Rosettic launched on Y Combinator's "Launch YC" recently.
Rosettic breaks down cloud costs by product, feature, team, and customer. Rosettic’s SDK seamlessly tracks your cloud usage down to the individual API invocation and database row
"The only tool that shows per-product and per-customer cloud costs."
Founded by Adam Shugar and Micah Wheat. Rosettic’s founders met in college at Stanford University. While deploying web apps together, Adam and Micah came to a frustrating realization: there was no easy way to tell how much any particular feature or API endpoint contributed to total cloud cost. Bringing strategy and sales experience, Micah worked at the Boston Consulting Group. Adam developed his engineering background at Palantir and Apple.
HOW IT WORKS
Rosettic attributes AWS/GCP/Azure costs to features, teams and customers at the endpoint invocation level. This allows companies to optimize pricing and cloud spend and empowers finance to fully account for COGS—with no help from engineering.
With Rosettic, companies get visibility on per-customer and per-product cost information, allowing them to get reliable answers to things like:
1. What’s our margin on Customer A?
2. What’s our margin on Product B?
3. Which usage events drove Customer C’s costs last month?
4. What are our costs likely to be on new Customer D?
Rosettic answers these questions by monitoring backend services (servers, databases, etc.) with lightweight agents. These agents attribute the activity on each cloud service to specific features and customers using distributed tracing and continuous profiling. Then, the usage data are mapped to cost data via AWS/GCP/Azure billing APIs. The result is a complete picture of who and what are driving cloud costs over time.
Granular cloud cost data allow companies to:
🔵 Know if they’re pricing an existing customer too low—or below cost.
🔵 Hone in on individual lines of code and architectural decisions that incur disproportionate costs. (Other tools can only give generic cost-cutting recommendations based on total costs, e.g. “consider reserving storage in advance for a discount,” since they just repackage existing AWS billing data.)
🔵 Give customers who complain about high bills or opaque pricing an adequate explanation (and perhaps even suggested usage patterns to reduce future bills).
🔵 Better forecast the cost of serving a new customer based on expected usage. This helps teams price contracts optimally to hit margin goals consistently.
Installation only involves deploying Rosettic agents to each service of interest. This takes five minutes and requires zero code changes. Although Rosettic's backend is cloud-based by default, Rosettic can be self-hosted for companies that need to keep all data within their ecosystem.
Supply and demand factors make now the perfect time to launch this product:
🔷 Supply: Monitoring technologies eBPF and OpenTelemetry have come a long way in the past few years. Both technologies allow seamless monitoring of different technology stacks, removing friction where engineering teams would have otherwise needed to make significant investments in setup and maintenance. Application performance monitoring companies like Datadog have proven that monitoring dozens of services is technically feasible and can be profitable even at scale.
🔷 Demand: As the cost of capital has increased and fundraising has become less certain, profitability is the only way to guarantee business survival. Business and engineering leaders are placing newfound importance on margin health.
⭐ Given these factors, this opportunity emerged in the last twelve months.
Break down cloud costs by feature
Stop wondering how profitable each of your products is. Rosettic’s SDK seamlessly tracks your cloud usage down to the individual API invocation and database row, so you can make better business decisions.