HYPO · Beta

Running ads,
but not sure what's next?

Connect ads with product data. AI suggests this week's experiments and priorities.

Free beta for early startups

Weekly Experiment Report
W38 · Sep 15–21

Ad CTR

3.8%+0.6%p

Landing conversion

12.4%+2.1%p

Signup

184+32

Purchase

27-4
Funnel conversion (ads → payment)
Ad clicks
100
Landing visits
76
Signup
41
Activation
24
Purchase
11

AI Coach · Next Hypothesis

Signups rose but payment conversion dropped. Move the pricing section higher on your landing page this week and A/B test the "free diagnosis" copy.

We started with these questions.

Are you analyzing ads and productas one continuous flow?

Question 01

Want ad and product data in one place?

Question 02

Want recommendations on this week's experiments?

Question 03

Want to grow with AI tailored to your product, not an agency?

Question 04

Want to spend less time on weekly data analysis?

HYPO is not a dashboard.

It builds a cycle of experimenting and growing.

Weekly CycleRepeats weekly
CONNECT

Connect ads & product

From Meta and Google ads to signup and payment in one flow.

VALIDATE

Validate hypotheses

Check whether ads, landing, pricing, or features block growth.

LEARN

Record experiments

Capture what you tried and learned this week.

NEXT

Suggest next hypothesis

Based on results, suggest what to validate first next week.

Hypothesis validation

Great products come from
repeatedly validating good hypotheses, not ideas alone.

  • 1Connect ads & product
  • 2Find what's blocking growth
  • 3Record & validate hypotheses
  • 4Prioritize next experiments
  • 5Build team learning
  • 6Decide together

Dashboards show numbers.
HYPO tells you what to validate.

  • Connect ad and product data.
  • Interpret through hypotheses.
  • Record what you learned.
  • Suggest the next hypothesis.

Free growth diagnosis

Running ads but unsure what to fix first?
We'll help define hypotheses from your current situation.

We're building HYPO together with early-stage startups.
Your diagnosis is used only for product improvement and research.

Real stories

Sounds like my problem

Stories from founders validating hypotheses at early startups.

Early team · K*m

Everyone had a different opinion.

Discussing experiment results made decisions much faster.

SaaS company · S*ng

Meta CTR looked fine, but signup rate kept dropping.

We thought it was a landing page issue, but signup flow complexity was the real cause.

With HYPO, we mapped the funnel and found our first validation point quickly.

Commerce startup · K*m

We kept changing ad creatives,

but the problem was the product detail page, not the ads.

We realized we were just burning more ad spend.

AI service · P*rk

Weekly meetings used to end after reviewing numbers.

Now we start with which hypothesis to validate this week.

Early startup · L*e

We kept jumping between GA4, Meta, and Mixpanel.

Seeing ads through to payment in one flow was much easier.

B2B SaaS · J*ng

We always prioritized improvements by gut feel.

Now we can set priorities based on data.

Solo founder · C*oi

Hiring a marketer still felt too early.

HYPO helped us build an experiment loop before that.

Mobile app · O*

Signups were fine, but payments weren't converting.

Reconnecting event data helped us find where users actually dropped off.

EdTech platform · H*n

Instead of making new ads every week,

we decide which hypothesis to validate first — and ad efficiency improved.

Booking platform · Y*n

Less time looking at numbers,

much more time actually running experiments.

Early team · K*m

Everyone had a different opinion.

Discussing experiment results made decisions much faster.

SaaS company · S*ng

Meta CTR looked fine, but signup rate kept dropping.

We thought it was a landing page issue, but signup flow complexity was the real cause.

With HYPO, we mapped the funnel and found our first validation point quickly.

In beta — every diagnosis is done directly with founders.
Examples reconstructed from common interview concerns.

FAQ

A hypothesis validation platform that connects ad and product data and helps you decide what to experiment on next.

We'll help you find your next hypothesis.

In 30 minutes we'll review your product
and define what to validate first.

HYPOHYPO

Hypothesis. Experiment. Learn.

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