Bond
Outbound campaigns powered by real buying signals
851 followers
Outbound campaigns powered by real buying signals
851 followers
Bond is your AI GTM Engineer. Tell it who you want to reach. It builds the audience, plans the campaign, writes the messaging, and executes it end to end. Every data provider and outreach tool you need, in one workflow. Build your first campaign in 15 minutes.
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Promoted
👋 Hey Product Hunt,
I'm Christian, co-founder of Bond, building this with @abudi_mo and @ahx.
My last company existed to help non-technical founders build software without hiring an engineer. Thousands of them. People who had been told building wasn't for them, who sat down and shipped real, solid products anyway.
But I kept watching the same thing happen next. They'd finish the product... and then go quiet.
In an age where anyone can build, building isn't the bottleneck for growth anymore. Go-to-market is.
Doing outbound is the biggest lever. But doing outbound well today means stitching together Sales Nav, three enrichment tools, ChatGPT in ten tabs, and a copywriting tool. Then hiring a go-to-market engineer ($150k/year) to wire it all together.
Most founders can't afford that person. And honestly, they shouldn't have to.
That's why we built Bond. Great outbound campaigns that convert, run by small teams, no GTM engineer required.
Three steps:
1) Describe who you want to reach. Bond builds the full campaign plan.
2) Fine-tune and approve campaign plan. Bond executes end to end... signal triggers, enrichment, research, scoring, personalized messages.
3) Push to your sequencer. HeyReach, Instantly, or CSV. Outreach runs on autopilot.
Why it's different:
⚡ Fast. First campaign live in 15 minutes. No setup, no integrations to wire.
🧠 Sophisticated, but simple. Signal-based triggers (funding, hiring, leadership changes), 50+ data sources, every lead scored on the playbooks of top GTM teams.
🔌 One tool instead of seven. Under the hood: the 5 best email and phone finders in waterfall, real-time verification, full enrichment, research, copy. Everything top GTM teams stitch together themselves, working invisibly for you.
✍️ Personalized, not templated. Every message written from real research on that specific prospect, pushed live in one click.
The ColdIQ CEO ran a full campaign in 15 minutes with three prompts. Called it "Lovable for prospecting."
Free to start. 50% off this week for Product Hunt.
What's a signal you wish you could act on right now? A competitor raising, a target hiring their first VP of Sales, a champion switching jobs. Drop it below and I'll show you exactly how Bond runs that play.
Thanks for being here ❤️
Christian
@abudi_mo @ahx @christianpev "Building isn't the bottleneck anymore, go-to-market is" is the realest line in this post, the last company's "they go quiet after shipping" pattern is exactly it. On the signal you asked for: the one I'd kill for is "competitor just churned a logo", but it surfaces the hard problem under all signal-based outbound, which is decay. A funding round is fresh for maybe a week. "Hiring their first VP of Sales" is useless if you act on it three weeks late, the seat's filled and you look like you weren't paying attention. So the question isn't sourcing signals, it's freshness and precision: how recent is the data Bond fires on, and what's the false-positive cost? Acting on a stale or wrong signal doesn't just waste a send, it burns the prospect and your domain rep at the same time. The teams that win outbound aren't the ones with the most signals, they're the ones who trust theirs.
@abudi_mo @ahx @artem_fedorovich Great question! Short answer is it depends on the data. We aggregate multiple paid databases. Some of that data is live so real-time. Others refresh every 15 days. So that is the range. If we compare that to building a list in Clay (with an old database), we are hitting very high standards for the industry.
@abudi_mo @ahx @christianpev Very cool idea - you saw where the gap was and made polished outreach campaigns accessible to SMBs. And bringing everything under one umbrella makes it so much simpler to use, especially for the non-techy. Is there any particular industry or company size that you see Bond being best suited for? I work with a lot of Solopreneur Clients, and while they'd probably benefit from using Bond, would it be too much for them?
The end-to-end execution piece is what most tools in this space dodge — they hand you back to Smartlead or Instantly for the sending stack. If you're really handling warmup + sending + reply detection inline, that's a meaningful step up.
Real question: what's the data layer underneath? Clay's whole moat is the enrichment graph. Are you wrapping Apollo / ZoomInfo, or building your own?
@ran_kopchovski Hey, this is a super legit question. We have waterfall enrichment with the top provider you would find GTMEs using. Just like Clay. We also have multiple fancy paid databases for the build-a-list function so the data is of very good quality.
What a lot of people miss is that if you are more technical you can also do all sorts of fancy stuff like use webhooks, HTTP, Bring your own APIs, but regardless you have a simple user interface to build sofisticated campaigns.
Just to be clear though, we do list building, enrichment (e-mail + phone), e-mail verification, lead scoring and qualification, deep research, copywriting, and then you can push to a sequencer (Instantly, HeyReach cvs). Thought I should clarify.
Thanks for the support.
With a professional approach, there are more tools involved ;) What about checking email configuration and blacklist status? What about email warm-up? What about verifying whether a generated email actually exists? What about finding people on LinkedIn? And so on. Without all these tools, the outreach will simply end up in spam or, at best, in the Promotions tab in Gmail.
@natalia_iankovych You are absolutely right. Sophistication requires a lot. We have built-in verification for email with Bond. Our built-in data providers include everyone on LinkedIn, including live data, and you can even retarget post-engagers. For more experienced GTM people, you can do advanced things like bring your own APIs, use webhooks, HTTP columns, and so on. Because we have a deep research agent and a copywriting agent that work together, the messages come out very personalized, but you can also fully adapt them until you are happy. One trick I actually use is to upload an example email with my tone and the value proposition I want to emphasize, and then have it create a personalized first line. There are so many ways to have it come out the way you want. Overall, the core of what we do is aggregating all the best GTM tools and having them orchestrated through Bond, which is an agentic AI layer trained on the know-how of the best GTM engineers. Thanks so much for taking the time to comment, and feel free to shoot any follow-up questions.
How much control do you have over the ICP filters and exclusions before it starts sending anything?
@thamibenjelloun You have full control throughout the entire process. You can finetune and approve the preview list, qualify / disqualify based on any criteria, do deep research, even bring your own list. We made it as flexible and powerful as Clay but you build your campaigns like in Lovable.
Hey PH fam 👋
Thrilled to bring Bond to the community today. This one is personal for me.
I first crossed paths with Christian back in the peak no-code era of 2018. Watched him help thousands of founders ship real products who had been told building wasn't for them. We recently reconnected and I was struck by how locked in he is on solving the next bottleneck. Same energy, sharper focus.
He's a natural teacher, obsessive about UX, and genuinely committed to putting the power of AI in the hands of people who shouldn't need an engineer to get there. That thread runs straight through Bond.
Here's the uncomfortable truth most early teams haven't fully reckoned with:
Building is no longer the bottleneck. Go-to-market is.
The average outbound stack costs $2,000/month in tools and $150k/year in the engineer who runs them. For most early teams, that math doesn't work. That's exactly why Bond exists.
What makes it different from tools like Clay: Clay is powerful, but it's built for ops engineers who want to design workflows. Bond does that work for you. One conversation, same results, no learning curve.
The reason it works is the foundation it's built on:
→ Bond understands your company, your value props, and real buying signals -- job changes, funding rounds, hiring activity, intent data.
→ Every list is targeted because of that. Every message is relevant because of that.
→ 50+ data sources, five email and phone finders in waterfall, real-time verification -- all running underneath, invisibly. → First campaign live in 15 minutes. No setup, no integrations to wire.
Christian, Abudi, Ahmed and the team are live in the comments all day. Go check it out and show them some love. 🙏
Big congrats to the Bond team 🚀
@thisiskp_ Thanks for the shout out! Have looked up to you for years, so this means a lot buddy.
@christianpev appreciate the kind words. The feeling is mutual!
15 minutes to first campaign is a bold claim for a tool that's also promising audience building, messaging, and execution. usually the speed comes at the cost of the targeting being too broad to actually convert. curious what the average reply rate looks like in practice
@ansari_adin Super strong observation. It took us 1 year to build this because yes it is very sophisticated software. Reply rates entirely depend on the campaign, the industry, the channel etc. However attached is a LinkedIn campaign I'm running that targets competitors LinkedIn posts (yes, Bond can do that too).
The "replace the $150k GTM engineer" framing is bold. The job I've watched a GTM engineer actually do is roughly 30% writing campaigns and 70% deciding which signals matter for this specific product this specific quarter. The second one drifts every 6-8 weeks. Where does Bond sit on that? Does the human still own "which signals to weight" and Bond owns execution? Or do you try to learn the weighting from outcome data too?