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AI agents

HyperProbe

If 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

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #3104

If 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

source
generated read
High Signal interpretation

HyperProbe 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.

offline extraction
Product facets
HyperProbeAIClaude CodeCodexCursorcoding agent
mapping method
Similarity graph

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.

discovery cluster

Companies similar to HyperProbe

AI agents · 6 peers

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.

Outship

match 78

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

shared product terms: cursor, claude, code, ship; shared product theme: context and memory, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator

Compyle

match 73

Compyle 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: coding, re, cursor, claude; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator

Scope

match 65

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

shared product terms: cursor, claude, code, codex; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator

Waydev AI

match 62

Waydev 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: cursor, claude, code, back; shared product theme: context and memory, developer infrastructure; same category: AI agents; shared affiliation: Y Combinator

Runtime

match 62

Runtime (runtm.com) gives engineering teams control and visibility to enable anyone in their org to use coding agents securely. Eng leaders rolling out coding agents have no way to see what's happening, set boundaries, or safely let non-engineers use them. We provide sandboxed environments, session-level observability, and configurable guardrails so anyone on your team can ship with coding agents without breaking prod. We're live with fast-growing YC scaleups empowering their Engineers, PMs, des

shared extracted concept terms: coding; shared product terms: ship, break, prod, re; same category: AI agents; shared affiliation: Y Combinator

Double – Coding Copilot

match 52

Do you run into these problems with Github Copilot? - Bad completions that break your train of thought when you’re writing comments? - Doesn’t close brackets, or adds too many closing brackets? - Functions, variables, and libraries not being auto-imported after accepting a suggestion? - Multi-cursor mode not working? - Wish copilot could name your variables? - Wish copilot could trigger in the middle of a line? - Want to stop wasting time with GPT3.5 chat and default to GPT4? Double is an high q

shared product terms: break, when, re, writ; same category: AI agents; shared affiliation: Y Combinator