SpeakUp

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You own the stock. You should have a say.

SpeakUp is the first plain-English shareholder voting app built for the on-chain era of tokenized equities. Buy a tokenized Tesla share, and once a year you get to vote on who runs Tesla, how the CEO is paid, and whether the company should reincorporate to Texas. SpeakUp reads the legal materials for you, summarizes every proposal in three lines, recommends a vote based on your preferences, and records your decision on Robinhood Chain so it cannot be tampered with.

What is a shareholder vote?

Every year, every public company holds an annual meeting where shareholders vote on important decisions: who sits on the board, how executives are paid, whether to merge with another company, and any independent proposals raised by other shareholders.

If you own even one share, you have a legal right to vote. In traditional brokerage accounts you receive a thick PDF called a proxy statement and you can vote through Broadridge, the company that handles 99% of US proxy processing. Most retail investors (70%) never vote, because the materials are long and dense.

What does SpeakUp do differently?

  • Reads the proxy for you. We pull the official filing from the SEC EDGAR system and use a large language model to summarize each item in three lines you can actually read.
  • Compares the recommendations that matter. Management says one thing, ISS says another, Glass Lewis a third. SpeakUp shows all three side by side and adds a personalized recommendation based on what you care about.
  • Lets you vote with one click. Sign once. Your vote is recorded as an on-chain attestation on Robinhood Chain, which means anyone can verify how you voted and no one can change the record after the fact.
  • Brings the vote back to the real world. A relayer service bridges on-chain attestations to Broadridge so the company actually counts your vote at the meeting. For the hackathon submission this last step is mocked; the production path is documented in the project repository.

Why does this need to be on-chain?

  • Audit trail. Today, retail shareholders have no way to verify their vote was counted as cast. On-chain attestations make every vote independently verifiable forever.
  • Composable. Other apps can read SpeakUp attestations to build voting clubs, delegation networks, or activist coalitions without asking permission.
  • Tokenized stocks need it. When Robinhood, BlackRock, and others bring trillions in stocks on-chain over the next decade, the legacy proxy system breaks. SpeakUp is the missing governance layer for that future.

Who is SpeakUp for?

  • The 50 million Robinhood retail investors who will hold tokenized stocks once Robinhood Chain mainnet launches.
  • Crypto-native shareholders who already hold Dinari dShares, Backed xStocks, or similar tokenized equities and want governance rights to mean something.
  • Institutional issuers who want to demonstrate best-in-class retail participation in shareholder democracy.

Is SpeakUp investment advice?

No. SpeakUp summarizes filings and offers a recommendation based on stated user preferences, but the final vote is always cast by you. Nothing on this site is investment, legal, or tax advice.

Under the hood

SpeakUp records every vote as an on-chain attestation in a single Solidity contract called SpeakUpRegistry. It is live on Robinhood Chain testnet (chain id 46630) at 0xb6D8E46BF9e48aDD4747595b2e437Eb327071c94 and Blockscout-verified.

Each vote produces a deterministic VoteAttestation with the voter address, meeting id, item id, choice, weight (read from the underlying ERC-20 at cast time), and a reasoning hash that can pin the AI rationale to IPFS for full auditability. Smart-contract test coverage is 100% lines / 100% functions, slither scan returns 0 High / 0 Medium findings, and the full 8-tx end-to-end run is documented in the repo's docs/e2e-proof.md.

Built for the Arbitrum Open House London Buildathon

SpeakUp is an open-source submission to the Arbitrum Open House London Online Buildathon. Built on Arbitrum Orbit (Robinhood Chain), using EAS-style attestations, Anthropic AI, and EDGAR data.