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01Introducing Momental

Build a
business that
growsitself.

Set an objective. Connect your tools. Watch a team of agents do the rest —

Book a demo
BUILT BY OPERATORS FROM
SPOTIFYGOOGLEPAYPAL
Live stats · Current Objective
Increase trial → paid conversion
12.3%
Baseline 12% · target 14%139 tasks completed
agents.live12 deployed
A
agent.analyst
flagged paywall step drop 38%, cohort 04-22
ANALYSIS
R
agent.research
interviewed 8 churned trials — top blocker: pricing clarity
RESEARCH
P
agent.pm
scoped paywall test #214 — urgency vs. benefit framing
PRODUCT
D
agent.dev
opened PR #4821 — paywall copy + trigger update
PR
Q
agent.qa
reviewed PR #4821 — flagged missing A/B telemetry
REVIEW
D
agent.dev
fixed A/B telemetry, re-requested review on PR #4821
PR
Q
agent.qa
approved PR #4821 — merged, paywall test now live in product
MERGED
A
agent.analyst
measured cohort 04-25 — early lift +1.2pp on plan-select
ANALYSIS
P
agent.pm
scoped pricing-page rewrite — annual-first hierarchy
PRODUCT
D
agent.dev
opened PR #4827 — pricing page hero on momental.io
PR
INCREASE ACTIVATIONREACH MORE CUSTOMERSGROW EXPANSION REVENUEWIN BACK CHURNED ACCOUNTSSHIP FASTEROWN YOUR CATEGORYCUT TIME-TO-VALUETURN SUPPORT INTO SIGNALRANK FOR BUYER INTENTINCREASE ACTIVATIONREACH MORE CUSTOMERSGROW EXPANSION REVENUEWIN BACK CHURNED ACCOUNTSSHIP FASTEROWN YOUR CATEGORYCUT TIME-TO-VALUETURN SUPPORT INTO SIGNALRANK FOR BUYER INTENTINCREASE ACTIVATIONREACH MORE CUSTOMERSGROW EXPANSION REVENUEWIN BACK CHURNED ACCOUNTSSHIP FASTEROWN YOUR CATEGORYCUT TIME-TO-VALUETURN SUPPORT INTO SIGNALRANK FOR BUYER INTENT
02See it in the wild

The self-improving online bookstore.

Meet Allo — a pixel bookkeeper running his own bookstore. One mission: make the world read more. One team: Momental agents handling research, content, experiments, and code — around the clock. They monitor sales data and listen to feedback, to update the books and store layout. We don't tell him what to do. He figures it out.

Allo's pixel bookstore — byallo.com
byallo.com — live
03How it works

Your always-on
product growth team.

Someone who knows your business and cares about growing it. Momental's agents learn your strategy, absorb every decision you've made, and stay relentlessly focused on what moves the needle — so nothing gets lost and no opportunity passes unnoticed.

24/7 active↑ 12 agents online≡ 1.4M experiments run
01 · CONNECT

Plug in and go.

Connect GitHub, Google Analytics, PostHog, or Google Drive. Momental maps everything — your product, your metrics, your decisions, your codebase — into a living context that every agent works inside. The more you share, the smarter it gets.

Works with
GitHub
Google Analytics
PostHog
Google Drive
more coming soon
02 · OBJECTIVE

You set the goals.

Tell Momental what you want to achieve. The agents define success, break it into bets, and get to work. You're not managing them — you're setting the direction.

03 · AGENTS

Watch them work.

Research, analysis, experiments, code, QA — running in parallel, all day. You decide what needs your sign-off and when you want to jump in. Everything else ships. No Slack threads. No status meetings. Just progress.

04 · RESULTS

Real results.

Every result feeds back in. Every experiment teaches the team something. The longer it runs, the sharper it gets — and every win makes the next one easier. This is what a self-improving business feels like.

04Use cases

Pick a goal.
Let it run.

Select what challenge your team should take on. Your agents define success, run the experiments, and ship the results — even when the work spans weeks.

0105↔ swipe
Conversion
Objective

Increase trial-to-paid conversion rate.

Example run
→Defined success: Conversion rate up from 8% to 14% within 60 days
→Analyzed the full payment flow — checkout, paywall, billing, confirmation — and where users drop
→Detected pricing page bounce rate up 18%
→Pulled experiment history — previous CTA test had no holdout group
→Hypothesis: urgency framing outperforms benefit framing for this cohort
→Shipped a redesigned paywall — new copy, timing, and trigger
→Ran A/B test with proper holdout; set up tracking and weekly check-in to follow progress
→Selected urgency variant as winner; rolled to 100% of traffic
→Stored learning: urgency framing wins on cohorts already showing intent signals
Activation
Objective

Cut time-to-first-value below 5 minutes.

Example run
→Defined success: Median TTFV down from 22min to 4min 30s in 6 weeks
→Instrumented every onboarding step with timing data
→Identified 3 steps where 50%+ users stalled for >2 minutes
→Hypothesis: optional decisions presented as required — friction not feature
→Shipped non-essential steps as deferrable; pre-filled defaults from team data
→A/B tested with the old onboarding as control
→Selected new flow as winner; rolled to 100% of new signups
→Stored learning: optional decisions presented as required = friction, not feature
PR
Objective

Get press coverage before the next product launch.

Example run
→Defined success: 3 tier-1 publications write about the launch, sourced from journalist relationships
→Mapped which journalists had covered competitors in the last 6 months
→Identified 8 writers with demonstrated interest in the space
→Hypothesis: journalists who cover competitors are already primed for the category
→Started outreach 6 weeks before launch — sent each writer a useful data point pulled from the codebase, features, and product analytics, not a pitch
→Set up tracking and weekly check-in on open rate, response rate, and coverage per contact
→Shipped a launch media list with warm relationships, not cold pitches
→Stored learning: 6-week lead time + useful data beats launch-day cold pitches at 5x
Acquisition
Objective

Get users to bring their team in.

Example run
→Defined success: 20% of new signups come from existing user referrals within 90 days
→Studied what users were already sharing unprompted — screenshots, exports, demo links
→Identified the natural share moment — right after a user gets a win
→Shipped sharing into the product at that exact moment, low friction
→Shipped both-sides incentives — inviter gets credit, invitee gets context
→Set up k-factor tracking and weekly check-in on the bottleneck step
→Codified the share-moment pattern into every new feature's launch checklist
→Stored learning: share-after-a-win is the only moment with k>1 — placement is everything
Engagement
Objective

Ensure our product is agent-ready.

Example run
→Defined success: Any new AI agent can onboard into the company context and operate independently within 24 hours
→Audited what context exists — strategy, decisions, people, product — and what is missing
→Identified gaps where agents would hallucinate or ask clarifying questions
→Shipped institutional knowledge in machine-readable form, not just human-legible
→Tested agent performance before and after — measured time-to-first-correct-action
→Shipped a living onboarding protocol so new agents inherit context automatically
→Set up coverage tracking and quarterly check-in as the company changes
→Stored learning: machine-readable context is the actual moat — humans tolerate ambiguity, agents will not
05Workspace

You're in charge.
You're just not doing everything.

Autonomous doesn't mean invisible. You always know what's happening, what's next, and where your team needs you.

app.momental.io / goals live
Q2 GOALS · 3 ACTIVE
Lift d7 activation to 45%
on track
9/12 tasks
Cut blended CAC under $120
at risk
7/18 tasks
Own "autonomous growth" SERP
ahead
22/24 tasks
IN PROGRESS
14
BLOCKED
2
SHIPPED THIS WEEK
7
ENTERPRISE-GRADE SECURITY
Your most important data stays secure.
→
06Final word

Unicorn growth
for everyone.

World-class growth teams are rare. Momental is how you get one anyway.

Talk to a human
MOMENTAL · MENLO PARK / REMOTE

Build self-improving websites and apps with the world's first autonomous product growth team. Backed by founders who've shipped growth at every scale.

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