Craft HARO Response
Forward the HARO query email with your expertise/data. Get a media-ready response that journalists actually select within the optimal word count.
Draft an email
Subject
FWD: HARO Query - Tech Startup Funding Trends for Forbes Article
---------- Forwarded message ---------
From: sarah.martinez@helpareporter.com
Date: Tue, Mar 12, 2024 at 2:47 PM
Subject: HARO Query - Tech Startup Funding Trends for Forbes Article
To: media-queries@helpareporter.com
Query: I'm writing about how AI startups are securing funding differently than traditional tech companies. Looking for VCs or startup advisors who can share specific examples of how due diligence has changed, new metrics investors are tracking, or unique funding structures they're seeing. Need responses by 6 PM EST today for tomorrow's publication.
Publication: Forbes
Deadline: 6 PM EST today
Reporter: Jessica Chen, Senior Technology Reporter
---
My expertise: I'm a partner at Meridian Ventures where we've led 23 AI startup investments totaling $180M since 2022. I've noticed three major shifts in how we evaluate AI companies compared to traditional SaaS startups, particularly around data quality metrics and model performance benchmarks that didn't exist in our due diligence process five years ago.
From: sarah.martinez@helpareporter.com
Date: Tue, Mar 12, 2024 at 2:47 PM
Subject: HARO Query - Tech Startup Funding Trends for Forbes Article
To: media-queries@helpareporter.com
Query: I'm writing about how AI startups are securing funding differently than traditional tech companies. Looking for VCs or startup advisors who can share specific examples of how due diligence has changed, new metrics investors are tracking, or unique funding structures they're seeing. Need responses by 6 PM EST today for tomorrow's publication.
Publication: Forbes
Deadline: 6 PM EST today
Reporter: Jessica Chen, Senior Technology Reporter
---
My expertise: I'm a partner at Meridian Ventures where we've led 23 AI startup investments totaling $180M since 2022. I've noticed three major shifts in how we evaluate AI companies compared to traditional SaaS startups, particularly around data quality metrics and model performance benchmarks that didn't exist in our due diligence process five years ago.
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