186 karma · joined March 15, 2012
Scorecard builds simulation environments and reward models that frontier AI labs and enterprises use to train and evaluate their agents. Same discipline that made self-driving cars work, applied to LLM-based agents.
Our founding team built simulation infrastructure at Waymo, SpaceX, and Uber ATG. I'm Dare, the CEO and scaled Waymo's simulation org to 200+ engineers. We're ~7 people, 7-figure revenue, $3.75M seed led by Kindred Ventures with angels from OpenAI, Apple, Waymo, Uber, Perplexity, and Meta.
Founding Engineer ($175K-$280K + strong equity). Primarily backend. You'll own technical domains end-to-end. We use agentic tooling (Claude Code) heavily. Moving fast and working customers matters more than deep expertise in any one language.
Stack: TypeScript, Node.js, Next.js, PostgreSQL, ClickHouse, Temporal, GCP.
jobs@scorecard.io
Scorecard is the simulation platform for self-improving AI agents. We help teams encode expert judgment into reward models and run 10,000s of scenarios in minutes instead of reviewing 10s of production cases over weeks.
Our team built simulation systems at Waymo, Uber ATG, and SpaceX. Same discipline, applied to AI agents. Backed by Kindred Ventures and Neo, with multi-billion dollar customers.
Founding Software Engineer ($175k-$250k + equity)
Build infrastructure for large-scale agent simulation, reward model pipelines, and scenario generation. Ship fast with a low-ego team.
Stack: TypeScript, React, Node.js, Postgres. Bonus: LLM/RL experience, founder background.
https://www.scorecard.io/careers/software-engineer
Founding GTM Lead
Own demos, sales playbook, and positioning for AI teams building frontier agents. 3+ years early-stage sales/product marketing. AI/developer tools experience a plus.
https://www.scorecard.io/careers/founding-gtm
In-person in SoMa. Full benefits, daily lunch, unlimited PTO.
Apply: jobs [at] scorecard.io (mention HN)
Scorecard is building the leading platform for testing, evaluating, and monitoring AI applications. We help teams ship reliable AI products faster—from prototype to production. Our customers include developers and enterprises building with LLMs who need confidence their AI agents perform as expected.
We recently raised $3.75M in seed funding from Kindred Ventures, Neo, and angels from OpenAI, Google, and Meta: https://www.businessinsider.com/scorecard-raises-millions-ki...
See how we're helping enterprises like Thomson Reuters ensure their AI agents are production-ready: https://www.thomsonreuters.com/en-us/posts/innovation/from-t...
Tech Stack: Full TypeScript w/Next.js, Express, React, PostgreSQL, and agents like Claude Code/Gemini review.
We're an early-stage, fast-growing team tackling the most pressing problems in the AI reliability space. If you're excited about being a founding team member at a company defining how the industry evaluates and optimizes AI systems, we'd love to hear from you.
Open Roles:
- Founding Software Engineer: Build the core platform that helps developers test and evaluate AI agents at scale - Founding UX Designer: Design intuitive experiences that make complex AI evaluation accessible to all developers - Founding GTM: Help define and execute our go-to-market strategy as we scale with customers
Learn more and apply: jobs@scorecard.io w/ subject 'HN'
The biggest diffs from Claude code (the current champion): 1. Generous free tier (60 RPM!) 2. Open Source Apache (Standard after OAI Codex did the same)
Disclosure: CEO of Scorecard- AI eval platform, current Vercel customer. Intrigued since most of our time serverless time is spent waiting for model responses, but cautious about 'magic' solutions.
It's been around and used since 2022. It's an site for SME to write code data: https://www.semafor.com/article/01/27/2023/openai-has-hired-...
"He added that the accelerated commitment reflects new urgency arising from the FAA’s awareness that some local governments are taking action to ban leaded avgas from being used at airports in their jurisdictions.
Local governments threats driving innovation at the federal level :P
With a self-driving taxi what kind of challenges and opportunities do you see in terms of the passenger's request and ride experience (i.e. in the BI article there's a reference to using voice controls for music/navigation)
I've only been a couple places and found Lavash to stronger.