Three complete scripts — one for each product — written as stories, not feature walkthroughs.
"67% of Americans say the system of checks and balances is not working well." That's not a partisan number. That's two out of three Americans — across party lines, across zip codes — looking at the government that's supposed to represent them and saying: something is broken.
And here's the thing. They're not wrong. The problem isn't that people don't care. The problem is that the tools we've given people to participate in democracy are the same tools we've had for 200 years. You vote. You wait. You watch. You hope. In between elections, there is no mechanism. There is no input. The government does whatever it does, and you find out about it on your phone, already decided.
Voter exists because that gap — the gap between elections — is where democracy actually dies.
Here's a question most people can't answer. Who represents you on your city council? Not your senator. The person who decides whether a developer can build next to your kid's school.
Most people have no idea. And it's not because they're bad citizens. It's because the information has never been easy to find. Voter fixes that in 30 seconds — put in your address, and it maps every single person who represents you. Every layer of government. In one place.
But knowing who represents you is only half the problem. When Congress is about to vote on something that affects your healthcare, your rent, your kid's school — what do you actually do? Call a Senate office that puts you on hold for 40 minutes? Sign a petition that goes into the void?
There's no real mechanism. Voter creates that place. When a vote is approaching, you get a plain-language notification — not a 47-page bill, a human explanation — and then: what do you think? Your response is verified. Tied to your address. On the permanent record.
Every elected official on Voter carries a Representation Fidelity Score. A number — like a credit score, but for democracy. It tracks one simple thing: how often does this person vote the way their verified constituents actually want them to?
Not what they say in speeches. What they do when they walk onto the floor and cast a vote. And it's public. Updated after every tracked vote. It follows them into every campaign.
This is your democracy dashboard. Notice what leads the screen — not a feature list, an alert. Red. Urgent. Your senator is voting on something tomorrow, 71% of your district has already weighed in, and your voice is missing.
And at the bottom — your representatives with their scores. Michelle Wu at 79. Elizabeth Warren at 83. Ed Markey at 41. That 41 is doing a lot of work. We'll come back to it.
This is what it looks like when civic participation is designed for actual humans. The bill name means nothing to most people. So Voter translates: "This bill would strip Medicaid coverage from approximately 400,000 Massachusetts residents — with no transition period."
Then the pulse. 5,412 verified constituents. 71% opposed. "Verified registered voters only." That's what separates this from a Twitter poll. This is auditable. This is real.
Your opposition is recorded. Not "thanks for your feedback." Your opposition is recorded. It's in the district's data. Senator Markey can see it before he walks onto the floor tomorrow.
Ed Markey. U.S. senator since 2013. Known for the Green New Deal. Democrat in a blue state. But look at his Voter score. Forty-one out of a hundred.
He's been making decisions in a vacuum — without ever having to face the real-time preference of the people he represents in a form that's credible, public, and permanently attached to his name. Voter changes that.
Every time you weigh in on a decision, that preference is tagged to an issue area. By election day, Voter has a genuine picture of what you care about — and can match you to candidates based on their actual positions. Not vibes. Not party label. Actual issue alignment. Sofia Martinez: 87% match. Ed Markey: 38% match.
Six months. Thirty-four decisions. Eight wins. A developer wanted to build a distribution center two blocks from an elementary school. Four thousand people said no on Voter. The council saw the data. Seven of them voted no. "Your district won." That's what a working democracy looks like.
You know how to use DoorDash. You know how to use a dating app. You know how to check your Amazon order in real time. There is no reason — no technical reason, no design reason — why your relationship with your own government should be harder than any of those things.
For a user: "You can download this right now. Boston is live. Put in your address and see who represents you — it takes 30 seconds."
For a funder: "What you just saw is the product vision. The foundation is built and working. The accountability engine is what we're building next."
For press: "The question isn't whether this is technically possible — we've just shown you a working prototype. The question is whether democracy gets the design investment it deserves."
SOC 2 Type II certified. FERPA compliant. All data anonymized and aggregated at the district level. Individual respondents are never identifiable. I say that first because the first question in any institutional setting is: what are the privacy implications?
But what you do see — and this is what makes the data credible — is that every response is verified against public voter registration records. This is not a web poll. These are registered voters, attributed to their precincts, weighted by jurisdiction. That verification is what separates Voter Signal from every other constituent sentiment tool that exists.
Give them five seconds to absorb the full dashboard. Five stat cards: 5,412 verified voices — growing 23% this week. Three active decisions. 847 responses today — four times normal volume. Representation Fidelity Score: forty-one. And the live pulse feed — responses coming in, real-time, timestamped, zip-coded, verified.
The score: across every decision where we have verified constituent data, what percentage of the time did this representative's vote match the majority preference of verified constituents? Forty-one means the district got what it wanted 41 percent of the time. That's not a political judgment. It's arithmetic.
Every polygon is a neighborhood. Darker red means stronger opposition. Click Charlestown — 82% oppose, 287 voices. The Signal AI alert: Charlestown residents are overrepresented in the top 10% most vocal opponents. That means this neighborhood isn't just opposing — it's organizing.
Click South Boston — 55% oppose. The most divided district. If you're looking for the constituents who might give you cover on a difficult vote, they're here. This is the kind of precinct-level intelligence that campaigns pay tens of thousands of dollars for — usually built from past elections, not current sentiment. Voter Signal is built from today's data, on today's issue, right now.
Seniors 75 and older — 87% oppose. Their opposition is not abstract. It's existential. 18-to-29 year olds — 79% oppose. That's the number that's surprising. Public housing residents: 91% oppose. Affluent residents: 54% oppose.
"No demographic slice in this constituency supports this bill at majority levels. A YES vote will register opposition from all major voter segments." That's not advocacy. That's arithmetic.
Elizabeth Warren: 83. Ayanna Pressley: 77. Ed Markey: 41. Same party. Same state. Forty-two point gap. The question that raises is not partisan — it's operational. What is different about how these three legislators are governing?
For the first time, you have a verified, continuous, publicly visible record of where those gaps are. Not built from donor perception. Not from advocacy group scorecards. Built from what verified constituents actually said they wanted, matched against what you actually voted.
Suffolk County. Middlesex County. Providence County. Cook County. Opposition levels within 10 points across all of them. The Signal AI finding: "Suffolk is the only Massachusetts district where the representative is predicted to vote YES despite majority constituent opposition. The pattern is not geographic — it is a governance gap specific to this district's representation."
If you vote against your district on this bill, you will be the statistical outlier in your own state delegation. The data will show it.
Natural language. Ask anything about your constituency, any bill, any demographic breakdown. A policy researcher would spend days on what Signal AI returns in seconds. And then the draft statement — two versions: voting NO with the district, voting YES against it. Both based on real data. Both written at the level of a professional communications director.
This is your chief of staff's morning briefing, your press secretary's first draft, and your policy director's research summary — in one interface.
Democracy has a fundamental information problem. Citizens have opinions. Representatives are supposed to act on them. But the mechanism for translating one into the other has always been crude. Lobbyists fill the gap. They give legislators continuous, specific, well-researched information about what their clients want — in time to matter.
Voter Signal gives legislators, researchers, journalists, and campaigns the same kind of continuous, specific, real-time information — from the people who actually vote. Not from the people who pay.