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Found 21 Skills
Analyzes the founder's business context to deliver 3 best go-to-market strategies tailored to their current stage, product, and market. Asks up to 10 diagnostic questions when needed to understand product readiness, target market clarity, competitive positioning, and distribution channels. Use when user needs go-to-market strategy, launch planning, market entry strategy, or actionable GTM roadmap.
Applies the Bullseye Framework from Traction by Gabriel Weinberg and Justin Mares. Use when choosing growth channels, testing customer acquisition strategies, or deciding where to spend marketing effort. Covers all 19 traction channels with selection methodology, testing protocol, and phase-matched channel advice. Triggers include 'how do we get customers', 'which marketing channel should we use', 'we have a product but no users', 'our growth has stalled', 'should we do content marketing or paid ads', 'how do we test traction channels', 'what channels work at our stage'. NOT for product development (use Lean Startup), not for positioning/messaging (use Obviously Awesome), not for pricing (use Monetizing Innovation), not for enterprise sales methodology (use SPIN Selling).
Helps a founder build the case for raising prices and the moves that justify it; it drives toward a higher price and does not debate whether to raise. Three gated phases: (1) collect the reality (what you charge, what you promise, who buys) and diagnose which market the price has selected (the $1/$10/$100/$1,000-per-month ladder), the profit stakes (a 10% rise can be ~100% more profit), and whether the low price is strategy or fear, landing on a rough higher target; (2) brainstorm, judgment off, moves that justify a higher price — move up a market rung, price on value created not cost saved, build Love and Utility drivers, differentiate, repackage; (3) select, grilling each move down to a few that are good, strategy-consistent, buildable, and wanted. Load when the user asks how much to raise prices, what it would take to charge more, or why their price feels too low. Do NOT load to set the exact price, write the increase letter, define the ideal customer, or choose among the three pricing strategies.
Help users decide when and how to pivot their startup. Use when someone is questioning their current direction, seeing poor traction, considering a major strategy change, or stuck in the pre-PMF stage.
When the user wants to validate product-market fit, measure PMF, or plan before scaling. Also use when the user mentions "PMF," "product-market fit," "product market fit," "Sean Ellis test," "very disappointed," "vitamin vs painkiller," "PMF validation," "premature scaling," or "validate before scale."
Win #1 Product of the Day on Product Hunt. Completely reverse-engineered from 30x daily winner and 3x weekly winner campaigns — ranking algorithm decoded, launch timing optimized, hunter selection guide, community engagement approach, and post-launch momentum playbook. Use this if you're: (1) already read PH launch guides but still can't break into Top 5 and need algorithm-level deep optimization, (2) targeting Daily #1 and 5,000+ sign-ups with a proven 30+ case validated approach, or (3) an investor/accelerator coaching portfolio companies on PH launches. What's inside: PH ranking algorithm decoded: weighted factors for first 3 hours, 24 hours, and weekly ranking · Pre-launch preparation: gallery optimization, product URL selection, tagline refinement (≤60 chars) · Launch timing optimization: exact PST launch windows + scheduling guide · Community engagement KPIs: upvote targets, comment response time, maker comment strategy · Platform compliance guide: understanding PH's quality signals and organic growth · Post-launch 72-hour plan: maintaining momentum, conditions for Weekly #1 · Case studies: 3 different categories (AI Tool, App, SaaS) dissected Expected outcomes: Product Hunt Daily #1 ranking · strong community engagement on launch day · 3,000–10,000+ sign-ups (depending on product-market fit) 🇨🇳 Product Hunt 打榜完整攻略 | 🇯🇵 Product Hunt ローンチガイド | 🇰🇷 Product Hunt 런칭 가이드 Keywords: Product Hunt #1, Product Hunt launch strategy, PH ranking algorithm, PH #1 daily winner, Product Hunt tips, product launch, startup launch, ranking optimization, PH gallery optimization, Community engagement strategy, maker community engagement, product strategy, launch tactics, how to win Product Hunt, product hunt best practices
Apply the Bullseye framework from Traction to brainstorm, rank, test, and focus startup traction channels. Use when choosing growth channels, overcoming channel bias, prioritizing marketing experiments, or deciding which acquisition channel deserves focused effort.
The YC meta-game distilled from 4000+ funded companies. Demo day prep, batch dynamics, investor updates, "launch now" mentality, talking to users obsessively. This is the playbook that turned $125K checks into trillion-dollar companies. Use when "yc, y combinator, demo day, batch, investor update, office hours, launch now, talk to users, do things that don't scale, make something people want, startup school, yc application, series a prep, post-yc, yc, startup, accelerator, demo-day, fundraising, launch, users, growth" mentioned.
Marketing playbook for bootstrapped startups with zero budget. Covers organic-only channels including SEO, community building, social media, and word-of-mouth tactics that cost nothing but time. Follow @WeiYipei on X.
Use this skill when users ask "What is the first step to build a brand", the team has a chaotic work rhythm, or discussions on hiring, ad placement, content creation and channel expansion have started without figuring out why to do it and what to do first.
Coach the founder through actually selling: finding the champion and the buyer, running the first sales conversations, demoing their use case, handling "let me think about it," and closing the first paying customers yourself. Use when developers love it but nobody pays, you've never sold anything and freeze on the conversation, or deals keep stalling on "we'll think about it."
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. Inside: 4-step research framework (website → social → traffic → ad spend) · 3-version Wayback evolution analysis · X/Twitter propagation-chain mapping · growth-flywheel 6-stage scoring · KOL identification · content-effectiveness ranking · ICP + freemium pricing teardown · self-check checklist. New in 1.2: time-machine competitor archaeology — Google date-range search back to pre-fame years, star-history launch-day reconstruction (AppFlowy ~40-channel zero-budget launch teardown), competitor funding news as a launch-timing signal, and the "open source alternative" positioning play. Sourced from first-hand founder interviews (AFFiNE co-founder, 2026-04, self-reported figures marked). 🇨🇳 Your competitor just blew up. You have no idea how they did it. Should you tear down their website? Monitor their social media? Map their growth flywheel? This SOP provides you with a complete methodology from Wayback Machine snapshots to X/Twitter propagation chain reconstruction to 6-stage growth flywheel scoring. Built from 150+ AI startup competitive analysis practices, including the full Lovable case study. 🇯🇵 Your competitor suddenly went viral. You have no idea how they grew. This SOP provides a complete competitive research framework from Wayback snapshots to Twitter propagation chain analysis to 6-stage flywheel scoring. Built from analysis of over 150 AI startups. 🇰🇷 Your competitor has suddenly grown explosively. You don't know how they grew so fast. This SOP provides a complete competitor research framework from Wayback snapshots to X/Twitter propagation chain analysis to 6-stage flywheel scoring. Built from analysis of over 150 AI startups. Triggers: "competitor research" | "competitive analysis" | "competitor analysis" | "growth flywheel" | "market research" | "competitor research" | "competitive analysis" | "growth flywheel" | "propagation chain" | "competitive analysis" | "competitor analysis" | "social media teardown" | "Twitter propagation" | "content strategy analysis"