“apollo”的搜索结果

GraphQL API server with Apollo Server — schema, resolvers, context, error handling, data sources, plugins

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Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.

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Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.

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Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Comp

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Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.

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Find 5 decision makers at a company via Apollo.io UI using Chrome DevTools MCP. No enrichment, no credits used.

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寻找并排序销售、合作或融资联系对象，通过共同联系人探索介绍路径，了解对方近况，并按发送者的文风及邮件、LinkedIn或X的用途起草联系文案。

• 寻找特定行业的潜在客户
• 排序潜在合作伙伴或投资者
• 调查共同联系人的介绍路径

Find and qualify prospective customers for B2B, SaaS, local businesses, or early-stage products. Define target criteria, gather supporting sources, verify email contacts, and prioritize prospects in a lead sheet or an evidence report for first-customer discovery.

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• Build a prioritized list of B2B prospects
• Find local businesses in a target area
• Discover first customers from public demand signals

Build a sales prospecting package by researching the market, ranking potential customers, drafting messages in the sender's voice, and logging outreach. Separate approvals govern key stages, with customer files and spreadsheets supporting work when connectors are unavailable.

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• Find prospects similar to existing paying customers
• Use market and competitor changes to refine sales targeting
• Draft personalized outreach for an approved prospect list

Prioritize inbound HubSpot leads using engagement, company fit, urgency, and recent activity. Get a call list with talking points, follow-up email drafts, and proposed call times, with a CSV or pasted-list fallback.

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• Choosing which leads to call first today
• Preparing talking points for each prospect
• Drafting follow-up emails

Draft personalized sales emails or a series of follow-ups using prospect details and past conversations. Create reviewable email drafts, provide copy-ready text when tools are unavailable, and send or enroll contacts in outreach sequences when requested.

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• Writing a first sales email to a prospect
• Following up on an earlier email conversation
• Re-engaging a prospect after a gap

Prepare a daily sales call list ranked by lead priority, with talking points drawn from recent emails. Get proposed calendar slots, follow-up email drafts, and a printable call sheet with space to record outcomes.

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• Choose the highest-priority leads to call today
• Prepare talking points from past emails
• Reserve time for sales calls

Plan and configure command and control (C2) systems for red team exercises. Covers major frameworks, communication methods, relay servers, certificate management, and the network or endpoint signals defenders use to detect these systems.

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• Compare C2 frameworks for a red team exercise
• Plan communication methods and relay infrastructure
• Review C2 detection signals from a defender's perspective

Define ideal customers and a clear market position for an AI product. Use customer evidence to separate customer fit from buying intent, turn technical capabilities into business messages, and plan recurring checks of product-market fit.

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• Define ideal customers using existing customer data
• Clarify differentiation from competitors and manual work
• Translate technical features into messages for buyers

GraphQL queries, mutations, and code generation patterns. Use when creating GraphQL operations, working with Apollo Client, or generating types.

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Email campaign/sequence performance review composite. Pulls campaign data (sends, opens, replies, bounces), reads actual email copy and subject lines, analyzes reply content (objections, positive interest, questions), and produces a diagnostic report covering quantitative metrics, copy quality, lead quality, and actionable recommendations. Tool-agnostic — works with Smartlead (MCP), Instantly, Outreach, Lemlist, Apollo, or CSV data.

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End-to-end cold email outreach orchestration. Handles goal alignment, lead ingestion from any source (CSV, paste, CRM export, database), sequence design, email generation, campaign setup in the user's chosen outreach tool, and launch. Tool-agnostic — supports Smartlead (full MCP automation), Instantly, Lemlist, Apollo, or manual CSV export.

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Find decision-makers at a specific company using Apollo, Crustdata, Fiber, and PDL people search via Gooseworks MCP. Given a company name and target titles, returns a list of contacts with name, title, LinkedIn URL, and location.

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Designs GraphQL schemas, implements Apollo Federation, builds real-time subscriptions, and optimizes queries with DataLoader and federation directives.

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Find lookalike companies via DiscoLike's 65M+ business domain database. Search by seed domains ("find companies like clay.com and apollo.io") or natural-language ICP text ("B2B cold email outreach"). Supports negation domains (exclude competitors/existing customers) and country filtering. Use when you already know 3-10 reference companies and want hundreds more that look like them. Outputs CSV ready for /blitz-list-builder or the email waterfall.

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Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.

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Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

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Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

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Structured diagnostic for technical SEO problems. Use when the user asks about crawl issues, indexation problems, why pages aren't being indexed, robots.txt questions, canonical errors, sitemap issues, rendering problems, or general technical SEO troubleshooting. For Core Web Vitals and page speed, see audit-speed.

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