productivity▌

Patterns for building shared UI across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose. Covers state management, navigation, theming, and performance.

Guide users through transitioning from pure product-led growth to sales-assisted expansion using product usage signals. \n \n Helps define Product Qualified Leads (PQLs) and Product Qualified Accounts (PQAs) based on actual product engagement rather than marketing metrics \n Covers the complete handoff workflow: identifying usage signals that trigger sales outreach, designing smooth transitions from self-serve to sales-assisted, and aligning product and sales team incentives \n Emphasizes person

Answers: "Is this token held by quality wallets or retail noise?"

Local markdown search engine supporting keyword, semantic, and hypothetical-document queries across indexed collections. \n \n Three query types: lex (BM25 keyword matching), vec (semantic/natural language), and hyde (hypothetical document answers) with optional auto-expansion and intent-based disambiguation \n Accessible via MCP tools ( query , get , multi_get ), CLI commands, and HTTP API on port 8181 \n Supports collection filtering, phrase matching, term exclusion, and result reranking via r

Framework-based assessment of product-market fit using signals from 46 product leaders. \n \n Apply the Sean Ellis \"very disappointed\" survey as a leading PMF indicator, targeting 40% threshold before long-term retention data is available \n Diagnose stage through retention curves, reference customer counts, and customer pull signals; distinguish between vanity metrics and genuine PMF evidence \n Recognize PMF across four levels (nascent to extreme) with segment-specific fit; understand that P

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Framework for developing, backtesting, and deploying prediction market trading strategies. \n \n Four built-in strategy templates: arbitrage (pricing inefficiencies), copy trading (mirror successful traders), momentum (price and volume signals), and mean reversion (trade price extremes) \n Backtesting engine with historical data simulation, performance metrics (Sharpe ratio, max drawdown, win rate), and equity curve tracking \n Risk management module enforcing position limits, drawdown caps, dai

Guides homepage content, structure, and conversion optimization.

Implement comprehensive form validation including client-side validation, server-side synchronization, and real-time error feedback with TypeScript type safety.