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Kevin William DavidThe future of GTM is here. nRev is a GTM wizard, trained on 10,000+ deployed marketing and sales engines. It consults based on what's working, builds and deploys automations, simply by having a conversation with it.
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Love the conversation-as-interface play here. One question for the team - how are you thinking about agent dependability over time? That's the wall most GTM automations hit by month 3. Either way, real product, serious team. Going to give it a spin.
interesting direction…
most tools stop at “generate something” but the real pain starts when things need to run reliably over timefeels like this is trying to move closer to execution vs just generation
still early, but definitely more aligned with how real systems behave
Will this work for reactivating dead deals? Pulling closed-lost from the last 12 months and re-engaging only the ones showing fresh buying signals since
I've been using nRev AI for quite some time, and one thing that really stands out is how simple it is to build workflows.
For a non-tech like me, it's a good thing.
I describe in plain English what I want to build, and I sit back. I tested it so many times using my LinkedIn, and I was really amazed by the results.
I also love the visibility nRev Ai gives. You can track each workflow, its execution time, and even see how many credits you're using. This helps you plan better.
I think, overall, the level of transparency is really helpful.
Anyway, that's just me!
Congrats on the launch! Excited to see how it evolves. @sayanta_ghosh @jaypurohit09 @aradhya_shandilya
Wow team! It looks awesome. Is it already monetized? Anyway, wish you all the best on this impressive launch
How is this different from Clay? Genuinely curious. Sounds like a different category but want to understand the line.
nRev is the real deal. A month of beta testing culminated in me nuking four different subscriptions in one afternoon. The plain English builder is the sleeper hit here—everyone's going to underrate it on paper, but it’s the secret sauce for speed.
thank you so much
Great launch, Once I set this up, can I trust it to run the exact same way every single time?
Are u only listening to LinkedIn and Reddit, or can it pick up signals from other public sources like X, Instagram, SEC filings, government data, news?
“Tried this today pretty interesting so far. Planning to use it for LinkedIn GTM for our product to drive B2B clients. Curious to see how well it handles platform-specific nuances though LinkedIn outbound and content strategy can get very context-heavy (ICP, tone, sequencing, etc.). If it can go beyond generic playbooks and actually adapt to that level, this could be a strong tool.
Can I set this up to watch executive job changes in my target accounts and trigger a warm outreach the day they update LinkedIn?
What happens if something breaks midway? Can users' see what broke? this has been a major problem with some of the AI integration-type tools I've tried till date
Congrats on the launch @aradhya_shandilya @sayanta_ghosh @nikhil_ojha2 @rajat_jain5 !! I'd love to know from where are you pulling in signals from? I'd like to keep a tab of updates from some products I follow - what are they building, their communications, etc. What are your sources? They post across reddit, insta, linkedin too. Do you cover those too?
Massive congrats on the launch! ⚡️ I’ve been interning at nRev since February and seeing the team build this from the ground up has been incredible. It’s not just another tool. It actually replaces the mess of duct taped apps most GTM teams deal with. So proud to see the "AI GTM Engineer" finally out in the world! 🚀
Hi everyone, Bhavesh here!
I'm a Founding Engineer at nRev.
My focus has been building the underlying engine that powers everything the team have shared.
While Nikhil and Daksh were perfecting the AI "brains," I spent my last year building the "body"—the platform that ensures those agents have a solid place to work.
In GTM, "cool" doesn't matter if it isn't reliable. You can't run a $50M company on a system that "mostly" works. I've spent the last year obsessing over the platform's plumbing: ensuring that when an agent triggers a workflow, the data flows perfectly from the CLI or workflow to your CRM without a hitch.
We built nRev so you could stop being a "tool integrator" and start being a "GTM Architect."
We've taken the entire burden of managing vendors, fallbacks, and execution logic and baked it into the platform core.
If you've ever had a workflow break in the middle of a massive campaign, you know my pain. I'd love to know what's the most "fragile" part of your current GTM setup?
Hey everyone, Amit here, Founding Engineer at nRev.
Huge day for us. This has been a deep, hands-on build - taking GTM from a pile of stitched tools to something you can actually reason about, modify, and scale without friction.
My focus has been on making the system behave predictably under real-world complexity. GTM workflows aren’t static APIs fail, data is messy, and edge cases show up at scale.
We designed the platform to handle this natively: retries, fallbacks, state management, and observability are not add-ons, they’re core.The goal was simple: you describe intent, the system figures out execution - reliably.
If you’ve ever had a campaign break because one integration failed or spent hours debugging a workflow across tools, I’d love to hear where things usually fall apart for you.
Excited for this launch!
The problem around GTM being too tool-heavy and manual is very real. @nRev feels like a strong step towards simplifying that.
Would love to know, what is the most painful part of your current GTM setup?
About nRev on Product Hunt
“Your AI GTM Engineer”
nRev was submitted on Product Hunt and earned 80 upvotes and 54 comments, placing #77 on the daily leaderboard. The future of GTM is here. nRev is a GTM wizard, trained on 10,000+ deployed marketing and sales engines. It consults based on what's working, builds and deploys automations, simply by having a conversation with it.
nRev was featured in Sales (21.7k followers), Artificial Intelligence (467.2k followers) and Marketing automation (3.8k followers) on Product Hunt. Together, these topics include over 100.2k products, making this a competitive space to launch in.
Who hunted nRev?
nRev was hunted by Kevin William David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
nRev has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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Hi everyone, Sayanta here, co-founder of nRev.
We started building nRev when we couldn't find a single $1-50M B2B company running GTM on fewer than 10 tools.
Clay + HeyReach + Trigify + n8n + 15 more, patched together. Every new experiment meant adding another in the line and sticking to them for the entire year.
Rajat, Nikhil and I (ex-Mindtickle) kept walking into this same mess at every team we worked with. So we started fixing it. 10,000+ workflows later, today we're shipping 3 things:
1. A brainstorming agent trained on every one of those 10,000 workflows. What worked in staffing. What broke in SaaS. Which motions compound for which ICP. Brainstorm strategy with it before you build anything.
2. A CLI that turns Claude into a GTM engineer. 70+ data providers, skills, MCPs, the full stack.
3. An AI builder that strips the technical tax. Describe a workflow in plain English. Agents build it, connect the tools, run it.
The bigger bet underneath all three: most "GTM Saas" is prescriptive. The workflows are built to suit majority teams, but today AI allows us to design our motions that work best in our context and teams. We're closing that gap.
Free to try, no credit card. I'd love your honest feedback on which of the three you'd actually use first, and what's missing for your stack.
Massive thanks to our 100+ design partners who broke nRev in every possible way over the last year, and to Kevin for hunting us today. Rajat, Nikhil, Jay, Aradhya and I are all in the comments answering everything.