Runloop Lead Generation & Growth Strategy V2

# Runloop Lead Generation & Growth Strategy V2

## Building a "NOT SAFE TO IGNORE" Growth Engine for AI Infrastructure

**Presentation for Runloop Final Interview**
**October 2025 - Strategic Edition**

---

## SLIDE 1: COVER

### Title

**Runloop Lead Generation Strategy V2**
*A Strategic, Developer-First Approach to Dominating AI Infrastructure Sales*

### Key Info

- **Focus:** Vertical AI Agent Companies (Legal, Healthcare, Finance) - NOT Dev Tools
- **Market:** $174.1B AI Software Market + $2.8B in Agent Startup Funding (2025 YTD)
- **Approach:** "Not Safe to Ignore" Positioning + PLG-Sales Hybrid + Strategic Partnerships
- **Timeline:** 30-Day Sprint → Platform Partnership with Inngest

**Presented by:** Vadim Vozmitsel
**Date:** October 2025

---

## SLIDE 2: THE STRATEGIC INSIGHT - WHY MOST GET THIS WRONG

### Title

**My Key Discovery: We're Targeting the WRONG Companies**

### The Problem with Conventional Targeting

**EVERYONE ELSE TARGETS:**

- Cursor, Replit, Codeium → They're building their OWN sandboxing
- Magic.dev ($466M raised) → Will build in-house
- E2B, Daytona → Direct COMPETITORS
- Result: Wasted outreach, low conversion, competitive battles

### My Strategic Pivot

**WE SHOULD TARGET:**

- **Vertical AI Agent Companies** that NEED code execution but WON'T build it
- Legal AI (Paxton, Definely) - confidential documents need isolation
- Healthcare AI (Prosper, Autonomize) - HIPAA compliance requirements
- Finance AI (Auquan, Maximor) - bank-grade security needs

### Why This Works

**These companies:**

1. ✅ Are in production NOW (51% of AI agents already deployed)
2. ✅ Have fresh funding ($150M+ raised in last 6 months across targets)
3. ✅ Explicitly value outsourced infrastructure ("built in 4 weeks with LangGraph")
4. ✅ Can't spare engineers to build sandboxing (10-50 person teams)
5. ✅ Have compliance needs (prefer certified vendors)

**Bottom Line:** We're not competing with dev tool builders. We're serving vertical SaaS companies that need our infrastructure to focus on THEIR core product.

---

## SLIDE 3: MARKET CONTEXT - OCTOBER 2025 REALITY

### Title

**The Perfect Storm: Why NOW is Runloop's Moment**

### Current Market Dynamics (October 2025 Data)

**AI AGENT EXPLOSION:**

- $2.8B invested in AI agent startups (2025 YTD), projected $6.7B by year-end
- 51% of companies have agents in production (up from ~20% in 2024)
- LangChain: 130M+ downloads, $1.1B valuation, powering 130K+ apps

**TRUST GAP CREATING OPPORTUNITY:**

- 84% of developers using AI tools BUT 46% actively distrust accuracy
- 66% cite "almost right, but not quite" as top frustration
- Gartner predicts 40%+ of agentic AI projects will be canceled by 2027
- **Our angle:** Address the trust gap with reliable, isolated execution

**FUNDING WAVE:**

- Q3 2025: $45B in AI VC funding (46% of all VC!)
- Average AI seed round: $15M (vs. $3M traditional)
- Average AI Series A: $75-80M (vs. $12M traditional)
- **Our angle:** Fresh budgets, companies willing to pay for infrastructure

**INFRASTRUCTURE URGENCY:**

- Observability and testing ranked #1 concern for AI agents
- Companies choosing LangGraph "for speed to market" (not building custom)
- 88% of Fortune 100 exploring AI agents (E2B data)

---

## SLIDE 4: MY "NOT SAFE TO IGNORE" FRAMEWORK

### Title

**Standing Out in a Noisy 2025 Market**

### The Challenge

**2025 Reality:** AI/automation space is CROWDED

- Old growth hacking tactics → "BORING + SAFE TO IGNORE"
- Generic cold emails → Instant delete
- Me-too messaging → Ignored
- Spray-and-pray → Blocked

### My Solution: "NOT SAFE TO IGNORE" Positioning

**ELEMENT 1: Hyper-Relevance**

- Reference THEIR specific GitHub repo, blog post, recent funding
- Address THEIR exact pain point (46% trust gap, 66% debugging burden)
- Show we understand THEIR tech stack (LangChain, Claude, specific frameworks)

**ELEMENT 2: Immediate Value**

- Lead with insights, not pitches
- Offer blueprints and guides even if they don't meet
- Share what similar companies are doing (peer comparison)

**ELEMENT 3: Multi-Touch, Multi-Channel**

- Not just email - LinkedIn, GitHub, Discord, conferences
- 14-21 day sequence with varying value propositions
- Community engagement BEFORE sales outreach

**ELEMENT 4: Strategic Timing**

- Target companies 3-6 months post-funding (budget available)
- Engage when they mention infrastructure challenges publicly
- Reach out during conference season with relevant insights

**Result:** We become impossible to ignore because we're demonstrably relevant, valuable, and omnipresent in THEIR world.

---

## SLIDE 5: PART 1 - STRATEGIC ICP (NOT OBVIOUS CHOICES)

### Title

**WHO We Target: The Non-Obvious Strategic Picks**

### Tier 1A: STRATEGIC PARTNERSHIP (Highest Priority)

**INNGEST** ⭐ **Platform Partnership Opportunity**

- $21M Series A (September 2025 - 3 weeks ago!)
- AI workflow orchestration platform
- **Why perfect:** Their customers build agents needing code execution - we become their built-in primitive
- **Partnership angle:** Integrate Runloop for ALL Inngest customers
- **Impact:** 2x-10x our addressable market overnight

### Tier 1B: Immediate Outreach (Production + Budget)

**MONTE CARLO DATA** - Data observability with AI troubleshooting agents

- **Why:** Launches hundreds of sub-agents requiring SQL/Python execution
- **Won't build:** Explicitly chose LangGraph "for speed to market"
- **Signal:** Featured LangGraph case study, Fortune 500 customers

**HERON DATA** - $16.6M Series A (July 2025)

- **Why:** Processing 350K docs/week with customer business rules
- **Won't build:** YC company, small team focused on document AI
- **Signal:** Multi-tenant rules engine needs isolated execution

**MAXIMOR** - $9M Seed (September 2025)

- **Why:** Finance/accounting agents, Audit-Ready architecture
- **Won't build:** Ex-Microsoft founders understand infrastructure partnerships
- **Signal:** SOC 1/2, ISO 27001 certified = investing in compliance

**PROSPER AI** - $5M Seed (September 2025)

- **Why:** Healthcare voice AI with 80+ EHR integrations
- **Won't build:** Seed-stage team (MIT/Harvard founders)
- **Signal:** Healthcare compliance = willing to pay premium

### Tier 1C: Enterprise/Legal/Healthcare

**PAXTON AI** - $28M Total (January 2025)

- Legal AI, mass document analysis, confidential data
- **Value prop:** Zero-data-retention sandboxing, attorney-client privilege compliant

**AUTONOMIZE AI** - $28M Series A (June 2025)

- Healthcare agentic orchestration, 100K+ care plans/month
- **Value prop:** HIPAA-compliant sandboxing with BAA

**DEFINELY** - $30M Series A (2025)

- Legal contracts in Microsoft Word, LangGraph multi-agent system
- **Value prop:** Secure execution for confidential legal contracts

---

## SLIDE 6: WHY THESE ARE SUPERIOR TARGETS

### Title

**The Strategic Rationale Behind Non-Obvious Picks**

### Pattern 1: Vertical Domain Expertise

**NOT:**

- Dev tool companies (build infrastructure themselves)
- Code editors (competitors)
- Sandbox platforms (direct competition)

**YES:**

- Legal AI (domain: law, NOT infrastructure)
- Healthcare AI (domain: clinical workflows, NOT dev tools)
- Finance AI (domain: financial analysis, NOT sandboxing)

**Why:** These companies can't afford to distract engineers from core product. Infrastructure is critical but not their differentiator.

### Pattern 2: Proven Outsourcing Behavior

**Evidence:**

- Using LangGraph/CrewAI (not custom frameworks)
- "Built in 4 weeks with LangGraph" quotes
- Using cloud providers, SaaS tools
- Available on Azure/GCP marketplaces

**Why:** They're already comfortable buying infrastructure. We're just another best-of-breed component.

### Pattern 3: Compliance Requirements

**Verticals with strict compliance:**

- Legal: Attorney-client privilege, confidentiality
- Healthcare: HIPAA, BAA requirements
- Finance: SOC 2, PCI, bank-grade security

**Why:** They PREFER certified vendors over building. Compliance certifications take 6-12 months - they'll buy ours.

### Pattern 4: Fresh Funding (Budget Available)

**Recent rounds:**

- 8 companies raised in last 6 months
- Total: $150M+ in fresh capital
- Seed/Series A stage = infrastructure investment phase

**Why:** Budget available, pressure to scale fast, technical debt accumulating.

### Pattern 5: Small Engineering Teams

**Team sizes:** 10-50 engineers typically

- Can't spare 2-3 engineers for 3-6 months to build sandboxing
- Infrastructure becomes maintenance burden
- Prefer plug-and-play solutions

**Why:** ROI calculation favors buying: $50K/year for Runloop vs. $500K+ to build + maintain.

---

## SLIDE 7: PART 2 - DISTRIBUTION CHANNELS (OPTIMIZED)

### Title

**WHERE to Find Strategic Targets**

### Top 5 Channels (Ranked by Strategic Fit)

**RANK 1: GITHUB** (Quality: 9/10, Effort: 6/10)

- **Strategy:** Monitor LangChain (110K stars), CrewAI (22K stars), LlamaIndex (36K stars) repos
- **Automation:** GitHub MCP Servers, RapidAPI GitHub APIs for monitoring
- **Search:** `language:Python pushed:>2025-09-01 "from langchain" NOT "example"`
- **Outreach:** Comment on issues with technical insights, then LinkedIn/email
- **Expected:** 10-20 qualified leads/week

**RANK 2: LINKEDIN** (Quality: 8/10, Effort: 4/10)

- **Strategy:** Sales Navigator + Apollo.io enrichment
- **Filters:** AI Engineer + Company funded last 6 months + LangChain OR Claude
- **Automation:** LinkedIn MCP Servers, RapidAPI Scraping APIs
- **Search:** Track job changes from OpenAI/Anthropic to new startups (2025 exodus trend)
- **Expected:** 50-100 contacts/week, 15-20% response rate

**RANK 3: DISCORD/SLACK** (Quality: 7/10, Effort: 3/10)

- **Communities:** LangChain (50K+), Anthropic, OpenAI, Hugging Face, MLOps
- **Strategy:** Answer questions (value-first), monitor keywords ("production", "sandbox")
- **Tools:** Common Room for signal detection, automated monitoring
- **Expected:** 10-15 warm leads/week, relationship building

**RANK 4: REDDIT** (Quality: 6/10, Effort: 3/10)

- **Subreddits:** r/MachineLearning (3M+), r/artificial, r/LangChain, r/LocalLLaMA
- **Strategy:** Participate in technical discussions, share tutorials
- **Automation:** Light automation for monitoring, manual engagement
- **Expected:** 5-10 leads/week, strong brand awareness

**RANK 5: CONFERENCES** (Quality: 9/10, Effort: 9/10)

- **Events:** NVIDIA GTC DC (Oct 27-29), AI Infra Summit (Nov 7), NeurIPS (Nov 30-Dec 7)
- **Strategy:** Sponsor technical workshops (critical!), 1:1 pre-conference LinkedIn outreach
- **Focus:** Collect GitHub profiles not business cards, Bottom-of-funnel engagement
- **Expected:** 40-100 contacts/event, 10-15% qualified, 20-30% Fortune 100

---

## SLIDE 8: PART 3 - QUALIFICATION FRAMEWORK

### Title

**HOW We Qualify: Strategic Scoring System**

### 3-Part Qualification (Must-Haves)

**1. TECHNICAL FIT**

- Building AI agents with code execution (not just chatbots)
- Using LangChain/CrewAI OR custom agent frameworks
- Python (41% ML usage) OR TypeScript (35% adoption)
- Struggling with "almost right" AI output (66% developer frustration)

**2. COMPANY STAGE**

- Seed to Series C ($5M-$100M raised) OR Fortune 500
- 5-100 person engineering team
- Product in development/production (not research)
- Budget authority identifiable

**3. ACTIVE DEVELOPMENT**

- GitHub commits last 30 days
- Hiring AI/ML/Platform engineers
- Blog posts/product updates last 90 days
- Active in developer communities

### Scoring System

- **3/3 Must-Haves** → **Tier 1 (Immediate Outreach)**
- **2/3 Must-Haves** → **Tier 2 (Nurture)**
- **1/3 or less** → **Tier 3 (Re-evaluate in 6 months)**

### High-Priority Signals (Move to Top)

- Recent funding (< 6 months) with $15M+ seed or $75M+ Series A
- Technical founder from OpenAI/Anthropic/Hugging Face
- Using Claude API (45% of pro devs = quality-focused)
- Production infrastructure pain points mentioned publicly
- Exploring Fortune 100 adoption (88% exploring agents)

### Intent Signals (Buying Readiness)

**Technical Content:**

- Blog: "Scaling our AI infrastructure"
- Conferences: Mentioning code execution challenges
- Stack Overflow: Sandbox environment questions
- GitHub Issues: "production stability", "environment isolation"

**Hiring:**

- DevOps, Infrastructure, Platform Engineer roles
- MLOps, AI Platform roles
- Multiple positions simultaneously

**Product:**

- Free tier signup with @company.com
- Multiple users same domain (2-5+)
- Hitting usage limits
- GitHub integration requests

---

## SLIDE 9: PART 4 - OUTREACH STRATEGY

### Title

**Multi-Channel Sequence (14-21 Day Cycle)**

### The Cadence (Human + AI-Assisted)

**DAY 1: LinkedIn Connection**

- Personalized note referencing specific project
- Use Runloop Outreach Coordinator Agent for research

**DAY 3: Email #1 (Cold Outreach)**

- Subject: Technical + personalized + current
- Body: Address 46% trust gap, 66% debugging burden
- Offer: Ready-to-use Agent blueprints + Best Practices Guide
- Clay.com for enrichment

**DAY 5: LinkedIn Engagement**

- Like/comment on recent post
- Share 2025 industry report relevant to their work

**DAY 7: Email #2 (Follow-Up)**

- Different angle: Address observability challenge
- Reference NeurIPS 2025 or recent conference
- Low-pressure value offer

**DAY 10: Community Engagement**

- Discord/Slack: Answer question they asked
- Share LangChain State of AI Agents 2025 report

**DAY 14: Email #3 (Breakup)**

- "Should I close your file?"
- Offer: Conference invite or technical resource

**DAY 21+: Nurture**

- Monthly technical newsletter
- Event invitations
- Case studies

### Key Principles

**Personalization Required:**

- Research GitHub repos, blog posts, recent funding
- Reference their specific tech stack
- Mention Q4 2025 priorities, 2026 goals

**Value-First Always:**

- Lead with insights not pitches
- Offer resources even if they don't meet
- Build credibility before asking

**Multi-Channel Orchestration:**

- Not just email - omnipresent in THEIR channels
- Community engagement builds trust
- Conferences create face-to-face momentum

---

## SLIDE 10: EMAIL TEMPLATE - PROVEN APPROACH

### Title

**What Actually Works: My Proven Template**

### Email Template (Secured 100+ Paying Customers in 2024-2025)

**SUBJECT OPTIONS:**

- "[First Name], saw your LangChain implementation at [Company]"
- "Scaling AI agents at [Company]? The 46% trust gap challenge"
- "[Company]'s agent infrastructure + October 2025 best practices"

**BODY:**

```
Hi [First Name],

I came across [Company's] work on [specific project/GitHub repo/blog/funding]
and was impressed by [specific technical detail - prove you read it].

With 84% of developers using AI tools but 46% actively distrusting accuracy,
teams building agents with [LangChain/CrewAI/their framework] are hitting
a common wall: the "almost right, but not quite" debugging burden that 66%
of developers cite as their top frustration.

At Runloop, we've built code sandboxes (devboxes) specifically for AI engineers
testing coding agents in isolated environments.

Teams like [similar company] use us to:

• Test agent-generated code safely before production (addressing trust gap)
• Run LangChain/LlamaIndex workflows in isolated sandboxes
• Debug agent behavior without polluting their main codebase
• Iterate 3x faster with sub-90ms environment spin-ups

Given [Company's] focus on [their specific AI product] and your recent
[funding/hiring/blog post], curious if agent testing and code execution
isolation is on your radar for Q4 2025?

I will only need 5-10 mins to show you just how powerful building Agents
and Orchestrated AI Systems in their own sandboxed environments can be.
No pressure or obligation to signup for any demos and I will gladly share
with you some complex blueprints for top 2025 AI Agent use cases that you
can check out on your own.

To help you decide, I've attached "Enterprise Agentic AI Development Best
Practices: October 2025 Edition": [link to helpful resource, not sales page].

Best,
[Your Name]
[Title] @ Runloop

P.S. — Saw your thoughts on [recent LinkedIn post/tweet about AI agents].
[Specific comment showing engagement.]
```

### Why This Works (Proven Results)

**Personalization:**

- Opens with specific research
- Connects target to market narrative
- References their exact tech stack

**Market Context:**

- Addresses 2025 pain points (trust gap, debugging)
- Uses current statistics (84%, 46%, 66%)
- Peer comparison for validation

**Value Stacking:**

- Multiple "forced-to-review" lead magnets
- No-pressure offer (reduces friction)
- Ready-to-go Agent blueprints
- 2025 best practices guide

**Human Touch:**

- P.S. increases reply rate 30%+
- Shows genuine engagement
- Not template spam

---

## SLIDE 11: PART 5 - TOOLS & TECH STACK

### Title

**My Growth Marketing Stack**

### Primary Tools (Tier 1)

**1. Crunchbase Pro** - Funding + company data

- Filter: AI/ML, seed-Series C, funded last 6 months

**2. LinkedIn Sales Navigator** ($99/mo)

- AI-assisted search (2025 features)
- Job change tracking (OpenAI/Anthropic exodus)
- 50 InMails/month

**3. Apollo.io** ($49-79/mo)

- 275M contact database
- Email sequencing
- LinkedIn integration

**4. HubSpot CRM** (Free or $45/mo)

- Pipeline management
- Email tracking
- Deal stages

**5. PitchBook** - VC-backed startup database

### Secondary Tools (Tier 2)

**6. Clay.com** ($149-349/mo)

- Waterfall enrichment (50+ data sources)
- AI personalization
- GPT-4 integration

**7. Common Room** ($1-2K/mo)

- Community signal detection
- GitHub, Discord, Slack tracking
- Community-to-pipeline

**8. Clearbit (HubSpot)** ($1K+/mo)

- Real-time enrichment
- Tech stack detection

### Automation Tools

**9. GitHub MCP Servers** - Repository monitoring
**10. LinkedIn MCP Servers** - Profile scraping
**11. RapidAPI** - GitHub/LinkedIn APIs
**12. Runloop Agents** - Autonomous search execution

### Budget Tiers

**Bootstrap ($0-$200/mo):**

- Apollo Free, HubSpot Free, LinkedIn Basic, GitHub monitoring

**Starter ($300-$500/mo):**

- Apollo Basic, Sales Navigator, Clay Starter, HubSpot Starter

**Scaling ($1.5K-$3K/mo):**

- Apollo Pro, Sales Navigator Advanced, Clay Explorer, Common Room

---

## SLIDE 12: PART 6 - 30-DAY ACTION PLAN

### Title

**Week 1: Foundation & Research**

### Days 1-2: Tool Setup

- Subscribe to LinkedIn Sales Navigator Core ($100)
- Create Apollo.io account (free tier)
- Set up HubSpot CRM
- Join 5 communities: LangChain, Anthropic, OpenAI, Hugging Face, MLOps
- Set up Common Room free trial

### Days 3-4: Build Target List (Goal: 100 Companies)

- YC AI Companies → 30 companies
- TechCrunch Q3 2025 funding → 25 AI agent startups
- GitHub: `language:Python "langchain" pushed:>2025-09-01 stars:>100` → 25 companies
- LangChain State of AI Agents 2025 report → 10 featured companies
- ProductHunt "AI Developer Tools" October 2025 → 10 launches

**Deliverable:** Google Sheet with 100 targets, funding data, tech stack

### Days 5-6: Build Contact List (Goal: 200 Contacts)

**Per company find:**

- Technical founder/CEO (if technical)
- CTO or VP Engineering
- AI/ML Engineering Lead
- Platform/Infrastructure lead

**Enrich with:**

- Apollo + LinkedIn (75%+ email coverage)
- Company size, funding stage, tech stack
- Recent GitHub activity

### Day 7: Segment & Prioritize

**Tier 1 (30-40 leads):**

- Recent funding ($15M+ seed/$75M+ Series A)
- Hiring actively
- LangChain/agent framework in stack
- Deep personalization research

**Tier 2 (60-80 leads):**

- Production AI product
- 10+ engineers
- Active GitHub

**Tier 3 (80-100 leads):**

- Early stage but qualified
- Nurture sequence

---

## SLIDE 13: WEEKS 2-4 EXECUTION

### Title

**Week 2: Tier 1 Hyper-Personalized Outreach**

### Days 8-9: Deep Research + Custom Emails

- Read blog posts, analyze GitHub, find pain points
- Reference Q4 conferences they might attend
- Write fully custom emails (not templates)
- Use Runloop Outreach Coordinator Agent
- **Target:** 10-15 emails/day

### Days 10-11: Community Engagement

- Monitor Discord/Slack for Tier 1 activity
- Answer questions (value-first)
- Common Room for tracking
- Share LangChain 2025 report

### Days 12-14: Follow-Up

- Reply <2 hours
- Calendly for interested leads
- Follow-up Email #2 for non-responders

**Week 2 Targets:**

- Emails sent: 30-40 (Tier 1)
- Open rate: 50%+
- Reply rate: 15-20%
- **Meetings booked: 4-6**

### Week 3: Tier 2 Scale + Content

**Days 15-17:** Tier 2 Campaign (60-80 leads)

- Semi-personalized with Clay
- 20-25 emails/day
- Reference October 2025 events

**Days 18-19:** Content Marketing

- Publish: "Enterprise Agentic AI Best Practices: October 2025"
- Share on Reddit, HackerNews, LinkedIn
- Use as value-add in follow-ups

**Days 20-21:** Optimization

- Review subject line performance
- Identify best personalization
- Find 10-15 new Tier 1 from Q3 funding

**Week 3 Targets:**

- Total emails: 90-120
- Tier 2 reply: 10-15%
- **Total meetings: 8-12**

### Week 4: Optimize & Plan

**Days 22-24:** Campaign Optimization

- Analyze top tactics
- Breakup emails
- Tier 3 to nurture

**Days 25-28:** PLG + Community

- Analyze free tier signups for PQLs
- Expand to 5 new communities
- Plan Month 2

**Days 29-30:** Month 1 Review

- Document learnings
- Plan 150 new companies (total: 250)

---

## SLIDE 14: SUCCESS METRICS & KPIs

### Title

**How We Measure Success**

### Month 1 Targets (30-Day Sprint)

**Volume:**

- Target companies: **100+**
- Qualified contacts: **200+**
- Outreach emails: **120-150**
- LinkedIn connections: **50-75**
- Community touches: **30-50**

**Quality:**

- Email open rate: **45-55%**
- Reply rate: **12-18%**
- **Meetings booked: 10-15**
- **Qualified pipeline: 5-8 opportunities**
- Free tier signups: **20-50**
- Fortune 100 conversations: **2-5**

**Efficiency:**

- Cost per lead: **$25-50**
- Time to first response: **<24 hours**
- Meeting show-up: **60%+**
- Discovery → qualified: **40%+**
- Community → pipeline: **10-15%**

### Q4 2025 & Q1 2026 Preview

**November (Month 2):**

- Expand to 250 companies
- Attend NeurIPS (Nov 30-Dec 7)
- Hire SDR if 15+ meetings achieved

**December:**

- 2025 retrospective content
- 2026 predictions
- Case study development

**January 2026:**

- Launch LinkedIn ads
- Implement intent data (Bombora/6sense)
- Scale to 500 companies

**February-March:**

- NVIDIA GTC 2026 (Mar 16-19)
- Multi-channel expansion
- Video demo series

---

## SLIDE 15: THE INNGEST PARTNERSHIP OPPORTUNITY

### Title

**Strategic Partnership: 2x-10x Our Addressable Market**

### Why Inngest is the Highest Priority

**What They Are:**

- AI workflow orchestration platform
- $21M Series A (September 2025 - 3 weeks ago!)
- AgentKit framework for building agents
- Serving AI agent builders

**Why Partnership Makes Sense:**

**For Inngest:**

- Their customers need code execution primitive
- They orchestrate but don't provide sandboxed execution
- Runloop integration = complete platform offering
- Faster time-to-production for their customers

**For Runloop:**

- Access to ALL Inngest customers needing execution
- Platform distribution vs. one-by-one sales
- Co-marketing with well-funded ($21M) partner
- Validation from leading orchestration platform

### Partnership Approach

**Phase 1: Technical Integration (Month 1-2)**

- Build Runloop connector for Inngest workflows
- `step.ai.runloop()` primitive
- Joint technical documentation

**Phase 2: Go-to-Market (Month 3-4)**

- Co-host webinar: "Production AI Agents with Inngest + Runloop"
- Joint case study with mutual customer
- Inngest marketplace listing

**Phase 3: Strategic Alliance (Month 6+)**

- Preferred sandbox provider
- Revenue share agreement
- Joint enterprise sales motion

### Expected Impact

**Conservative:**

- 10-20 Inngest customers try Runloop in Q1 2026
- 5-10 convert to paying (20-30% conversion)
- $50K-150K ARR from partnership

**Aggressive:**

- Platform integration = default choice
- 50+ customers in pipeline
- $200K-500K ARR impact

**Timing:** Reach out Week 2 (they just raised, actively building ecosystem)

---

## SLIDE 16: Q4 2025 EXECUTION ROADMAP

### Title

**Immediate Next Steps: October-December 2025**

### October (Week 1-4)

**Week 1 (Oct 10-16):**

- Interview debrief
- Tool stack setup
- 100-company target list
- Community joins

**Week 2 (Oct 17-23):**

- Tier 1 outreach (30-40 leads)
- Inngest partnership outreach
- NVIDIA GTC DC attendance (Oct 27-29)

**Week 3 (Oct 24-31):**

- Tier 2 scale (60-80 leads)
- GTC follow-ups
- Month 1 analysis

**Week 4 (Nov 1-7):**

- Optimization
- AI Infra Summit (Nov 7)
- Plan Month 2

### November (Month 2)

**Expand:**

- 250 total companies
- 2 new verticals (identify in Month 1)

**Events:**

- NeurIPS 2025 (Nov 30-Dec 7)

**Team:**

- Hire SDR if 15+ meetings in Month 1

**Partnerships:**

- Inngest technical integration
- LangChain ecosystem engagement

### December (Month 3)

**Content:**

- 2025 retrospective
- 2026 predictions
- First case study (if customer available)

**Planning:**

- Q1 2026 conference calendar
- Budget for scaling tools
- SDR training materials

---

## SLIDE 17: WHY THIS APPROACH WINS

### Title

**Competitive Advantages Built Into This Strategy**

### 1. Strategic Target Selection

**Others Target:** Dev tools (competitors) → Wasted effort
**We Target:** Vertical AI (healthcare, legal, finance) → Clear need, won't build

**Advantage:** No competition for these customers, clear value prop

### 2. "Not Safe to Ignore" Positioning

**Others:** Generic cold emails, spray-and-pray
**We:** Hyper-relevant, multi-channel, value-first, omnipresent

**Advantage:** Stand out in noisy market, higher response rates

### 3. Proven Outsourcing Behavior

**Others:** Assume everyone builds infrastructure
**We:** Target companies PROVEN to outsource (using LangChain, cloud)

**Advantage:** Higher conversion, faster sales cycles

### 4. Compliance as Accelerant

**Others:** See compliance as obstacle
**We:** Leverage compliance needs (HIPAA, SOC 2) as reason to buy

**Advantage:** Customers PREFER certified vendors, willing to pay premium

### 5. Platform Partnership Strategy

**Others:** One-by-one sales
**We:** Inngest partnership = access to their entire customer base

**Advantage:** 2x-10x addressable market overnight

### 6. Fresh Funding Targeting

**Others:** Random outreach
**We:** Focus on companies 3-6 months post-funding

**Advantage:** Budget available, infrastructure investment phase

### 7. Data-Driven & Adaptive

**Others:** Set-it-and-forget-it
**We:** Weekly optimization, A/B testing, customer feedback loops

**Advantage:** Continuous improvement, maximize ROI

---

## SLIDE 18: EXPECTED OUTCOMES

### Title

**What Success Looks Like: 30-60-90 Day Milestones**

### Month 1 (30 Days): Foundation + Proof

**Deliverables:**

- ✅ 100+ target companies (strategic, non-obvious)
- ✅ 200+ qualified contacts with enrichment
- ✅ 120-150 outreach emails (personalized)
- ✅ Tool stack operational
- ✅ 5+ communities joined

**Results:**

- **10-15 discovery meetings**
- **5-8 qualified opportunities**
- **2-3 pilot/POC initiated**
- **Inngest partnership discussions started**
- **Open: 45-55%, Reply: 12-18%**

### Month 2 (60 Days): Scale & Systematize

**Deliverables:**

- ✅ 250 total companies
- ✅ Clay automation
- ✅ 3 email variants A/B tested
- ✅ 2 technical content pieces

**Results:**

- **25-30 discovery meetings**
- **12-15 qualified opportunities**
- **5-8 closed deals or active POCs**
- **Inngest technical integration started**
- **Repeatable playbook validated**

### Month 3 (90 Days): Multi-Channel Expansion

**Deliverables:**

- ✅ Multi-channel campaigns live
- ✅ First case study published
- ✅ SDR hired (if metrics support)
- ✅ Inngest partnership announced

**Results:**

- **30-40 discovery meetings**
- **20+ qualified opportunities**
- **10-15 closed deals**
- **$50K-150K ARR pipeline**
- **Inngest partnership generating leads**

### The Compounding Effect

**Month 1:** Foundation
**Month 2:** Optimization (Month 1 efforts yield Month 2 results)
**Month 3:** Acceleration (Month 2 optimization compounds)
**Month 4-6:** Predictable, scalable revenue engine + platform partnerships

---

## SLIDE 19: NEXT STEPS - LET'S BUILD THIS

### Title

**My First 30 Days at Runloop**

### Week 1: Deep Dive & Setup

**Days 1-3:**

- Audit existing CRM, leads, past outreach
- Interview team on customer insights
- Review competitor positioning
- Finalize ICP with stakeholders

**Days 4-5:**

- Provision tools (Sales Navigator, Apollo, Clay)
- Configure CRM workflows, dashboards
- Join communities, set up monitoring

**Days 6-7:**

- Build 100-company target list
- Identify 200+ contacts with research
- Segment into Tier 1/2/3

### Weeks 2-4: Execute Sprint

- Launch Tier 1 hyper-personalized
- Scale to Tier 2 semi-automated
- Track daily, optimize weekly
- **Goal: 10-15 meetings in first 30 days**

### Ongoing Collaboration

**Weekly:** Metrics review (15 min)
**Bi-Weekly:** Pipeline review (30 min)
**Monthly:** Strategic planning (60 min)

### What I Need from Runloop

**To Hit Ground Running:**

- Existing CRM/contact data access
- Product demo environment
- Technical documentation
- Tool budget approval ($300-500/mo initially)

### What Runloop Gets from Me

**Immediate Value:**

- Operational lead gen engine (30 days)
- Transparent metrics, accountability
- "Not Safe to Ignore" brand positioning
- Foundation for scaling to sales team
- Strategic partnerships (Inngest, LangChain)

**Let's build the AI infrastructure sales playbook that becomes the industry standard.**

---

## SLIDE 20: CONCLUSION - WHY ME, WHY NOW

### Title

**Why This Strategy Will Work for Runloop**

### My Proven Track Record

**2024-2025 Results:**

- 100+ paying customers secured with this approach
- 700+ email leads generated
- Email templates with 30%+ reply rate increase
- Proven "Not Safe to Ignore" positioning

### Why This Moment Matters

**Market Timing:**

- 51% of agents in production (up from 20%) = NOW is when they need us
- 46% trust deficit = our reliability message resonates
- $2.8B in agent funding (2025 YTD) = budgets available
- Q4 conferences = perfect timing for outreach

**Strategic Advantages:**

- Non-obvious targets (vertical AI, not dev tools) = less competition
- Inngest partnership = 2x-10x market access
- Compliance angle = premium pricing justified
- Platform strategy = scalable beyond one-by-one sales

### The Opportunity

**If we execute this playbook:**

**Month 1:**

- 10-15 meetings
- 5-8 qualified opportunities
- Inngest partnership initiated

**Month 3:**

- 10-15 closed deals
- $50K-150K ARR pipeline
- Inngest generating referrals
- Repeatable, scalable engine

**Month 6:**

- Platform partnerships with 2-3 orchestration players
- Multi-person sales team scaling this playbook
- $200K-500K ARR run rate
- Industry-standard positioning

**This isn't just a lead gen strategy. It's a blueprint for dominating the AI infrastructure market by being strategically NOT SAFE TO IGNORE.**

**Ready to execute. Ready to scale. Ready to build.**

---

**Gamma Instructions:**

For this presentation, please use:

- **Color Scheme:** Modern tech palette - deep blue (#1E3A8A) primary, vibrant cyan (#06B6D4) accent, white backgrounds
- **Typography:** Clean sans-serif (Inter or similar), bold headers, readable body text
- **Visual Style:** Professional with tech-forward aesthetic, use icons for frameworks (LangChain, Claude, etc.)
- **Slide Layouts:** Vary between text-heavy strategy slides and visual data slides
- **Charts/Graphics:** Where numbers are mentioned (market size, percentages), create simple bar charts or stat callouts
- **Icons:** Use tech/infrastructure icons for tools, checkmarks for deliverables, arrows for processes
- **Emphasis:** Highlight key numbers (51%, 46%, $2.8B) in accent color with larger font
- **Tables:** For comparison sections (target companies, tools), use clean bordered tables
- **Callout Boxes:** For "Why This Works" and strategic insights, use colored background boxes
- **Flow Diagrams:** For cadences and processes (14-day sequence), create simple timeline visualizations
- **Company Logos:** Where company names mentioned (Inngest, Monte Carlo), include small logos if available
- **Overall Tone:** Professional, strategic, data-driven, action-oriented

**Special Requests:**

- Slide 2 (Strategic Insight): Use side-by-side comparison boxes (Everyone Else vs. We Should)
- Slide 4 (Not Safe to Ignore): Create 4 numbered element boxes with icons
- Slide 5 (ICP): Create tiered list with visual hierarchy (1A highest, 1B, 1C, 2)
- Slide 9 (Outreach): Create timeline visualization for 14-21 day sequence
- Slide 14 (Metrics): Create dashboard-style layout with metric cards
- Slide 15 (Inngest): Create partnership flow diagram showing integration phases
- Slide 18 (Outcomes): Create 3-column comparison (Month 1, 2, 3) with checkmarks

Make this look like a strategic consulting deck (McKinsey/Bain style) but with modern tech aesthetics. Professional enough for enterprise investors, actionable enough for immediate execution.