Launching today
Sales teams have been stuck with stale databases for 15 years. Jesse changes everything.. the first internet-wide search engine built for sales & marketing. Ask in plain English: "Find newly opened soccer facilities in the Midwest needing turf solutions." Jesse scans the live web and finds the right buyers in the market today. We are an anti database company, we don’t scrape and store stale databases and sell them at premium. Every lead is found fresh from the live internet and delivered.
Hey Product Hunt, Ritesh here, one of the makers.
We built Agent Jesse around one uncomfortable number: B2B data decays about 2% a month, so any static lead list is partly wrong the day you export it.
So Jesse doesn't query a snapshot. It retrieves against the live web at query time, ships every row with the source URLs it came from, and runs a self correcting loop that keeps re-sourcing until it hits your target.
As of this week it also goes where you work: an API key drops it into n8n, and an MCP server connects it to Claude, ChatGPT, or Cursor, so you can just ask for leads in plain English.
We are still actively shaping what comes next, so I would love to hear: where does your current lead data let you down most?
Happy to go deep on how the retrieval or verification works.
Nektar
Cool product. Do you integrate with a CRM directly and can find leads based on winning deals signals/painpoints/characteristics?
@abhijeet_vijayvergiya
Thanks. Two parts to this.
On winning-deal signals: yes, this is core. Hand Jesse a set of your closed-won accounts and it runs a lookalike search, finding companies that match the characteristics of what already wins for you, and you can fold pain points and traits straight into the criteria. So "more like my best deals" is exactly a usecase we solve for.
On CRM: not a native sync yet. Today you get leads in via CSV, or through our new n8n integration using n8n's HubSpot and Salesforce nodes. A direct CRM connection, pushing leads out and pulling winning-deal signals in automatically, is what we are building next.
Which CRM are you on? That helps us prioritize the native integration.
Most of our buyers are pretty active online, so this should work well. But how Jesse handles signal quality when the web footprint is thin like a company that exists but rarely posts. Does it still rank them, or filter them out?
@amanpreet_zop
Good edge to probe.
Jesse ranks rather than hard filters, so a real but quiet company still shows up as long as there is enough public signal to confirm the match.
A thin footprint usually just means a lower score and a shorter rationale, not exclusion, and every result carries the evidence we actually found plus a source, so you can judge the borderline ones yourself instead of us dropping them silently.
The honest boundary:
If a company has effectively no public trace, there is nothing to ground on, so it will not surface, and we will not pad the list with guesses to hide that.
If they are quiet online, no problem. If there is nothing online at all, that is the only case we cannot find them.
Mailwarm
How do you verify the leads are actually newly opened and not just old pages getting reindexed?
@thamibenjelloun
Thanks.
Sharp question.
We anchor recency on the dated signals in the source itself, a funding date, a role start date, an article's publish date, not on when a page was crawled.
A reindexed old page keeps its original dates, so a recrawl does not make it look fresh.
The honest limit is undated or evergreen pages, where age cannot be read from the content. We do not stamp those new, they land with a low relevance score and the source attached, so they rank near the bottom and you can see the signal is weak rather than us passing it off as a confident fresh lead.
A structured recency check, filtering to genuinely changed in the last N days, is what we are building next.
Searching the live internet instead of pulling from static lists is a big deal for anyone doing outbound. How fresh is the data — are we talking real-time crawls or is there some caching involved?
@doganakbulut
Thanks.
We do not cache nor use any static list.
Every search reads live web sources the moment you run it, so freshness equals whatever is public right then.
It is live search at query time and not a stored snapshot.
If you run it again tomorrow and it researches from scratch.
Interesting positioning. How do you balance 'live internet search' with getting consistent, structured lead data at scale?
@workout097_collab Thanks for the support. We are doing it by first running every query via our live internet search data. Then we cross-reference the same through the structured databases that we have connected on the backend. This gives us two distinct advantages:
1. We are able to first get the live and correct data from the internet so that we always get the most recent output.
2. We are able to cross-reference the same with structured databases and provide you an output in a structured manner.
This is the most unique feature of Jesse that no one else in the market right now is utilizing.
I did a people search but there is no contact information or LinkedIn profiles. Am I missing something? I’m on the free plan.
@jill_camhi_osinoff Yes, we provide contact information and LinkedIn profiles when you enrich. That feature is right now available starting from the base plan, which starts at $5.
In our next launch, we are also adding a preview feature where a few of the contact information and details will get available even in the free plan. This way, the product becomes more transparent, and our customers have more confidence in the product to move to the higher tiers.
Thank you for the suggestion. Will implement it right away.