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.
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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.
Multiple angles to it. But the most fundamental one is table native vs workflow native. Every workflow block is a dataset of it's own. 1. Search for a 100 companies in block 1. Find relevant people in block 2. It automatically becomes a 500 person dataset.
Now try enriching emails. If found you can build a sequencing flow. If not, you can route to a linkedin warmup.
What's more we don't charge you for API calls or actions :P
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💎 Pixel perfection
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.
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
interesting direction… most tools stop at “generate something” but the real pain starts when things need to run reliably over time
feels like this is trying to move closer to execution vs just generation
still early, but definitely more aligned with how real systems behave
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Maker
@rnagulapalle Indeed. We're out to build the complete picture and not just give insights.
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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.
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Maker
@katarzyna_krynska As I always say. Your GTM systems are sacred. A misjudged AI write into CRM can lead to a week long cleanup.
Hence our pitch
"Rely on agents to build deterministic automations that run the same 1000 times instead of using agents to perform a 1000 actions"
Brainstorm: Helps you do fast POCs with real data
Workflows: Help you scale it in a deterministic manner.
Perfect balance of the AI flash and traditional substance.
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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
@samdsgn thank you so much. Means a lot.
Build Check
Wow team! It looks awesome. Is it already monetized? Anyway, wish you all the best on this impressive launch
@german_merlo1 yes, we have paying customers. Thank you!
How is this different from Clay? Genuinely curious. Sounds like a different category but want to understand the line.
@theuiface
Multiple angles to it. But the most fundamental one is table native vs workflow native. Every workflow block is a dataset of it's own.
1. Search for a 100 companies in block 1. Find relevant people in block 2. It automatically becomes a 500 person dataset.
Now try enriching emails. If found you can build a sequencing flow. If not, you can route to a linkedin warmup.
What's more we don't charge you for API calls or actions :P
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
@jean_claude_samba_samba
Thank you so much. Would love to hear out use cases and brainstorm !
niceee
@madalina_barbu Thank you
ASI:One
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
@rajashekar_vennavelli Absolutely. You can gather all possible deal context and
Find out moved out and recently joined buyers
Personalise in any shape or form
And re-engage. Happy to brainstorm
interesting direction…
most tools stop at “generate something” but the real pain starts when things need to run reliably over time
feels like this is trying to move closer to execution vs just generation
still early, but definitely more aligned with how real systems behave
@rnagulapalle Indeed. We're out to build the complete picture and not just give insights.
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.
@katarzyna_krynska As I always say. Your GTM systems are sacred. A misjudged AI write into CRM can lead to a week long cleanup.
Hence our pitch
"Rely on agents to build deterministic automations that run the same 1000 times instead of using agents to perform a 1000 actions"
Brainstorm: Helps you do fast POCs with real data
Workflows: Help you scale it in a deterministic manner.
Perfect balance of the AI flash and traditional substance.
Happy to understand your use cases and talk more. https://cal.com/aradhya-shandilya-oaznsv/15min