Most AI benchmarks are built backwards. Someone sits down, dreams up hard problems, and then measures how well agents solve them. The results are interesting, sure. But they don't always tell you what matters: how agents perform on the actual work that's sitting in your queue. That's why we built cto.bench. Instead of hypothetical tasks, we're building our benchmark from real work. Every data point on cto bench comes directly from how cto.new users are actually using our platform.
I'm excited to share cto bench is live. This is a benchmarking tool that tests against real world usage of the latest and greatest frontier models by cto.new users. Many benchmarking tools run LLMs through custom suites to test viability, but cto bench uses actual usage patterns and PR merge rates to verify how well models are performing on actual tasks. We hope this ads valuable, practical data points to the LLM benchmarking space as it evolves.
Grounding it in real work instead of synthetic tasks feels way more honest — as a builder, that’s the kind of signal I actually trust. Love the “built from usage” philosophy. Congrats on the launch! 🚀
Curious how you’re thinking about bias over time — do you plan to balance workloads or surface context around where the data comes from?
Wow, this is amazing! All the best models for free! 🚀
How can this be sustainable for you?
Finally, a benchmark that measures usefulness instead of academic cleverness. This feels much closer to how teams actually decide whether an agent is worth adopting.
About cto bench on Product Hunt
“The ground truth code agent benchmark”
cto bench launched on Product Hunt on December 20th, 2025 and earned 131 upvotes and 10 comments, placing #6 on the daily leaderboard. Most AI benchmarks are built backwards. Someone sits down, dreams up hard problems, and then measures how well agents solve them. The results are interesting, sure. But they don't always tell you what matters: how agents perform on the actual work that's sitting in your queue. That's why we built cto.bench. Instead of hypothetical tasks, we're building our benchmark from real work. Every data point on cto bench comes directly from how cto.new users are actually using our platform.
cto bench was featured in Analytics (171.7k followers), Developer Tools (511.9k followers) and Artificial Intelligence (467.5k followers) on Product Hunt. Together, these topics include over 172.3k products, making this a competitive space to launch in.
Who hunted cto bench?
cto bench was hunted by Michael Ludden. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how cto bench stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Michael Ludden