Meet The Cloud Company Taking Customers From Amazon and Google
AI-native startups are running out of room at AWS and Google.
The big hyperscalers – Amazon, Google, and Microsoft – built their cloud infrastructure for enterprise companies with big budgets, big teams, and time to burn on complexity.
An AI startup trying to get production inference workloads running fast does not fit that model. Too expensive. Too complicated. And right now, capacity is constrained as AI demand accelerates faster than the giants can build it.
DigitalOcean (DOCN) identified that gap and built directly into it.
They repositioned the entire company around what they call the Agentic Inference Cloud.
Production-ready GPU infrastructure paired with a full cloud stack, built specifically for AI-native companies that need to move from prototype to production without the overhead of juggling five different providers.
The pitch is not complicated: enterprise-grade performance, startup-grade simplicity, predictable costs.
It is working in a way that the stock chart already figured out before most investors did.
AI startups are actively moving workloads off the big hyperscalers and onto DigitalOcean.
One client cut inference latency by 40%. Another cut training cycle times in half. Management says demand for AI inference on their platform is currently exceeding supply, and pricing is holding or rising as a result.
They just acquired Katanemo Labs to push further into agentic AI infrastructure. They are adding 31 megawatts of new capacity across three facilities this year to keep up.
Here is where it gets interesting for traders…
DigitalOcean is a $9.7 billion company. The companies it is taking customers from are worth hundreds of billions each.
The giants are not nimble enough to serve the AI startup market the way DigitalOcean can. That asymmetry is a real competitive advantage and it is showing up in the numbers.
Last quarter beat earnings estimates. Gross margin is near 60%. Revenue growth guidance for 2026 is 21%, with management targeting 30% in 2027.
17% of the float is short right now.
That means a meaningful number of traders are actively betting against a company that just posted a clean earnings beat, raised forward guidance, is taking market share from the largest cloud providers on the planet, and has a chart that has been pointing in one direction for the better part of a year. That short interest is not a warning.
On a setup like this one, it is fuel.
Now, onto my favorite part, the chart.

The trend is stacked and clean on both the daily and the weekly timeframe. Stacked EMAs means the shorter-term moving averages are sitting above the longer-term ones in the right order, confirming the trend is pointing in one direction across every timeframe.
That is the first thing I look for before anything else gets my attention. No stacked EMAs, I move on. DOCN has them on every timeframe I check.
On top of that, a squeeze is setting up. A squeeze occurs when the Bollinger Bands compress inside the Keltner Channels.
Bollinger Bands measure price volatility and contract when the market quiets down. Keltner Channels are volatility-based envelopes around a moving average. When the Bollinger Bands tighten inside those envelopes, it signals that momentum is coiling inside the trend.
The market is taking a breath. When that energy releases, the move that follows inside a strong trend tends to be significant.
Trend. Pattern. Squeeze. All three are present on DOCN right now.
Now add the catalyst…
Your Action Plan
Earnings are May 5 before the market opens.
A hard date is sitting right in front of this setup. 17% short float heading into that date. A squeeze coiling on stacked EMAs on the daily and the weekly.
When momentum releases heading into an earnings event on a heavily shorted name with this kind of trend behind it, the conditions for a real move are in place.
If I move on this, it will happen live during Daily Profits Live.
That is where every trade gets placed, every entry gets called, and every exit gets managed in real time.
If you want to be in the room when it happens, the link is here.
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