Latifox

auto-pilot

Autonomous end-to-end run - onboards you if needed, finds ideas, validates the best one, and hands you a memo without stopping to ask

find-idea

Research a market and generate 7-10 scored idea candidates matched to your background

Data & Documents Listed

founder-profile

Create or refresh your builder profile - the background, constraints and target buyer that every other command scores against

gut-check

Three-minute screen on four dimensions - can rule an idea out, never rules one in

idea-status

Portfolio view - every idea you have analysed, its score, verdict and what is still missing

market-scan

Research a market before committing to an idea - trends, competitors, size and how people actually acquire users

pivot-idea

Diagnose why an idea scored badly and generate evidence-backed pivots with projected scores

validate-idea

Run the full ten-step validation on one idea and write a decision memo with a verdict, an experiment and kill criteria

verify-memory

Run the validation harness over your analyses and explain anything it flags

Models LTV, CAC by channel, LTV:CAC ratios, and payback period for an indie developer. Uses market_insights to calibrate channel CPMs and competitive intensity. Includes indie budget tier definitions and viability thresholds.

competitor-mapper

Maps the full competitive landscape — direct, indirect, substitute, and emerging competitors — with positioning gap analysis, review mining, and market_insights-calibrated saturation scoring. Feeds into idea-scoring, cac-modeler, pricing-and-wtp, and tam-sam-som-builder.

DevOps & Infrastructure Listed

decision-memo

Writes a concise, human-readable decision brief summarizing the full validation analysis — including score, verdict, RAT experiment, pre-mortem, and tier-appropriate next actions. The document a founder actually acts on.

desire-evaluator

Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.

distribution-analysis

Evaluates organic reach potential, paid feasibility, platform distribution advantages, creator economy fit, and founder edge for a B2C app idea. Includes viral coefficient estimation, ASO scoring rubric, and tier-adjusted verdicts.

idea-scoring

Aggregates all dimension scores into a final idea score (0–100) and issues a verdict. Implements a multiplicative-floor algorithm with Riskiest Assumption Test (RAT). The final output of every validation workflow.

pivot-engine

Generates structured pivot options for a scored idea based on weak dimensions, market_insights signals, and founder constraints. Includes scoring simulation, minimum viable pivot criteria, effort estimation, and indie buildability filtering.

pricing-and-wtp

Models willingness to pay using Van Westendorp price sensitivity analysis, desire-premium multipliers, category benchmarks, and market_insights monetization signals. Recommends pricing model, freemium conversion estimate, and annual/monthly strategy.

retention-predictor

Predicts retention potential by evaluating usage frequency, habit formation mechanics, and churn risk factors for a B2C app idea.

tam-sam-som-builder

Estimates TAM, SAM, and realistic SOM for a B2C app idea using triangulated bottom-up methodology anchored to market_insights trend data, competitor revenue proxies, and community size signals. Includes indie capture rate benchmarks and growth-rate adjustments by trend velocity.

trend-analysis

Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.