Robinhood Chain has no public mempool, so early token discovery is a data race, not a gas war. Here's how to catch new RHC tokens on the bonding curve before they graduate into Uniswap.
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Once you have a source-attributed, deployer-scored new token, the last read is the curve itself. Two live signals matter before graduation:
Overlaying buyer quality onto raw discovery is the same discipline as catching Solana tokens before the crowd, laid out in how to find pump.fun tokens before KOLs tweet. The chain changed; the logic did not.
A working RHC early-discovery loop is four filters stacked on one stream:
| Stage | What it does | RHC-specific note |
|---|---|---|
| Deploy detection | New token event from sequencer output | No mempool — read confirmed blocks, not pending tx |
| Source attribution | Which launchpad minted it | Determines graduation venue (Uniswap v2/v3/v4) |
| Deployer score | Reputation of the minting wallet | Cross-EVM address reuse enables cross-chain lookup |
| Curve + buyer read | Fill velocity and early-buyer quality | Fill % is an exact price; watch migrated KOL wallets |
We surface each of these stages as data — new-token discovery, deployer reputation, curve/price feeds, and smart-money buyer scoring — through the Robinhood Chain product and the same paid v1 API that covers Solana. To be clear about what we do and don't do: we surface the information and the scores; we do not execute trades or hold custody. What you build on top of the feed is yours.
You read the sequencer's confirmed block output instead of a pending-transaction pool, because RHC (chain id 4663) has no public mempool. A pipeline that decodes each block and matches launchpad factory calls emits a new-token event within a block or two of the deploy confirming. There is no pending feed to scrape, so the edge is pipeline latency, not a faster wallet.
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import { MadeOnSol } from "madeonsol";
const client = new MadeOnSol({ apiKey: "msk_your_key" });
// Elite deployer alerts with KOL buy enrichment
const { alerts } = await client.deployer.alerts({ limit: 5 });
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Analytics
As of mid-July 2026, 911 spam-factory deployers minted 59,016 tokens — 48% of every token on Robinhood Chain. The worst is 0-for-3,343. Only 48 deployers of 39,780 rank as good. Here's how we scored them.
Analytics
As of mid-July 2026, NOXA was ~75% of Robinhood Chain deploys before dying and relaunching as Pons — now #1 at ~930 deploys/hr. flap.sh leads curve volume, Clanker feeds Uniswap v4, and hood.fun has just 8 lifetime graduations.
Analytics
As of mid-July 2026, only 23% of human alpha wallets on Robinhood Chain are mostly-memecoin — 66% mostly trade non-launchpad assets like stables, tokenized stocks and blue-chips. The chain built for stocks became a meme machine, but the money says otherwise.
Trading
On Robinhood Chain there is no public mempool and gas bidding does not buy ordering — a private FCFS sequencer decides everything by arrival time. Here's why the edge is information and latency, not fees.
Analytics
A €149 CSV of Robinhood Chain intelligence indexed from block zero — deployer reputation, smart-money scores, and token lifecycle since the 2026-04-30 genesis. No incumbent has genesis-complete RHC history, because the chain is too new to have one.
Trading
RHC is an ETH-gas Arbitrum L2 with a private FCFS sequencer and no mempool; Solana is a shred-level latency race. Here's how the two chains compare for memecoin traders — and why one key covers both.
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Open the KOL TrackerFinding a new token on Robinhood Chain (RHC) before it graduates comes down to three things: watching deployments as they land at the sequencer, scoring the deployer behind each launch before you touch it, and reading the bonding curve's fill rate in real time. RHC is an Arbitrum Orbit L2 (chain id 4663, gas paid in ETH) with no public mempool — there is no pending-transaction feed to scrape, so the edge is a private data pipeline into the sequencer's output, not a faster wallet. This guide covers how to build that discovery loop on RHC specifically, and where it differs from the Solana playbook you may already know.
RHC launchpads use the same bonding-curve model that pump.fun popularised on Solana: a token launches into a constant-product curve, buyers push the price up the curve, and once enough of the curve is bought out the token "graduates" into a locked Uniswap pool. If you have traded launchpad tokens on Solana, the pump.fun graduation and bonding curve mechanics carry over almost unchanged — we won't re-explain them here.
The practical point is that the pre-graduation window is where the asymmetry lives. On the curve, price is a deterministic function of how much has been bought, supply is capped, and there is no external liquidity pool yet. Once a token graduates into Uniswap, it is a normal AMM token that every dashboard and bot can see. Discovery that only fires at graduation is discovery that fires late. The goal is to see the token while the curve is still filling.
On Ethereum L1 you would watch the public mempool for pending contract-creation transactions. On RHC that approach does not exist. Robinhood Chain runs a private, first-come-first-served (FCFS) sequencer: transactions go straight into a private queue, get ordered by arrival time, and only become visible once the sequencer emits them in a block. There is nothing to front-run and nothing to snoop.
That changes the discovery primitive. Instead of parsing a mempool, you parse the sequencer's confirmed output as fast as it is produced and match on the launchpad factory contracts that mint new curves. Every new token is a contract deployment or a factory call from a known launchpad program, so the detection rule is: decode each block, filter for calls to the launchpad factories, and emit a "new token" event the instant the deploy confirms. Because RHC targets sub-second soft confirmations, a pipeline reading blocks directly sees a new curve within a block or two of it existing.
This is the same architecture we run on Solana with our shred-level stream, applied to a different no-mempool chain. If you want the deeper reasoning on why the mempool-monitoring mental model breaks on a private-sequencer chain, that is its own post: .
Not every RHC launchpad is equal, and the discovery feed is only useful if you can attribute each new token to its source. Some launchpads graduate into a locked Uniswap v2/v3 pool; others (like Clanker) deploy straight into Uniswap v4 with different pool mechanics. Deploy velocity, curve shape, and graduation thresholds vary between them, and the launchpad landscape on RHC has already churned once since genesis.
Attributing the source lets you filter noise. A single dominant launchpad can account for the majority of raw deploys, and a large share of those are throwaway spam. Knowing "this came from launchpad X, which graduates into Uniswap v3" versus "this is a Clanker v4 deploy" tells you how the token will behave after graduation and which pool your post-graduation liquidity read should target. We keep a running map of where tokens actually launch on RHC and how those venues differ in Robinhood Chain launchpads: where tokens launch.
This is the filter that turns a firehose of new tokens into a shortlist. Every RHC token has a deployer address, and deployer addresses are reusable reputation. A wallet that has deployed thousands of tokens with a near-zero graduation rate is a spam factory; a wallet with a history of tokens that bonded and kept trading afterward is a different signal entirely.
Because EVM addresses are identical across every EVM chain, deployer reputation on RHC can also be cross-referenced against the same address's behavior elsewhere — a cross-chain lookup that has no clean equivalent on Solana. A deployer's history answers the only question that matters at deploy time: is this a serious launch or the 3,000th disposable mint from a bot fleet?
The mechanics of deployer scoring — bonding rate, runner rate, post-bond survival — are the RHC analogue of what we already document for Solana in the pump.fun deployer analysis. On RHC the same reputation model runs against data indexed from chain genesis, so even a brand-new token from a repeat deployer arrives pre-scored. Our Robinhood Chain deployer-hunter surfaces exactly this.
Graduation is when a token finishes filling its bonding curve and its liquidity is moved into a locked Uniswap pool. Before graduation the token trades only on the curve, where price is a deterministic function of how much has been bought; after graduation it is a normal AMM token visible to every dashboard. The pre-graduation window is where discovery has an edge.
Yes. Every RHC token carries a deployer address, and that address has a scoreable history — bonding rate, runner rate, and post-bond survival — indexed from chain genesis. Because EVM addresses are shared across chains, an RHC deployer can also be cross-referenced against the same address's activity on other EVM chains.
The bonding-curve logic and the "get in before graduation" goal are the same, but the plumbing differs: RHC is an ETH-gas Arbitrum L2 with a private FCFS sequencer, so you read confirmed blocks rather than a mempool, and graduation lands in Uniswap rather than Raydium or PumpSwap. The deployer-scoring and buyer-quality filters port over directly.
Early token discovery on Robinhood Chain is a data-pipeline problem, not a gas problem. With no public mempool, the fastest path to a new token is reading the sequencer's confirmed output, attributing it to a launchpad, scoring the deployer from genesis-complete history, and confirming with early-buyer quality — all before the curve graduates into Uniswap. We provide those four layers as one feed across RHC and Solana on a single key. See the Robinhood Chain product for the coverage and pricing for API access.