Find the pull
See which segments and personas consistently move, not just who replies first.
Programs / For early-stage B2B startups
PMF Acceleration Program.
We help early-stage B2B startups build agentic learning loops around segmentation, qualification, and messaging so every week teaches the next.
Program walkthrough
See the system in action: Market Map, Signal Atlas, Targeting OS, and Navigation Engine.
PMF Benchmark
Get the free PMF benchmark and diagnostic.
We help early-stage B2B startups see how crowded the market is, whether the offer is strong enough, and which segment, message, and channel tests should run next. Then we build the learning loop that keeps sharpening those decisions every week.
Free diagnostic
What the PMF benchmark actually tells you.
A direct read on market pressure, niche clarity, offer strength, and what to fix next in messaging, channels, and qualification.
Market pressure
See how crowded the category is, where your niche is too broad, and where the wedge still has room.
Offer strength
Pressure-test the value prop against cloned buyer personas to spot weak claims, generic framing, and missing proof.
Next experiments
Get the next segment, channel, and message tests to run instead of rewriting everything at once.
What you get for free
We send a concrete diagnostic on category pressure, niche clarity, offer resonance, and the next tests to run. No vague scorecard. No padded deck.
Prefer live feedback?
If you already know the bottleneck is around segment, offer, or messaging, use the strategy call to pressure-test it with an operator live.
Step 1 of 2
Request the free benchmark
Two quick steps. Enough context to send a useful free diagnostic, not a generic PDF.
Our Unique Solution
Market engineers build the decision layer behind your distribution product.
They structure the market, make fit explicit, and keep qualification and messaging tied to what actually moves the pipeline.
What changes
You stop guessing whether the problem is the market, the offer, or the motion.
Market engineers build the decision layer behind your distribution product. They structure the market, make fit explicit, and keep qualification and messaging tied to what actually moves pipeline.
Market competitiveness
See where the market is crowded and where your wedge still has room.
We map where competition is dense, where your niche is too broad, and where demand is still open enough to attack.
Free output: competitiveness read and niche priority map.
Offer strength
Find out whether your offer sounds sharp or interchangeable.
We stress-test the promise against cloned personas to show which pains land, which claims feel generic, and where proof is missing.
Free output: value prop teardown and problem angles to test next.
Iteration plan
Stop changing everything at once and learn what to fix first.
We isolate the main bottleneck across channel, qualification, and messaging so the next iteration is specific.
Free output: prioritized tests for channel, qualification, and messaging.
Self-improving loop
Trust the loop because it is tied to results.
Every week the team reviews replies, meeting outcomes, CRM movement, and revenue signals together, then records which qualification, routing, and message changes should carry forward.
01
Define good fit
Turn wins, losses, objections, and product context into a clear model of fit.
02
Weight the drivers
Score the signals so the team knows which demand is worth pursuing first.
03
Test the message
Test problems, proof, claims, and CTAs until curiosity separates from intent.
04
Promote what wins
Keep what converts. Cut what does not. The motion improves because outcomes decide.
Territories, not random lists
Market engineers turn your market into coherent test groups so learning is comparable from one segment to the next.
Qualification drivers from data
We define product and market qualification drivers, then update the weights from replies, meetings, CRM movement, and revenue.
Messaging that regenerates
The system keeps testing value framing, CTA structure, and persona language to surface what the market actually rewards.
Founder learning in the loop
Weekly sessions turn execution into operator education for founders who need sharper sales judgment, not just more output.
Why This Program Exists
Most B2B startups are busy, not clear.
You can ship outreach and take calls without knowing which segment pulls, what real fit looks like, or whether the motion is getting smarter. The goal is simple: turn founder intuition into qualification logic and improve learning per week.
Score real fit
Turn founder intuition into qualification drivers and weights the team can reuse.
Improve every week
Use replies, meetings, and pipeline movement to sharpen the next test.
Alternatives
Volume is easier than clarity.
Most alternatives create activity. Fewer build the logic behind better activity.
Founder-led hustle
Great for intuition. Weak for repeatability.
Generic AI SDR tools
Good at sending. Weak at context, qualification depth, and adaptation.
Agency activity
Generates motion fast. Rarely builds a PMF learning loop.
Hiring GTM too early
Expensive before the logic is proven.
Pricing
Current PMF program pricing.
Lower monthly fee, no setup fee, and a vertical-specific meeting guarantee for the current intake window.
Setup Fee
$0
$7,999 setup fee
Fully waived for the current PMF intake window.
Monthly Ops
$3,499
/mo
$5,999 / month
Reduced pricing for the current PMF program intake.
Meeting Guarantee
5-15
meetings / week
The target band is set by vertical, buyer density, and sales cycle, then documented in the kickoff plan so the team is working against a clear weekly standard.
Infrastructure Included
Monthly pricing already includes $1,500 of ads, mailbox infrastructure, and LinkedIn operating infrastructure required to run the motion.
Commercial Model
One operating model instead of separate annual contracts for ZoomInfo-class data tools, outbound software, and the operator needed to run them.
Everything required to run the PMF motion
The pricing is meant to replace fragmented stack spend and an extra operator headcount line item, not add another disconnected tool bill.
PMF benchmark and diagnostic
Market competitiveness, niche clarity, offer strength, and the next tests to run.
Weekly execution and iteration
Segment, channel, and messaging tests with the learning loop updated from actual outcomes.
Ads and infrastructure included
$1,500 per month in ads, mailbox infrastructure, and LinkedIn operating infrastructure is already covered.
Consolidated data and software stack
One bundled operating stack instead of fragmented annual contracts across data vendors and outbound tools.
Operator included
You are not just paying for software. The operator needed to run the stack is built into the model.
Vertical-calibrated guarantee
Guarantee terms are calibrated by vertical and documented before launch.
Built to beat do-it-yourself stack economics
Instead of carrying separate spend across vendors, infrastructure, and the person required to run the stack, this bundles the benchmark, tooling, execution, and guarantee into one commercial model.
Build distribution like a product before you scale it like a team.
If you need a clear read on market competitiveness, offer strength, and the next PMF tests, start with the benchmark.
FAQ
Questions founders ask before they lean in.
Short answers on fit, scope, and what the benchmark is for.
Who is this program for?+
Early-stage B2B startups with enough market motion to learn from, but not enough signal quality to trust what is working yet. Founder-led sales teams, first GTM hires, and early commercial teams are the best fit.
What do market engineers actually do?+
They build the logic behind your distribution product: territories, qualification drivers, signal rules, message tests, and the learning loops that update those pieces from actual outcomes.
What do I get from the benchmark?+
A free PMF diagnostic on market competitiveness, niche clarity, offer strength, and message fit, plus the next tests to run on value prop, channels, qualification, and iteration.
Is this just outbound?+
No. The goal is not more outbound volume. The goal is a distribution system that learns from market evidence and improves the way the startup discovers, qualifies, and routes demand.
PMF Articles
Read the PMF article cluster.
These articles break down the same PMF thesis from six angles: clarity, competitiveness, offer strength, qualification, messaging, and weekly operating rhythm.
Problem framing
9 min read
Why Early-Stage GTM Feels Busy But Not Clear
Most early-stage teams do not have an activity problem. They have a comparability problem. Full calendars and active CRMs still produce weak decision quality when the team cannot isolate what is working.
Busy teams stay confused when they change segment, message, and channel at the same time.
Clarity comes from comparable territories, explicit qualification logic, and a ranked experiment queue.
Read article
Diagnostic
8 min read
How To Read Market Competitiveness Before You Burn A Quarter
Competitiveness is not a category label. It is a pressure map that tells an early-stage team where to test first, what proof is missing, and which wedge is actually viable right now.
Move from one broad ICP statement to three to five concrete territories with explicit test logic.
Attach a leading claim, a likely objection, and a proof gap to every territory before volume ramps.
Read article
Diagnostic
8 min read
The Offer Strength Test: Is Your Value Prop Sharp Or Interchangeable?
Most early-stage value props do not fail because they are obviously wrong. They fail because they sound too similar to everything else in the market to earn priority.
A strong offer needs pain precision, mechanism clarity, and believable proof boundaries.
Interchangeable offers create polite engagement without real urgency or progression.
Read article
Mechanism
9 min read
Qualification Drivers: Turning Founder Intuition Into A Repeatable Model
Qualification drivers convert founder pattern recognition into an operating model the team can run, improve, and teach instead of leaving fit inside founder memory.
Qualification should improve routing now and improve the team’s fit model over time.
Good early-stage qualification balances company, buyer, pain, and proof-readiness signals.
Read article
Mechanism
9 min read
Message Regeneration: How To Improve Copy From Live Signals
Messaging should regenerate from structured market feedback, not from internal copy debates. Live objections and conversion behavior show which copy deserves to survive.
Messaging quality is an output of market learning, not a fixed asset.
Reply quality, objections, and conversion behavior matter more than open rates alone.
Read article
How-to
10 min read
One Weekly PMF Loop: Define Fit, Weight, Test, Promote
A weekly operating cadence with explicit artifacts is one of the fastest ways for a small GTM team to compound learning instead of just reviewing activity.
Weekly status meetings do not compound learning unless the system gets updated from outcomes.
A useful PMF loop defines fit, reweights the drivers, tests one message change, and promotes what wins.
Read article