Pre-flight checkBefore the spend

Every pricing change
meets a room.Meet yours first.

Ads, headlines, pages, listings, offers, cold emails, ideas. A pinned room of hostile synthetic customers judges every version and tells you what to keep, fix, or kill, and why.

What you can test

Anything you'd show a stranger.Show the room first.

Ads, emails, pages, listings, prices. The room reads it the way a stranger would and marks up the exact spot it lost them. Every card below is a real run. Three of them are our own work, and none of them got a keep.

Your audience

Your buyers live everywhere.So does the room.

Paste your site. Kranth reads it, works out who buys and where they live, then seats people from those cities, each with a budget, a bar for proof and their own way of talking. Below is the room it cast from our own site, and what that room said about our ad.

Our ad, handed to the room“Stress-test your ads on 200 hostile customers before you spend a dollar.”

Debate, live

Two personas. One argument.The room picks a side.

Put a motion on stage and the room argues it out, turn by turn, in their own voices, while the audience watches and changes its mind. Five formats, from a head-to-head to a pre-mortem at the idea's graveside. Every run below is real.

The motion

The decisive argument

Interview, live

You don't get to dodge.The room asks until you answer.

Interview mode turns the room on you. A panel with something to lose asks what your investor, buyer or boss will ask, scores every answer for evasion, and keeps pushing until you give them a number. This session is real. We played a founder who dodges.

You

Case file · Interview

Recon

It reads the internet for you.Then shows you the receipts.

Recon sends a swarm of research agents across the open web. Each one chases a different question, brings back what it found and pins it to the page it came from. Then an editor tells you what holds, what doesn't, and where the swarm drifted. This run is real.

The question
The open web
Off target: B2B billing, not consumer apps

We ran it on ourselves

We asked the room first.Then we ignored it.

Before we cut our free credits, we ran it past 50 personas. They gave it 14 out of 100. We did it anyway. This is what the next nineteen days looked like, with the real numbers.

Us, June 20

100/100

New signups who could run a first room

Before the cut32 of 37 · 86%
After the cut0 of 0

The room gave it 14 and told us exactly why.We keep that run public so you can read every word.Open the run ↗

More rooms, all public, no signup.

Public debates

How it works

A rehearsal, not a prophecy.Here's how the room is built.

No survey panel and no scraped people. Every seat is assembled from an archetype, a voice and a set of decision traits, then reads your work on its own. This is the same room from the map above, taking our ad.

  1. 01You drop it in

    An ad, a page, a price, an email or an idea. Text or image. Two versions if you want a winner.

  2. 02The room is assembled

    Each seat is built from one of 101 archetypes, 9 voice axes and 8 decision traits, then placed in a city your buyers live in.

  3. 03Everyone reads it alone

    No groupthink. Each persona reads your work in its own call, without seeing the others. A room can mix models from different labs.

  4. 04You get the split

    Hostile, neutral and aligned, the objections they share, and which version wins. Then take it to a debate, an interview or recon.

Variant A · our adStress-test your ads on 200 hostile customers before you spend a dollar.
Not a poll of real people.

These are synthetic personas. Treat the room as a rehearsal, then go talk to customers.

Not a forecast.

It won't tell you your conversion rate. It tells you where strangers push back, and why.

Not a yes-machine.

Seats are built to disagree. Our own pricing call scored 14.

API

Put a room in your pipeline.Every pull request meets it first.

Native SDKs for Python, TypeScript, Rust and Go, a REST API with a live event stream, and a GitHub App that runs a room on a pull request when someone comments /kranth. Below is the exact call behind the room on our map.


        

Live event stream

Pull requestad copy · landing page
you
commented/kranth 30
K
kranth-reviewer bot commented
Kranth verdict
  • Sentiment: +0.18 (−1 hostile … +1 aligned)
  • Open in dashboard
Top objections
    Representative voices

    Generated by Kranth Reviewer. Comment /kranth to re-run · configure in .github/kranth.yml.

    pip install kranthnpm i @kranth/sdkcargo add kranthgo get github.com/Kranth-ai/kranth-go

    Pricing

    Pay for compute, not seats.Cheaper than being wrong in public.

    10 free credits when you sign up, no card. After that, top up from $10 or pick a plan from $39 a month. Credits never expire.

    StarterSolo builders and one-person teams.
    $39/ month

    250 credits a month

    • 2 brand workspaces
    • All public models
    • Up to 1,000 personas a sim
    • API and SDKs: Python, TS, Rust, Go
    • Email support
    Start StarterExtra credits $0.163 each
    Where most teams land
    ProFor teams running a room a day.
    $99/ month

    800 credits a month

    • 3 brand workspaces
    • GitHub App and PR comments
    • Webhooks and custom personas
    • Up to 1,000 personas a sim
    • Priority support, 24h
    Start ProExtra credits $0.124 each
    ScaleHeavy users, embedded in product.
    $399/ month

    4,000 credits a month

    • 5 brand workspaces
    • All models, early access to new ones
    • 10 seats included
    • Slack channel, 4h SLA
    • Custom audience presets
    Start ScaleExtra credits $0.0998 each
    No plan? Top up from $10 for 50 credits. $0.20 each, never expire.
    Buy credits
    Enterprise

    Custom credit pools, contractual never-train, dedicated capacity. Not self-serve.

    [email protected]

    Meet your room.

    10 free credits, no card. Drop the versions, get a keep, fix or kill call before the spend.

    Run a free check