HUGEai | Devpost

Inspiration

As part of our existing company's growth strategy, we send 30k cold emails per month. It's time-consuming and sucks, but makes us a lot of money. A lot of companies don't do it because it's too hard to set up correctly or because they don't think it works.

What it does

Send 30,000 cold emails every month and book hundreds of qualified meetings on Autopilot.

Finds Leads > Verifies Emails > Creates Email Campaign > Writes Copy > Sends Emails > Replies

How we built it

We used Apollo to find leads, ZeroBounce to validate, and Instantly.ai to send emails and built different agents to automate each aspect of a great cold email campaign. Our target is a 5% reply rate, which is a high benchmark.

Challenges we ran into

Data Quality and Consistency Ensuring the quality and consistency of the lead data was a significant challenge. Inconsistent or inaccurate data could lead to ineffective outreach efforts.
Integration with Multiple APIs Integrating with various APIs for lead generation, email validation, LinkedIn scraping, and email sending was complex. Each API had its own set of requirements, limitations, and response formats.
Ensuring Personalization at Scale Personalizing emails for each lead at scale while maintaining relevance and accuracy was difficult. Generic emails could reduce engagement and response rates.
Balancing Automation and Human Intervention Striking the right balance between automation and human intervention was crucial. Over-automation could lead to errors, while excessive human intervention could reduce efficiency.

Accomplishments that we're proud of

So many great AI companies will be built in the next few years. So many great AI companies will also die in the next few years because they can't market themselves. We're helping fix that.

What we learned

Importance of Iterative Feedback Incorporating human feedback in the lead approval process helps refine and improve lead quality, demonstrating the value of iterative processes.