Outship
Software engineering is being rewritten in real time, and hiring is getting pulled along for the ride. With tools like Claude Code and Cursor, being able to ship is the new baseline. The signal for finding extraordinary engineers is the process: how candidates break down work, steer the agent, make tradeoffs, and recover when things break. Outship is a recruiting tool that allows you to capture and analyze that process alongside the final code so you can hire with confidence. Candidates work in
Y Combinator
yc-company-directory #5831Software engineering is being rewritten in real time, and hiring is getting pulled along for the ride. With tools like Claude Code and Cursor, being able to ship is the new baseline. The signal for finding extraordinary engineers is the process: how candidates break down work, steer the agent, make tradeoffs, and recover when things break. Outship is a recruiting tool that allows you to capture and analyze that process alongside the final code so you can hire with confidence. Candidates work in
sourceOutship is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Outship
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Scope
match 81Scope is the system companies use to measure and improve how agents discover, interact and use their product. As more products gets used through AI agents like Claude Code, Codex, Cursor, and similar agents, agents are starting to influence which tools get chosen, how they get set up, and whether they keep getting used. Most companies still cannot see that process clearly. We run real workflows across agents and show teams when the agent picks them versus a competitor, where it breaks, where doc
shared product terms: real, gett, like, claude; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
HyperProbe
match 78If your team uses Cursor, Claude Code, or Codex to ship, you've felt it: the AI is great at writing code, mediocre at debugging it. When something breaks in prod, you're back to grepping logs, adding console.logs, redeploying, and hoping the AI's guess is right. HyperProbe fixes this. Your coding agent dynamically drops non-breaking probes into your running services, straight from your IDE. When a probe fires, HyperProbe captures and sanitises the exact variable state, feeding your agent real ev
shared product terms: cursor, claude, code, ship; shared product theme: context and memory, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Waydev AI
match 70Waydev tracks AI-generated code from commit to production. AI Checkpoints capture which agent wrote each change, tokens consumed, cost per PR, acceptance rate, and whether it actually deployed — so you can compare Copilot, Cursor, and Claude Code on real production outcomes, not vibes. Engineering leaders use Waydev to measure AI adoption by team, monthly spend, and tokens per developer, then tie it back to delivery. The Waydev Agent answers plain-English questions about your AI investment ("whi
shared product terms: engineer, real, claude, code; shared product theme: context and memory, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Humwork
match 65Humwork lets AI agents chat with human experts in real-time. When AI agents like Claude Code or OpenClaw hit a wall, Humwork's MCP server connects them to a verified domain expert in under 30 seconds. Our experts include senior engineers, lawyers, marketers, designers, and more.
shared product terms: real, time, when, like; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Dockup
match 64Dockup gives on-demand environments for engineering teams so they can merge pull requests with confidence. It works like CircleCI, but allows you to manually test and see each code changes in action with your entire tech stack without having to mock any of your services.
shared extracted concept terms: engineer; shared product terms: engineer, so, pull, confidence; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Hatchways
match 62Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design. Hatchways helps you build a state-of-the-art practical interview process that is customized to your role while saving you engineering interview load along the way.
shared product terms: candidate, like, code, pull; shared product theme: developer infrastructure; shared affiliation: Y Combinator