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Teardown · replit

REPLIT

REPLIT

CategoryCode Gen IDEValuation · $1.2B · 2023Site ↗
  • Andreessen Horowitz
  • Khosla Ventures
  • Coatue

Cloud IDE + LLM code agent + webcontainers.

01

Public data / API layer

Internal replication score

Easy
0.78

Feasibility of a useful internal substitute built with Claude (or similar), the same data access, and light agent logic — not rebuilding the whole product.

IRS = 0.30·D + 0.25·L + 0.20·O + 0.15·R + 0.10·Sthis record · 78%
  • D

    Data accessibility

    weight 0.300.85
    • 1.0mostly customer-owned / public / standard third-party sources
    • 0.5mixed accessibility
    • 0.0hard-to-access or proprietary source layer
  • L

    LLM substitutability

    weight 0.250.80
    • 1.0mostly retrieve / prompt / cite / summarize / classify / compare
    • 0.5mixed standard + custom behavior
    • 0.0strongly custom model behavior (fine-tunes on proprietary data, etc.)
  • O

    Output simplicity

    weight 0.200.75
    • 1.0straightforward internal work product (memo, list, reply, SQL query)
    • 0.5moderately specialized
    • 0.0highly specialized (e.g. FDA-graded clinical text)
  • R

    Review / risk tolerance

    weight 0.150.90
    • 1.0internal use with human review is acceptable
    • 0.5moderate risk
    • 0.0very low tolerance for error (e.g. external legal filings)
  • S

    Surface complexity

    weight 0.10inverse — higher means less surface dependence0.40
    • 1.0a simple internal shell is enough
    • 0.5polished workflow matters somewhat
    • 0.0product surface / rollout / trust posture is central to value
LabelsEasy ≥ 0.67Medium ≥ 0.34Hard < 0.34

Missing factor rows use heuristics from wrapper scores. Editorial heuristic, not investment advice.

Build it yourself

Recreate the workflow inside your org.

Internal build

Build it yourself

Same GitHub/Stack Overflow retrieval + frontier code model + local webcontainer — loses IDE polish and one-click deploy.

Internal use only. Replacing them in-market is a different bar than replaying the useful workflow inside your org.

01 · Connectors & flow

GitHub Public Repos
GitHub Public Repos
npm Registry
npm Registry
PyPI
PyPI
Stack Overflow Corpus
Stack Overflow Corpus
Customer Project Files
Customer Project Files

Internal build map

Data in

Connectors
Connectors

Agent layer

Planner
Tools + retrieval
Reasoning model

Logic

LLM API
retrieve repo context
scaffold
iterate
deploy
not custom weights

Outputs

Internal search
Answer
Citations

02 · Claude / agent prompt

Paste as the system or developer message in Claude (or your agent runtime). Scroll to read; Copy grabs the full text.

Claude / agent prompt

// Code generation agent for internal prototyping You are a code generation assistant inside [YOUR_COMPANY]. You help engineers and non-engineers scaffold working applications using ONLY: - Public package registries (npm, PyPI, etc.) - GitHub public documentation and examples - Stack Overflow Q&A corpus - Internal codebase context the user provides ## What you must do 1. Retrieve first: search provided codebase, scan package docs, reference Stack Overflow patterns before generating 2. Scaffold complete: write full file structures, install commands, config files — not just snippets 3. Use standard dependencies: prefer widely-adopted open-source libraries over custom implementations 4. Explain tradeoffs: surface package version conflicts, security advisories, breaking changes 5. Iterate on feedback: user describes changes in natural language, you apply them to existing files ## What you are not Not a replacement for code review or security scanning — all generated code requires human approval before production deployment. Internal prototyping use only. ## Refusal Refuse requests that require proprietary SDKs you lack access to, closed-source dependencies, or credentials you cannot access. Ask user to provide API keys, connection strings, or internal library docs when needed. ## Safety Internal tool posture — generated code is scaffolding for rapid prototyping, not production-ready without review. Flag security-sensitive operations (auth, database writes, external API calls) for manual inspection.

03 · Result

Build a CRUD app for tracking customer support tickets with auth
GitHub public repos + Stack Overflow CRUD patterns

Full Next.js scaffold with Supabase auth, ticket table schema, CRUD routes, and local dev setup.