⚠️ Alpha · testnets only. ChainRender is in active alpha and deployed on testnets only — Ethereum Sepolia, the Robinhood Chain Testnet, and the Circle Arc Testnet — not on any mainnet. Contracts, addresses, and APIs may change. Do not use with real funds or production assets.
Concepts

L2 Deployment Strategy — Where to Put ChainRender On-Chain

ChainRender's dominant cost is storing app bytecode on-chain (SSTORE2 chunks). Where you deploy changes that cost by 10–1000x. This page is a decision framework for choosing the right chain — grounded in how ChainRender actually works, not chain marketing.

Verify before you trust. Gas prices, token prices, and chain limits move constantly, and advertised limits are not guarantees. Every number here is illustrative; confirm the live figures (and deploy a test chunk near any chain's code-size ceiling) before committing gas. Use scripts/compare-deploy-cost.mjs with current prices, and the platform's per-chain profile tooling handles the code-size configuration.

The core principle: identity is the hash, not the chain

A ChainRender app is identified by its content hash, which is a pure function of (component bytes, that chain's addresses/state). The same app deployed on Base and Arbitrum is "the same app" because it hashes the same — nothing bridges. So multichain deployment isn't about interoperability; it's about choosing the cheapest, most durable place to store the same bytes. You can deploy the same app to several chains independently.

What actually drives ChainRender's cost (the honest cost model)

Three things, in order of impact:

  1. Storage (SSTORE2 code deposit) — the big one. Deploying a chunk = a CREATE that pays per byte of deployed code. On L1 today ~200 gas/byte; post-Glamsterdam EIP-8037 ~1,530 gas/byte (~10x). On an L2, the L2 execution gas for this is cheap, but the L2 pays an L1 data-availability fee to post the data — which since EIP-4844 (blobs) is 90–99% cheaper than pre-blob calldata.
  2. L1 data fee (L2s only) — an L2 posts your deploy's data to Ethereum. Blobs made this cheap; PeerDAS + blob-count increases (EIP-7691 6/9 blobs, EIP-7742) keep pushing it down. This is why L2 storage is dramatically cheaper than L1 for ChainRender.
  3. Rendering — always free. A view eth_call, on every chain, forever. Gas repricings never touch reads. So the cost question is entirely about deploying, never about users viewing your app.

The decision framework

Pick by matching the chain's properties to what the app needs. In rough priority:

1. Is it a real production app or a demo/showcase?

  • Demo / testnet / learning → Sepolia, the Robinhood Chain Testnet, or the Circle Arc Testnet (free testnet gas). Where ChainRender lives today — the platform is deployed on all three.
  • Real, wants permanence + Ethereum security → an Ethereum L2 (below), not L1 (L1 storage is 10–1000x pricier).
  • Absolute maximum credibility / L1 settlement → Ethereum mainnet, accepting the cost. Rare — only if the app's value justifies L1 storage cost (a flagship, a permanent monument).

2. Among L2s, match the chain to the app's needs

If the app… Lean toward Why
Wants lowest storage cost + broad reach Base (OP Stack) Cheap blob-backed data, large user base, strong tooling
Is large (many/big chunks) a bigger-code-limit chain (e.g. Arbitrum Orbit / Robinhood-style 96 KiB) fewer chunks = fewer CREATEs = less overhead; verify the real ceiling on-chain
Needs Ethereum-grade decentralization Arbitrum One / OP Mainnet mature, decentralized-ish sequencers, deep liquidity
Is USDC/payments-flavored a USDC-native chain — Circle Arc (live on testnet: chain 5042002) gas paid in USDC (dollar-denominated), no volatile-token conversion. Note Arc's native gas uses 18 decimals while the USDC ERC-20 uses 6 — don't conflate them
Targets a specific community that community's L2 apps live where their users are

3. Confirm the chain's ChainProfile

Every chain needs a ChainProfile matching its real, on-chain-verified code-size ceiling (see deployment/chain-profiles.json). A bigger ceiling means fewer chunks — but never trust an advertised limit; deploy a test chunk near it first. verified:false in the config means "confirm before relying on it."

The recommended default: deploy on an L2

For almost every real app, the recommended target is an Ethereum L2 (Base or Arbitrum), not L1.

  • Storage is 10–1000x cheaper than L1 (blobs).
  • You still get Ethereum's security (the L2 settles to Ethereum).
  • The ecosystem is optimizing L2 data cost hard (PeerDAS, blob increases) — costs trend down over time.
  • Your rendering is free everywhere, so users never pay regardless.

L1 mainnet is for the rare flagship where L1-native storage is the point. Testnets (Sepolia, Robinhood, Circle Arc) are for building.

The step-by-step play

  1. Decide the tier (demo → Sepolia; production → L2; flagship → L1).
  2. Pick the L2 using the table (cost, size, decentralization, token, community).
  3. Estimate cost first — node scripts/compare-deploy-cost.mjs --json '{...}' with the target chain's current gas + token prices. Compare candidates side by side. (Gas + chunk counts are exact; dollar figures are your inputs.)
  4. Confirm the ChainProfile — each chain has a profile describing its code-size ceiling. Verify the code-size ceiling on-chain with a test chunk before storing big chunks.
  5. Deploy the ChainRender stack on the chain (registries, stores, interpreter) — the same source contracts, deployed and wired identically, so it behaves as "the same platform" on that chain (each chain resolves its own addresses; nothing bridges). Contracts built under one compiler profile also hash identically across chains; a few first-generation contracts predate the current profile and differ in bytecode while remaining the same source — functional parity, verified with the deploy-parity audit, not necessarily byte-for-byte.
  6. Upload libraries (p5/three/icons) to that chain's DependencyRegistry — they chunk at that chain's ceiling.
  7. Deploy apps. Rendering is free; users just need that chain's RPC.

Honest caveats

  • Advertised limits ≠ real limits. Robinhood's 96 KiB, Glamsterdam's 32 KiB — verify on-chain before trusting.
  • Blob fees are variable. L1 data cost for L2s rises with blob demand; it's cheap now but not fixed.
  • L2 ≠ mainnet security. Most L2s have centralized-ish sequencers today; "Ethereum security" is settlement-level, not identical to L1. For a maximally trust-minimized flagship, L1 still wins — at 10–1000x the storage cost.
  • The same app on N chains is N independent deployments. No bridging; each is its own on-chain artifact that happens to share a hash.

The durable takeaway

ChainRender's storage cost is a placement decision, and the tooling makes placement cheap to change: profiles are data, the stack is the same everywhere, and rendering is free. Deploy real apps on an L2 (cheap, secure-enough, improving), keep L1 for flagships, and always cost-check + verify the ceiling before you commit gas.

Related

  • Size Limits & Glamsterdam — the code-size ceiling + the cost roadmap.
  • deployment/chain-profiles.json — per-chain ceilings (verify before trusting).
  • scripts/compare-deploy-cost.mjs — side-by-side deploy cost estimator.
  • Per-chain ChainProfile — the descriptor that tells ChainRender each chain's code-size ceiling.