Gro - The best way to prospect and sell with AI
When sales teams drown in data, Gro turns it into action. Gro is a unified AI sales engine that brings prospecting, targeting, outreach, and intent tracking into one clean workflow. Powered by a live 1B+ database, AI-driven propensity scoring, multi-channel automation, and intent signals, Gro helps teams focus only on accounts that actually matter. No exports. No fragmented tools. Just precise outbound, end to end.
Replies
Minara
Gro
@frank_li13 Thanks, pls give it a shot.
Gro
@frank_li13 i think we are probably the only product that has the datapoint at this scale, apart from LinkedIn.
Gro
@zaczuo Thanks for the hunt! Honored to have your support.
This looks like a massive time-saver for prospecting. I've just checked an export sample and the data structure (LinkedIn URLs, company size, and follower counts) is incredibly clean, which is rare!
Since you have Webhooks and Slack in the roadmap, will it be possible to trigger an automation or notification every time the AI finds a new profile that matches my specific search criteria? That would make the prospecting process truly 'autopilot.' Congrats on the launch, the product is really solid! Already Upvoted! 🚀
Gro
@giorgio_cignitti_phd That's a really good idea, i'll definitely add it to the roadmap!
Gro
@giorgio_cignitti_phd thx for the feedback. yes it is possible. we did hubspot integraiton and with more integration on request. Gro v3 will be a completely auto-pilot with less than 3 touch points on the human side. and yes, it will notify you. btw, we will be adding a monitoring feature by the end of Feb, that allows you to monitor keywords and intent signal based on LinkedIn post.
thx for your vote Dr. Giorgio.
Leo
Product Hunt
Gro
@curiouskitty This is such a good question. The strongest reason teams switch isn’t usually “we need another tool.” It’s that they’re tired of stitching three decent tools together and still feeling slow.
When your database, intent signals, and sequencer are separate, you introduce friction at every step by exporting lists, cleaning data, re-scoring leads, rewriting messages, syncing to CRM. Each handoff adds latency and context loss.
The biggest thing teams have to give up? Customization at the edges. If a team is deeply invested in a very specific stack or niche workflow, moving to a unified system means trusting one platform to handle more of the chain. For some teams, that’s a mindset shift. You trade a bit of modular control for speed, coherence, and less operational drag.
The compounded win of unifying it isn’t just convenience; it’s momentum. The other big unlock is the AI co-pilot layer. With Gro, it doesn’t just automate sequences... it learns your offerings, your ICP nuances, your tone, and even your personal messaging style. Over time, it understands how you position value and adapts outreach accordingly. That’s hard to replicate when your data, automation, and messaging brain live in different systems. The teams that switch to us are the ones who realize the real cost wasn’t tool pricing but fragmentation.
@curiouskitty @alexis_lee3 Giving up edge customization is the hard part. If Gro's reasoning can show the intent signal behind each account pick and timing, plus an easy override loop, that's a real reason to swap a ZoomInfo, Outreach, and 6sense stack for one system.
Gro
@curiouskitty this is something i referred as "tab tax" every time that you switch between app, between each tab, it cost time and money.
The biggest compounded win from being a unified one is efficiency gain and cost saving. One that replaces many. and it also sets the foundation for the auto-pilot mode which we are working towards to. thx for your feedback.
PopPop AI Vocal Remover
Multi-channel sequences (LinkedIn +Facebook+ Twitter+ Email) synchronized? That’s 10x the surface area.
Nice - upvoted! Go Gro team~
Finally, a sales tool built by people who actually understand sales.
Gro
@bury_huang1 Appreciate that! We built the tool we actually wanted to use. Sales shouldn't be a data entry job, it should be about meaningful conversations. Glad that's coming through!
Wordwand
This hits on a real pain point. I've been on the receiving end of so many LinkedIn outreach messages that are clearly templated: "I noticed your background in [INDUSTRY]" with zero actual personalization. The fact that you're combining intent analysis with AI personalization could actually make automated outreach feel human again. Curious: how do you handle the balance between automation volume and keeping messages genuinely personal? At what scale does the personalization quality start to degrade?
Gro
@diegodau good question. Firstly, we start from the top, and qualify all leads at the search level. Most of LinkedIn outreach relies on a search URL generated from LinkedIn, and you have no ability to filter them out, whereas we let you search with precision and conduct a propensity score. So you start with a much more precise base. 2ndly, we analyse multiple data points, e.g. profile, website, post, etc., to generate a personalised message, more importantly, with context.
and we are pushing to support 5 rounds of conversation without losing the context.
Give it a shot, try for yourself, man.
Leo
Wordwand
@leo_aj yes I will try! Thank you for the answer and good luck!
Intent signals are useless if they aren't tied directly to the workflow. The fact that Gro has a live database AND multi-channel automation under one roof solves the latency problem. By the time you export data from a traditional tool, the intent is stale. Congrats on shipping this, Gro team!
Gro
@avery_thompson2 Thanks Avery! We really appreciate you seeing why we built on a live database, the real value only happens when signal → reasoning → outreach happens in one continuous workflow.
Gro
@avery_thompson2 thanks!
Atoms
Congrats on the launch! Love seeing AI applied to the full “prospecting → outreach → follow up” loop, not just generating a generic message. Curious what inputs you rely on to avoid shallow targeting, and what guardrails you have to prevent hallucinated company or persona details.
Gro
@zongze_x there is a maturity model based on whether we have gathered enough info from the user, which then triggers the search function. and a few guardrails on the prompt and context engineering front to stop hallucination. thx for the feedback, appreicate if you can sign up and give it a try.