$1,000 in Capy Credits for Every YC Company
Every Y Combinator company - current batch and alumni - now gets $1,000 in Capy credits plus a free Review Agent.
If you haven't used Capy before: Capy is an AI software engineer for real codebases. You give it a task, and it plans the work, makes the changes, opens the PR, and reviews the result.
What you actually get
If you're a YC company, you get:
- $1,000 in Capy credits
- A free Review Agent
- Credits that stay on your org balance until they're used
This is not a 30-day trial with a countdown timer.
Capy Pro includes $20 in credits per month. This deal gives you 50x that amount upfront, which means you can use it for real work - not just a quick test drive.
What $1,000 in credits is enough to do
Ship features end-to-end
Give Capy a task like "add a team invitation flow with email notifications." Capy reads the codebase, writes a plan, implements the changes in an isolated environment, runs tests, opens a PR, and reviews the result before you ever look at the diff.
Clear bug backlogs in parallel
If you have 20 bugs sitting in GitHub Issues or Linear, Capy can work them in parallel - one task per bug, one isolated environment per task, one clean PR per fix.
The goal is simple: fewer weeks spent triaging, more mornings where the PRs are already ready for review.
Run migrations and refactors without losing a week
Framework upgrades. ORM migrations. TypeScript conversions. Test backfills. The kind of work every team knows it needs to do, but nobody wants to babysit.
Capy is especially good at scoped, tedious, multi-file work like upgrading frameworks across large codebases, migrating from one library or pattern to another, writing tests around fragile systems, and breaking large projects into ordered steps and stacked PRs.
Use it from Slack
If your team works in Slack, Capy can start there too. Tag it in a channel, create the task in a thread, and let teammates hand off work without bouncing across tools.
Why Capy works differently
Most AI coding tools are one model in a loop: read some context, generate some code, hope it works. Capy splits the work across specialized agents.
Captain plans
Captain reads the codebase, understands the existing patterns, asks clarifying questions when needed, and writes a detailed spec for the task.
Build executes
Build takes that spec, works inside an isolated cloud VM, uses the full toolchain, makes the changes, runs tests, and opens a PR.
Review Agent catches what matters
Once the PR is open, the Review Agent reads the diff, flags bugs and real quality issues, and filters out low-value noise.
The result: fewer wasted iterations, better first-pass code, and review cycles that feel more like engineering and less like cleanup.
Who this is for
This deal is especially useful if your team is shipping fast with a small engineering org, buried under bugs, migrations, and backlog cleanup, trying to increase output without hiring a huge team, or already using AI tools but frustrated by how much supervision they still need.
If that sounds like your company, this is worth activating.
Claim the YC deal
If you're a YC company, you can claim the deal at capy.ai/yc. You'll get $1,000 in Capy credits, a free Review Agent, and enough runway to see where Capy fits in your actual workflow.
Claim your YC deal.
$1,000 in Capy credits for every YC company. Redeem on Bookface or get started now.
