The GTM tech stack I'd set up for an early-stage SaaS company

Start with the CRM, then add tools

Everything in your stack either feeds the CRM or reads from it, so that's where I'd start. Before you buy anything else, agree on your lifecycle stages, your deal stages and what has to be true for a deal to move from one stage to the next. Decide which fields are required and who owns the system. If those basics aren't set, every tool you add just moves bad data around faster.

CRM and automation: HubSpot or Attio

At this stage I'd pick one of these two. Both handle full workflow automation, things like routing new leads, creating follow-up tasks, alerting a manager when a big deal changes stage, and reminding reps about renewals. That's the main reason you don't need Make or n8n on top. Every extra automation layer is one more place for something to break quietly, and one more thing someone has to maintain.

How I'd choose between them:

• HubSpot makes sense if you want marketing, sales and service in one system, with a big ecosystem of apps and a lot of people who already know how to use it. It also has calling and quoting built in, so you'll need fewer add-ons.
• Attio makes sense if you want a flexible data model you can shape around how your business actually works, and a modern product your team will enjoy using. It has a built-in call recorder on its Pro and Enterprise plans. For calling and quoting, you'll add apps from its marketplace.

Either is a good choice. The key is to pick one, set it up properly and get your team living in it.

Prospecting and data: Clay or Apollo, plus Surfe

For building lists and enriching accounts, I'd use Clay or Apollo. Apollo gives you a contact database and outreach in one place, so it's quick to get started. Clay is more powerful for research and enrichment, because it pulls from many data sources and lets you build your own workflows, but it rewards having someone who will actually build and maintain those workflows.

I also like Surfe for getting contacts from LinkedIn into your CRM without copy and paste, which keeps reps from building their own lists in spreadsheets.

Whichever you choose, pick one main data source and connect it to your CRM. Make sure enriched data lands in the right fields so your reps and your reports actually use it.

Inbound routing: Chili Piper

When someone fills out a demo form, the fastest way to lose them is to make them wait for an email to book a time. Chili Piper qualifies the lead and puts a meeting on the right rep's calendar while the buyer is still on your website. It also handles round-robin and territory rules so meetings land with the right person. Once you have real inbound demand and more than one person taking meetings, I think it's one of the best investments in the stack, because the impact on booked meetings is easy to see.

LinkedIn: keep it personal

Sales Navigator is expensive, and HubSpot or Attio will cover most of what an early team needs. It's only worth it if you need deep integration between LinkedIn and your CRM.

I'm not a fan of blasting connection requests or automating LinkedIn outreach. It can easily get your AE's account restricted, and that account is one of their most valuable selling assets. In practice, that means personal connection requests, real comments on a prospect's posts and messages written by a person.

Calling: stay in the CRM

HubSpot has a built-in dialer with call recording and logging from Sales Hub Starter, with more calling minutes on the higher plans. Attio doesn't have a native dialer, so you'd connect one from its app marketplace, such as Aircall or JustCall, and calls log back to the record. Either way, keep calling connected to your CRM so every conversation is on the record. A dedicated power or parallel dialer only makes sense once you have a team doing high-volume outbound calling.

Call recording: mostly a commodity now

Recording and transcription are a commodity at this point. Attio's call recorder joins Zoom, Google Meet and Microsoft Teams calls on its Pro and Enterprise plans, with transcripts and AI summaries. HubSpot records calls made through its dialer and has its own conversation intelligence.

I've used Gong, Avoma and others, and they're great. They do more than the CRMs, especially coaching scorecards, deal risk signals and spotting patterns across hundreds of calls. That matters when you have a sales manager coaching a growing team. Before then, I'd weigh whether you actually need it before adding another tool and another bill.

Before you record anything, check the consent rules where your buyers are. Germany and California both require everyone on the call to agree to being recorded. More on that below.

Quotes and signatures: match the deal type

HubSpot handles quotes and e-signatures natively. Attio doesn't appear to have native quoting, so you'd add a document tool like PandaDoc.

Whatever you use, set it up for the two kinds of deals you run:

• Transactional deals under $20k should be click to accept, with as little friction as possible. A clear quote, standard terms and a way to sign and pay quickly.
• Solution deals need proper contracts. A standard agreement and order form, approval rules for discounts, and the ability for the buyer's legal team to review and redline.

Legal review: use AI before you wait on outside counsel

Once you're running solution deals, legal review becomes one of the biggest reasons sales cycles drag. If every redline goes to outside counsel, you can wait a week for each round, because they only look at your deals when they get to them. AI contract review changes that. It checks the buyer's paper against your standard positions, suggests redlines and flags the clauses that genuinely need a lawyer, so most of the back and forth happens in a day instead of a week.

Harvey is the best-known tool here and it's very strong. It's built for law firms and in-house legal teams, though, and is reportedly sold with seat minimums and annual contracts, so it fits best once you have legal people in-house. If you don't yet, tools aimed at smaller teams, like Spellbook or Gavel Exec, do contract review and redlining inside Word at a much lower entry point. Either way, keep a lawyer for final sign-off on anything unusual, and use the AI so they only spend time on the parts that matter.

GDPR, Germany and California

If you sell into Europe or the US, a few rules will show up in your deals and in how you set up your stack. This isn't legal advice, so check the specifics with a lawyer, but this is what I'd plan for.

• GDPR. European buyers will ask for a data processing agreement, your list of sub-processors and where their data is stored. If personal data leaves the EU, you'll need a transfer mechanism such as Standard Contractual Clauses. Have all of this ready before your first European deal.
• Germany. On top of GDPR, Germany has its own data protection law, and buyers there tend to review vendors closely. Recording a call without everyone's consent can be a criminal offence, so get consent before you record. If your customer has a works council, it may need to agree before employees use tools that can monitor their work, like call recording, which can add weeks to a deal. German courts also review standard terms strictly, even between businesses, so a liability cap that works in a US contract may not hold up there.
• California. Recording a call requires the consent of everyone on it, so make sure your recorder announces itself or asks for consent. California's privacy law also requires certain terms in contracts with service providers that handle personal data, so expect California buyers to ask for them.

What I'd add at each stage

1. Seed, founder-led sales: your CRM and one data tool. Keep everything else in the CRM.
2. First sales hires: Chili Piper once inbound is real, plus calling, recording and quoting set up properly inside the CRM, and AI contract review once solution deals start hitting legal.
3. Series B and beyond: specialist tools like Gong or a dedicated dialer, but only when you can name the problem they solve.

What I'd suggest

The lowest-risk way to approach this is to start with your CRM, get the data model and automation right, and add tools one at a time when you hit a real limit. From there, you can review the stack every six months, check what your team actually uses, and cut the rest.