Scope
Scope 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
Y Combinator
yc-company-directory #546Scope 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
sourceScope 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 Scope
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.
The Prompting Company
match 93The Prompting Company helps companies get discovered and used by AI agents. We help companies with two things: - Discovery: We find the exact questions your customers ask AI, analyze whether your product shows up, and improve how AI systems describe and recommend you. - Usability: We test whether AI agents can actually use your product, including finding the right docs, performing the right workflows, and completing tasks on behalf of users.
shared extracted concepts: companies; shared product terms: system, companie, improve, discover; shared product theme: workflow automation; same category: AI agents; shared affiliation: Y Combinator
Coasty
match 93Coasty is a computer use agent that does real work inside softwares, companies already run. New web apps, old desktop tools, the legacy systems nobody wants to touch. You hand it a workflow and it owns the outcome. Most agents demo well and break the moment they hit real software. They get 18 steps out of 20 right, misclick once, and everything after is garbage. Coasty catches when it goes off track and fixes itself mid-task instead of starting over. It handles the messy parts, benchmarks never
shared extracted concepts: companies; shared product terms: real, companie, run, system; shared product theme: workflow automation; same category: AI agents; shared affiliation: Y Combinator
Outship
match 81Software 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
shared product terms: real, gett, like, claude; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Compyle
match 73Compyle is a less autonomous coding agent that asks before it acts. We're like Cursor or Claude Code - but you won't need to rewrite your codebase every time you use it for more than a small task. We built Compyle because we were frustrated with the direction other coding agents are headed. They're all racing to be more autonomous, running for hours without human input. This doesn't work for real production code. When agents run autonomously, they make countless small decisions that pile up in y
shared product terms: like, cursor, claude, code; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Armature
match 69Armature helps companies monitor, analyze, and optimize how AI agents experience their products. What we do today: - Automated testing: We run complex sessions against your MCPs/CLIs across all major harnesses and models to catch broken workflows before your users do. - AX analytics & benchmarking: No more black boxes. We trace agent sessions to show you exactly what the model "thought", what context it missed, and why it failed. We measure your AX against competitors to ensure you remain the pr
shared extracted concepts: companies; shared product terms: companie, run, workflow, show; shared product theme: workflow automation; same category: AI agents; shared affiliation: Y Combinator
HyperProbe
match 65If 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, codex; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator