YC DATA · 6,287 COMPANIES · OCTOBER 2, 2026
FORMATION · FIRST SURFACED FALL 2026

Engineering, Product and Design

Return to Signal
COOLING92% confidenceObserved October 2, 2026Source: YC industryCurrent batch — provisionalRadar flagged this 6 months early
The count
0.51×

95/622 → 57/739; -7.56 percentage points of formation share.

S07S12W17S21Sp25F26
Open questions naming this formation — 1
OPEN

LLM observability and evaluation layer standardization

Langfuse (analytics/open source for LLM apps) and Vellum (dev tools for building with LLMs) both address monitoring and iteration of AI-driven products, while DrDroid focuses on debugging SaaS systems; as more B2B dev tools ship AI features, teams will need a shared standard for evaluating and tracing model behavior across these fragmented tools.

NEXT INVESTIGATION

Check back around June 2027 for new YC batches, to see whether independent evidence for "LLM observability and evaluation layer standardization" has appeared.

The companies behind the signal — 57
Fall 2026
Simantic

Simantic is modernizing the embedded firmware industry with hardware simulation developed for the adoption of AI in hardware engineering. Simantic gives both humans and AI the visibility into hardware previously limited by the physical world.

Fall 2026
Hue

Hue turns production usage of agents into repeatable tests that preserve the tools, data, and state behind the real run. As AI agents take on real work, their behavior depends increasingly on the nuances of the world around them. With Hue, teams can test and improve their agents under conditions that mimic real usage.

Fall 2026
herdr

Developers don't run one coding agent anymore. They run fleets of them — for hours, sometimes days — across laptops, servers, and sandboxes. Keeping track of that work is the new bottleneck: which agent is blocked, which one finished, which terminal is it in, and why did everything die when the laptop closed. Herdr is the open-source home for that work. A background server owns the agents' terminal sessions on each machine, so the work survives disconnects, closed lids, and dropped SSH. Herdr detects each agent and turns the chaos into an attention queue — working, blocked, done, across every project — so you look only when an agent needs you. Every client is just a view: the bundled terminal UI, SSH from another machine, your phone. Close one, open another; the work never stops. Software can drive it too: a CLI, a socket API, and a plugin marketplace that passed 500 community plug

Fall 2026
Simulithic

Simulithic continuously uses your production product like your real users do. We learn representative user journeys and run user simulations across different devices, browsers, account states, and environments to find failures that traditional scripted end-to-end tests miss.

Fall 2026
OnePatch

OnePatch is a forward-deployed AI SRE. It instruments your services, watches how they actually behave in prod, catches incidents, and drives each one to resolution. Think Datadog, except it doesn't stop at telling you something broke: it keeps going until the fix is shipped.

Fall 2026
ByteAsk

ByteAsk is an AI coding agent built for C and C++, the code that runs trading systems, cars, chips, and operating systems. It does not stop at a diff that looks right. ByteAsk builds, debugs, and tests every change with the real toolchain until the change holds. If the compiler, the debugger, or the tests can catch it, then ByteAsk catches it too. It runs from the terminal or inside VS Code, Neovim, and Emacs, and is available fully on-prem.

Fall 2026
Agent Relay

Agent Relay helps software teams work better with coding agents, and helps those agents work better as a team. It gives Claude Code, Codex, OpenCode, and custom agents shared messaging, session history, and access to tools like GitHub, Linear, and Slack. Teams can see what every agent is doing, run checked and resumable workflows, and step in when human judgment is needed. Run it in our cloud, locally, or on your own hardware.

Fall 2026
Workers IO

Workers IO verifies your entire system across millions of interleaving, faults, and timings to find the exact conditions that break the software properties you care about. Built for teams where 99.99% uptime is table-stakes.

Fall 2026
ORO AI

We're building the open benchmark for commerce. Builders submit shopping agents. Independent validators run them against problems that change daily. The best agent earns the rewards, and every run becomes training data.

Fall 2026
Boxes.dev

Port your development environment to the cloud. Give every coding agent on its own cloud computer, bring your Codex or Claude subscription, start agents from Slack and Linear, and manage them from your desktop, phone, or terminal.

Inside Engineering, Product and Design

Other / unclassified

Measured-window members of Engineering, Product and Design that could not be assigned to a narrower shared YC tag or industry without forcing a classification.

Developer Tools

A primary internal company segment within Engineering, Product and Design, derived deterministically from the shared yc tag “Developer Tools”. This is a classification of current window members, not a causal layer or a separate time trend.

Infrastructure

A primary internal company segment within Engineering, Product and Design, derived deterministically from the shared yc tag “Infrastructure”. This is a classification of current window members, not a causal layer or a separate time trend.

Outside corroboration — does anyone else see this?

No comparable outside activity is connected yet.

Related formations
Developer Tools

256 completed-batch companies belong to both Engineering, Product and Design and Developer Tools, versus 54.6 expected by chance (4.7× enrichment; false-discovery-adjusted q=2.6e-123). This is a statistically distinctive co-membership, not a causal or containment claim.

AI Agent Platforms

29 completed-batch companies belong to both Engineering, Product and Design and AI Agent Platforms, versus 8.1 expected by chance (3.6× enrichment; false-discovery-adjusted q=1.5e-8). This is a statistically distinctive co-membership, not a causal or containment claim.

Design

16 completed-batch companies belong to both Engineering, Product and Design and Design, versus 3.0 expected by chance (5.3× enrichment; false-discovery-adjusted q=2.1e-7). This is a statistically distinctive co-membership, not a causal or containment claim.

AI Agent Infrastructure

30 completed-batch companies belong to both Engineering, Product and Design and AI Agent Infrastructure, versus 13.3 expected by chance (2.3× enrichment; false-discovery-adjusted q=0.00050). This is a statistically distinctive co-membership, not a causal or containment claim.

LLM Application

9 completed-batch companies belong to both Engineering, Product and Design and LLM Application, versus 2.6 expected by chance (3.4× enrichment; false-discovery-adjusted q=0.019). This is a statistically distinctive co-membership, not a causal or containment claim.

Data Engineering

22 completed-batch companies belong to both Engineering, Product and Design and Data Engineering, versus 10.7 expected by chance (2.1× enrichment; false-discovery-adjusted q=0.021). This is a statistically distinctive co-membership, not a causal or containment claim.

Similarly named categories — not necessarily the same thing

These share a word with “Engineering, Product and Design” but are tracked as separate categories. The real overlap below is the actual share of Engineering, Product and Design’s companies also found in that category — not a guess.

Citation

Cambrian Signal, “Engineering, Product and Design,” publication yc-2026-10-02-semantic-v8, snapshot October 2, 2026.
cambrian.jafar.com/formation/engineering-product-and-design

Engineering, Product and Design · Cambrian Signal