Launched this week
Elentaria
Your GTM: from diagnosis to execution
1.5K followers
Your GTM: from diagnosis to execution
1.5K followers
Elentaria is the AI operator for B2B: it analyzes your business, scores 22 channels, ships the plan that fits, and learns what moved revenue so it can make the next week sharper. Every week, on your stack, in your voice.
ZeroHuman.
Hey, congrats, @ayda_golahmadi !
I have a couple of questions:
Would it be possible to make sign-up available with just an email address (including personal emails), without requiring it to match a company domain? For example, I run several products/websites, and it would be much more convenient if I could either sign up with Google or simply enter an email address and get started.
Also, how exactly do you gather information about the channels? I'm curious about how reliable the data is for the different channels and what sources you're using to measure and verify it.
Elentaria
Love that it scores channels by what actually moved revenue. Where does it draw the line, does it look only at getting users in, or also at what happens after they land (activation, trial-to-paid)?
Curious how you split 'GTM' vs 'product' when you attribute revenue."
Elentaria
@and_bayleaf Our current focus is more on B2B high ticket businesses, potentially $10K+ ACV, or even best could be to $20K+ ACV, but we'll soon put more focus on PLG motions and low ticket products, maybe even eventually reaching B2C.
In the current focus area, we get to the point that meetings are booked, or conversions happen, and then human operators take over, to attend the calls and convert them into actual sales.
How does the system adapt when a channel that initially looked promising stops performing after a few weeks?
Elentaria
@new_user___1342026562312f405b6ec1f The data is captured and considered for the next week's plan.
You also mentioned that it helps find the leads. Any leads like influencers ?
Elentaria
@sabber_ahamed Yes, lead sourcing is also one of the aspects we cover. Of course, if they have a signal, like number of followers, title or anything else that shows they are an influencer, we can find them.
For outbound specifically, how does it keep deliverability healthy while scaling sends?
Elentaria
@faizyabhussain07 For LinkedIn outbound we have our own internal sequencing engine, which is built based on industry standards, to keep rates balanced. For email, we integrate with most common engines, like Smartlead, Instantly, etc.
We’re a small team building a very specialized product in a category that doesn’t have much precedent. That makes go-to-market especially hard: there isn’t an obvious playbook, and hiring a large business development team isn’t realistic for us right now.
We’ve been using early versions of Elentaria for several months, and it has already changed how we think about growth.
What stands out is that Elentaria is not just another cold email or LinkedIn outreach tool. It helps us think through the whole go-to-market motion: who we should be talking to, where the best opportunities may be, and which channels might matter beyond the obvious ones.
It has surfaced opportunities for us that we likely would not have found on our own.
Most importantly, Elentaria gives us a way to scale outreach without losing authenticity. That matters a lot to us. We don’t want to sound like another bland automated message landing in someone’s inbox or LinkedIn DMs. We want our outreach to feel relevant, thoughtful, and human.
Elentaria feels like the kind of tool that could make a large dedicated business development function far less necessary - without trading authenticity for scale.
Elentaria
@matthew_amsden1 Thanks and super excited to continue the collaboration!
GTM tools usually fail at the handoff between diagnosis and judgment. I like the sign-off default, but I’d want every recommended action to show the evidence and assumption behind it: which source said the segment is worth pursuing, what made a channel “fit”, and what would change the recommendation next week.
Without that, execution can look senior while still being a black box. With it, the user can actually get better at GTM instead of just approving tasks.
Elentaria
@jim_jeffers Very good point, and the good point is that the AI is always sitting on the side, ready to answer questions, so the operator/user can ask as many questions as he/she likes to get into every detail of every decision and analysis.
@khashayar_mansourizadeh1 That helps. One product thought: I’d make the “ask why” affordance visible right where a recommendation appears, but also have the system proactively flag weak assumptions before the user asks. For GTM, the riskiest parts are often the quiet premises: ICP confidence, channel fit, sales cycle guess, or whether the proof is strong enough for the audience.
Elentaria
@jim_jeffers True, thanks for the tip.