GojiberryAI - AI agents turning high-intent leads into booked demos
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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.
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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
Breakcold
These guys are the best at solving a problem that nobody solved well, at a right price in that space AND they build an integration with Breakcold :)
Go try it! GG @roman_cz @pierre_eliott_llt @dylan_teixeira
Gojiberry AI
@pierre_eliott_llt @dylan_teixeira @arnaud_belinga1 Thanks a lot, Arnaud. We are doing our best, and Breakcold is a great product that a lot of our customers use, so an integration was a no-brainer !
Gojiberry AI
@roman_cz @dylan_teixeira @arnaud_belinga1 We love working with Breakcold Arnaud!
TabAI
Saw this launch as soon as thought expanding my product for b2b, gonna try it! congrats on the launch
Gojiberry AI
@igor_martinyuk Thank you for your message Igor ! If you need anything, you can ping us on our website or by email.
Gojiberry AI
@igor_martinyuk It'd be a pleasure to see you soon on Gojiberry AI!
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!
Gojiberry AI
@alamenigma Love this question, that’s exactly the right skepticism to have.
On signal accuracy 👇
We don’t treat a single lightweight action (like one random “sales tools” like) as buying intent.
There’s a big difference between:
Weak signal
Someone liked a broad industry post once.
Strong signal
Someone repeatedly engages with a direct competitor, comments on implementation content, recently changed into a relevant role, and works at a company hiring for that function.
Gojiberry scores signals based on:
• Specificity (generic topic vs competitor-level engagement)
• Frequency (one interaction vs repeated behavior)
• Context (persona + company ICP fit)
• Recency (fresh signals weigh more)
• Signal stacking (multiple signals compound the score)
So instead of binary “buyer / not buyer”, it’s probabilistic. A single soft action won’t trigger outreach unless it aligns with strong ICP fit and other reinforcing signals.
That’s how we reduce false positives and avoid the “everyone who liked SaaS = hot lead” trap.
On the “one prompt lead list” UX 👇
It’s not just raw GPT on top of a database.
We combine:
• Structured data filters
• Signal engine
• ICP modeling layer
• Then an LLM layer to translate natural language into structured queries + refine targeting
So when you type something like:
“AI-native B2B SaaS hiring for sales and engaging with Apollo”
It gets converted into a multi-layer rule set behind the scenes.
The LLM is the interface.
The intelligence is in the signal + scoring engine.
Really appreciate the thoughtful questions, this is exactly the type of detail B2B teams care about.
Tugan.ai
amazing product, made by an amazing team
LFG
Gojiberry AI
@axel_marketing Thanks a lot Axel !
Gojiberry AI
@axel_marketing thanks a lot :)
Scrap.io Maps Connect
Nice app and a very serious team 💪
Gojiberry AI
@sebastientissier Thanks a lot Sébastien !!
Gojiberry AI
@sebastientissier Thanks Seb!
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.
SyncSignature
Been seeing yall a lot on socials. very well cracked the game! All love and support :) Would love to learn a thing or two :) @roman_cz @pierre_eliott_llt @dylan_teixeira
Gojiberry AI
@pierre_eliott_llt @dylan_teixeira @neelptl2602 Hello Neel ! Thanks for the kind words !
I'd love to answer all your questions !
Triforce Todos
Love the idea of automating intent instead of spam. Feels like the right evolution for modern sales teams 🚀
Gojiberry AI
@abod_rehman Thank you so much for your comment, Abdul. Intent leads convert way better than random leads, and this is the right evolution for the sales teams !
Gojiberry AI
@abod_rehman Thank you for the support!
Adjust Page Brightness - Smart Control
another day another gold!
Gojiberry AI
@kshitij_mishra4 Thank you boss !
Gojiberry AI
@kshitij_mishra4 Thank you!! Appreciate the support