Gojiberry AI helps B2B teams find and contact leads who are showing buying intent.
Instead of scraping cold lists, it tracks real-time signals like LinkedIn likes, comments, job changes, and funding rounds to detect when someone is ready to buy.
With one prompt, Gojiberry builds your ideal lead list, enriches every contact, and generates personalized outreach messages.
Teams using Gojiberry get 3–5x more replies, close deals faster, and stop wasting time on people who aren’t interested.
This is the 3rd launch from Gojiberry AI . View more
GojiberryAI
Launched this week
Stop blasting cold lists. Gojiberry detects intent signals, finds warm prospects, and personalizes LinkedIn outreach end-to-end—so you can track which signals convert into real conversations.
Free Options
Launch Team
Gojiberry AI
Hey Product Hunt 👋
I’m Romàn, co-founder of GojiberryAI
We built Gojiberry because outbound is broken.
Founders and small sales teams waste hours:
• Scraping random leads
• Sending generic “Hey {{first_name}}” messages
• Guessing who might be interested
• Burning accounts with bad automation
And the worst part? Most of those people were never ready to buy.
So instead of automating spam… we decided to automate intent.
GojiberryAI is an AI GTM Brain that:
→ Detects high-intent buying signals (profile views, job changes, funding, competitor engagement, content interactions)
→ Enriches and qualifies leads automatically
→ Generates hyper-personalized LinkedIn conversations
→ Centralizes everything in one inbox
→ Lets you fine-tune campaigns with an AI Co-Pilot
Unlike traditional outreach tools that focus on volume, we focus on signal first, message second.
The result:
• Higher reply rates
• More booked demos
• Less manual work
• No copy-paste templates
We’ve used this system to generate hundreds of conversations and scale from 0 to $1M ARR, and now we’re opening it to the PH community.
🎁 Product Hunt Special
We’re offering an exclusive launch discount for the PH community.
Use code: PH10 for 10% off your first month.
We’ll be here all day answering questions, sharing our exact stack, and being fully transparent about what works (and what doesn’t).
Thanks for checking us out, excited to hear your feedback 🚀
@roman_cz Hi Roman. This is amazing. Congratulations on launching! What’s the architecture behind the AI agents? How do they research, enrich, and act on leads automatically?
Gojiberry AI
@kimberly_ross I'm not the technical guy, I'll let @dylan_teixeira respond :)
@kimberly_ross @dylan_teixeira @roman_cz Hi Kimberley, that's our secret sauce :) Just kidding. We've developed our AI agents that search for prospects on the web, then we assign them a double score based on the typical user profile (with ChatGPT, & Claude API). Next, we use third-party tools to enrich the prospect via a smart waterfall.
False positives are the killer with intent tools. If Gojiberry is catching job changes and competitor engagement, having the AI Co-Pilot show the signal trail and conversion by signal helps reps trust it. I'd add pacing limits and a human approval queue in the central inbox so account health doesn't become the hidden cost. That's how signal first sticks.
Gojiberry AI
@piroune_balachandran Absolutely ! I could not say it better.
Easy Save AI
@roman_cz congratulations on the success of the launch
Flexprice
High reply rates are good, but pipeline quality is what matters. Have you seen improvements in close rates too, or mainly top-of-funnel lift?
Gojiberry AI
@shreya_chaurasia19 Yes, with intent, the closing rates are way, way better.
How does it actually detect high-intent buying signals? Curious to use it. Congratulations on the launch, @roman_cz!
Gojiberry AI
@neilverma Really appreciate it 🙏
We don’t rely on generic “AI guesses.” We track real, observable intent signals across LinkedIn and company-level events.
Concretely, we detect things like:
• People engaging with your competitors (likes, comments, follows)
• Prospects viewing your profile multiple times
• Job changes into relevant roles
• Companies hiring for roles that indicate budget or need
• Funding events
• Tech stack signals
• Trigger events tied to your ICP
Then we layer that with:
ICP matching (persona + company fit)
Signal strength (how strong the buying intent actually is)
Recency (how fresh the signal is)
Each lead gets an AI score based on those combined factors, so you’re only reaching out when timing + fit + intent align.
That’s why reply rates are dramatically higher compared to cold lists.
Congrats! The "scraping random leads" problem is super on point 😅.
One thing I've noticed: personalized outreach works way better when the sender actually has a LinkedIn presence. Otherwise, it's just "random person with nice message."
Do you have any data on whether your users' personal brands affect reply rates? I'm curious also because I'm building PostGod, which is focusing exactly on this personal branding side of things for LinkedIn.
Gojiberry AI
@ruxandra_mazilu We only target people with a LinkedIn presence; that's why there are high-intent leads.
Congrats on the product and the launch!
QQ: The "intent first, message second" approach makes sense, but how do you filter false positives? Like, someone liking a competitor's post could mean they're evaluating options, or it could just mean they thought the post was interesting. How do you weigh different signals to avoid chasing people who aren't actually in buying mode?
Gojiberry AI
@andreitudor14 We have a self-learning system, which means if we find a false positive, it won't happen twice.
Great idea! Is there pricing for solo founders or startups? $100/mo is steep for most people.
Gojiberry AI
@jaceperry It's for both. But there is a 7-day free trial. Plus, you can use the promo code PH10.
the agent setup space is getting crowded fast which honestly just proves how broken the default experience still is. curious what happens after setup here...is there monitoring or alerts when an agent stops working or burns through tokens?
Gojiberry AI
@tina_chhabra We don't have any tokens. It is a fixed price.