The Python workflow used Tavily’s API to cross-reference public internet sources by company name, then passed company and product information to GPT-4o for classification. Tavily shared the account publicly.
The task supported new user engagement initiatives because business-model classifications were missing from Heatseeker’s database. Abraham said the approach eliminated manual categorization without burdening the engineering team. He also said the workflow maintained data privacy by using public information. The classifications helped Heatseeker tailor content and resources to users’ business models.
Sources
1 sourceCompany context
heatseeker.aiHeatseeker makes an AI customer research platform for marketing, insights, product and growth teams. Its main tools combine live market experiments with synthetic personas built from customer data and observed behavior. Teams can test product concepts, audience segments, positioning, messages and advertising creative through campaigns on Meta, LinkedIn and TikTok. They can also question simulated customer audiences and compare predictions with real responses. The platform brings these results together to help businesses choose products, campaigns and market strategies before committing larger budgets.
Heatseeker — PlatformDocumented financing · private company
Seed target: $5M. First-close amount: undisclosed.