What’s everyone’s current GTM tech stack looking like in 2025?
been setting up some GTM workflows lately and holy hell, everything either needs a full-time engineer or gives you the same generic “intent” data like funding rounds and headcount growth.
like cool, another company hired people, guess I’ll totally sell them something now 🙃
most “automation” tools I’ve used are either too technical or take forever to set up. you end up spending more time building the thing than actually running campaigns.
recently started messing around with this thing called Floqer; kinda like an AI-native, no-code workflow builder for GTM data.
you literally just tell it what you want, e.g.
“find companies hiring RevOps leads in NYC and make a list of decision makers”
and it just… does it. pulls from 80+ data sources, enriches it, and even triggers CRM updates or outreach.
I saw teams like Perplexity and AngelList are using it already (that’s what convinced me), which is kinda nuts.
for anyone running GTM or RevOps setups, whats your tech stack?
i’m convinced the fastest teams now aren’t the ones with the most data, just the ones that act fastest on the right data.
(also if you wanna check what I’m talking about: https://www.producthunt.com/products/floqer-2)
Fair callout, but I'd push back a bit on "funding rounds" being inherently generic — it depends entirely on where the data comes from. Most GTM tools pull funding events from press coverage or Crunchbase-style aggregators, which is why it feels stale and useless by the time you see it — everyone's already acted on it.
The primary source is different: SEC Form D filings are public within 15 days of any US private raise, often before press even covers it. That's the gap. A funding signal from a filing you catch on day 3 is a completely different animal than the same signal everyone reads in a TechCrunch roundup three weeks later — same data type, wildly different usefulness, purely because of timing.
Not disagreeing with your broader point about generic intent data being useless without action speed — just think "funding rounds" as a category gets an unfair rap because most tools source it badly, not because the underlying signal is weak.
The "needs a full-time engineer" part is the real tax — most GTM stacks now are 5-6 tools duct-taped together (enrichment, sequencing, intent, dedupe) and the glue code is what breaks. Curious what is actually in your stack right now, and which handoff between tools eats the most of your time?
Which part of your GTM stack has been the hardest to keep consistent as usage grows? That’s usually where the hidden friction lives.
Congratulations