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.
Intent-based booking is the real delta here. Most outbound tools optimize for volume. More meetings, more pipeline. Booking from genuine buyer signals means the rep walks into a call with a prospect who's already in evaluation mode.
The part that gets harder as demo volume scales automatically: demo environment readiness. When a meeting can appear on a rep's calendar with little lead time, you lose the window to prep. In practice that means showing up with whatever's in the sandbox, which sometimes includes real customer data if it was seeded from prod, or API credentials sitting in settings panels nobody thought to check.
Curious whether you've seen teams build "always demo-ready" protocols around this, or whether it's still handled ad hoc by each rep.
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?
How did you come up with the name Gojiberry? It's interesting...
Is this tool only useful for b2b? I sell a service to people. Not to businesses. So I would sell b2c
@roman_cz Congrats on the PH launch. I'm a happy client and the Goji team is great. Break out that digital card and get signed up you wont regret it.
After spending an hour with one of the founder, Romàn (in this podcast) I can only recommend Gojiberry even more!
Congrats on the launch guys, it will solve a real pains in sales motion B2B mainly, does it offer AI mapping to our target ICP?
Such a cool product btw! What’s the average lag time between the trigger (e.g., job change, funding) and when Gojiberry surfaces it?
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.
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?
Going to check it our now! I started building a similar solution, but this is much better :)
Congrats on the launch!
How is it different from Clodo AI? I'm interested in trying it out.
Congrats on the launch! I have a question regarding how you handle privacy concerns since your ICP profile modeling requires data like profile views and content interactions.
This is super interesting focusing on intent over volume makes a lot of sense
Curious — with tracking signals from platforms like LinkedIn and automating outreach, how are you handling things like data privacy and account safety?
Especially avoiding issues like platform restrictions or unintended access risks
I know Gojiberry from long time (not personally), first from reddit couple of months, this is one of the rarest indie products to launch on PH with significant MRR - over $80k as per TrustMRR, Congrats to them.
Great idea! Is there pricing for solo founders or startups? $100/mo is steep for most people.
Congrats on the launch! Does the AI handle follow-ups if a lead doesn't book a demo immediately?
This is solving a real pain point. Cold outreach has always felt like shouting into a void, the intent signal approach makes so much more sense.
Curious about one thing, how do you handle signal accuracy? Like if someone liked a LinkedIn post about "sales tools," does Gojiberry flag them as a buyer, or is there more filtering happening behind the scenes to reduce false positives?
Also the "one prompt to build a lead list" UX sounds really clean. Is that powered by a custom model or GPT-based?
Congrats on the launch, B2B teams are going to love this!
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 🚀