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Firebender.com recently launched!
"Discover the best sales leads using natural language in seconds"
Qualify every venture-backed company using natural language over scraped websites, job listings, LinkedIn posts, and more to discover the best leads to sell to.
- Try it for free at https://firebender.com and please give them feedback
Founded by Aman Gottumukkala & Kevin Tang
❌ Problem: Noisy Leads Lists
Existing lead gen tools like Apollo and Crunchbase only offer basic filtering options (e.g. employee count and industry tags) which results in a surplus of irrelevant leads.
This requires sales teams and founders to spend hours a day manually qualifying companies by researching websites, job postings, and Linkedin, forcing them to miss out on great leads and wasting effort on bad leads.
🔥 Solution: Firebender
Firebender eliminates noisy lead lists and days of researching by automatically qualifying thousands of companies in seconds. You can run any natural language query for any company to find deeper insights and qualify leads.
Ask questions like:
- “Does this company use large language models?”
- “Does this company need SOC 2 compliance?”
- “What types of clinic patients does this company serve?”
👊 Firebender In Action
One of their Series D customers was able to find 1000s of companies that have an FAQ on their website, have a support team of at least 10 employees, and are consumer-facing.
They also generated and exported the emails and LinkedIn profiles of key executive decision-makers to start a conversation with!
Check out their demo video: HERE
