I Replaced $150K in Sales Software for $3,564. Here's Exactly What I Built.

*This is Part 2 of a two-part series. Part 1 covers why enterprise sales software is a strategic liability in the AI era. This post is the how.*

I want to be specific, because "composable stack" is becoming as vague as "digital transformation."

So here it is: seven tools, $297 per month, zero enterprise contracts. I use every one of them. I'll tell you what each one does, what it replaces, and what I actually run through it.

This isn't a list of tools I recommend from a distance. It's the stack that runs my business.

The Stack at a Glance

Enterprise equivalent: $200,000 to $294,000 per year before implementation.

The tools don't work in isolation. I'll cover how they connect after walking through each one.

The Tools

1. Claude Code — $20/month

The superhuman back-office you can't afford to hire.

Claude Code is not a chatbot. It's a persistent AI environment where I've built projects that act as dedicated team members — each with context, memory, and a specific job to do.

What it replaces: A meaningful chunk of what a marketing manager, BDR, and RevOps analyst would do. Content creation, outreach personalization, workflow logic design, competitive research, sales enablement assets. The list is long.

What I actually run through it:

My entire content operation runs through a Claude Code project that knows our brand voice, ICP, campaign themes, and past content. It researches target accounts, writes first drafts, generates LinkedIn posts, and creates personalized outreach angles — all without starting from scratch on every task.

I've also built a project that acts as a deal support analyst. Feed it a call transcript and it extracts pain points, identifies MEDDIC gaps, and drafts a follow-up email in our voice. My reps don't touch a notepad.

Why it's the anchor of this stack: Everything else generates or moves data. Claude Code transforms that data into revenue-generating action. Apollo finds the prospect. Clay enriches the context. Claude Code writes the email, builds the narrative, and makes the outreach feel like it came from someone who did their homework.

At $20 per month, this is the single highest-ROI tool in the stack.

2. Apollo.io — $99/month

Your prospecting database, sequencer, and enrichment layer — in one place.

Apollo has 275 million contacts, built-in email sequencing, a dialer, and enrichment — all at a price point that makes ZoomInfo ($15,000+/year) and Outreach.io ($10,000+/year) look like a bad joke.

What it replaces: ZoomInfo for data, Outreach.io for sequencing, and Clearbit for basic enrichment. I was paying for all three separately before.

What I actually run through it:

Apollo is my source of truth for prospecting. I build targeted lists by ICP criteria — company size, revenue range, tech stack, recent hiring signals — then export those lists into Clay for deeper enrichment before anything goes out the door.

The sequencing is solid for top-of-funnel outreach. I don't use it for final send — that runs through Make after Claude Code has personalized each message. But for building the pipeline and managing initial contact, Apollo handles everything.

User data shows Apollo delivers a 30% increase in conversion rates and cuts manual research time by 60%. That tracks with my experience.

3. Clay — $99/month

The data orchestration layer that makes everything else smarter.

Clay doesn't have its own database. That's the point. It connects to 100+ data providers — including Apollo, LinkedIn, and others — and runs waterfall enrichment to fill gaps that any single source would miss.

What it replaces: Custom data pipelines that would cost $50,000+ to build, plus the hours of manual research that currently sit on your team.

What I actually run through it:

After pulling a target list from Apollo, I run every record through a Clay workflow that cross-references LinkedIn for recent activity, pulls company news for trigger events, checks funding signals, and scores each account for fit. Clay's waterfall approach takes email find rates from 40% to 78% — nearly double — compared to relying on a single provider.

The workflow I'm most proud of: Clay monitors LinkedIn for job changes at target accounts. When a new VP Sales or RevOps leader joins a company in our ICP, it automatically enriches their profile, scores the account, and populates Airtable with a personalized outreach angle. It runs 24/7 without me touching it.

That's a BDR function, automated.

4. Make.com — $10/month

The automation engine that connects everything else.

Make is what most people use Zapier for — but with more power, more flexibility, and a fraction of the cost.

What it replaces: Zapier for basic automation, and custom development work for anything more complex. I've built workflows in Make that would have cost $10,000 to $30,000 to build as custom integrations.

What I actually run through it:

Make is the connective tissue of the stack. It handles:

• Pre-sale: Lead capture from any form → Airtable entry → Clay enrichment trigger → outreach sequence start

• Content: New blog post published → Claude Code drafts LinkedIn post → scheduled for optimal send time

• Post-sale: New customer signed → onboarding workflow triggered → welcome sequence sent → team notified in Slack

I haven't manually posted on LinkedIn in months. Make handles the scheduling, and Claude Code handles the content. The whole thing runs in the background.

At $10 per month, this is the best value tool in the stack.

5. Airtable — $20/month

Your CRM, without the contract.

Airtable gives you 80% of what Salesforce does for pipeline and contact management, with none of the implementation overhead, none of the lock-in, and none of the $165-per-user price tag.

What it replaces: Salesforce for pipeline management and contact tracking. For teams that don't need enterprise-grade CRM complexity, this is the right call.

What I actually run through it:

Airtable is my single source of truth for prospects, active opportunities, customers, and content. But unlike Salesforce, I can build a content calendar in ten minutes, spin up a partnership tracker in an hour, and connect it to every other tool in this stack via API or Make workflow — without hiring a Salesforce admin.

The data flow is clean: Apollo and Clay feed prospect data in. Make keeps it updated automatically. Claude Code reads from it to generate personalized content. Nothing sits in a silo.

6. ZeroBounce — $10/month

Email deliverability insurance.

Your outreach doesn't matter if it lands in spam. ZeroBounce validates emails before they go out, protecting sender reputation.

What it replaces: NeverBounce ($50+/month), BriteVerify ($100+/month), or the far more expensive alternative — recovering a blacklisted domain.

What I actually run through it:

Every Apollo export goes through ZeroBounce before it loads into any outreach sequence. It takes minutes and costs pennies per record. My deliverability stays above 95%.

One spam complaint can damage your sending domain for weeks. ZeroBounce is the cheapest insurance in the stack.

7. AskNadiya — $39/month

Meeting intelligence that actually connects to your workflow.

Most AI notetakers transcribe your calls and stop there. AskNadiya integrates directly with Claude Code, which means your meeting insights don't sit in a separate tool — they feed into your AI workflows.

What it replaces: Gong (enterprise contract, $30,000–$50,000/year) and manual note-taking across every call.

What I actually run through it:

Every sales call gets transcribed by AskNadiya, then pushed into my Claude Code project. I built a workflow that extracts pain points, buying signals, objection patterns, and MEDDIC criteria — then generates a personalized follow-up email and updates the opportunity record in Airtable.

My reps leave calls with a draft follow-up in their inbox before they've closed their laptop.

Over time, the pattern data compounds. Running 50+ calls through this workflow starts to surface what objections come up most, which pain points correlate with closed deals, and where conversations typically stall. That's conversation intelligence — without the enterprise price tag.

How the Stack Works Together

The tools aren't seven separate decisions. They're a system with a clear data flow:

1. Find → 2. Enrich → 3. Store → 4. Automate → 5. Act

• Apollo identifies target accounts and contacts that match ICP criteria

• Clay enriches those records with trigger events, fit scores, and personalized context

• Airtable stores everything as the single source of truth

• Make automates the workflows that connect each layer — from lead capture to outreach trigger to follow-up sequence

• Claude Code transforms the data into action: personalized outreach, follow-up emails, content, battlecards, pipeline summaries

• ZeroBounce validates before anything goes out the door

• AskNadiya captures what happens in conversations and feeds it back into the loop

The output of every conversation improves the next one. The data from every enrichment makes the outreach sharper. The system gets more accurate over time, because it's built on feedback loops — not static workflows.

What This Unlocks

Time. Research from SPOTIO shows reps spend 71% of their week on non-selling tasks. This stack automates the majority of that overhead — data entry, research, note-taking, follow-up drafting. Reps do the selling. The system does everything else.

Flexibility. When a better tool exists six months from now, I swap it in. No migration project. No contract negotiation. No 18-month implementation. I've already switched enrichment providers twice as better options emerged. Each swap took less than a week.

Current AI. Every tool in this stack either runs on the latest AI models directly or connects to them via API. When Claude 5 ships, I'm using it the next day. When you're locked into a Salesforce contract with embedded AI, you're using whatever Salesforce decided to license — on their timeline, not yours.

How to Implement This in 90 Days

Don't try to build the entire stack on Day 1. Layer it in.

Days 1–30 — Foundation: Apollo + Airtable. Get your prospecting database and pipeline management running. This alone replaces your most expensive line items.

Days 31–60 — Intelligence: Add Clay and ZeroBounce. Run your first enrichment workflow. Validate your lists before any outreach goes out.

Days 61–90 — Automation: Add Make and Claude Code. Connect the layers. Automate your first workflow end to end — lead capture to personalized outreach. Run it for 30 days and measure what changed.

After 90 days: Add AskNadiya. By this point you have a system. Now you're capturing what happens in conversations and feeding it back into the loop.

The total ramp cost is under $500 for the first month. There's no implementation partner fee, no six-month onboarding, and no contract you can't exit next week.

This is what modern revenue operations looks like when you're building to win, not building to look like an enterprise.

At 1337 Sales, we build composable stacks like this one for revenue teams that are done paying for complexity they don't need. You own everything we build — the workflows, the automations, the AI projects. No black box.

If you want to see what this looks like for your team, let's talk.

FAQ

Q: Is this stack realistic for a team that isn't technical? A: Yes. None of these tools require engineering resources. Make, Clay, and Airtable are built for operators, not developers. The learning curve on Make is the steepest — plan a week to get comfortable. Everything else is usable within hours.

Q: What's the minimum team size this makes sense for? A: I've seen this work for solo founders and teams of 50. The ROI calculus is actually strongest for smaller teams, where enterprise licensing costs are hardest to justify and the productivity gains per person matter most.

Q: Can this handle compliance requirements for regulated industries? A: Apollo, Clay, and Airtable are all SOC 2 compliant. For highly regulated industries — financial services, healthcare — you'll want to validate specific data handling requirements against each vendor's documentation before committing. The architecture is sound; the details depend on your compliance framework.

Q: What happens when I need to scale beyond this stack? A: You add tools selectively. The composable architecture means you're not ripping anything out — you're extending it. Need more sophisticated CRM functionality? Layer HubSpot on top of Airtable and migrate the data. Need enterprise-grade call intelligence? Swap AskNadiya for Gong when the volume justifies it. You're never locked in.