PollSee Simulations

simulate the people a decision lands on.

Rent a zip code's electorate — built from residents who verified their ID and vote on real bills in the PollSee app — and test a bill, a message, or a launch on it before it's real.

Zip 11103 · AstoriaIllustrative · blocs, not people
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Why it's different

everyone else simulates people they made up.

Synthetic panels generate personas from surveys and scraped text. Ours are people who live at a real address, proved who they are, and took a side on the bills moving where they live.

A synthetic panelPollSee
Who's in itPersonas a model generatedResidents who signed up and verified their ID
Where they liveA demographic profileA street address, matched to a zip code and council district
What they thinkWhat a model guesses they'd sayHow they actually voted on real bills, and why, in their words
How freshAs of whenever the panel was builtEvery day, on the bills moving that week
What people rent it for

one zip code, any question.

Bill forecasting

The odds a bill survives each gate, the one member whose vote moves it, and the date the window closes.

Does this bill clear committee this session, and which member decides it?
Which state do we enter first if we can only survive one regulatory regime?
What a simulation returns

three answers, every time.

Does it pass

Staged by gate

A probability for each procedural gate, not one number. Most bills die at a gate, not a vote, so you see where the risk actually is.

Who moves it

One name

The member whose position is most movable and most load-bearing. Spend usually gets wasted on the wrong person, not the wrong argument.

When to engage

A date, not a vibe

The date the odds change and what they change to, so timing is a decision instead of a guess.

Simulation / zip 11103 Filed
Tested Protected bike lanes on 31st Street
Population ID-verified residents of zip 11103, Astoria
Resident blocs on file
74%

Share of the zip's blocs with positions on related bills

Council personas
58%

Share of the committee whose voting record is modeled

Prediction
Clears committee71%
Move first onMember, District 22
Window closesHearing, Mar 1

Illustrative output. Every simulation also states the population and confidence behind it.

Pricing
$100,000
Per zip code, per simulation
  • One zip code's electorate, built from its ID-verified residents
  • One simulation: a forecast, a message test, or a read on who lives there
  • The three answers, with the population and confidence behind them
  • Aggregates only: nothing leaves below a group of five people

Coverage runs deepest in New York City. Every simulation states how many verified residents it ran on, and a thin zip code returns a wider range instead of a guess.

Where the data comes from

the data is a free app.

Every day, residents open PollSee and vote on the real bills moving where they live, in plain English, and propose laws of their own. Nobody is paid to answer. They show up because they want something changed — which is why what they tell us holds up.

66local legislatures
50state legislatures
1Congress
The PollSee app: a New York Assembly bill in plain English, with what it does, how it hits you, and the odds it passes
The rules we run by

built to be trusted.

Verified, not synthetic

Every resident in a simulation proved who they are with a government ID and lives at a real address in the zip code.

Aggregates only

No name, contact, or individual position ever leaves. Nothing is reported for a group smaller than five.

Filed before the vote

Forecasts are timestamped before the chamber acts and scored against the record after. The misses count too.

Coverage on every output

Every result says how many residents it ran on and how confident it is, so a thin zip code never passes for a deep one.

Get started

bring us the zip code you can't afford to misread.

Tell us the decision, the zip codes, and what's at stake. We'll show you what a simulation returns before you commit to anything.