Compyle

What do they actually do

Compyle is a “question‑first” coding agent you connect to your GitHub repositories. It scans your codebase, asks clarifying questions, produces a plan, then makes changes while continuously checking its work against that plan and your project’s patterns; when finished, it opens a pull request for review. The product is available as a public beta today compyle.ai, YC launch.

Their stated direction is to become the coding agent teams trust with larger, ambiguous feature work—preserving engineer ownership by forcing planning, asking when unsure, and enforcing conventions, rather than running fully autonomously YC company page, Product Hunt.

Who are their target customer(s)

• Individual feature engineer in an existing codebase: Spends a lot of time finding the right files and patterns; worries automated edits will be brittle or confusing to maintain later.
• Tech lead or senior engineer responsible for reviews: Overloaded with repetitive review fixes; won’t accept automated changes that violate team conventions or increase maintenance burden.
• Engineering manager balancing delivery and quality: Needs faster throughput without hidden tech debt; wants predictable, auditable changes instead of opaque AI-generated code.
• Maintainer of a large/legacy repo (monorepo or older stack): Cross-file changes are risky and easy to get wrong; often reverts or rewrites automated edits that ignore project-specific structure.
• Small startup founder / early-stage team with few engineers: Must ship quickly without losing institutional knowledge; needs an assistant that asks clarifying questions and preserves engineer ownership.

How would they acquire their first 10, 50, and 100 customers

• First 10: High‑touch outreach to the founders’/YC network and Product Hunt/YC Launch signups; offer free or discounted concierge onboarding with live sessions in exchange for feedback and testimonials.
• First 50: Convert waitlist and Product Hunt followers with email invites and short live demos; list on GitHub Marketplace and post targeted demos in dev communities; add how‑to templates so engineers can self‑serve initial tasks.
• First 100: Introduce a simple team plan and 30‑day pilots; add integrations/templates (CI/PR hooks, common task blueprints) to remove setup friction; publish a few short case studies and run light outbound to EMs while incentivizing referrals.

What is the rough total addressable market

Top-down context:

Using a per‑seat benchmark similar to GitHub Copilot Business ($19/user/month ≈ $228/year), the TAM ranges from ≈$10.8B (47.2M professional developers × $228) to ≈$41B (180M GitHub developers × $228) SlashData 2025, GitHub Octoverse 2025, Copilot pricing.

Bottom-up calculation:

Illustrative team-focused SAM: if Compyle targets enterprise/paid teams and signs 20M enterprise engineers over time at $228/year, that implies ≈$4.6B/year—directionally consistent with expected enterprise adoption of AI code assistants Gartner. Alternatively, a practical bottom‑up path might be 50,000 teams × 12 seats/team × $228/year ≈ $137M/year as an early reachable SAM, scaling with team count and seat penetration.

Assumptions:

• Per‑seat pricing comparable to Copilot Business ($19/user/month ≈ $228/year).
• Focus on engineers in teams/enterprises where governance and PR workflows matter.
• Illustrative adoption: 50k teams with ~12 active seats each as an early milestone; expands with integrations and enterprise features.

Who are some of their notable competitors

• GitHub Copilot: GitHub’s IDE/chat/agent stack now supports multi‑file edits and a repo‑connected coding agent that can create PRs; it overlaps with Compyle on agentic feature work and is tightly integrated with GitHub’s ecosystem features, multi‑file changelog.
• Sourcegraph Cody: An IDE/chat assistant built on Sourcegraph’s code search; emphasizes repo‑wide semantic context and supports multi‑file edit flows like Smart Apply, competing on deep code understanding and safer edits overview, remote context.
• Replit Ghostwriter: An in‑browser AI IDE agent for generating, explaining, and refactoring code with collaborative, real‑time workflows—more focused on rapid prototyping than question‑first planning product/blog, intro/docs.
• Amazon CodeWhisperer: AWS‑integrated coding assistant with security scans, reference tracking, and customization tuned on private repos; strong fit for cloud‑native teams needing guardrails and AWS API knowledge overview, security, customization.
• Tabnine: Enterprise‑focused assistant with private/self‑hosted options, org‑level policy, and repo‑aware personalization; competes where privacy controls and bespoke model tuning are priorities platform, repo personalization.