zero to one

You mass-texted 10 people about your app idea. 8 said 'sounds cool.' Zero offered to pay. You're in the most expensive place a solo founder can be: confident enough to keep building, uninformed enough to build the wrong thing. The $0-to-1 Squad is 34 AI agents that run you through a validation sequence — from 'is this even a real problem?' to 'someone just paid me.' Each agent carries the documented frameworks of Paul Graham, Alex Hormozi, Peter Thiel, Sean Ellis, Dave McClure, Jeff Bezos, and 12 other minds who've built or studied what works. What it actually does: stress-tests your idea against startup killers before you code, runs pre-mortem analysis on YOUR concept, builds pricing via Hormozi's value equation, measures PMF with the Ellis 40% test, diagnoses your funnel with AARRR pirate metrics, and designs self-reinforcing flywheels so each customer makes the next one cheaper. 80+ embedded frameworks. Not summaries — executable decision trees wired into each agent's reasoning. Each agent averages 500+ lines of structured methodology. For solo founders building AI-first businesses who want a system, not a course. $49.90 — less than one dinner with a friend who says 'sounds cool.'

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小队由第三方发布。squads.sh 不保证其安全性或功能性。使用需自行承担风险。 阅读条款
3434 个智能体
00 个任务
1616 个工作流

$0→1 Squad

Idea to first dollar. 34 agents. No pitch decks, no co-founders, no delusion.

version
agents
skills
workflows
license
price

The Problem

You have the idea. You might even have a prototype. What you don't have is confidence that anyone will pay for it.

So you do what feels productive — you refine the UI, add features, research competitors, rewrite the landing page. You stay in build mode because building feels like progress. Selling feels like exposure.

Then one of two things happens: you launch to silence, or you never launch at all.

The gap isn't knowledge. You've read Hormozi, you know about validation, you understand PMF intellectually. The gap is sequencing — knowing that "find 10 people who'd pay" comes before "pick a tech stack," and having something that enforces that order when your instincts tell you to just start coding.

Most founders discover their idea was wrong after building. This is a system that makes you discover it before.

Quick Start

bash
squads install l0z4n0/zero-to-one
/v1 venture

That's it. The Venture Chief asks 5 questions, figures out where you are, and routes you to the right phase.

How To Use — Manual

"I have no idea what to build"

/v1 venture → Phase 0: DISCOVER

The Idea Miner (Paul Graham) maps your skills × interests × market gaps. The Contrarian Lens (Peter Thiel) kills ideas that lack a secret. The AI Scout (Karpathy) finds where AI creates unfair advantage.

"I have an idea but don't know if anyone will pay"

/v1 goto phase-1

Market Validator (Hormozi) runs the starving crowd test. Demand Tester designs a pre-sell experiment. You get a GO/NO-GO before writing a single line of code.

"I built something but nobody's buying"

/v1 goto phase-4

Offer Engineer (Hormozi) rebuilds your offer using the Value Equation. If the perceived value isn't 10x the price, the offer isn't done. Then Launch Strategist (Brunson) runs a 7-day sprint.

"I need to launch this week"

/v1 launch

7-day launch sprint: landing copy, email sequence, Reddit post, DM outreach, demo prep, launch day checklist, post-launch metrics review.

"Should I quit my job for this?"

/v1 runway-calc

Runway Calculator gives you the math — business runway, personal runway, break-even timeline, three scenarios weighted by probability. Math, not hope.

"I'm not sure this decision is right"

/v1 pre-mortem "describe the decision"

Pre-Mortem (Munger) inverts: "What would guarantee failure?" Then Kairo Business scans for cognitive biases contaminating your analysis.

"Do we actually have product-market fit?"

/v1 pmf

PMF Detector (Sean Ellis) runs the 40% test: "How would you feel if you could no longer use this product?" Segments your users, finds your north star segment, and builds the roadmap to improve your score. No scaling until this gate passes.

"Where is our funnel leaking?"

/v1 aarrr

Growth Engineer (Dave McClure) audits all 5 AARRR stages: Acquisition, Activation, Retention, Revenue, Referral. Finds the biggest leak, designs an experiment to plug it. Max 3 experiments at a time — focus beats breadth.

"My growth is linear — I need compounding"

/v1 flywheel

Flywheel Architect (Jeff Bezos) maps your business for self-reinforcing loops. Each customer should make the next one cheaper. Also runs Working Backwards (write the press release before building) and classifies your decisions as Type 1 (slow down) or Type 2 (speed up).

"Should I build this feature or kill it?"

/v1 working-backwards "describe the feature"

Write the internal press release from the customer's perspective. If it doesn't excite you after 3 iterations, kill it. Working Backwards never fails. Skills-forward always fails.

The 10 Phases

DISCOVER → VALIDATE → ARCHITECT → MODEL → OFFER
    ↓                                        ↓
  GROW ← SUSTAIN ← ITERATE ← LAUNCH ← BUILD
#PhaseFocusKey Agents
0DISCOVERFind ideas worth buildingIdea Miner (PG), Contrarian Lens (Thiel), AI Scout (Karpathy)
1VALIDATEProve demand existsMarket Validator (Hormozi), Demand Tester
2ARCHITECTDesign the AI productAI Architect (Karpathy), Product Simplifier (Jobs)
3MODELChoose business modelMonetization Strategist
4OFFERCraft irresistible offerOffer Engineer (Hormozi), Funnel Architect (Brunson)
5BUILDShip the MVPProduct Builder (Cagan), Deploy Engineer
6LAUNCHGet first customersLaunch Strategist (Brunson), Community Launcher (Godin), Direct Response (Kennedy)
7ITERATELearn and improveFeedback Analyst (Cagan), Decision Scientist (Kahneman), PMF Detector (Ellis)
8SUSTAINBuild communityCommunity Architect
9GROWScale what worksLeverage Architect (Naval), Content Strategist (Koe), Scale Engineer

Cross-cutting (available at any phase): Pre-Mortem (Munger), Kairo Business (bias detection), Copy Engine (Halbert), Research Engine, Analytics Engineer, Legal Minimum, Runway Calculator, Demo Strategist, Growth Engineer (McClure), Flywheel Architect (Bezos).

What Makes This Different

The mechanism: Each phase has a gate. The gate requires specific outputs — a TAM calculation, not a guess. A unit economics model, not a feeling. A pre-mortem that stress-tests your idea against documented failure patterns. If the numbers don't work, the system tells you before your bank account does.

  • You can't skip to building. Phase gates block you from architecture (Phase 5) until you've validated demand (Phase 1). This isn't rigidity — 70% of failed startups built something nobody wanted.
  • Two agents exist solely to find your blind spots. Kairo (based on Kahneman's bias work) and Pre-Mortem (based on Munger's inversion) review every major decision for confirmation bias, sunk cost fallacy, and overconfidence. The things that kill solo projects are the things you can't see yourself.
  • Your progress survives between sessions. Founder profile, phase state, decisions, artifacts — all persisted. Come back in a week and pick up exactly where you stopped.
  • Runway math includes your rent. The calculator models personal burn, not just business burn. Three scenarios, probability-weighted. You get "you have 7.2 months before this gets uncomfortable," not a hockey-stick projection.
  • PMF is a gate, not a guess. The PMF Detector (Sean Ellis) runs the 40% "very disappointed" test, segments your users, and blocks scaling until fit is measured — not assumed. Most founders scale on revenue vibes. Revenue with high churn is a treadmill.
  • Growth is diagnosed, not hacked. The Growth Engineer (Dave McClure) decomposes your business into 5 AARRR stages, finds the biggest leak, and designs experiments with hypotheses, metrics, and kill criteria. No "growth hacking" — growth engineering.
  • Flywheels replace treadmills. The Flywheel Architect (Bezos) designs self-reinforcing loops where each customer makes the next one cheaper. Also gates major decisions as Type 1 (irreversible — slow down) or Type 2 (reversible — speed up).
  • 80+ frameworks with working depth. Not summaries — full protocols with steps, scoring templates, and edge cases. The Hormozi Value Equation alone is 120 lines of executable logic. Each agent averages 500+ lines of structured methodology — not a paragraph of instructions with "act as an expert."
  • Every agent thinks in named frameworks. You get "run the MAGIC formula for offer naming" — not "brainstorm some name ideas."

Value Equation

OptionCostTime to first validationWhat you get
Read the 15 books yourself~$3002-6 months before you start doing anythingThe knowledge, but no sequence to apply it
Hire a business advisor$200-500/hrDepends on their calendarOne brain, one perspective, no system
Join an accelerator$5K-25K + equity3-6 monthsMentorship and network, but built for teams
$0→1 Squad$49.90This week31 agents enforcing a validated sequence from idea to first customer

Who This Is For

  • You're a developer or prompt engineer who can build anything but keeps building things nobody buys
  • You have runway pressure — 6-12 months, maybe less — and can't afford a 4-month detour into the wrong product
  • You've read the books (Hormozi, Blank, Ries) but haven't turned that knowledge into a repeatable sequence
  • You're working solo or with one co-founder and need a system that replaces the team you don't have

Who This Is NOT For

  • Teams larger than 2-3 people — this is calibrated for the solo founder's decision space
  • Existing businesses looking to scale — this is zero-to-one, not optimization
  • People looking for motivation or mindset content — this is an execution system, not a coach
  • Founders building non-AI products — the agents and frameworks assume you're building with AI
All 35 Skills
SkillPhaseWhat it does
taste-test0PG founder-idea fit test
contrarian-test0Find your contrarian truth
ai-opportunity-scan0Scan for AI-native opportunities
value-equation1Score offer on Hormozi's 4 variables
starving-crowd1Validate starving crowd exists
market-check1Quick market validation
pre-sell1Design pre-sell experiment
stack-selection2Choose AI tech stack
api-cost-calc2Calculate API costs at scale
api-risk2Assess API dependency risk
monetization-model3Select business model
unit-economics-sim3Simulate unit economics
grand-slam-offer4Build Hormozi Grand Slam Offer
guarantee-designer4Design risk-reversal guarantee
offer-naming4Name the offer (MAGIC formula)
mvp-scope5Scope minimum lovable product
walking-skeleton5Design end-to-end skeleton
deploy5Deploy to production
stripe-setup5Configure first payment
analytics-setup5Set up essential analytics
legal-kit5Generate legal essentials
launch-sequence6Plan 7-day launch
reddit-post6Craft Reddit launch post
dm-outreach6Design DM outreach campaign
email-sequence6Write launch emails
demo-builder6Build product demo
user-interview7Design user interviews
churn-diagnosis7Diagnose why users leave
pre-mortemcrossRed team any decision
runway-calccrossCalculate financial runway
faq-generator8Generate FAQ from user data
community-setup8Design community structure
content-pyramid9Build content distribution
leverage-audit9Find leverage opportunities
seo-quickwin9Quick SEO wins
pmf-survey7Design and deploy the Sean Ellis PMF survey
pmf-score7Calculate and interpret your PMF score
superhuman-engine7Run the Superhuman PMF improvement engine
aarrr-auditcrossFull AARRR funnel diagnostic
experiment-designcrossDesign growth experiment with ICE scoring
activation-optimizercrossFind and optimize the aha moment
referral-enginecrossDesign referral loop with K-factor modeling
flywheel-mapcrossMap self-reinforcing growth loops
working-backwardscrossWrite PR/FAQ before building
decision-classifycrossType 1 vs Type 2 decision classification
day1-auditcrossDetect Day 2 thinking patterns
growth-sprintcross2-week sprint: 3 experiments, clear metrics
All 13 Workflows
WorkflowCommandWhat it does
Onboarding
/v1 venture
5-question diagnostic → entry phase
Full Journey
/v1 journey
Phase 0→9 with gates
Idea to Validation
/v1 idea-to-validation
Phase 0→1 pipeline
Model to Offer
/v1 model-to-offer
Phase 3→4 pipeline
Offer Engineering
/v1 offer-engineer
Deep Phase 4
48h MVP
/v1 48h-mvp
Phase 5 sprint
Launch Sprint
/v1 launch
7-day Phase 6 sprint
Iterate Cycle
/v1 iterate
Phase 7 feedback loop
Growth Engine
/v1 grow
Phase 8-9 growth
Competitive Intel
/v1 competitive-intel
Research competitors
Pre-Mortem
/v1 pre-mortem
Red team decisions
Re-entry
/v1 resume
Resume from any point
Pivot Protocol
/v1 pivot
Crisis decision framework
PMF to Scale
/v1 pmf-to-scale
Phase 7→9 gate: PMF measurement → scale readiness
Growth Sprint
/v1 growth-sprint
2-week experiment cycle with AARRR focus
Flywheel Design
/v1 flywheel-design
Map loops → reduce friction → measure momentum
Vocabulary
TermMeaning
Grand Slam OfferAn offer where perceived value is so high the price feels irrelevant (Hormozi)
Starving CrowdA market with urgent, unsolved pain willing to pay now (Hormozi)
Value EquationDream Outcome × Likelihood ÷ Time Delay × Effort (Hormozi)
Pre-MortemImagining failure BEFORE it happens to prevent it (Munger/Klein)
Walking SkeletonMinimal end-to-end implementation that proves the architecture works
Phase GateA checkpoint that blocks advancement until criteria are met
Contrarian TruthAn important truth that few people agree with you on (Thiel)
North Star MetricThe ONE number that best captures value delivery to customers
Founder-StatePersistent YAML file tracking your progress, decisions, and artifacts
PMF Score% of users who'd be "very disappointed" if the product disappeared (Ellis)
AARRRAcquisition → Activation → Retention → Revenue → Referral (McClure)
FlywheelSelf-reinforcing loop where each component accelerates every other component
Type 1/Type 2Irreversible decisions (slow down) vs reversible ones (speed up) (Bezos)
ICE ScoreImpact × Confidence × Ease — experiment prioritization framework
K-FactorViral coefficient: invitations sent × conversion rate (referral math)
Working BackwardsWrite the press release before building the product (Bezos/Amazon)
Day 1 / Day 2Startup energy vs bureaucratic stagnation (Bezos)

Confidence System

LevelMeaningWhen you'll see it
HIGHValidated against known frameworks and dataStandard operations, scored assessments
MEDIUMReasonable inference from limited dataEarly-stage estimates, market sizing
LOWBest guess, verify independentlyNovel markets, untested assumptions
UNKNOWNInsufficient information to assessMissing data — agent will tell you what's needed

· · · · ·

Forged by l0z4n0squads.sh

First forged: 2026-03-19 | v1.1.0: 2026-03-19

"The best time to validate was before you started building. The second best time is now."

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