You raised $20M to scale, but you're just burning it on the same broken processes at 2x the cost.
You have 3 teams. Of those, only 1-2 are stable enough to actually ship product. That's 66% of your engineering budget generating zero revenue.
Progress is slow, deadlines slip, morale is low and the team actually needs a break. But they're on the treadmill of feature churn.
Your velocity sucks, your tools suck, you have process debt, and you don't know where to start. Each month burns another $250k while competitors ship twice as much with half the engineering team. So your team effectively costs double, for half the value.
And you have a mandate to use AI. The board expects AI to fix your efficiency metrics. Your investors are asking 'Why are your costs scaling up? Why aren't you just using AI?'
$300k/year engineer = 6 months recruiting + $150k burned before they ship anything
6 months later: Your best engineers quit, top candidates said no, and the problem's worse.
New hire reports to director with 20 other reports. No bandwidth to actually direct anyone.
That $300k hire? Strong start, but in 6 months they're just another firefighter.
You lack the organizational skills to manage the engineer that you need. What you actually need is outcomes, not another person to manage.
We transformed Chime from shipping quarterly to shipping weekly. Now doing it for Series B startups.
Our edge: We traverse your entire organization, identify the real problems, and actually fix them. As outsiders, we can move in ways employees simply can't.
We're talented engineers who care about business outcomes, and don't need hand holding.
We are talented engineers who understand business. We identify the real issue day one and start shipping.
Stop firefighting, start shipping. In 30 days you'll be shipping what currently takes you 90.
You'll hit your Q3 targets without adding headcount.
Chime: Engineering cycle time reduced from 6 months → 1 week
If you're like BrightHire, Instrumentl, or similar.
Just raised $20M+ but your engineering velocity hasn't scaled with funding
Board mandate: 'Implement AI', and budget approved - but your team doesn't know where to start
Let me show you how we use these tools.
You hired great engineers but they got absorbed into the same dysfunctional patterns
Without explicit authority to fix velocity, nothing ultimately changes.
Your engineers tried the AI tools, got a bad first impression (crypto flashbacks), and churned out
Now they laugh about how bad ChatGPT's code is and write everything manually.
With your technical and operational leaders. Walk away with clear recommendations.
We identify the real issue day one and start shipping.
In 30 days you'll be shipping what currently takes you 90.