See links in the bio for newsletter and substack content on organic eCommerce growth.

My career began at a startup SEO agency, where I was the first in-house employee and helped scale it to a team of 10 (as much as a graduate can help, that is). The agency expanded its services too rapidly with an undersized team, which led to its decline. I gained exposure to various digital marketing channels, including managing the paid account for our second-largest client.

This agency was sold to another agency. Here, I learned the importance of connecting all elements of SEO into an overall strategy. I also saw firsthand how toxic culture and poor leadership can cause an agency to fail—an experience that shaped my career. The agency's reputation was so damaged that it had to rebrand. However, I met my current business partner, Antonio, during this time (Although we only worked together for about 6–8 months, he stuck around like a pungent smell you can't un-smell). Five years later, this agency's ethics were called into question when they directly copied our NOVOS proposition (I know!).

MADE.com
I moved in-house to MADE.com during its peak growth period. As the sole SEO managing all five markets, I inherited a declining channel after a failed A/B test on a major product category. Over two years, I generated over £20 million in non-brand growth. I also supported MADE through what was, at the time, the largest headless migration in Europe (as far as I’m aware).

Despite this success, I was offered only a £1,500 pay rise. After speaking with all the leading SEO agencies at the time, I knew there was a gap in the SEO market for this niche eCom knowledge.

NOVOS
After a failed attempt at launching a men's accessories website, Antonio and I pivoted to statement.digital. In March 2019 we rebranded to NOVOS and hired our first employee. By the end of this first year, NOVOS had grown to a team of 8. The following year, we doubled to 16, and the year after that, we reached 40.

In early 2022, Antonio and I sold NOVOS to our staff through an Employee Ownership model.

The Living House
In 2023, I invested in The Living House, an interior design studio. I own 20% and support the business's marketing and operations.

NOVOS 2.0
At the beginning of 2024, we launched NOVOS 2.0—a new strategy and direction for the agency. We're still focused on eCommerce but leaning more into our "Organic" expertise. The eCommerce industry is far too focused on short-term paid media for growth, and this is a problem we're aiming to solve with NOVOS 2.0.

If you have made it this far, well done

Samuel Hurley

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

Claude Code by Anthropic is the best GTM tool of 2026:


Not because it replaces your stack. Because it operates the whole stack

You run Clay for leads, Smartlead for sending, HubSpot for deals, Gong for calls, and a dozen tools between them.

You are the integration layer.
Copying data between tabs. Fixing broken automations. Routing leads by hand.

Here is how Claude Code changes that.

You give it your API keys and tell it what you want in plain English. It writes the code, connects to each tool's API, and runs the workflow. Any tool with an API becomes part of the system.

That means one agent can:

1. Pull target companies from Clay, Apollo, ZoomInfo, LinkedIn, Apify, and Crunchbase
It reads their websites with Firecrawl and rejects companies that don't fit before you spend on finding emails.

2. Check who is actively buying across Common Room, Warmly, Bombora, Similarweb, Trigify, and Demandbase
It ranks accounts by who is hiring, visiting competitor pages, and engaging with your content.

3. Find the right email by checking Clay, Apollo, ZoomInfo, and Findymail
It runs every address through MillionVerifier. Bad emails never touch a campaign.

4. Launch sequences in Email Bison, Smartlead, Instantly, lemlist, Outreach, or Salesloft
It reads every reply, classifies positive vs negative, and routes qualified leads into HubSpot, Salesforce, Attio, Pipedrive, Slack, or Cal.com.

5. Turn Grain and Gong call recordings into LinkedIn posts, Notion docs, and Figma briefs
It pushes deals forward with Qwilr proposals, CRM updates, and PartnerStack partner motions.

No pre-built integrations needed. You describe the workflow and it builds and runs it.

At RevenueFlow, we already run this across sourcing, contact data, sending, reply handling, transcripts, and proposals.

Claude Code is the first thing I have used that feels like a GTM operator instead of another AI feature.

We build AI-native outbound systems that book meetings on autopilot.

Want us to show you how it works?
https://lnkd.in/ek5BpJwD

Co-Founder @ RevenueFlow | AI-Native GTM Partner

No alternative text description for this image

GTM tech that actually matters in 2026. 27 tools:

I've been evaluating GTM tools for 2.5 years now. Signed up for trials, ran benchmarks, tested APIs, broke things in production.

Here's the full map. 27 tools we've tested or actively run:

Lead Gen and Data
Apollo, ZoomInfo, Clay, Findymail, MillionVerifier, Apify , Firecrawl, Serper 

AI and Automation
OpenAI, Anthropic, OpenRouter, Zapier, GitHub 

Email Infrastructure
EmailBison, Instantly.ai, Smartlead, lemlist, Zapmail.ai, ScaledMail 

Sales and CRM
HubSpot, Salesforce, Close, HeyReach.io, Gong, Outreach, Salesloft 

Meetings and Comms
Cal.com, Grain, Loom, Slack, Intercom

Data and Ops
Supabase, Airtable, Notion , Stripe, monday.com

Content
Figma, Notion, Loom 

Here's what most people get wrong:

Old way:
- Pick the "best" tool in each category
- Pay for the enterprise tier
- Use 10% of the features
- Stitch together with Zapier and prayers

New way:
- Pick the tool with the best API
- Build the integration yourself
- Only pay for what you actually call
- Let the pipeline decide what runs when

We process 4,000-5,000 leads per hour through this stack. The difference wasn't adding more tools. It was wiring fewer tools together properly.

The architecture matters more than the brand name on the invoice.

Want us to build it for you? See how: https://lnkd.in/e_9KDspw

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

There's 4,664 tools in the sales tech market. We spent $100K testing them. Here are the ones we use in our $3 million agency:


1) Enrichment Hub: the brain

Most teams enrich every lead the same way. We use AI to check buyer fit first. If they don't pass, we don't spend a dollar on data. That alone filters out 70% of bad leads before enrichment starts.

Tools: Clay, Claude Code (Anthropic)

2) LinkedIn Layer: the trigger

Post content, track who engages, feed those signals into your outreach. That's your warmest prospect list, they already know who you are.

Tools: LinkedIn, Trigify.io, Apify, Firecrawl

3) Contact Data: the waterfall

One email provider misses a huge chunk of contacts. Run multiple in sequence: check if you already have their email (free), try common email patterns (fraction of a penny), only hit paid finders for the rest.

Tools: Lead Magic, Icypeas, Prospeo, Findymail, MillionVerifier

4) Outreach Sending: the engine

Pick one platform. Every extra sending tool creates another dashboard, another analytics silo, and another place campaigns break quietly.

Tools: Instantly, Inc., Smartlead, EmailBison

5) CRM: the scoreboard

No CRM means no attribution. No attribution means you can't tell what's booking meetings vs. what just looks busy.

Tools: Attio, HubSpot, Salesforce, Close

6) Database + Runtime: the memory

Cached lookups, webhook routing, scheduled jobs. Without this layer every process stays manual and nothing compounds.

Tools: Supabase, Cloudflare, OpenRouter

7) Human-in-the-Loop: the filter

AI handles volume. Humans handle judgment. Automate everything except decisions that need context.

Tools: Slack

8) Inboxes + Domains: the foundation

Sender infrastructure is separate from your sending tool. Dedicated domains, warmed inboxes, health monitoring. If this layer is broken, nothing above it matters.

Tools: ScaledMail , Zapmail.ai

One rule: one owner per layer, clear handoffs, no overlap.

Most teams run 12 tools doing 6 jobs with nobody owning the full system.

While you're debugging dashboards, teams with half the stack are booking twice the meetings.

We build AI-native outbound systems that book meetings on autopilot.

Want us to show you how it works?

https://lnkd.in/grQa9hbB

This is what a $3 million funnel looks like:


5 jobs chained together.

Most teams only focus on 1.

Everyone argues about which sequencer to use.

Sequencing is job 4 out of 5.

Here is the full system:

1. Capture intent
- Trigify.io exports the people engaging with competitor posts on LinkedIn
- Teamfluence tracks who views your team's profiles
- RB2B identifies anonymous website visitors by name and company
- Warmly fires Slack alerts when target accounts spike in activity

You now have a list of accounts showing buying signals this week.

2. Build the account
- Clay takes those signals, enriches the company, and runs a scoring workflow
- Apollo fills in contacts, titles, and org structure
- Common Room merges signals from every channel into one account view
- LinkedIn gives you the context - recent posts, job changes - before you write a word

Random signals become a qualified, enriched account record.

3. Make it sendable
- Findymail pulls verified work emails from LinkedIn profiles
- MillionVerifier scrubs the list so you don't burn your sending domain
- Attio holds the account as the system of record and tracks pipeline stage
- Customer.io runs automated nurture for accounts that aren't ready for cold outreach yet

You know exactly who gets a cold email today and who gets a drip.

4. Sequence outbound
- Instantly runs high-volume cold email across rotated inboxes
- Smartlead manages multi-inbox sending with built-in warmup tracking
- lemlist adds LinkedIn touches and landing pages to the same sequence
- HeyReach automates LinkedIn connection requests and follow-ups at scale

Every channel fires from one coordinated system.

5. Close
- Cal.com routes the booked call to the right rep and confirms the meeting
- Grain records the call and pulls out objections, next steps, and key moments
- Qwilr generates a branded proposal the prospect can review and sign in-browser

Most teams spend months comparing sequencers.
That is 1 layer out of 5.

The harder part is wiring the handoffs between layers - and rebuilding the stack when the tools change, which happens every quarter now.

--

We build and run AI-native outbound systems that turn founder content and intent signals into qualified meetings.

If you want us to build this for your team, book a GTM strategy call:

https://lnkd.in/grQa9hbB

In 2026, the best sales teams use AI to replace entire SDR teams. Here's the setup:

Most B2B companies still have SDRs doing data entry. $80K/year reps doing tasks that AI handles in seconds.

The teams winning right now stripped it down to 3 roles. Here's exactly what each one does - old way vs new way:

SDR - Old Way vs New Way

Old: 5-10 SDRs spending 80% of their time on manual prospecting. Scraping LinkedIn. Building lists in spreadsheets. Copy-pasting personalization. Sending 50 emails a day each.

New: One SDR focuses on LinkedIn touchpoints and warm follow-ups. That's it. The human layer where it actually matters. Everything else - list building, email finding, verification, outreach - is fully automated.

Tools: LinkedIn, HeyReach.io, Cal.com, Inc., Grain 

GTM Engineer - Old Way vs New Way

Old: This role didn't exist. You had a RevOps person trying to connect 12 different tools. Half of them broke every week. The other half were overpriced and underdelivered.

New: One GTM Engineer manages the entire AI-native outbound stack. Lead sourcing from any data platform. An 8-stage enrichment pipeline that processes thousands of leads per hour. Email infrastructure with domain-level health monitoring - any inbox below 98% gets auto-pulled from campaigns. One person running what used to take a team of 5.

Tools: Anthropic, Supabase, Firecrawl, Serper, OpenRouter, Cal.com, Inc. 

AE - Old Way vs New Way

Old: AEs prospected their own deals. Split between selling and sourcing. Calendar half-empty because pipeline was inconsistent.

New: AEs take qualified meetings and close. That's the job. No prospecting. No list building. No manual research. Full calendar. Pure selling - which is what you hired them for.

Tools: Grain, Loom, Cal.com, Inc., LinkedIn 

Three roles. That's the entire sales team.

AI handles everything in between. It finds buyers. Scores them against your ICP. Finds and verifies emails. Sends personalized outreach across hundreds of pre-warmed inboxes. Monitors health. Optimizes in real time.

Tools: Apify, Findymail, MillionVerifier, EmailBison, Zapmail.ai, ScaledMail 

We spent $93K+ testing GTM tools to build this system. Most didn't move the needle.

Result: 60 qualified meetings booked last month for our agency. On autopilot.

In the past 4 months, we've booked 240+ meetings using this exact structure. Want us to set it up for your team?

Book a call: https://lnkd.in/e_9KDspw

The best GTM teams in 2026 don't have 15 people.

They have 4.

36% of B2B companies cut SDR headcount last year. The teams that grew fastest didn't backfill those seats. They automated them.

Here's what the AI-native GTM team actually looks like:

GTM Engineer (1 person):
The architect. Builds the entire top-of-funnel system.
ICP modeling, waterfall enrichment, signal tracking, lead scoring, automated outreach, TAM mapping.
Tools: Clay, HubSpot, Findymail, Apollo, HeyReach, Instantly.

RevOps (1 person):
The operator. Keeps the machine running clean.
CRM administration, data pipelines, revenue forecasting, inbound routing, attribution, tech stack governance.
Tools: HubSpot, Salesforce, Slack, Zapier, Attio, Gong.

AI Agents (20+ running 24/7):
The workforce that replaced your SDR bench.
Prospecting, initial qualification, email sequencing, follow-ups, data enrichment, reply classification.
Tools: Instantly, Smartlead, Clay, Apollo, Apify, HeyReach.

AEs (2 people):
The closers. They only touch pre-qualified, pre-enriched deals.
Product demos, discovery, business case building, closing, multi-threading, negotiation.
Tools: HubSpot, SalesNav, Salesforce, Cal.com, Gong, Slack.

One GTM engineer sets up workflows that 10 reps used to run manually.

The shift isn't AI vs humans.

It's humans building systems that scale without adding headcount.

---

We build AI-native outbound systems that book meetings on autopilot.

Want us to show you how it works? https://lnkd.in/eW9JcmU6

Stop blasting the same email to thousands of people. You can figure out who ACTUALLY wants to buy from you with signals. These are the best buying signals in 2026:

1) First-Party Intent Signals (owned behavior)

- RB2B: identifies anonymous B2B website visitors
- Intercom: captures chat, product, and support behavior
- HubSpot: tracks lifecycle and engagement events
- Salesforce: logs opportunity-stage and account activity signals
- Pipedrive: surfaces deal movement and pipeline changes
- Close: captures sales touchpoints and stage progression
- Gong: extracts buying intent from call transcripts
- Grain: tags call moments and recurring objections
- Typeform: captures high-intent form submissions
- Intuit Mailchimp: tracks email opens, clicks, and replies

2) Ecosystem / Second-Party Signals (partner + network activity)

- Common Room: unifies community and product signals
- UserGems 💎: tracks champion job changes across accounts
- Crossbeam: reveals partner account overlap
- G2: exposes category and profile intent traffic
- LinkedIn: shows role changes and engagement activity
- PartnerStack: surfaces partner-led referral activity
- Outreach: captures sequence engagement at account level
- Salesloft: tracks cadence interactions and reply signals
- lemlist: monitors multichannel outreach engagement signals

3) Third-Party Intent Providers (external intent data)

- 6sense: account-level intent and predictive scoring
- Demandbase: intent, firmographic, and account signals
- Bombora: publisher-network topic surge intent
- ZoomInfo: intent topics plus company intelligence
- Apollo: buyer activity signals with enrichment context
- Clay: aggregates and enriches multi-source intent signals
- Similarweb: traffic and channel change signals
- BuiltWith: technology-stack change detection

4) Channel + Market Trigger Signals (public + engagement timing)

- Apify: custom scraping for trigger events
- Firecrawl: structured website change extraction
- Serper: search-based trigger monitoring at scale
- Google: news, search, and mention alerts
- Crunchbase: funding and company milestone alerts
- Owler - A Meltwater Offering: company news and competitor alerts
- Instantly.ai: website visitor and campaign engagement triggers
- HeyReach.io: LinkedIn multichannel engagement signals

Signal scoring still follows simple rules:
- more independent signals = higher priority
- weak signal profile = deprioritize
- route outreach where intent density is highest

--

We build AI-native outbound systems that book meetings on autopilot. 

Want us to show you how it works? 

https://lnkd.in/e_9KDspw

The $3 million/year AI agent stack (12 agents):


1. Intake Agent (Apollo)
Pulls raw account and contact records, then normalizes core fields before enrichment.

2. Context Crawl Agent (Firecrawl)
Crawls live websites and returns structured context before qualification decisions.

3. ICP Qualification Agent (Clay)
Runs enrichment plus AI fit scoring so we filter low-fit accounts before spend.

4. Intent Signal Agent (Common Room)
Captures cross-channel buying signals so priority accounts move up the queue.

5. Contact Waterfall Agent (Findymail)
Runs lookup and fallback logic to recover valid contact data with less waste.

6. Verification Agent (MillionVerifier)
Verifies emails before send so bounce risk and domain damage stay low.

7. Sequence Routing Agent (HubSpot)
Routes qualified leads to owner, lifecycle stage, and campaign workflow.

8. Send Execution Agent (Smartlead)
Executes campaigns with mailbox-level controls so throughput stays stable.

9. Deliverability Guardrail Agent (EmailBison)
Only lets campaigns run when mailbox infrastructure is healthy.

10. Reply Triage Agent (Gong)
Flags buying intent from conversation data so reps respond faster.

11. CRM Sync Agent (Zapier)
Moves stage changes and outcomes between systems so nothing gets lost.

12. Feedback Agent (Supabase)
Stores outcomes and loopbacks so targeting and routing improve every cycle.

The reason we are strict on this:
When one stage is sloppy, every downstream stage gets expensive.

System quality is the multiplier.

We build AI-native outbound systems that book meetings on autopilot.

Want us to show you how it works? https://lnkd.in/e_9KDspw

5 days ago Jack Dorsey said Block is cutting 4,000+ people, taking headcount from 10,000+ to under 6,000 - just under half the company in one move.


That headline feels brutal, but it tells you exactly where work is going: repetitive tasks are getting compressed, and system-builder roles are getting more valuable.

Here are 9 future-proof jobs in 2026, what each one owns, and the tool stack behind it.

1. GTM Engineer
Owns: ICP design, lead routing, enrichment logic, and campaign launch workflows.
Tools: Clay, Apollo, HubSpot, Zapier

2. Vibe Marketer
Owns: fast hook testing, creative iteration, and demand loops that produce pipeline.
Tools: LinkedIn, OpenAI, Figma, Notion

3. Content Engineer
Owns: turning one core insight into repeatable post, visual, and repurposing systems.
Tools: OpenAI, Anthropic, Notion, Zapier

4. AI SDR Orchestrator
Owns: outbound agent sequencing, QA, follow-up logic, and meeting-flow optimization.
Tools: EmailBison, Smartlead, HeyReach (Seopital 👊), Instantly, Inc.

5. RevOps + Attribution Engineer
Owns: reporting from campaign activity to pipeline and closed-won revenue.
Tools: HubSpot, Salesforce, Supabase, Stripe

6. Signal Ops Engineer
Owns: intent capture, lead scoring, and real-time routing before competitors respond.
Tools: RB2B, Clay, Apollo, LinkedIn

7. Deliverability Engineer
Owns: sender reputation, inbox placement, and domain health.
Tools: ScaledMail, Zapmail.ai, MillionVerifier, Smartlead

8. AI Agent Engineer
Owns: internal agents that automate repetitive ops across research, QA, and execution.
Tools: OpenAI, Anthropic, Firecrawl, GitHub

9. Revenue Systems Architect
Owns: the operating model connecting humans, AI agents, and GTM tools into one system.
Tools: Supabase, Zapier, Slack, monday.com

If your team still runs manual outbound with disconnected tools, this shift is already passing you.

If you want us to map these 9 roles to your current org and show what to build first in the next 30 days, book a call:

https://lnkd.in/e_9KDspw

If I had to sign 5 B2B clients in the next 90 days, here's exactly how I would do it (this makes us 7-figures every year):


Most founders treat outbound like a single activity. Send cold emails and hope. 

But outbound is actually a system with 7 distinct stages, and the reason most pipelines leak is because teams skip straight to activation without building the infrastructure underneath it.

What I'm about to walk through is the exact stack we run every day at RevenueFlow. 

Every tool earns its spot. Every stage feeds the next. Nothing here is theoretical. 

This is what makes us 7 figures a year across our client base.

Here's the full breakdown, stage by stage:

1. Demand inputs

Typefully schedules founder content to LinkedIn on a cadence.

Apify scrapes target company sites. Firecrawl converts those pages into structured research. Serper pulls real-time search results for account context. Trigify.io exports the people engaging with relevant LinkedIn posts.

2. Distribution

Website + LinkedIn. Nothing else.

Grain records sales calls, pulls out transcripts, and surfaces the buyer questions we turn into next week's LinkedIn content.

3. Signal capture

RB2B identifies which companies hit the site by name.

The signals from Trigify.io and Apify now get exported as enrichable contact lists we can score and route into outreach.

4. Routing

OpenRouter helps score the account and prioritize which leads deserve action first.

Findymail recovers work emails. MillionVerifier scrubs the list so we do not burn sending domains.

Attio holds the account record and tracks pipeline stage.

5. Activation

EmailBison, Zapmail.ai, and ScaledMail split volume across warmed domains and rotate sending infrastructure so deliverability stays clean.

HeyReach.io automates LinkedIn connection requests and follow-ups at scale.

6. Follow-up

Slack flags replies fast. Attio keeps the full conversation history attached to the account. Customer.io keeps slower accounts in automated follow-up so they do not disappear from the pipeline.

7. Conversion

Cal.com, Inc. books the meeting and routes it to the right rep. Google Meet runs the call. Grain captures notes, objections, and next steps. Qwilr generates a branded proposal the prospect can review and sign. Attio tracks the opportunity through close.

The entire stack exists for one reason: cleaner handoffs at every stage.

We build and run AI-native outbound systems that turn founder content and intent signals into qualified meetings.

Want us to build this for your team? Book a GTM strategy call:
https://lnkd.in/grQa9hbB

The best sales teams in 2026 email people who already WANT to buy:


They don't guess. They read intent signals: evidence that a company is closer to buying right now.

A pricing page visit. A vendor comparison on G2. A new sales hire. A funding round. A past champion who just changed jobs. A sudden spike in product usage. A sales call that exposed a live problem.

One signal is a maybe. But stack a few together and you've got a reason to write the email.

That's what the Intent Signal Map breaks down. 

6 categories of signals, the tools that surface them, and how they layer together:

1. Buyer research
6sense, Bombora, G2, Demandbase, TrustRadius, Informa TechTarget, and HG Insights show which companies are researching your market, reading reviews, and comparing vendors.

2. Website visits
Warmly, RB2B, Dealfront, Albacross, Vector, Apollo.io, and Factors.ai show who came to your site and what they did there.

3. Social activity
Trigify.io, Common Room, Warmly, LinkedIn, UserGems, and Factors.ai show who engaged with your content, your team, or your brand.

4. Company changes
PredictLeads, HG Insights, Pocus, UserGems, Apollo.io, and Common Room show funding, hiring, launches, technology changes, and which accounts matter now.

5. Champion moves
UserGems, Warmly, Pocus, Common Room, Apollo.io, and LinkedIn show when someone who knows your category changes jobs or joins a new buying team.

6. Product and call signals
Pocus, PostHog, Mixpanel, Amplitude, Gong, Avoma, Attention, and Common Room show product usage, call notes, objections, and deal risk.

One signal is a maybe.

Two signals are a reason to look.

Three signals are usually enough to write the email.

The goal is not to buy 40 tools.

The goal is to stop emailing cold accounts with zero context.

That is the real difference.

We build and run AI-powered outbound systems for B2B companies.
That includes the tool stack, automation, routing, and campaign execution.

If you want help building a system like this, book a strategy call:
https://lnkd.in/grQa9hbB

20 AI agents to generate more pipeline in 2026:


1. Clay
AI GTM workspace for enrichment, intent signals, and outbound workflows.

2. Apollo
AI sales platform for prospecting, enrichment, outreach, and deal execution.

3. ZoomInfo
B2B intelligence with contact data, buyer intent, and sales AI assistance.

4. 6sense
Revenue AI platform with account scoring, predictions, and AI agents.

5. Demandbase
Pipeline AI for account selection, journeys, and GTM orchestration.

6. Bombora
Intent data that helps prioritize in-market accounts by topic surge.

7. Common Room
Customer intelligence platform for who to target, when, and why.

8. Similarweb
Digital intelligence for market sizing, competitor shifts, and channels.

9. BuiltWith
Website technology profiling for segmentation and targeted prospecting.

10. Firecrawl
Converts websites into clean structured data for AI enrichment logic.

11. Serper
Real-time Google Search API for long-tail TAM and signal expansion.

12. Findymail
B2B email and phone discovery with built-in verification workflows.

13. MillionVerifier
Email verification and list cleaning to protect sender reputation.

14. HubSpot
AI-powered Sales Hub plus CRM automation for pipeline management.

15. Outreach
AI revenue workflow platform for pipeline creation and deal acceleration.

16. Salesloft
Revenue orchestration with AI agents, engagement, and forecasting.

17. Copy.ai
GTM AI playbooks for prospect research and outbound content creation.

18. Crossbeam
Ecosystem intelligence for partner overlap and deal acceleration.

19. RB2B
Identifies anonymous website visitors for high-intent routing.

20. Supabase
Postgres backend for CRM context, enrichment memory, and agent state.

There are hundreds of GTM tools, and the stack changes every quarter.

Most teams spend months choosing tools, wiring systems, and fixing workflows before they see consistent pipeline.

If you want to skip that build phase and go straight to booked meetings, that is exactly what we do.

We build AI-native outbound systems that book meetings on autopilot.

Want us to show you how it works? https://lnkd.in/e_9KDspw

We processed 4,000-5,000 leads/hour last week. Here's what we learned about cold email at scale.

• Our email cache hit 140,699+ leads. That's a lot of prospects—but only if your verification doesn't eat your budget alive.

• Speaking of verification: we pay $0.0005 per email. Half a tenth of a cent. If you're paying more, your cost per qualified meeting is already higher than ours.

• Health threshold update: we removed every inbox below 98% warmup score from campaigns. Harsh? Maybe. But 60 qualified meetings/month on autopilot doesn't happen by accident.

• Zapmail users: 3 pre-warmed inboxes = 1.5x cold sending capacity. ScaledMail pushes further with up to 25 Outlook inboxes per domain. Volume matters, but only if your sender reputation can handle it.

• Cost per enriched lead sits at $0.003-$0.02 depending on cache hit rate. The gap between cheap and expensive? It all comes down to how many invalid emails you're paying to verify.

The founders who book a call this week? They're the ones closing the cost gap while everyone else overpays for bad data.

Optimize your email verification spend. Book a call.

Produce 4,000+ leads/hour. Seriously.

Most sales teams are stuck generating 50-100 leads per day manually. Meanwhile, the companies winning big are producing 4,000-5,000 leads per hour using automated infrastructure.

The Speed Gap is real. And it's costing you deals.

Here's how to build lead production velocity:

1. Set up parallel verification pipelines
Use Million Verifier at $0.0005 per email to validate leads in real-time. This keeps your costs predictable and your list quality high. Skip this and you're burning money on bounces.

2. Pre-warm your sending infrastructure
Deploy 3 inboxes per domain (Zapmail) or 2 Google + up to 25 Outlook (ScaledMail). Maintain a 1.5x warmup ratio to cold sending capacity. Cold inboxes get blocked. Blocked inboxes = zero leads.

3. Enrich leads before distribution
Target $0.003-$0.02 per enriched lead depending on cache hit rate. Rich data means better targeting and higher conversion. Cheap leads with no context are just noise.

4. Maintain 98% health threshold
Remove any inbox or lead scoring below 98% warmup score immediately. One bad sender reputation can collapse your entire pipeline overnight.

Expected outcome: 60+ qualified meetings booked on autopilot per month with lead production that actually scales.

Stop wasting time on slow lead generation methods while your competitors scale.

The Speed Gap isn't closing. It's widening.

Ready to accelerate your lead flow? Book a call: [Link in bio]

Client went from 52% to 98% inbox placement in 14 days.

Here's the problem: their sales team was sending hundreds of emails weekly, but most were landing in spam. Open rates were tanking. Reps were frustrated.

What we changed:

1. Activated our warmup system that removes any inbox below 98% health score from campaigns
2. Pre-warmed 3 inboxes per domain before deployment
3. Maintained 1.5x sending capacity to keep sender reputation strong

The results: 98% warmup score maintained across all campaigns. Emails actually landing in primary inboxes now.

What they learned: deliverability isn't optional. You can have the best message in the world, but if it doesn't reach the inbox, it doesn't matter.

Imagine if every email you sent actually reached your prospect's inbox. Book a call to see how we achieve 98% warmup scores.

Your cold outreach is failing silently. Here's what most founders don't know.

This week in cold email & deliverability:

⚡ We processed ~4,000-5,000 leads/hour using 150 workers. Industrial-scale outreach isn't optional anymore—it's the baseline for competitive teams.

📧 Our email cache hit 140,699+ verified leads. Cheap data kills campaigns. Verification at $0.0005 per email (Million Verifier) protects your domain reputation from the start.

🎯 We maintain a 98% warmup score threshold—anything below gets pulled from campaigns. This isn't conservative. It's the difference between inbox placement and the spam folder.

🤖 60 qualified meetings/month on autopilot across clients. The machinery works when infrastructure is dialed in.

🏗️ Most companies drastically underinvest in inbox infrastructure. ScaledMail supports up to 25 Outlook inboxes per domain—cold email now requires industrial thinking.

The gap between companies doing this right and everyone else is widening fast.

Ready to close your knowledge gap on effective cold outreach? Book a call to learn what's possible when infrastructure isn't an afterthought.

This one infrastructure gap is killing your cold email response rates.

Most B2B companies send from a single inbox and wonder why their carefully crafted messages never land in the primary inbox.

Here's the problem: Gmail and Outlook algorithms flag unfamiliar sending patterns immediately. When you suddenly increase volume from one inbox, you're signaling spam behavior—regardless of your list quality or copy.

The solution is simpler than you think.

**THE TACTIC: Scale your sending infrastructure before scaling your outreach.**

Here's exactly how to implement it:

1. **Set up multiple inboxes per domain**
   • Configure 2 Google Workspace inboxes AND up to 25 Outlook inboxes
   • Each inbox operates independently but shares your sending reputation

2. **Pre-warm every inbox to 98% health threshold**
   • Run natural email activity for 2-4 weeks before campaigns
   • Remove any inbox dropping below 98% warmup score immediately
   • This 1.5x warmup ratio gives you massive sending capacity headroom

3. **Distribute volume across all inboxes**
   • Rotate campaigns across your inbox network
   • Never exceed 50-75 emails per inbox per day initially
   • Scale gradually as reputation builds

4. **Monitor deliverability continuously**
   • Track spam complaints and bounce rates weekly
   • Replace underperforming inboxes before they damage domain reputation

**EXPECTED RESULTS:**

Companies implementing multi-inbox infrastructure see:
• 3-5x increase in daily sending capacity
• Primary inbox placement rates jump from ~20% to 60%+
• Reply rates increase as messages actually reach decision-makers
• Campaign ROI improves dramatically because your great copy finally gets seen

Stop wasting effort on campaigns that don't land in the inbox.

The companies acting on this now are capturing market share while competitors struggle with single-inbox limitations.

Ready to see how our pre-warmed, multi-inbox infrastructure works?

Book a call to review your current setup and discover your opportunity gap: https://lnkd.in/ecZSXdRC

Why your cold outreach isn't converting.

If your emails aren't landing in the inbox, you're likely missing a foundational element that most B2B companies overlook: sending infrastructure capacity.

Here's the uncomfortable truth: most teams run 1-2 email accounts per domain and wonder why their deliverability tanks after a few hundred sends. The real players operate differently.

The opportunity gap: proper inbox infrastructure multiplies your outreach capacity without triggering spam filters.

Here's how to fix your sending setup in 5 steps:

1. Map your sending capacity ratio
Calculate 1.5x your cold sending volume as your warmup requirement. If you want to send 1,000 cold emails/day, you need 1,500 warmup touches across your inboxes.

2. Diversify your inbox types
Use 2 Google inboxes plus up to 25 Outlook inboxes per domain. Different providers = different reputation signals = better overall deliverability.

3. Maintain a 98% warmup score threshold
Remove any inbox below 98% health from your active campaigns immediately. One compromised inbox can tank your entire domain reputation.

4. Pre-warm before campaigns
Never launch cold outreach with cold inboxes. Your infrastructure should be production-ready before you send a single outbound email.

5. Scale systematically
As you grow, add inbox capacity in proportion to your sending volume. The 1.5x ratio stays constant—only the absolute numbers change.

Expected outcome: consistent inbox placement, higher reply rates, and campaigns that actually scale beyond the 500-1,000 email bottleneck most teams hit.

Do this now while your competitors are still burning budget on single-inbox setups that guarantee deliverability problems.

Want to see exactly how our infrastructure handles 4,000-5,000 leads/hour across 150 workers? Book a call and I'll walk you through our setup.

Client went from struggling to find leads to accessing 140,699+ qualified contacts in days.

The problem was familiar to every B2B founder: their team spent hours prospecting, verifying emails, and building lists manually. Lead acquisition was slow, expensive, and inconsistent. Every day without a steady pipeline meant lost revenue.

Here's what we changed:

First, we gave them access to our Supabase cached email database of 140,699+ pre-cached leads. No more starting from scratch.

Second, we verified each contact through Million Verifier at just $0.0005 per email, keeping costs minimal while ensuring quality.

Third, we leveraged our processing speed of ~4,000-5,000 leads per hour using 150 workers, so they could act fast on fresh data.

The results? A complete transformation in their outbound capacity. They built targeted campaigns in days instead of weeks, with verified emails that actually land in inboxes. Their cost per enriched lead came in between $0.003-$0.02 depending on cache hit rate.

What they learned: The biggest bottleneck in B2B sales isn't your outreach skills. It's access to quality data at scale. Pre-cached databases eliminate the biggest time sink in lead generation.

Imagine if you had access to 140,699+ verified leads while your competitors are still building lists manually.

Book a call to explore this database and see what it could do for your pipeline.

This one change can multiply your lead production by 400x

Most sales teams are still manually sourcing leads.

While you're hunting for 10 contacts, automated systems are processing 4,000.

The Speed Gap between manual and automated lead production is massive.

Here's how to close it:

1. BUILD A LEAD CACHE
Stop starting from scratch every campaign. We maintain 140,000+ verified leads in Supabase. This means instant access to qualified prospects without daily sourcing. Your cache becomes a compounding asset.

2. AUTOMATE VERIFICATION
Manual verification is a time sink. At $0.0005 per email through Million Verifier, you can verify entire lists automatically. Set your health threshold at 98% warmup score—anything below gets removed from campaigns automatically.

3. SCALE YOUR SENDING INFRASTRUCTURE
One inbox = one bottleneck. Deploy multiple domains with pre-warmed inboxes:
• Zapmail: 3 inboxes per domain
• ScaledMail: 2 Google + up to 25 Outlook per domain

This 1.5x warmup ratio gives you massive sending capacity without triggering spam filters.

4. SET IT ON AUTOPILOT
With the right infrastructure, qualified meetings book on autopilot. Our clients see 60+ qualified meetings/month without manual intervention.

EXPECTED OUTCOME:
Reduce cost per enriched lead to $0.003-$0.02. Eliminate sourcing time. Generate 4,000-5,000 leads/hour when scaled.

The companies winning right now aren't working harder.

They're building infrastructure that compounds.

Stop wasting time on slow lead generation methods. The Speed Gap is real, and your competitors might already be on the other side.

Ready to accelerate your lead flow?

Book a call with me here: [Link in bio]

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