Alignment between sales and marketing often fails at the handoff.
Both teams can leave a planning meeting with the same slide deck and still operate from different pictures of the customer by Friday. Marketing builds campaigns around one set of signals while sales works from another. The gap is rarely about motivation it's usually the absence of a shared workspace where the reasoning stays visible to everyone.
When context lives in separate tools, small differences compound into conflicting outreach and mixed messaging. I've been testing whether keeping strategy, targeting, and execution in one connected view reduces that drift over time. The early signal is that shared visibility matters more than perfect process documents.
What has actually helped you keep both teams working from the same understanding?
Hey Product Hunt! 🙋🏻♂️
My name is Dmytro Antoniuk, and I'm the Chief AI Officer at Pebbles Ai. I’m incredibly excited to introduce Pebbles Ai to the community today.
What are we solving?
Getting your first customers is the hardest part. You instantly get pulled in many different directions: market research, finding target leads, writing cold outreach, and managing follow-ups.
Before you know it, your day is swallowed by a chaotic pile of disconnected AI tools. Teams end up wasting time switching between tabs, losing context, and burning budgets on a dozen different subscriptions just to align sales and marketing. It shouldn't feel this fragmented, and it definitely shouldn't feel this overwhelming.
We built Pebbles Ai to collapse that heavy, expensive stack into one secure, unified workspace for your entire growth team.
Who It's For?
B2B growth teams and professionals across sales, marketing, and RevOps trying to land their first or next customers.
What is the solution?
Pebbles Ai brings your strategy, audience targeting, and outreach into a single, connected loop. It combines advanced neurosymbolic AI with real B2B growth expertise so teams can work together in one place.
• Learns your product and tone of voice from your brand docs, so you never re-explain your business
• Reads B2B market signals to find your ideal customers and split them into clear segments
• Acts like an in-house strategy consultancy and content agency in one
• Crafts multi-touch campaigns tailored to each segment automatically
• Keeps your data private in tenant-isolated architecture (CASA II certified)
We are live in the comments all day! Check out trypebbles.ai, give it a spin with your team, and let us know your thoughts. We would deeply appreciate your support and feedback today! 🚀
One thing I'd love to see is a built-in deliverability dashboard for outreach sequences, showing open rates, reply sentiment, and spam risk at a glance. It would save jumping back into a separate email tool to gauge what's actually landing.
@yamur9372291199 Great question! You're basically reading our roadmap. Expect something similar in Q4. Let me break it down:
Open rates: we're deliberately not showing these. Open tracking runs on invisible pixels. Google, Yahoo, and Microsoft now flag those pixels as a deliverability risk. So you'd get a pretty number (vanity metric) that sinks your inbox placement, which harms real commercial impact over time. It's visibility vs deliverability, and I'll take the inbox every time. Reply rate tells a similar story, minus the penalty. If you get your targeting, messaging, and positioning right, your reply rate, even negative, will show you if your emails are being delivered. It's even harsher for mid-market and enterprise, where the filters are ruthless. With startups you can get away with a bit more.
Spam risk: this one we've gone properly deep on. Fun fact, I used to look after Chrome and Gmail at Google, so I've seen how spam works from the other side. It's very sophisticated. Here's the key bit though: filters don't run off a simple word list anymore. It's mostly reputation, authentication, and engagement. In Q4, Pebbles Ai will handle the warmup and sender setup for you. But language still nudges the score, especially combined with weaker signals. So on top of all that, our Tactical Outreach core (brain) avoids 150+ phrases that correlate with spam. "Free" is the classic offender. Type "free trial" in your brief, and it swaps in "complimentary." It does this automatically, across email and LinkedIn, for both sales and marketing. You can already use it in your Tactical Outreach, or via the Outreach workflow in your Marketing Assistant.
Reply rates: here's the part I'm most excited about. The system will reply to your inbound perfectly, on your behalf, fully autonomously. The neurosymbolic AI is trained on GTM sciences, B2B heuristics, and a proprietary knowledge base. But it also learns 3 things that are uniquely yours: (a) your organisational data, (b) your brand voice, and (c) even your personal writing style. That last one is the secret. It's what maximises humanisation and builds a real connection with the person on the other end. This is already live in SmartBox, Marketing Assistant, and soon also in your Tactical Outreach campaigns. It essentially a highly capable SDR.
Your Advanced Deliverability Dashboard (ADD) will be in your hands this year and part of the existing subscription.
The whole sales-and-marketing side living in one place is the part that caught my attention. One question: what does a good first week look like - where do people tend to see value fastest?
@alieksia Anastasiia, you're sharp. You've spotted the actual point, so let me lean into it.
The world has hundreds of point solutions for sales and marketing. So people pick one slice, say outreach, pour all their energy into it, and do it brilliantly. But outreach is just one leg of a relay race.
Real commercial success is a team sport. Strategy sets the direction. Marketing builds positioning and runs the campaigns. Sales picks up the baton through RevOps, inside sales, and account management.
If those teams all live in different tools, the baton keeps getting dropped. Not to mention the tool fatigue people are feeling now. My office hours with customers reveal a range between 10-25 GTM related tools being used, depending on the size of company (range 10-100).
Think Jira. Back-end, front-end, DevOps and QA all work in one place. Engineering already do it. Nobody had ever built that for GTM teams.
Why you ask? These point solutions are usually built by brilliant engineers, but who never actually lived the problem. They typically never worked in a strategy, marketing, or sales department inside big tech, a unicorn, or a centaur startup.
You can't build what you've never lived. So you solve one fragment well, but miss the entire flow.
To run the whole flow, you also need a serious brain underneath it: a hyper-trained AI in the GTM domain space. That has to be neurosymbolic, because it's the only reasoning core every team can work from.
Now, your actual question: what does a good first week look like, and where do people see value fastest?
Here's your 1st week, in the right order:
Onboard your company. Hop into Pebbles Ai and set it up. Three minutes, done
Connect your email to Smartbox. Now you've got a second brain running your email
Invite your team. Everyone works in one workspace, sharing the same centralised brain and company voice
Open Strategy Assistant. Go to Trends workflow, and see where your best opportunities are. This tells you which country and which industries to chase.
Jump to Marketing Assistant. Go to Research workflow to identify your ICP and/or persona clusters. You'll learn their pain points at three levels: the organisation, the team, and the individual itself
Generate your leads. You now know the geo, the industry, and who to target. The system finds real people with the highest statistical probability of replying and taking a meeting
Reach out, email or LinkedIn, your call. Go to Tactical Outreach feature if you want all advanced features to build a campaign, or click on Outreach workflow under Marketing Assistant if you want to do it fast
Quick note on what's baked into that outreach (3 science-based methodologies):
Hyper-personalisation strokes the human ego, "I get you, I empathise, and I understand it"
Communication science keeps the communiqué clear, understandable, and engaging
Persuasion sciences are the Jedi mind tricks that convince them to go on a call (or to join)
Then the replies land back in your Smartbox, and you're off.
Each feature has its own neurosymbolic core, trained for one specific job. Strategy Assistant thinks like a McKinsey strategist. Smartbox persuades like your senior sales manager at Cisco. Your Tactical Outreach writes like a senior content writer at Saatchi & Saatchi.
There are 8 neurosymbolic cores (brains) within the OS, each with its own skills, expertise, reasoning, knowledge-base, and judgment.
Here's how we've built our 8 neurosymbolic brains that live inside of your OS:
Data gathering: over 10 years in Big Tech (Google, Cisco, HubSpot, Walmart Global Tech), we learned what actually works in go-to-market, what doesn't, and what the best practises are. We've never touched synthetic data. We did it the hard way
Information structuring: we took those lessons and organised them into a logical, structured foundation, enriched with GTM sciences, primary data (focus groups, in-depth interviews, surveys), and empirical evidence drawn from real campaign performance across hundreds of go-to-market motions
Knowledge building: from there we built our own strategy models, the way McKinsey did on Madison Avenue in the 1980s, but built for the digital era and for SMEs and mid-market orgs. From a 10-person startup to a 1,000-strong organisation
Insight testing. then we battle-tested these models with over 30+ companies from unicorns, centaurs, traditional business service companies, to mid-market organisations. We saw how those models, science-led methodologies, and battle-tested tactics held up in the real world
Wisdom encoding: finally, we encoded it into our neurosymbolic AI architecture, with PhDs and domain experts reviewing every line of reasoning and every output for 3 years. That's what lets our cores now operate like those experts, recreating the reasoning, workflows, and excellence of the top 1% in the world
Every core gets sharper the more you use it, and the whole system levels up together.
Dropping an upvote. quick question does it track competitor signals too or just customer buying intent?
@priya_kushwaha1 Thanks for the upvote, appreciate it!
And yes, we do competitor signals too, not just buyer intent. There's a dedicated workflow for it in your Strategy Assistant.
Here's what makes it different. It's built on the same workflows, expertise, and judgment you'd get from a team at McKinsey, BCG, or Bain. But without the invoice.
It doesn't just read the signals. It interprets them. Through neurosymbolic pattern recognition, it tells you what a competitor is actually up to and what they're likely doing next.
Then it answers the question that matters most: so what? What does this mean for you, what can you do about it, and what would you recommend me to do about it?
That's the whole point of neurosymbolic AI: it's not an LLM, it's not a next-word generator, it's a reasoning system. Think of it as cloning the brain of the top 1% of domain experts in the world across strategy, marketing and sales.
Essentially, democratising these skills, expertise and judgment for everyone to use. Just head to your Strategy Assistant and hit "Analyse" button (workflow).
Lancepilot
👋 Excited to hunt Pebbles AI today!
Every founder knows the challenge after building a great product, figuring out how to actually bring it to market. Strategy, lead generation, outreach, sales, content, and collaboration often end up spread across too many tools, making GTM execution slower than it should be.
Pebbles AI takes a different approach by bringing everything together in one AI-powered Go-To-Market Operating System.
With Pebbles, teams can:
• Build GTM strategies in minutes
• Generate qualified leads
• Create personalized email & LinkedIn outreach
• Collaborate through a shared company knowledge base
• Work with AI that's trained on their business using neurosymbolic reasoning
I particularly liked that the team focused on solving the entire GTM workflow instead of adding another standalone AI tool.
The team is offering a free trial, so it's a great opportunity to explore the platform and see how it fits your workflow.
The makers would genuinely love your feedback:
Which part of your GTM process takes the most time today?
If you could automate one thing, what would it be?
Looking forward to hearing everyone's thoughts!