Tim Carden

We will generate you 1-5 meetings with your ICP before asking for a penny. Link in featured section if you're interested.

Co-Founder

Here's why most cold emails go to spam.

(And what we do differently)

The problem isn't your copy.

It's your infrastructure.

Most founders: 1-2 inboxes, blasting 100+ emails/day.

What happens: Spam filters notice. Domain reputation tanks. Game over.

What we do instead:

1. Multiple inboxes per domain
↳ 3 pre-warmed inboxes (Zapmail) or 2 Google + up to 25 Outlook (ScaledMail)

2. Strict sending limits
↳ 15-20 cold emails per inbox per day. Never more.

3. Warmup ratio locked
↳ 1.5x warmup emails for every cold send

4. Domain-level health monitoring
↳ If ONE inbox drops below 98% health, all inboxes from that domain get pulled

5. Automatic removal
↳ Unhealthy accounts removed from campaigns instantly. No manual checking.

The result: Your emails actually land in the inbox.

Not the promotions tab.

Not spam.

The actual inbox.

Most founders learn this after burning 3 domains.

You don't have to.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Co-Founder @ RevenueFlow. Filling calendars with qualified meetings for high-ticket B2B companies through cold email

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Here's our 10-stage lead enrichment pipeline.

It runs while you sleep.

Most founders manually research leads one-by-one.

Here's what we built instead:

Stage 1: Blocklist check (150 workers)
↳ Filter unsubscribes and complaints instantly

Stage 2: Global dedup
↳ Never email the same person twice

Stage 3: AI ICP classification
↳ Every lead scored against your ideal customer profile

Stage 4: Email cache lookup
↳ 140,000+ emails already stored - no paying twice

Stage 5-8: Email waterfall
↳ 4 patterns tested before spending a penny on paid lookups

Stage 9: Personalization
↳ AI-written copy that doesn't sound like AI

Stage 10: Campaign upload
↳ Ready to send by the time you wake up

We process 4,000-5,000 leads per hour.

Your SDR does maybe 50.

Your competitors aren't hiring more people.

They're building systems like this.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Most founders think they need to hire an SDR.
They don't. They need to automate.
Here's the math:

SDR cost:
- Salary: $50-70K/year
- Tools: $500/month
- Training: 3+ months before productive
- Output: Maybe 50 leads researched per day

Automation cost:
- Infrastructure: Fraction of an SDR salary
- Speed: 4,000-5,000 leads per hour
- Training: Zero
- Consistency: 24/7, no sick days, no ramp time

The gap isn't 2x.

It's 100x.

One SDR working 8 hours might research 400 leads.

Our pipeline does that in 5 minutes.

While you sleep.

While you're in meetings.

While your competitors are still interviewing candidates.

The best GTM teams aren't hiring more people.

They're building systems that don't need people.

Your SDR isn't slow.

The model is slow.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Email verification at $0.0005.

Not $0.05. Not $0.005.

$0.0005.

Here's why that matters:

Most teams verify emails one at a time:
• Find email: $0.02
• Verify email: $0.01
• Total: $0.03 per lead

Our approach:

• Check cache first: $0
• Try 4 patterns at $0.0005 each: $0.002
• Only pay for lookup if patterns fail

For a 10,000 lead campaign:

Traditional: $300 in verification alone
Our pipeline: Under $50

$250 saved. Per campaign.

And those savings compound.

Every email we find gets cached permanently.

Next time that person appears in any campaign, the lookup is instant and free.

140,000+ emails already cached.

Every week you're not caching, you're paying twice for the same people.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Most cold emails get ignored.

  Not because your offer is bad.
  Because you're writing like a stranger.

  Here's the framework that gets 40%+ open rates:

  The secret? Write like you're texting a friend who asked for help.

  Not: "I noticed your company is scaling..."
  But: "Quick question - are you still manually finding leads?"

  Specificity builds trust.
  Brevity shows respect.
  Questions create curiosity.

  What's your current open rate on cold emails?

Clay went from $1M to $100M ARR in 2 years.

They recently hit a $3B valuation. Here's their GTM playbook 👇

1. Six Years of Foundation Work

Clay didn't rush to market.

They spent 6 years building the product before explosive growth hit.

The lesson: Infrastructure matters more than speed.


2. Credit-Based Pricing Model

Every action costs credits:
→ Pull a LinkedIn profile
→ Find contact info
→ Look up a phone number
→ Run an AI prompt

This model scaled with usage. More value = more credits = more revenue.


3. Self-Serve First, Enterprise Later

They built a foundational self-serve customer base first.
Only in early 2024 did they move upmarket.

Now their customers include:
→ OpenAI
→ Canva
→ Anthropic
→ Rippling
→ Perplexity


4. Outbound Use Case as Core Wedge

Clay connects to sequencing tools to automatically create email campaigns from enriched data.

Rippling doubled their cold email performance year-over-year using Clay in 2023.

That's the power of good data + automation.


5. Near-Breakeven Operations

Even at $100M ARR, Clay operates close to breakeven.

They're reinvesting everything into growth rather than optimizing for profit margins.


The timeline:
→ 2018-2022: Building foundation
→ 2022: $500K ARR
→ 2023: 10x to ~$5M ARR
→ 2024: 6x growth
→ 2025: $100M ARR, $3B valuation

From 6 years of patience to 2 years of explosive growth.

P.S: What's your take on credit-based pricing for GTM tools?

We run an 8-stage lead enrichment pipeline.

Here's what happens to every lead in under 3 seconds:

Stage 1: Blocklist Check
• Filter unsubscribes and complaints
• 150 workers running in parallel

Stage 2: Cache Lookup
• Check if we've emailed this person before
• 140,000+ emails already cached

Stage 3: ICP Classification
• AI determines if lead fits your ideal customer profile
• Rejects bad fits before we spend a penny

Stage 4: Email Cache
• Check our database for known emails
• Free lookup for repeat contacts

Stage 5: Pattern Verification
• Try 4 email patterns automatically
• firstname@company, first.last@company, etc.

Stage 6-7: Professional Finders
• Only pay for lookups when needed
• Waterfall through providers

Stage 8: Final Upload
• Clean, verified lead ready for campaign

The result:

4,000-5,000 leads enriched per hour.

Your SDR does 10-15 per hour manually.

That's not an incremental improvement.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Your competitors aren't hiring more SDRs.

They're automating.

While you're posting job listings for $80K/year sales reps:

• They're running 150 parallel workers
• They're processing thousands of leads per hour
• They're paying under $0.02 per enriched lead

The math has changed.

Manual lead research:
• 10-15 leads per SDR per hour
• $80K+ salary + benefits + management
• Weeks to ramp up new hires

Automated pipeline:
• 4,000-5,000 leads per hour
• No sick days, no turnover
• Scales instantly

This isn't about replacing humans.

It's about letting AI handle the grunt work so your team can focus on closing deals.

Every week you wait, competitors are building lead lists you'll never catch up to.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

AI agents now book more meetings than your entire SDR team.

For 1/10th the cost.

Here's what the data shows:

→ AI SDRs cost ~$833/month
→ Human SDRs cost $9,000+/month (fully loaded)
→ That's 10 cents on the dollar

The results?

• AI handles 1,000+ contacts per day (no lunch breaks)
• Cost per lead: $39 vs $262 for humans
• 83% of teams using AI saw revenue growth

36% of B2B companies eliminated their SDR teams in 2025.

Not because AI is "better" at everything.

Because the economics of volume prospecting fundamentally changed.

The smartest founders aren't asking "should we use AI?"

They're asking "how fast can we implement it?"

The gap between early adopters and everyone else is widening every month.

You're paying twice for the same email addresses.

And you probably don't know it.

Here's how it happens:

Month 1: You run a campaign. Find 5,000 emails. Cost: $100.

Month 2: You run another campaign. Different list. But 2,000 of those people? You already have their emails.

You just paid for them again.

Month 3: Same thing. Another $40 wasted on emails you already own.

Multiply that by 12 months.

That's $500+ thrown away. Per year. On emails sitting in your own CRM.

What we do differently:

We cache every email permanently.

140,000+ leads in our database.

When a new lead comes in, we check the cache first.

Hit rate? Often 20-30% on mature campaigns.

That's 20-30% of your enrichment costs eliminated instantly.

Before we spend a penny on a paid lookup, we check:
1. Have we seen this person before?
2. Do we already have their verified email?
3. Is the domain a catch-all? (Skip it entirely)

Simple system. Massive savings.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Most founders burn money on email lookups.

We check 4 email patterns before spending a penny.

Here's the waterfall we run:

1. Cache lookup first
• 140,000+ verified emails in our database
• Instant match = $0 cost

2. Pattern verification
• Try firstname@domain
• Try first.last@domain
• Try firstlast@domain
• Try f.last@domain
• Verification costs $0.0005 per check

3. Professional finders (only if needed)
• LeadMagic: ~$0.02/lookup
• Icypeas: ~$0.02/lookup

The result:

Most leads never hit the paid providers.

Our average cost per enriched lead: $0.003 - $0.02

Compare that to paying $0.02 for every single lookup from day one.

The 4-pattern check alone saves 60-70% on email finding costs.

Every cached email is pure profit.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Test batch in minutes. Full campaign in hours.

This is how we launch campaigns:

Step 1: Test batch (20-50 leads)
• Run locally with 10 workers
• Verify domains parse correctly
• Check ICP is accepting the right leads
• Confirm emails are being found

Time: 15-20 minutes

Step 2: Review results
• X/20 enriched successfully
• Y skipped (catch-all domains)
• Z failed (no email found)

If results look good:

Step 3: Trigger cloud run
• 150 workers in parallel
• 4,000-5,000 leads per hour
• Automatic Slack notification when done

Step 4: Review in Email Bison
• All leads uploaded to campaign
• Signatures auto-configured
• Click "Start"

Total time from CSV to live campaign: 2-4 hours

Not days. Not weeks.

Hours.

---

Want us to book 1-5 meetings for you for free?

Book a call with our team to see if we can help.

Extensis

Senior Product Manager (acquired by Monotype)

Peppermint

An online social network, content, and learning platform for experienced adults.

• Collaborate directly with the CPO to drive product vision and strategy from 0 to 1
• Conduct customer research to mitigate product risk areas
• Run user interviews to understand customer problems and translate those into solution requirements
• Perform functional, usability, and design analysis to identify UI/UX areas of friction and user experience improvements
• Define subscription model tiers and paywall restrictions
• Create Product functional and business requirements documents (PRDs)
• Run requirements review cycles to clarify and get alignment across Product teams and stakeholders
• Compile system-wide metrics and define dashboards and analytics reporting requirements
• Working with the internal Content team to understand their content creation and publication requirements
• Partnering with the Design and Engineering teams to drive User Acceptance Testing (UAT) process and review

Senior Product Manager (part of Redesign Health)

Rockbot

A streaming media (Music, Digital Displays, and TV) platform for brick-and-mortar businesses.

• Formulated and executed Product’s go-to-market plan, strategy, and activities, in coordination with Marketing and Sales teams, to bring to market the fourth and major release of the Rockbot platform
• As the company’s first Product Manager, implemented product best practices (documentation and requirements, product development cycles, and cross-functional operating procedures across Product, Design, Engineering, QA, and Stakeholders
• Worked closely with the UI/UX team and conducted customer interviews and research to identify optimization areas to improve the first-time onboarding experience for the Music streaming service, setup, and troubleshooting
• Held weekly Product office hours to facilitate and stimulate cross-department discussion and alignment around the company’s initiatives, priorities, and objectives to help inform Product strategy and planning

Senior Product Manager

Xandr

Ad-tech platform for publishers and advertisers.

Customer Experience Platform:
Manage the creation of internal products, tools, and processes to enable and support client-facing Product teams
• Common component library: standardize and unify our product’s look and feel while accelerating time to market
• Analytics tools integration: allow product teams to gather and analyze user behavior and identify areas of improvement
• Client-facing documentation portal: deploy and centralize training, education, and support documentation

Senior Product Manager and Team Lead (acquired by Microsoft)

Nimble Collective

SaaS cloud-based animation production platform empowering decentralized digital content creation.

• Led product vision, roadmap, and strategy to the company’s first GA release and subsequent platform enhancements
• Managed product/feature prioritization while communicating timelines, constraints, and trade-offs to the Executive team
• Partnered with BizDev and Sales to understand clients’ requirements to drive platform adoption 
• Worked with Marketing to inform product’s unique value proposition and key messaging points
• Tracked vital performance indicators to inform new products, features, and bug prioritization
• Conducted usability research to understand users’ problems and daily activities better to improve the platform’s workflows
• Wrote detailed Epics and User Stories to help clarify context and requirements for design and engineering teams
• Led complete re-design of front-end UI/UX to minimize onboarding friction and increase user engagement
•Led Product (2)/Project Managers (1), Design (1), Engineering (6), and QA (3) teams defining key objectives and weekly activities

Director of Product Management (acquired by Amazon)

VenueNext

Systems integration management platform and mobile apps for large venues (stadiums, hospitals, cafeterias, etc.).

• Helped drive product vision, roadmap, and requirements across multiple clients/verticals while managing client expectations
• Realigned product development process from an agency model into a product-centric organization
• Wrote detailed product requirements, created wireframes, and managed backlogs, sprint planning, and demo days
• Led the creation of product-customization tools to allow users to have more control over their deployments
• Led Product (3)/Project Managers (3), Design (4), Engineering (6), and QA (10) teams to deliver products on budget, on time and on quality

Director of Product Management (acquired by Shift4)

Self-employed

Advised start-ups in product/market fit, job-to-be-done, design, MVPs, Agile methodologies, and cross-functional team development.

Videoo: Next-generation social video player platform allowing brands to engage audiences through interactive storytelling
• Led design and functional roadmap of video player platform 
• Redesigned platform, video player, and business rules to simplify workflows and drive increased user engagement
•Partnered with Sales, Marketing, and Biz Dev to understand the market landscape and addressable brands’ requirements
• Worked closely with the executive team to define go-to-market strategies and growth opportunities
• Prioritized feature and development requirements based on shifting business priorities, needs, and resources

Other projects: 
• On-demand delivery
• Retail hardware/software solution
• Public policy & non-profit

Product Management Consultant

StudioNow

SaaS cloud-based marketplace for video production and production/asset management platform.

• Drove vision, strategy, and requirement to transition the business from brick-and-mortar into a product-driven service platform  
• Engaged with the BizDev team to understand and define customer needs, market positioning, and go-to-market strategy
• Organized and managed quarterly CAB meetings across top customers to gather input and product alignment
• Worked with Customer Success teams in the creation of internal management tools used to troubleshoot and manage services
• Led cross-organization processes to improve development cycles, communication, and cross-team performance

Director of Product Management

Ask.com

Lead efforts in creating a new ad-serving product based on an internally developed online ad-serving platform.

• Partnered with Executive team to define new business opportunities and monetization strategy
• Led product development of a new ad unit, driving a 50% increase in LTV
• Researched and wrote PRDs/prototypes to grow the user base from 100K users to 4M+ installs
• Designed and ran A/B test to increase conversion rate and traffic to advertising partners
• Revised business rules resulting in a 6% uninstalls decline and install lifetime increases from 60 to 100+ days
• Owned product development cycle: use stories, product requirements, sprint prioritization, and release process
• Introduced Agile methodologies, which improved sprint cycles by 50% while increasing quality & and reducing rollbacks

Product Manager

Oversaw end-to-end black box testing (front/back end) of an internally developed online ad-serving platform.

• QA front-end functionality, back-end ad serving logic, algorithms, and pre/post-production release validation
• Designed and implemented end-to-end testing to validate UI/server integration and data integrity
• Met weekly with lead developers & product managers to schedule release & development cycles
• Provided in-house UI/UX and prototyping, resulting in reduced costs and faster requirement design cycles
• Worked closely with product managers and developers performing ambiguity analysis, resulting in shorter development cycles and a 30% improvement in timely releases
• Improved releases, resulting in a 20% rollback decrease and increased stakeholders’ satisfaction

Senior QA Engineer

Kaiser Permanente

Participate in the early planning, design, and development stages for two technology innovation projects.

Emergency Room iPhone application:
• Reviewed user requirements with the product manager and lead developer
• Wrote use cases and storyboard application functionality and workflow
• Designed several UIs and functionality web-based workflow prototype demos
•Extracted core features and functionality from web-based applications and re-design to be implemented in the iPhone
• Worked with the web-based development team on UI design and functionality so it can be consistent with mobile application
• Rapid prototype design implementation and turnaround of new functionality workflow and design requirements
• Designed graphic UI elements for both web-based and iPhone applications

Imagery storage system:
• Wrote use cases with the project manager to flush out functionality requirements
• Wrote use cases and storyboard application functionality and workflow
• Spec out and define early functionality, workflow, and UI
• Layout different wire-frame options to conduct usability testing and application workflow
• Designed click-through functionality and UI demo
• Designed UI graphic elements and set UI style guidelines

Business Analyst Consultant

Leadership, culture and team building | Product Manager and Problem Solver | B2B, B2C, SaaS, Consumer, 0 to 1

Diego is a seasoned product manager and leader with over 20 years of experience in the tech and startup industries. His extensive experience and deep knowledge of product strategy, team leadership, and building company cultures make him a valuable asset to any team.

Diego has worked in various high-level roles, including Senior Product Manager at Peppermint, a startup focused on combating loneliness among older adults, which was developed under Redesign Health, and Director of Product at Nimble Collective (acquired by Amazon), where he led the creation of the first fully virtualized animation platform - think Pixar Studios in a web browser.

Diego is known for his human-centered approach to leadership and product management. He emphasizes the importance of nurturing strong, collaborative teams and creating an empowering culture that drives product success. His leadership philosophy combines critical thinking, problem-solving, and empathy to develop solutions that improve people’s lives.

Beyond his professional work, he is passionate about personal growth, mentoring, and exploring creative outlets like close-up magic and fly fishing.

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The Battle

Tim Carden

Diego Schmunis

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