Security
GetLeaked
A public-surface scanner for AI-built apps. It helps founders spot exposed secrets, risky AI calls, and trust-damaging mistakes before launch.
Run a scanCrescent Labs builds AI-native products and operating systems that reduce risk, increase execution clarity, and make small teams more capable — without pretending every useful system has to be direct revenue software.
We care about whether the product is useful, trustworthy, and operationally sane. Revenue matters, but so do infrastructure, data, coordination, automation, memory, product quality, and risk reduction.
We explain what the system does, what it does not do, who consumes it, and what checkpoint proves it worked.
No inflated dashboards, fake social proof, or overloaded startup visuals. The work has to feel credible before it feels impressive.
We stay narrow on categories where automation can genuinely save time, reduce risk, improve data, or sharpen execution.
Each product has a clear job, a clear consumer, and a proof boundary. The goal is leverage you can inspect, not black-box autonomy.
A public-surface scanner for AI-built apps. It helps founders spot exposed secrets, risky AI calls, and trust-damaging mistakes before launch.
Run a scanAn internal autonomous crypto trading system focused on disciplined execution, risk handling, and reducing constant manual screen time. Public access stays gated until proof is strong enough.
Join the interest listNotes on systems we are actually shipping — what worked, what broke, and the constraints behind the calls. The log covers products, infra, data, and automation work.
Follow @twoshotsaiWe only take on projects where custom automation, risk reduction, data quality, or AI-assisted workflows create meaningful leverage for a clear owner.
Design and implementation for internal workflows, agent pipelines, and operator tooling that remove repetitive manual steps and reduce babysitting.
Scanners, monitoring surfaces, and trust-preserving checks for products where exposure risk affects revenue, credibility, or customer trust.
Custom systems for signals, evidence, reporting, and decision support where discipline and visibility matter as much as raw speed.
A system is worth building when it improves one of the operating loops that compounds: revenue, product, infrastructure, data, coordination, automation, memory, or risk reduction.
Conversion, activation, pricing clarity, pipeline, or paid product readiness.
Reliability, deployability, auth/profile health, and fewer broken workflows.
Cleaner evidence, better source maps, fresher truth, and usable datasets.
Recurring work closes itself without adding operator babysitting.
Sharper UX, clearer positioning, safer claims, and better activation paths.
Less relay work, clearer owners, cleaner handoffs, and fewer stale loops.
Corrections become reusable context instead of repeated operator reminders.
Fewer public, security, operational, and source-of-truth mistakes.
Crescent Labs is early, but the positioning is deliberate: live products, visible execution, and selective work. We publish proof-bounded claims, label internal systems honestly, and build for durable operator leverage rather than agency theatre.
See what we ship in publicReach out if you need a security-first product surface, an autonomous internal workflow, cleaner data loops, or sharper AI execution without adding operational clutter.