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
Gro
Hi Product Hunt 👋
I built Gro because I got tired of pretending outbound sales was a tooling problem.
We saw more automation and sequences, and somehow we got fewer real conversations. In 2024, average connection rates fell to ~3% and reply rates to ~1%, yet the response was simply to automate harder (to be honest, we tried that first)
But then we realised that the problem wasn’t effort or execution. It was thinking.
Sales teams don’t struggle because they can’t send messages. They struggle because they don’t know who actually matters, why they matter, or when to engage.
So we built Gro as an AI Sales Co-Pilot (and not another spray-and-pray engine): a reasoning system that helps teams decide who to reach out to, what to say, and when to engage using live data, intent signals, and context.
Gro doesn’t make you louder. It makes you more precise. It’s opinionated, a little uncomfortable at first, and far more effective. Teams using Gro are seeing 5–13× improvements in connect and reply rates.
If outbound has started to feel broken to you too, I’d genuinely love your feedback.
— Leo
PS: Product Hunt exclusive: Use PHGRO20 for 20% off your first 3 months.
Gro
@leo_aj 🚀 Let’s go, Product Hunt! So proud to be building Gro with this incredible team
Gro
@leo_aj Thrilled to be part of the Gro team launching today! We’re on a mission to make outbound precise again 🚀
Triforce Todos
Finally! The 'export to CSV' nightmare is over. 🎉
As someone who has juggled 5 different tools just to get a single prospect list, the idea of a unified workflow with a live 1B+ database built in sounds like a dream. The propensity scoring is a game-changer; no more guessing which accounts are window shopping vs. ready to buy.
Congrats on the launch!
Gro
@abod_rehman thanks! we're excited to keep building and improving the models + workflows.
SEMrush
Congrats on the launch! What sources do you use to create lists of prospects?
Gro
@alina_petrova3 Thank you! To answer your question: Gro pulls from a combination of proprietary datasets, trusted data partners, and real-time enrichment signals. We’ve also built our own indexing and filtering layer on top, so users can search in natural language and refine leads conversationally instead of relying on static lists.
Really impressed by what the Gro team is building here.
It’s not just another automation tool, the reasoning layer that helps you prioritise the right accounts and craft more thoughtful outreach is what makes it stand out. For anyone struggling with noisy outbound and low reply rates, this feels like a smarter direction.
Gro
@cen_xu Thanks Ethan, will love to see you give it a try.
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.
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.
You mention Gro is opinionated — does the reasoning engine actively prevent me from emailing low-propensity leads to protect my domain reputation?
Gro
@valeriia_kuna the way we approach this is with a propensity score + AI recommendations on a particular lead. Our users enjoy the ability to rank/score leads to determine priority. You'd be able to weed out the low-propensity leads from your outreach efforts to keep the quality of your outreach, and protect domain reputation.
Gro
@valeriia_kuna it provides you with recommendations, e.g. to hold on to the outreach and suggestions to do more search via gro..
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
@leo_aj yes I will try! Thank you for the answer and good luck!
Gro
@sunaina_ukil1 yes, we worked hard to figure that part out rather than add to the noise.
Agnes AI
Integration with HubSpot right out of the gate for Enterprise is a huge plus！
Gro
@cruise_chen Glad you see the value there.
Gro
@cruise_chen thx and we are in the process of adding gro in hubspot marketplace
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.