◆ WORK IN PROGRESSPre-launch. Email darren@darrencard.com to share access.
How DAC works

Score. Coach. Push.
Execute. Re-score.

One loop. Runs continuously. Compounds every cycle.

Connect a URL. The first read lands before your coffee cools.

Compound loop
  1. ScoreRead the stack. 24 dimensions.
    →
  2. CoachName the gap. Rank the moves.
    →
  3. PushCoaching becomes Linear tickets.
    →
  4. ExecuteYou ship. DAC watches.
    →
  5. Re-scoreNext cycle starts sharper.
AdvanceEach pass through the loop adds signal. The next read is sharper than the last.
Minute 1 · The first read

Connect a URL. Get the diagnosis.

You paste your product URL. DAC reads 13 sources, scores you across 24 dimensions, and names the one gap worth closing this cycle. No setup, no integrations required, no demo call. The first read lands before your coffee cools.

What lands in your account
Composite
71Stage 4 · Lead↑ +1.2
First read. Up from a cold start. Coherence gap is the lever.
NextOpen the Coach view to see the three moves DAC ranked for this cycle.
DAC's first words
I just read your product. 13 sources, 24 dimensions, two minutes.
Here's what I see before you tell me anything:

You're a Series B AI-native team, roughly Stage 4 on team operations
and Stage 3 on product. Engineering output is stronger than your
product story. The most common pattern I see in companies your stage,
and the most coachable.

The gap that matters: feedback loop quality is one stage ahead of
experience design. Signals arrive, the design response lags. The 12%
onboarding drop you've been chasing is a symptom of this gap, not
its own problem.

Three moves score, in order. The first one is measurable in your
PostHog this week.

DAC
Cycle 14 · Hour 1

The voice is the operator you would have hoped to hire. No chatbot. No wizard. A read.

The loop · in action

Coaching that closes itself.

DAC does not stop at the score. The diagnosis becomes named patterns, the patterns become ranked moves, and the moves push into the tools your team already uses. Linear tickets land with the coaching comment attached. You ship. DAC watches. The next cycle starts with sharper signal because of what you just shipped.

One coaching turn

Onboarding completion dropped 12% last cycle. This isn't an onboarding bug. It's a coherence gap between two functions: you're learning what users do, but you haven't closed the loop on why they leave. Three moves score, in order.

Pattern observed across last 3 cycles
Coherence gap
Feedback loop quality is one stage ahead of experience design. Signals arrive, but the design response lags the data. The 12% drop is the symptom; the gap is the cause.
Measures
  • Onboarding completion
  • Step drop-off rate
  • Activation rate
Observed in
  • Cycle 14
  • Cycle 15
  • Cycle 16
Connects to
  • Feedback loop quality
  • Experience design
  • Design / dev handoff
Break outWatch the next 4 checkout events in PostHog this week. Re-segment the drop-off pattern before the next ship.
Ranked by projected lift on onboarding completion
Three moves, in order
  1. 1
    Review last 4 checkout events in PostHog
    You already have the data. The pattern is one query away.
    S4 · Leadmeasured42 sig
  2. 2
    Spin off a Reduce drop-off cycle
    Dedicated cycle so the fix lands in one ship, not three.
    S3 · Orchestrateprojected11 sig
  3. 3
    Pull in a design review before re-ship
    The handoff is where the data and the design diverge.
    S3 · Orchestrateprojected6 sig

The same envelope you would see in the live coach. Same primitives, same followup chips. One click on "Push these to Linear" and the diagnosis lands as a coaching comment on the ticket.

How it compounds

Each cycle adds signal. The coach gets sharper.

Minute one, DAC has the public web and the URL. Week one, DAC has watched a full cycle. Month one, DAC has cycle-over-cycle deltas. Quarter one, DAC has enough history to forecast where the next cycle lands. The coach you can replace least easily is the one who has been watching the longest.

Compound progression
Maturity journey
DAC's read of your stack
S1React
S2Augment
S3Orchestrateyou are hereCycle-over-cycle deltas. Predictions arrive.
S4LeadQuarter of history. Trajectory forecast with intervals.
S5Compound
next: S4
BreakoutStay connected one more cycle. The next read will see something this read cannot.
Month 1 · what DAC sees that it could not see at Hour 1
What I can see now that I couldn't see in the first read:

1. Your AI-feature adoption story is more nuanced than I thought.
   First read: 8% adoption, theater pattern. Now: the 8% is two
   segments. Power users (3% of base) average 14 invocations per
   week. Casual users (5%) use them once and abandon. The fix is
   not "more AI features." The fix is "better second-session
   experience for casual users." Different roadmap entirely.

2. Your eng team is stronger than the Linear data suggested.
   Significant work ships through GitHub direct, not Linear.
   Cycle health metrics undercount actual output by ~30%. Worth a
   process conversation, not a panic.

3. Your pricing v3 cohort is starting to retain.
   Ten customers on the new tier. Month-1 retention tracking 91%
   vs 78% on the old tier. Sample is small but the pattern is
   consistent enough to commit a board-narrative beat to.

This is what compounds. The cold-start read named the gap. Four
cycles later, the read is segmented, calibrated, and ready to
shape the board narrative.

DAC
Cycle 18 · Month 1 read

The framework is the same. The signal is deeper. Same job, sharper read, every cycle.

The substrate

Why DAC stays sharper than a dashboard.

DAC speaks MCP, the protocol your agents already use. It reads 50+ tools your team already ships into (Linear, Slack, GitHub, Cursor, Claude Code, Notion, Figma, PostHog, Sentry). It writes coaching back to where decisions get made. It re-reads weekly so the coaching never goes stale. The substrate is the moat. The substrate is what makes the coach hard to replace.

  • MCP-native

    Same protocol your agents speak.

  • 50+ adapters

    Linear, Slack, GitHub, Cursor, Claude Code, more.

  • Pushes back

    Coaching lands where decisions get made.

  • Re-reads weekly

    The conditions move. So does the coach.

Start your first read →See a stack DAC has watched for a quarterSee the primitive kit →

Connect once. The loop runs. The coach compounds.