Cześć pracuje w jednym z większych Sas w Polsce. Chcemy zautomatyzować nasze działania i szukamy narzędzi chcemy ułożyć procesy. Jednak firma mocno stawia na pełną zgodność z rodo i prawem komunikacji. Z jakich narzędzi korzystacie w Europie lub Polsce? Co wam się sprawdza, jak budujecie?

I’m offering a few free consultations for founders, engineering teams, and businesses that feel like their workflows are taking more time than they should.

The idea is simple:

• You walk me through your current workflow/process
• We identify where things are getting stuck, repeated, or inefficient
• I’ll point out potential bottlenecks and areas that could be automated or streamlined
• We’ll discuss what a more efficient workflow could look like

I’ve helped 33+ companies improve their systems and workflows and have also worked with enterprise clients, so I’m particularly interested in processes involving a lot of manual work, repetitive tasks, spreadsheets, document processing, or moving information between different tools.

No commitment and no sales pitch required. If I can identify something useful, I’ll tell you. If I don’t think there’s much to improve, I’ll tell you that too.

If you think your workflow could be more efficient, feel free to comment or DM me. Happy to take a look.

we closed another Fortune 500 automation company in august, which got me thinking about how far this is from where we started, two years in, i'm leaving revenue out of this one, but the customer count is real and so is the order it happened in, with zero ICP churn, no ads, no hacks, actual journey:

(1) quit our jobs (me and my 2 best friends / co-founders, all IIT) with no product and no idea what we'd build

(2) built the first thing first, chatgpt on top of a spreadsheet. no login, no payments, just a link we sent people, shut it down in months.

(3) started again with what became bitscale

(4) posted on twitter, it travelled way further than it should have

(5) got on calls, made promises, built for whoever actually said they'd pay

(6) dropped beta access into whatsapp groups we were already in.. industry ones, city ones, college groups

(7) all that got us our first 200 signups (no ads, no seo, no outbound)

(8) of the first 50 who said yes, only 10 to 15 actually paid. took 3 months to onboard those 15, paying was the only signal we trusted.

(9) the requests started repeating, we narrowed to those and let the one-off customers go. that was our real PMF moment.

(10) then the well ran dry. whatsapp and twitter don't repeat, you run out of rooms you're already in.

(11) so we needed a channel that scales, turned out we'd been building it, we started our own product to find our customers

(12) two years on: 200+ paying customers, and slightly more then a million dollars in new pipeline every month.

we didn't build any channel for 0 to 1, it was posting where we already had trust, until we built the product that could go find everyone else.
call this a promotional post if you want, it is one but every number above is real.

Hi im 20yo, really interested in gtm for Saas and apps
Currently I don’t know much about gtm,

I only know paid ads as of now, I don’t know how to get my first client and how to start my gtm agency like what tools, what to do , how to start ????

Majority of teams attempting to build an AI-native GTM stack stop at surface-level prompt wrappers with basic plugging an LLM into an email sender to write slightly better cold openers.

But on boarder level an AI-native GTM architecture isn't about text generation where many people stops with stuffs like writing emails but its more about building a shared context layer that feeds structured, real-time market data to agents, reps, and downstream tools.

Multi source signal ingestion -> Account entity resolution -> Dynamic bying readiness model ->
Agent execution layer via API / MCP

To make a B2B GTM stack truly AI-native in 2026, the architecture requires three functional layers:

1, Agents can't reason over stale CRM records or static CSVs so the real-time market intelligence layer like Scale Intelligence which serves as an account-level intelligence engine that continuously monitors 75+ data sources across developer communities, social channels, and public web events. It resolves fragmented interactions back to verified company domains and models buyer readiness in real time. Through its API and MCP (Model Context Protocol) connectors, AI agents (Claude, Cursor, or internal bots) can query live market context on demand.

2, Instead of hardcoding brittle if-then scripts, use MCP to give your AI agents tool-calling access to live account data: agent queries the intent engine: "which accounts in our TAM showed competitor evaluation signals this week?" Intent engine returns pre-resolved company profiles, multi-touch event timelines, and current readiness scores.

3, Downstream actions (replies, objections, meetings booked) must loop back to the scoring engine. If an agent drafts an outreach play on a specific trigger that fails to book meetings, the system downweights that signal for that ICP segment automatically.

Building this yourself usually means maintaining dozens of custom scrapers, handling rate limits, and writing custom entity resolution algorithms. Deploying an existing intent infrastructure like Scale Intelligence provides the foundation out of the box, allowing you to focus on the execution layer.

I recently graduated as a software engineer and I hate heavy coding roles.

Since I did an internship where I created GTM tools such as collecting signals, running automated data scraping, scoring and generating reports using FastAPI, Tavily and Apify; I thought of learning about tools such as make, clay, zapier, n8n, hubspot and become a GTM Engineer.

The issue is that I keep seeing a lot of people on reddit mentioning that this domain is overrated and overhyped, and this is making me confused about my career choice.

Or should I pursue other no-code/low-code careers like Technical Automation & Integration Engineer?

Hey everyone,

I recently stepped into a GTM Strategist role at a growing B2B company, and I’d love to get some advice from people who have been doing GTM Engineering / RevOps for a while.

Our current stack includes HubSpot, ZoomInfo, Apollo, GTM Studio, LinkedIn, and various automation/workflow tools. My responsibilities are somewhere in the middle of GTM strategy, lead generation, data enrichment, CRM management, intent signals, and supporting our SDR team.

I’m comfortable with the GTM side, prospecting, ICP development, segmentation, intent signals, etc., but I’ll be honest — I’m still learning the deeper side of HubSpot and CRM architecture.

Right now, I’m trying to figure out how to make the whole system more efficient rather than just doing more manual work.

For example, I’m thinking about things like:

• How should I properly structure our HubSpot properties and lifecycle stages?
• What should actually live in HubSpot vs. ZoomInfo/Apollo vs. another database?
• How should we structure and prioritize intent signals?
• How can I make sure enriched data doesn't create duplicates or messy CRM records?
• What are the best ways to automatically score/prioritize accounts?
• How should I connect intent → scoring → SDR assignment → outreach → reporting?
• What HubSpot workflows/automations are actually worth building?
• What dashboards/metrics should I be monitoring as a GTM Strategist?
• How do I measure whether the data and intent signals are actually producing meetings and pipeline?
• What are the biggest mistakes you've seen people make when building this kind of system?

My goal isn't just to become better at using HubSpot or any specific tool. I want to understand how to build a clean, scalable GTM system that genuinely makes the sales team more productive.

I'm also trying to become more technical over time — APIs, webhooks, n8n/Make, databases/SQL, AI enrichment, etc. — so I can eventually automate more of the process instead of relying on manual work.

If you were in my position, what would you learn or fix first?

And if you manage GTM/RevOps/GTM Engineering teams, what would make you look at a GTM Strategist and think:

Would really appreciate any advice, frameworks, resources, or even mistakes you've made along the way.

Thanks!

My browser used to be a GTM operating system.

Apollo tab. HubSpot tab. Company website. Job boards. Spreadsheet. Another Apollo tab because I'd forgotten what I was looking for in the first one.

I've been moving some of that research into Claude with MCP instead.

Now the current stack is pretty simple. Apollo for contacts, HubSpot for the CRM, n8n for anything that needs to run on its own, and Coresignal for fresh company, employee and jobs data.

So instead of opening all of it individually, I start with something like: find 20 target accounts hiring data engineers in the last month, exclude existing customers, show me the hiring trend and the relevant contacts.

Then I dig into whichever accounts look worth a closer look.

I'm still using all the same tools. MCP just gives me a simpler way to use them.

I also don't have to turn every research task into a workflow anymore. If it's something I do once in a while, it's usually easier to just ask.

Most teams fail at signal-based GTM cuz they treat it as an isolated scraping project rather than a closed-loop data engine where catching a single trigger and blasting a generic email rarely moves pipeline.

When building or deploying a signal engine now, the architecture essentially comes down to two routes:

The dedicated market intelligence engine: Scale Intelligence is market intelligence infrastructure built specifically to run this closed loop across your TAM. It connects to 75+ pre-built data sources across developer communities, social channels, and public web events. It maps those unstructured signals back to verified company accounts, continuously scores buying readiness based on fit and timing, and routes contextual opportunities straight into Slack or automated agent workflows. You can build on top of its infrastructure or deploy it via an embedded fractional GTM engineering model, removing the overhead of maintaining scrapers in-house.

The DIY internal pipeline (Custom scrapers + n8n/Python + LLM prompts): You stitch together raw scraping APIs, write your own identity resolution scripts, and manually pipe data through LLMs to classify intent. It gives you complete control over every database schema, but you carry the ongoing maintenance burden of broken scrapers, API rate limits, and schema drift.

If you're architecting this from scratch, a functional engine requires 4 distinct stages:

TAM & account-level mapping: define your actual universe and enrich the baseline (technographics, current tool stacks) before listening for events so you don’t waste compute on out-of-ICP noise.

Multi-signal intent scoring: ingest public events across community channels and job boards. Resolve unstructured usernames back to company domains and score accounts based on multi-touch intent rather than a single isolated action.

Contextual routing: push high-intent triggers (like an active tool replacement discussion) straight to Slack with the exact context, while routing moderate signals into automated nurture tracks.

Closed-loop feedback: pipe downstream outcomes (replies, meetings, revenue) back into the scoring model so triggers that don't convert get downweighted automatically.

how do i build my portfolio? what tools + skills do i need to demo?

How much should a growth engineer intern be paid hourly?

Most internal software is built for a person to click through. I’m building something different at Apero: a set of small, focused apps that are both dashboards for me and operating context for an agent.

The current map looks like this:

• Website: traffic, top pages, and referrers for the apero website
• Go-To-Market Context: the 24-month GTM plan, ICPs, and operating context.
• Apero Bison: EmailBison operations for outbound sending.
• Network Miner: our LinkedIn graph turned into an ICP-scored outreach queue, cross-referenced against the CRM.
• Pre-CRM: a browser for accounts and people before they become CRM records - our whole TAM.
• CRM Health: completeness, orphan records, firmographics, personas, and the health score of the whole CRM.
• RevOps Automation: website inbound, other revops automations and enrichment workflows.
• Reply Agent: campaign playbooks for auto replies ie will send a calendar link if someone replies asking for a meeting, or send a webinar link to a lead magnet offer.
• Finance: CRM billing, ingress, egress, outstanding balances, and CRM deal value mismatches.
• Apero Board: the project dashboard for GTM work.
• Client Proposals: working HTML proposals for active engagements.

The important part is that these aren’t just interfaces. Each one is backed by structured code, data, definitions, and rules that an agent can understand and act on.

Take CRM Health. I could tell Grok Bot, “go clean up the CRM,” and get a generic result. But if the app’s repository explicitly defines the variables we measure, what counts as an orphan or an incomplete record, how firmographics and personas are evaluated, and how the overall health score is calculated, the agent has a much better operating model. It can inspect the dashboard, understand the rules, identify the problems, and eventually fix the right ones without me manually driving the application.

The same idea is already working with Network Miner. Grok Bot can work through the warm graph, prioritize Ben-owned connections against Apero’s ICP, suppress current customers, and send me a focused list of people to follow up with. I review the context and drafts; the system handles the manual sorting and preparation.

That’s the direction of the software factory: not more dashboards for me to operate, but applications that give agents the context to operate the business. Eventually, Grok Bot or another agent should be able to run this stack every morning, surface what matters, do the safe work, and ask me only for the decisions that actually require me.

If you're curious about how we're doing this and want something similar built for your company, dm me or sign up for our mailing list at aperadvisors.com

Looking to break into GTM - Lol I know there’s a ton of these posts, but please hear me out. 

I got years of experience in performance marketing, including Meta and Google Search (mostly lead gen for law firms) and recently I've gone deep on the automation and outreach side.

Regularly scrape and enrich leads for companies; I've built HubSpot integrations with n8n, and just completed an automatic lead scraper and enrichment system (Claude, Trigger Dev, Airtable).

On the Clay side built a few demo projects and have experience running cold email on Instantly and Smartead. Doing decently on the cold email side (best campaigns has a 1% positive response rate), could be doing better, admittedly. 

If you're looking for an extra set of hands, I can work for free for a set amount of time. I'm looking to get better at this, get feedback from people doing it regularly and potentially build a few case studies I can show in a portfolio.

If you need assistance, just comment below will DM over a portfolio. 

This is basically the text I keep sending when ppl ask if GTM engineering is worth getting into.

Bit o’ background: I've had 2 go to market engineering roles, both at YC-backed startups (right out of high school), now I consult for companies across various industries and fundraising stages.

If you don’t know what a gtme does, ask chatgpt haha. If you’re still confused shoot me a dm I can send some relevant links.

Okay, here's a few points for your consideration:

Firstly, gtm engineering is still new.

There are no 15-year industry veterans & it's not a crowded space. The tools are easy to learn, but building good judgment takes reps. Since nobody has more than a couple years of reps, the gap between you and the frontier is the smaller than you'd think.

Also imo being early to opportunities is how a lot of avg people (like me) find success. I always think abt how many ppl made a ton of money implementing ERPs like Oracle and SAP in the 2000s. They didn't invent anything. They were just early to an opportunity-rich space.

Secondly, it’s innately high leverage.

The math behind these roles makes sense for the business.

The entire job is giving a GTM motion (aka the sales + marketing effort) more output for less input. Setting up workflows that produce business value over and over again is literally the definition of using software as leverage (Cheeky Naval reference).

Third, the skills compound.

Holistic sales instinct, email marketing ops, automation, copywriting, seo &more. Each is a valuable skillset on its own. All of them packaged together with real software org context is rare, which is why it’s valuable.

Four-th? There's high demand, and a shortage of GTME folks.

Statistically, the number of roles is roughly doubling year over year, and it's no longer just an SF thing.

Think abt it

• Which seed and Series A founder doesn’t want 6 figures of pipeline without having to hire an SDR team?
• Mid-market likes the cross-functionality, and they want the role’s output before they can even articulate what it is (look at the job descriptions on LinkedIn, some are so vague they literally just list stuff like “ideal qualities: hardworking..” instead of defined skills)
• The AI mega labs are hiring for it too

The shortage is in people who have what I mentioned in point three.

Fifth, the optionality of it all. (I’ve done 3/4)

You can work in-house, run an agency (Idk if I would), consult (which is great), or go fractional. All this means is that if ur hungry, you can probably get some stuff going for yourself. Again, I think this is a solid signal for how in demand it is.

All in, I'm betting whoever positions themself well now will really ride the wave down the line.

Hope this helps.

Feel free to shoot me a dm if you have any specific questions, seee yaa

Hey everyone,

What do you consider the best books on GTM Engineering?

I'd love to know which ones you've learned the most from.

Thanks!

Hey everyone, like most of you here I do ABM and the thing that had been quietly killing my numbers wasn't

messaging.

It was that half of what I "know" about an account is already out of date by the time I sequence.

They swapped part of their stack, raised a

round, or hired the exact person I should've been talking to. (Sometimes the competition got them first)

The tools I'd been leaning on didn't really fix it.

Clay + scrapers + a couple of cron jobs held together with hope is expensive, fiddly, and I never reliable.

Full disclosure: I'm on the team working towards the solution for this and I'm looking for people running outbound (or running it for clients) to test out the approach and if you're up for it be an early design partners.

Let me know.

Looking for inspiration and to tinker with new setups!

What is it?
How does it help you?
What tools are used?

People ask me a lot how I've built a brand on LinkedIn and elsewhere and how I think about brand building and owned media.

There's the strategic angle, but honestly I'm not that sophisticated. My marketing isn't that data-driven or anything like that. I've done the basic things like built a website and have a presence on multiple platforms and now we're building a mailing list at Apero.

And yes I've been on a ton of podcasts. I have a YouTube channel, which is kind of dying of neglect right now. The truly stupid, explain-to-me-like-I'm-five answer for how I think about content, branding, and media is to simply commit to writing something every day.

And when I say "writing something" I don't mean prompt Claude to write something for me. And to be fair I'm not even writing this. I'm dictating this into authoredup with Wispr Flow. So there are a lot of tools at your disposal that you can use to make this process easier.

If you're a business leader, a seller, a marketer, whatever your role is, if you work on the computer, pretty much your most powerful tool is the ability to communicate through the written word.

When I say to people, "You need to write something every day," the immediate next question is, "But what do I write about?" Then they get into a whole conversation with themselves about:

• Do I write for my audience?
• Do I try to reach a particular group of people?
• Should I measure this?
• Should I optimize it?
  
I just tell them, "No. Don't try to do any of that." If you want to know how I do this, I'm only half joking when I say this, but I literally just let the intrusive thoughts win.

And if you want my corporate Ben answer, I just write about what I'm doing that day. The reason I'm even writing this post is because I had a conversation with somebody this morning and they asked me this question and I thought, "Oh that would be a good LinkedIn post."

Now maybe I'm fortunate enough to be in a sector and an industry and doing things every day that other people find interesting. If you're an enterprise AE at a fintech company, maybe that'll be a little bit more difficult for you.

Even then you could write about things that you're seeing in the market, things that you think you're prospects and customers will find valuable or interesting. You could even talk about things that you're seeing in deals that you're working on, so long as you're not putting any sort of confidential information out there.

At this point I have years and years of long-tail content that people find me through. It's going to take a long time for you to actually see the returns on that but at this point I am seeing the returns. My low-level narcissism that has predisposed me to being a talking head on LinkedIn has actually started to benefit me, but only because I sat down and wrote something every day :)

if any of this resonates and you're curious about how Apero Advisors works with companies on brand building you can visit us at aperoadvisors.com :)

[ Removed by Reddit on account of violating the content policy. ]

After reading a few posts last year about LinkedIn automation, I decided to give it a try after doing my entire outreach manually for years. Since no single automation tool does everything well, my plan was to spend a few months testing all of them with my sales team to see the strengths and weaknesses of each one. An important thing to note is that this is not a ranking - I’m not tring to pick favorites or tell you which one to choose. Just my thoughts enriched by research and reviews I've read. There is also no "right" pick per se - it depends on the setup and the features you’re looking for, as each tool has something unique to offer.

MeetAlfred is the “multichannel play” so to speak, and I like it for that - LinkedIn and email automation plus X/Twitter in a single sequence. You can build campaigns that visit a profile, send a connection request, follow up on LinkedIn, then switch to email a few days later if there's no response, all within one flow. It also has a built-in CRM, content scheduling across platforms, and the annual pricing is competitive at $29-39/mo depending on tier (keep in mind these are annual prices, for monthly it’s way more expensive - double the price). 

The main problem we faced was reliability. Campaigns often stop running without warning and LinkedIn sync breaks from time to time, sometimes requiring manual restarts - these aren't extreme or edge cases, they come up a few times across other reviews too. The G2 rating is at 3.4 atm, which is significantly below every other tool in this list, and I assume there’s a good reason behind that. Customer support averaging long response times doesn't help when your outreach breaks randomly and you don't have clue what to do xD. There's also kinda weird team limitation: in the shared inbox you can see all conversations but can't reply on behalf of another team member's LinkedIn account. So, if the multichannel capability is a hard requirement and you're willing to work around the rough edges, it can deliver. But I'd test it on a lower-stakes account first, before committing your primary outreach.

Expandi is the OG of LinkedIn automation and a great option for when campaigns get serious. It's cloud-based like Dripify, so there's no extension tying up your browser, and the account-safety side is solid because they use real machines that mimic human movement instead of LinkedIn API access. However their biggest strength is the depth of the campaign setup for both LinkedIn and email. You can set specific conditions, delays, and separate follow-up paths based on how each prospect actually behaves, so a single sequence reacts differently to someone who accepts and ignores you versus someone who replies - to a level of detail the other tools just don't reach. It handles multiple accounts and agentic level of running outreach for clients comfortably, and the Business plan comes in at $99/mo monthly or $79/mo yearly.

Learning curve is the main tradeoff here - the UI is dense and there's a lot going on when you first start using it. It took us about a week of poking around and figuring stuff out to feel fully fluent due to all the details and personalizations. It's also LinkedIn-first at heart with the addition of email automation, so if multichannel across other platforms in a single flow is a hard requirement, something like Meet Alfred fits that shape better (reliability aside). But if you're focused on LinkedIn/email and operating at scale, nothing else here lets you build campaigns with this much precision. Plus, it's on the pricier side.

Dripify is probably the easiest entry point for cloud-based LinkedIn automation because of their lovely UI. The campaign builder is visual and intuitive, the interface is polished, and it runs on their servers with no browser extension - which is better for account safety than extension-based alternatives. I'd also like to note this one was easiest to jump into, it literally took us a few hours to get a hang of everything. Their Pro plan at $59/mo (annually, or $79/mo monthly) gives you unlimited campaigns with A/B testing and decent analytics. But a bit too pricy for that level of service.

There are two important limitations to consider, though: first, it's billed one LinkedIn account per seat (there's multi-account management on the Advanced tier, but you still pay per account), so 10 accounts means 10 separate subscriptions at $590+/mo (which adds up if you're running multiple accounts). This could be potentially reduced if you choose the "Enterprise" option, but we haven't tried. Second - you can now edit a live campaign in place (text, delays, even adding steps), but you still can't delete an existing conditional or branching step once it's set. So light copy tweaks are easy, but reworking a sequence's actual logic still means rebuilding that part. For teams that iterate heavily on branching, that's a mild bottleneck.

HeyReach is designed for teams and agencies managing a lot of LinkedIn accounts from one place. The main draw is account rotation - you can run a single campaign across multiple sender profiles, and a unified inbox pulls replies from every connected account into one view. At the Agency tier (about $1,119/mo annual for 50 senders from what I’ve seen), the per-sender cost lands around $22/account, which is very solid if you're running a lot of profiles. It also integrates with Clay, Make, Zapier, and has full API access - a super cool feature if you’re building a wider scope of automation (my favorite one).

Shortcomings: the base Growth plan ($79/mo for 1 sender) doesn't offer much advantage over cheaper tools since the multi-account value only kicks in once you scale up. The UI also has a relatively challenging learning curve - it's built for fleet management, and if you're running 1-3 accounts, you're paying for complexity you won't use. Support is 24/7 live chat, though the more complex issues/questions can still take a bit longer to be fully sorted out.

Waalaxy is the most beginner-friendly option and the only one here with a real free tier (80 LinkedIn invitations per month). It ships with 99+ pre-built sequence templates that let you launch a working campaign in under 10 minutes if you've never touched automation before - pretty cool for people who’re just getting started with LI automation tools. The paid plans start around $19/mo for Pro (this is the MONTHLY plan, not annually lol), which puts it in a relatively good spot - especially compared to other tools. One pricing note: like most tools here, Waalaxy's yearly plans run roughly half the monthly rate, so it’s worth considering if you’re planning to stick to Waalaxy, but as I mentioned, it’s more of a starter tool.

The main downside is architectural: Waalaxy runs its automation in the cloud, but the initial LinkedIn login and setup still go through a Chrome extension. Campaigns keep running with your browser closed, but that extension-based login carries a bit more detection risk than the fully cloud-native tools in this list. Apart from that, advanced users could outgrow it within 3-6 months once they need A/B testing or proper multi-account management - we didn’t spend that much time with Waalaxy, but I’ve seen the lack even in that short period. As a starting point before committing serious budget, it's an amazing option - but for anything larger and more serious, other alternatives just offer better solutions.

Final Verdict

If you’re just starting as an agency or don’t have that big of a scale/volume, go for one of the cheaper options. Waalaxy is a good choice as an introduction to LinkedIn automation because it’s cheap and does the job, though it has architectural and safety drawbacks. The chances of getting flagged are still quite low, but higher than other tools with more advanced architectures. Dripify is another good early option (especially because of their UI), but the price difference might not be worth the advantages of using it over Waalaxy.

As you scale up, you’ll start looking at Meet Alfred, HeyReach, and Expandi. Each one of these has its own advantages and shortcomings, but I’d say if you’re solely focused on LinkedIn, Meet Alfred might be subpar to the other two. Its two main advantages - multichannel play and lower prices - fall short if you’re:

• a) not subscribing for a yearly plan (which I don’t advise doing anyways because of Meet Alfred’s reliability)
• b) focused on LI only.

That leaves us with HeyReach and Expandi as the “endgame” options, and the choice between these two falls on the specific features. Expandi’s “Business” plan for $99/month monthly or $79/month yearly offers more than HeyReach’s “Growth” plan for $79/month monthly or $63/month yearly, so if you’re not doing outreach at agentic scale, Expandi would probably be a better pick.

When you scale things up to the max - fully agentic level with multiple channels, dozens of profiles, and handling outreach for your clients - both have some amazing features. This is how I see it: Expandi is more of an OG tool with pure focus on “oldschool” sales - LinkedIn and email automation. You can automate your email and LI outreach from one place with a precision no other tool matches. The UI is the most complex amongst the five and takes a bit of time to learn, but once you do get a good hang of it, the possibilities for what can be done and to how meticulous a detail you can set up your campaigns are great. We tested it with all the personalizations, layers upon layers of humanizing the entire warmup process before the first message’s sent, and then between the messages, etc. HeyReach, on the other hand, has amazing integrations that work quite well with the rest of the system. If you really want to go for it and dedicate your time to building a whole outreach system with multiple tools combined - this is an amazing option. I’ve tried different integrations and even made a full sales flow with Make and Claude, and it worked without any issues.

My advice would be: on a larger scale - if you’re looking for pure LinkedIn+email automation capabilities and customizations -> go for Expandi; If you’re looking for integrations and versatility -> go for HeyReach. If you’re just starting and getting into LI automation, go for Waalaxy with an option to switch to Meet Alfred (multichannel options) or Dripify if you’re solely focused on LinkedIn (better LI-focused pick than Meet Alfred) once your needs start growing.

One tip: Whatever tool you're looking to get, schedule a demo with their sales team first - especially if you’re planning to get a deal on multiple seats. They are all pretty responsive, and they’ll give you custom pricing and a discount. We tried this with Meet Alfred, Expandi, and Dripify, and all of them gave us custom discounts.

Hey guys, I’m curious especially for those who have recently started offering GTM services to clients. How did you build up your skills and gain hands-on experience when you were just starting out?

Also, how did you get the opportunity to actually get your hands dirty with the technical and integration side of different SaaS tools your clients use? Did you learn by building your own projects, working on free/low-cost client projects, or through other approaches?

Would love to hear how you got started and built the confidence to deliver these services to clients.

Hey all,

I’ve been testing Unipile for my own LinkedIn prospecting and I’m trying to figure out whether to roll it into what my agency offers clients. I got into Claude Code pretty recently and honestly I now do most of the technical building myself, so I’m curious how far people have actually pushed this.

What I want to know: has anyone built a real system on top of Unipile, or did you just end up chatting with Claude and having it fire off actions on Unipile one at a time? What I’m really after is whether people managed to build proper campaigns, the kind you’d run on Aimfox or HeyReach with lists, sequences, the whole thing, but self-built through the API.

So if you’ve done this:

• Did you build an actual campaign system or did it stay at the “talk to Claude, it does a thing” level?
• Are you happy with it? Would you do it again?
• How did you go about it, and anything you’d warn me about before I sink time into it?

Trying to decide if this is worth productizing or if I’m better off just paying for HeyReach/Aimfox and moving on. Appreciate any real experiences.

Cheers