Wow!
I’ve been poking at transaction simulation and WalletConnect for years, and something about the way teams ship multi‑chain wallets still bugs me.
At first glance it all looks solved — simulations, wallets, chain selectors — but then your gut says no, and you start digging.
Initially I thought simulation would be a checkbox in every UX flow, but actually the reality is messier, and that matters for security.
Here’s the thing: experienced DeFi users want control, clarity, and reproducible safety checks, not shiny abstractions that hide risk.
Seriously?
Let me be blunt: a simulator that lies or omits on-chain state is worse than no simulator.
Most people assume “simulation = safe” and they stop there.
That assumption is fragile, because simulation fidelity depends on RPC choice, mempool visibility, and state overrides — none of which are guaranteed.
On one hand you can replay a call locally and catch reverts; on the other hand you still might miss MEV sandwiching or pending nonce conflicts that change outcomes.
Whoa!
Here’s an example from a recent test I ran — somethin’ weird popped up with a permit flow.
I simulated an approve-and-swap combo with eth_call and got a green light, though the actual tx reverted when the relayer applied a different allowance state.
At first I blamed the contract; then I realized my RPC provider had stale cache behavior.
So, lesson learned: always simulate using the same RPC that will broadcast the tx, or at least one that mirrors mempool and state realistically.
Hmm…
This is where WalletConnect enters the scene.
WalletConnect changes the security model by shifting signing to the user device while sessions are brokered off‑chain.
That architecture is elegant; it keeps keys local and lets dapps talk to wallets securely, but it also adds attack surfaces around session management, pairing URIs, and relay integrity.
If a wallet doesn’t simulate correctly before asking for signature, WalletConnect just becomes a fast path to disaster.
Here’s the thing.
Simulate every user-intended state change and show a clear diff.
Two or three human-readable lines won’t cut it for power users — show allowances, expected token deltas, gas breakdown, and affected contracts.
Longer context is good: show reverted branch hypotheses, optimistic pegged values, and fallback paths that contracts could take, because complex DeFi primitives often have hidden branches.
I’m biased, but wallets that hide these details are courting user error.

How to Build Realistic Transaction Simulation
Okay, so check this out—simulation isn’t a single API call.
Begin with eth_call, but do more: use state overrides to inject pending approvals, replay with pending nonce, and if possible use a tracing RPC like debug_traceCall to capture internal calls.
Also test gas limit edges and revert traces; a swap might succeed under optimistic gas but fail once price slippage and relayer gas estimation collide.
On the surface this sounds like engineering busywork, though actually it’s the most defensible way to present a confident “This will succeed” to a user.
One more thing — simulate via multiple RPC endpoints to spot provider-specific variance (some caches, some mempool visibility differences).
Really?
Yes.
It is surprising how often a tx that simulates fine on Infura will fail on a self-hosted Geth with different config.
Network conditions, uncle handling, and pending state propagation vary.
So, surface the variance and let advanced users choose which simulation they trust most.
I’ll be honest: there are trade-offs.
Comprehensive simulation increases latency and complexity.
You’ll have to limit what you run by default and offer a deep mode for pros.
Offer a fast “sanity” simulation for general users and an optional “full trace” for power users; that’s a pragmatic balance that I prefer.
Don’t force everyone into the slow path — users will drop out.
WalletConnect: The Good, the Bad, and the Hidden Bits
WalletConnect v2 changed the pairing model and multi-chain scope, which is good.
Relayers let sessions persist without exposing private keys, and the protocol supports many chains and namespaces.
But there are practical security nuances: pairing URIs, manual approval of new chain requests, and session resurrection after app reinstall all need explicit UX guardrails.
If a dapp asks for chainIds not visible in the session, prompt loudly and explain consequences; small UX details reduce user error drastically.
On one hand, WalletConnect empowers cross‑device signing.
On the other hand, it amplifies trust in the wallet UI to correctly show simulation output before signing.
If the wallet shows simulated success but not the actual calldata or allowance delta, you’re asking for trouble.
So wallet implementers should both simulate and display raw calldata when users request it.
Advanced users like me will read calldata; many won’t, but showing both is transparency.
My instinct said we needed standardized simulation UI primitives.
Actually, wait—let me rephrase that: we need a composable, minimal set of visual checks that every wallet exposes.
Think: action summary (what changes), safety checks (is allowance being set to max?), and anomaly flags (nonce gaps, potential reentrancy).
On top of that, integrate a clear “why this might fail” explanation when simulations show uncertainty.
A brief, honest statement reduces risky blind approvals.
Something felt off about auto-switching chains.
Auto-switching to complete a tx is a UX convenience, but it opens phishing vectors: a malicious dapp could prompt a chain switch that obscures token symbols or decimal differences.
Require explicit user confirmation for chain switches and visually anchor the wallet to origin chain metadata.
Also, add chain fingerprints — RPC URL fingerprints or proof-of-chain metadata — to detect rogue RPC endpoints.
Multi‑Chain Support: Not Just Chain IDs
Multi-chain means many more than EVMs now.
Even within EVM-compatible chains there are differences: different gas tokens, different block times, native chain behaviors, and subtle RPC semantics.
Non-EVM chains add signature formats and transaction envelopes that wallets must handle safely, which increases attack surface.
So, don’t treat “multi‑chain” as merely a dropdown — treat it as a set of orthogonal security models to reason about.
On one hand you want unified UX across chains.
Though actually each chain should expose a small “security card” describing unique risks: bridging risks, pegged token hazards, typical MEV profile, and average finality times.
That gives power users quick heuristics without reading whitepapers mid-transaction.
And yes, include the RPC source and a trust score for that RPC — users should know if the RPC is a well-known public provider or a random third-party relay.
Check this out — I recommend wallets implement selective simulation scopes.
For example, simulate only the approval and then separately the swap, rather than a black-box batch simulation that hides intermediate state changes.
Split simulations make it obvious when an approval is being given and reduce the chance that a batched flow surprises a user with a larger-than-expected approval.
It also allows wallets to insert user-level mitigations like “set allowance to exact amount” or “use permit if available.”
These patterns work across chains and reduce long-lived unlimited approvals, which are a common post‑compromise vector.
Okay, practical checklist time — somethin’ actionable to take to prod your wallet team.
Audit your simulation fidelity: verify eth_call outputs against actual tx outcomes across a range of RPCs.
Add explicit allowance and approval UI with an “exact amount” default for ERC‑20s unless the dapp uses permit.
Enable an advanced trace view for power users showing internal calls and token flows.
And finally, treat WalletConnect pairing like a security-critical handshake: show clear origin, session expiry, and revoke session flows.
Here’s what bugs me about many wallet help pages.
They give general advice like “check the tx before signing” and nothing else.
That’s not helpful for a user facing a complex DeFi composite transaction involving multiple contracts.
Instead, give a short per-transaction checklist: allowances? cross-chain steps? bridging? relayer involvement? pending nonces?
That kind of checklist reduces cognitive load at the moment of signing.
Okay, so where does Rabby fit in here?
I’ve used a few wallets and what I appreciate is when a wallet treats simulation as a first-class citizen, not a fluff feature; if you want a wallet that focuses on security and gives nuanced simulation and multi‑chain controls, check the rabby wallet official site for their approach and features.
I link that because it’s a good reference point for teams designing their own flows, and it shows practical UI patterns we should all emulate.
One link, one mention — that’s it.
FAQ
How accurate are transaction simulations?
They can be very accurate for pure eth_call logic when you replicate the exact on‑chain state and mempool context, but accuracy drops if RPC providers have divergent state or if off‑chain relayers and oracles will change state between simulation and inclusion.
In short: high fidelity if you match the execution environment; otherwise expect surprises.
Can WalletConnect be trusted for high‑value transactions?
Yes, with caveats. WalletConnect itself secures signing, but the wallet UI must faithfully present simulation results and origin metadata.
For high‑value txs, require multi‑factor session confirmation, deep simulation traces, and if possible, air‑gapped signing or hardware keys.
Also, prefer sessionless or ephemeral sessions for single high‑risk operations.
What’s the easiest way to reduce approval risk?
Use exact-amount approvals or ERC‑20 permits when available, avoid unlimited allowances, and prefer wallets that offer per-dapp allowance management and expiration.
Combine that with simulation that highlights allowance deltas and you’ll cut a large class of post‑compromise losses.














