「founder」の検索結果

Deliberating decisions and founder priorities through multi-perspective, named-expert, and YC-style advisory lenses. Use for verdicts, office hours, or expert critique; not implementation.

日本語の概要は準備中です。原文の説明を表示しています。

Startup growth consulting agent specializing in Product Hunt launches, open-source marketing, and Go-to-Market audits. Get expert-level strategic reviews and actionable recommendations. By @WeiYipei — fractional growth lead for AI startups.

日本語の概要は準備中です。原文の説明を表示しています。

A step-by-step playbook for early-stage startups going from pre-seed to their first 1000 users. Covers MVP validation, initial traction channels, and founder-led growth tactics. By @WeiYipei — follow on X for more startup growth insights.

日本語の概要は準備中です。原文の説明を表示しています。

Seed-stage growth playbook focused on channel selection and prioritization. Helps founders with product-market fit decide where to invest limited resources for maximum traction. By @WeiYipei.

日本語の概要は準備中です。原文の説明を表示しています。

Marketing playbook for open-source projects led by non-technical founders. Covers README optimization, community building, contributor attraction, and translating OSS traction into revenue. By @WeiYipei.

日本語の概要は準備中です。原文の説明を表示しています。

Systematic backlink building for indie founders. Covers 5 channel types ranked by GEO + SEO ROI: Wikipedia (entities), authoritative media (PR), industry reviews (G2/Capterra/Product Hunt), Reddit/Quora discussions, and HARO/Featured.com expert quotes. Designed for 0→1 sites where domain authority is the bottleneck. Aligns with 2026 Google/Bing GEO guidance: backlinks are the strongest brand-authority signal AI search engines use to decide citations. Defaults to dev/B2B link sources; for 2C products (education, consumer apps) authority links differ — see gingiris-seo-geo/references/2c-adaptation.md.

日本語の概要は準備中です。原文の説明を表示しています。

Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need predictable lead generation. By @WeiYipei.

日本語の概要は準備中です。原文の説明を表示しています。

Complete developer marketing playbook covering DevRel programs, documentation as marketing, API developer experience, community building, and hackathon strategy. For dev-tool founders who need to reach engineers. Follow @WeiYipei on X.

日本語の概要は準備中です。原文の説明を表示しています。

Runs Fable 5 and OpenAI Codex as co-founders on the Rocket Fuel operating system. Fable is the Visionary (vision, plan, standards, final review); Codex is the Integrator (filters the plan, executes the build, reports). Context-routed, one entry point, four functions: KICKOFF a new project, CLARITY BREAK to refactor an existing one, SAME PAGE MEETING to pressure-test a plan, BUILD A ROCK to hand Codex a scoped task. Use when the user says /rocket-fuel, wants to start or refactor a project with Codex, wants a plan reviewed by a second model, or wants to delegate a build to Codex.

日本語の概要は準備中です。原文の説明を表示しています。

Contracts, commercial law, and intellectual property essentials for founders, managers, and knowledge workers. Covers the elements of contract formation, common contract types, property rights, consumer protection, employment law basics, and the four IP regimes — patents, copyrights, trademarks, and trade secrets. Use when drafting or reviewing an agreement, protecting an invention or brand, evaluating a licensing deal, or understanding regulatory exposure.

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.

日本語の概要は準備中です。原文の説明を表示しています。

Define reusable social media content pillars for a product, founder, brand, or campaign. Use when a content calendar needs durable themes, repeatable post types, and clearer editorial direction.

日本語の概要は準備中です。原文の説明を表示しています。

Generate platform-native hooks optimized for engagement, curiosity, and audience tension. Use when creating social media hooks, launch post openings, thread starters, video intros, founder story angles, or campaign first lines.

日本語の概要は準備中です。原文の説明を表示しています。

The branded entry point to ServiceGraph — use whenever the user explicitly names **ServiceGraph** — "use ServiceGraph to…", "what datasets does ServiceGraph have", "search ServiceGraph for…", "look this up in ServiceGraph", "pull contacts from ServiceGraph for these domains", "how many credits do I have on ServiceGraph". ServiceGraph is a multi-dataset platform of metrics-enriched business data for founders — where to launch, who to email, who to hire. This skill explains how to drive the API (api.servicegraph.co / mcp.servicegraph.co) against ANY dataset — discover what datasets exist, discover a dataset's schema and filters, search free brief rows, and unlock contact + metric detail with credits. Dataset-agnostic by design — it discovers everything through the API and never assumes which datasets or fields exist. When the user describes an intent WITHOUT naming ServiceGraph (e.g. "find a PR agency in NY"), defer to the matching specific skill (find-pr-agency, find-marketing-agency, find-law-firm, …); this skill is for explicit ServiceGraph requests and for datasets no specific skill covers yet. Skip non-US firms, consumer/personal services, and individual freelancers.

日本語の概要は準備中です。原文の説明を表示しています。

CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Three modes: SCOPE EXPANSION (dream big), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials).

日本語の概要は準備中です。原文の説明を表示しています。

Expert go-to-market strategist for SaaS applications. Use when planning GTM strategy, content strategy, social media strategy, personal brand development, business brand positioning, or channel selection. Covers LinkedIn, X/Twitter, TikTok, YouTube, and multi-channel distribution. Use for launch planning, audience building, founder-led marketing, and growth strategy.

日本語の概要は準備中です。原文の説明を表示しています。

Structures secondary direct transactions with pricing methodology, transfer restriction analysis, and ROFR navigation. Use when modeling secondary purchases, pricing founder/employee shares, or structuring tender offers.

日本語の概要は準備中です。原文の説明を表示しています。

Assesses founding team composition, complementarity, equity split rationale, and execution capability. Use when evaluating founding teams, assessing management risk, or conducting reference checks.

日本語の概要は準備中です。原文の説明を表示しています。

Deconstructs VC term sheets with liquidation preference waterfalls, anti-dilution mechanics, and option pool impact analysis. Use when analyzing term sheets, comparing investor terms, or modeling founder dilution.

日本語の概要は準備中です。原文の説明を表示しています。

Maps a startup's competitive landscape, scores moat strength across 6+ dimensions, and writes an investor-ready competition narrative with a positioning map. Use when the user asks for a competitive landscape, moat analysis, or positioning review and gives enough to work from: a deck, a list of competitors, or a clearly named startup. A full run takes about 30–40 minutes and searches the web, so for a passing question such as 'who are my competitors?' or 'is that a real moat?', answer briefly in chat and offer the analysis instead of starting it. When it runs, the competitor set and moat scores are checked adversarially, never recalled from memory.

日本語の概要は準備中です。原文の説明を表示しています。

Scores and strengthens startup pitch decks (pre-seed through Series A) against 35 investor-grade criteria grounded in Sequoia, DocSend, YC, a16z, and Carta data. Use when the user has shared a pitch deck (PDF, PPTX, markdown, pasted slide text, or a link to one) and asks for a review, score, feedback, or critique. A full review takes about 15–25 minutes, 40 or more for a long investor deck, so for a general pitch question with no deck, answer briefly in chat and offer the review instead of starting it. When it runs, score with the rubric, never with deck advice from memory.

日本語の概要は準備中です。原文の説明を表示しています。

Builds credible TAM/SAM/SOM analysis with external validation and sensitivity testing for startup fundraising: top-down, bottom-up, or both. Use when the user asks to size a market or check market claims and gives something to size: a product or service description, a market segment, or a deck with TAM/SAM/SOM claims. A full run takes about 15–20 minutes and searches the web, 30 or more with a large data room or a revision round, so for a passing question about market size, answer briefly in chat and offer the analysis instead of starting it. When it runs, every figure is externally sourced and stress-tested, never estimated from memory.

日本語の概要は準備中です。原文の説明を表示しています。

Reviews startup financial models for investor readiness: validates unit economics, stress-tests runway scenarios, and benchmarks metrics against stage-appropriate targets. Use the full review, about 10–15 minutes, when the user provides a financial model (Excel, CSV, or a model pasted as text) and asks for review, validation, runway analysis, or unit-economics scoring. For a single money question with figures to compute, such as 'how long do I have?' or 'is a 4x burn multiple bad?', use its shorter quick check, so the answer comes from the calculator and dated benchmarks, not mental arithmetic.

日本語の概要は準備中です。原文の説明を表示しています。

Simulates a realistic VC Investment Committee: three partner archetypes debate a startup's merits, concerns, and deal terms, scored across 28 dimensions. Use when the user asks to simulate an IC, or how partners would debate their startup, and gives a deck, a company description, or a specific fund. A full run takes about 15–20 minutes, so for a passing question such as 'would a VC fund us?' or 'are we fundable?', answer briefly in chat and offer the simulation instead of starting it. When it runs, partners' views come from the scored simulation, never improvised.

日本語の概要は準備中です。原文の説明を表示しています。