How MiddlewareHQ used Updately's AI to generate $1.3M in pipeline by targeting engineering leaders searching for DORA Metrics solutions

Dhruv Agarwal

Co-Founder & CEO, MiddlewareHQ

$1.3 MillionRevenue generated in the last 3 months

$1.3M

Pipeline Generated

42%

Reply Rate

Enterprise Meetings / Month

“The AI sauce is the magic. It removes all the noise and only gives us relevant, high-intent ICPs. It's the best match fit we've ever seen.”

Dhruv Agarwal

Co-Founder & CEO, MiddlewareHQ

Signals & Intent Detected

How Updately identified high-intent buyers for MiddlewareHQ

Updately's AI continuously monitored these buying signals on LinkedIn to surface the right prospects at the right moment.

📊

DORA Metrics Discussions

Engineering leaders posting about measuring deployment frequency, lead time, change failure rate, or MTTR — indicating active interest in DORA.

🚀

Engineering Velocity Posts

CTOs and VP Eng discussing how to speed up releases, reduce cycle time, or improve developer productivity metrics.

📈

Hiring Signals

Companies hiring Platform Engineers, Engineering Managers, or DevOps leads — a strong indicator they're investing in engineering excellence.

🎤

Conference & Content Signals

Prospects speaking at or attending DevOps/SRE conferences, or publishing blog posts about DORA adoption and engineering productivity.

🔄

Vendor Switch Intent

Prospects posting about frustrations with LinearB, Sleuth, or Jellyfish — or asking for DORA Metrics tool recommendations.

The Challenge

MiddlewareHQ had built a powerful DORA Metrics platform that helps engineering teams measure deployment frequency, lead time, change failure rate, and mean time to recovery. But their go-to-market motion was stuck. Their ideal buyers — VP Engineering and CTO-level leaders actively trying to improve engineering velocity — were notoriously hard to reach through traditional outbound. These technical decision-makers ignored generic sales messages and were skeptical of any outreach that didn't demonstrate deep understanding of DORA and engineering productivity challenges. The team had tried social listening tools and manual LinkedIn outreach, but the noise-to-signal ratio was terrible — they were wasting 80% of their time on irrelevant mentions and wrong-fit prospects.

The Updately Solution

Updately's AI-powered ICP matching became MiddlewareHQ's secret weapon. Instead of broad keyword monitoring, they configured Updately to detect specific high-intent signals: engineering leaders posting about DORA Metrics challenges, CTOs discussing how to improve deployment frequency, VPs of Engineering frustrated with slow lead times, and companies publicly committing to engineering excellence initiatives. Updately's AI then cross-referenced each signal against MiddlewareHQ's ideal customer profile — filtering out hobbyists, students, and non-decision-makers — to surface only the highest-intent, best-fit prospects. Every outreach message referenced the specific DORA challenge the prospect had mentioned, making it feel like a peer reaching out rather than a vendor pitching.

LinkedIn Outreach in Action

From signal to closed deal — a real example

Here's exactly how Updately turned a LinkedIn buying signal into revenue for MiddlewareHQ.

Step 1

Signal Detection

Updately detected a VP of Engineering posting about struggling to measure DORA Metrics across 15 engineering teams and wanting to improve their deployment frequency from weekly to daily.

Flagged as critical-intent prospect with 97/100 score

Step 2

ICP Verification

AI verified the prospect matched MiddlewareHQ's ICP: B2B SaaS, 200+ engineers, Series C funded, actively investing in engineering productivity.

Perfect ICP match — 5 out of 5 criteria met

Step 3

Technical Personalization

Updately researched the prospect's LinkedIn posts about DORA adoption challenges, their company's recent engineering blog on reducing lead time, and their tech stack.

Crafted message referencing their specific DORA Metrics challenges and deployment bottlenecks

Step 4

Peer-Level Outreach

Sent a connection request from Dhruv, referencing the prospect's post about DORA adoption and sharing how similar companies improved deployment frequency 3x.

Accepted same day, replied: 'This is exactly what we need'

Step 5