Jesse - Stop building Apollo/Clay lists. Search the live internet.
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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.
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Jesse
Hey Product Hunt! 👋 I’m Sudipta, cofounder of Floworks.
Quick intro: I’m an IIT-Kgp grad. My first startup failed — and what stung was the reason. Not the product. We just couldn’t crack sales.
So I started Floworks and got into Y Combinator. Different company, same ghost: sales never got any easier.
We were spending hours building lead lists, only to discover half the people had changed roles, the signals were outdated, and the best accounts were hiding in plain sight.
So today we’re launching something close to my heart: @Jesse — a modern prospecting tool for GTM teams.
Think of it as a search engine, but for finding your next 100 customers.
Apollo and Clay scrape data once, then sell it back at a premium. By the time it reaches you, it’s stale — titles changed, companies pivoted, signals came and went.
Jesse searches the entire live internet on every query and hands you fresh leads.
We’re an anti-database company.
What’s more 👇
Apollo gives you 8–10 filters. Clay makes you wire up data sources. Jesse just works.
Write in plain English:
🔎 “Looking for healthcare providers who just opened chemotherapy centres”
🔎 “Find me 100 kids’ play facilities that just started a football academy and are seeing high footfalls”
Jesse tells you which signals to look for.
Building a fintech for debt collection? Jesse surfaces:
🎯 VPs of Risk at mid-sized NBFCs ($5M–$50M ARR) posting about defaults / hiring underwriters — want real-time alternative credit-reporting APIs
🎯 VPs of Compliance at digital neobanks (50–200 emp), newly appointed, replacing manual KYC/AML with a consolidated real-time API
🎯 CTOs at Series A/B fintechs (100–500 emp) tired of juggling vendor APIs — want one unified identity + credit + AML API
AE with named accounts every quarter?
🕵️ Jesse finds the right people inside those accounts by reading decision-makers’ real online activity — posts, public appearances, forums
A daily barrage of fresh leads, delivered to your inbox every morning. 📥
Since we launched, the adoption has been incredible:
🚀 1.2k+ teams signed up
🌍 From a real estate agent in Florida, to a fintech founder, to 4 Fortune 500 companies and one of the largest logistics companies in the world
📈 50%+ WAU/MAU
🔥 A constant rave across sales communities
These are still early days. I get a ton of messages from Jesse users on what to improve, and I personally read and act on every one.
I’d love your feedback — especially from founders and sales leaders who’ve lived the pipeline grind. What’s the most painful part of finding good leads for you? Happy to answer any questions! 🚀
Thanks, Kevin, for hunting our product. Hi everyone, I am Sarthak, one of the Cofounders at Floworks.
We built Jesse to help sales teams run precise outbound.
Jesse is an AI agent that connects to 180+ data sources and the entire internet.
It finds you the perfect list with any filter or intent signal - all from a simple prompt.
What Jesse knows about your prospects:
Funding rounds
Page visits
Products they're using
Team's preferred tech stack
Intent signals no one else has
And everything else there is to know
One of the great testimonials we received from a customer:
"It's like having an insider in each prospect's office."
Please take Jesse out for a spin, and share your valuable feedback. I am sure with all your support, we will fix what is broken in outbound.
Congrats on the launch! The biggest pain point with tools like Apollo or Clay has always been how quickly the data decays. Doing live web research at query time sounds like a game-changer for timing-sensitive outreach. Looking forward to taking this for a spin! Do you have any n8n/MCP integration to be used with Clade code?
Jesse
@kevin We are live on n8n as an approved template. MCP coming next week. API is already live for those who want to integrate in their own application.
@kevin Hey Kevin, thanks for hunting us on ProductHunt. Great suggestion, as @sudipta_biswas4 mentioned, we have gone live with both the n8n/MCP integrations. This is especially important for us as most of the modern GTM teams are building their stack on Claudecode and this way they can just plug-and-play with Jesse.
We are also planning to launch direct integrations with other outbound tools like:
1. Alisha - the outbound engine of Floworks
2. Instantly
3. SendGrid
And CRMs of the like of Salesforce, Attio and Hubspot for smoother transition of leads in your GTM flow.
Please let us know if you think any other workflows could be of interest. We would love to look into them.
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.
Foyer
The pitch makes sense if the core problem is list staleness, but I'm curious what "live internet" actually means in practice for sales data specifically. Are you pulling from public web sources in real time, or is there a database that gets refreshed on some cadence? That distinction matters because a lot of "live" tools still have a 30-90 day lag on job changes and funding rounds, which is exactly when the timing-sensitive outreach breaks down. Also wondering how Jesse handles signal prioritization, whether you can filter by something like "title changed in the last two weeks" versus just searching by current role.
@fberrez1
Good question, and the distinction matters.
We runs live, grounded web research at query time.
It is not a pre-built database that goes stale between refreshes.
When you run a search it goes out to public sources right then and reasons over what is currently there, so there is no fixed 30 to 90 day snapshot lag baked in.
An honest caveat:
Freshness is bounded by what has actually gone public.
A funding round or role change that has hit the web (news, company site, LinkedIn) is catchable as soon as it surfaces. Anything not yet public, we will not invent.
On prioritization:
Today you encode recency in the criteria itself, for example "VP of Sales who recently changed roles at Series B SaaS," and the search pulls on whatever recency signals are publicly visible rather than just matching a current title.
A built-in recency filter, like a "changed role in the last two weeks" toggle, is what we are building next, so time-sensitive outreach runs off a real signal instead of how you worded the search.
@fberrez1 @ritesh2503 The recency clarification is key - anchoring to signal date vs crawl time is a big difference. Reindexing old data doesn’t make it fresh.
Do users naturally think in terms of these signals, or is that still a shift from how they’re used to searching?
@fberrez1 @jared_salois Good callout, and you are right that it is a shift.
Most users today are still conditioned to search by static attributes like title, company, or industry because that is how traditional databases are structured. Thinking in terms of signals like “just changed role” or “recently raised” is not yet the default mental model.
What we see in practice:
Users start with role or company filters, then layer in intent or recency once they understand the capability. The highest-performing searches tend to be signal-first, but they usually require a bit of prompting or examples to get there.
So part of the product is not just retrieval, but education:
We guide users toward phrasing that encodes timing and intent, not just identity.
Over time, this shifts behavior from “who fits this ICP” to “who is most likely to engage right now.”
And to your point, anchoring on signal date instead of crawl time is what makes that shift actually valuable. Otherwise it is just a fresher-looking database, not a better one.
@fberrez1 @jared_salois
Honest answer, it is a shift, and we see it clearly.
Most users arrive with the filter muscle from Apollo or SalesNav, so their first prompts are generic out of habit, "VP of Sales at Series B SaaS," attributes, not signals. The plain-English box lowers the barrier, but it does not change how people think on its own. The click happens the moment someone realizes they can describe a situation, "who just changed roles," "right after a raise," not only a static profile. That realization is a behavior change, and we treat earning it as our job, not the user's.
So we meet them halfway. Example prompts and suggestions surface signal-rich queries, so the pattern is shown rather than assumed. And the recency toggle we are building doubles as an adoption bridge, it gives a filter-trained user a handle they recognize while the signal does the work underneath. Over time I think signal-based searching becomes the default, but we are not pretending users land there on day one.
As someone who has used Jesse first-hand, I can say they are really, really good. I’ve tried many products that promise to use intent signals to build lead lists with just a prompt, but the list quality usually turns out to be quite poor. Most of them feel like LLM wrappers on top of traditional lead databases.
Jesse felt different. They seem to understand real intent and match it with actual buying signals. We used to run email campaigns to hundreds of thousands of leads, mostly with poor reply rates. But when I used Jesse, it clearly helped us identify which leads were actually relevant - allowing us to go much deeper on personalization and get ridiculously high reply rates.
Highly recommended, and congratulations to the team on the launch.
@upendra_varma Thankyou for such honest feedback. Really appreciate your support in growing Jesse. With Jesse we aim to change the way outbound is being done and I can honestly say, it's for sales leaders like you, we have built Jesse.
I would say you should also try out our two flagship features:
1. People Search - To try and identify prospects at a persona level. It helps you find prospects emitting signals around your need
2. Look alike search - First of its kind look alike search built not on static databases but rather on dynamic internet-based signals. This is specially helpful to curate similar looking lists that have already worked for you.
I am sure we will hear more from you as we keep building Jesse. Thanks for all your support
Voquill
The live web approach is a refreshing take. How often does it refresh or validate lead signals? Congrats!
Hi @henry_habib thanks for the support. It refreshes every time you are creating a new list. Every time you are creating a new list, you provide the right prompt to the agent, and the agent goes to the internet to find out those leads live for you. That means whatever is the new correct information available on those sources, it gets updated. We have a few trusted and verified sources, likes of LinkedIn and other much more active and verified portals. We give a weighted average to these different portals according to their verification status to always give you the most accurate information at all times.
Hopefully this answers the question.
@henry_habib
Thanks.
It refreshes on every new list, the agent goes out to the live web in that moment, so you get whatever is currently accurate on the sources. We weight trusted, verified portals like LinkedIn by how reliable each one is, to keep results as accurate as possible.
Scoutflo
This is such a cool product! Clay was super hard for me to use.
Is there a free trial to get started?
@kalpesh_bhalekar1 Thanks for the support. Yes, we have provided a free trial to all our customers to try out Jesse. Even then, after we start with base plans at just $5/month, they can go up to $100 according to your requirements and needs.
So proud to see Jesse out in the world today. 🚀
I've watched the team pour everything into this, late nights, endless user calls, and a stubborn refusal to ship just another stale database when the whole industry said that's just how it works.
The live-internet search is genuinely wild, but what I'm proudest of is how obsessively we listen to users. Every piece of feedback gets read and acted on, and it shows in how fast this thing keeps getting better.
If you've ever burned an afternoon building a lead list only to find half of it was wrong — this one's for you. 🙌
@gautham_madhavan This is beautiful- huge congrats to the whole team for the launch and on building something that actually solves the stale-list pain so many of us have lived through. The live-internet search is the real delta, and the fact that you’re obsessively listening to users and shipping fast is what turns “wild concept” into “daily tool.”
I’ve burned way too many afternoons assembling lists that go half-bad before outreach, and Jesse’s approach is exactly what SDR teams need to stop that waste.
Let’s get Jesse into Top 5 of the Week.
I have seen my fair share of stale leads and contacts so great job for focusing on an unsolved problem. What markets do you focus on? Are there ones that are stronger or weaker? Interested in learning more. Congrats on the launch.
@yumi_joh
We are not locked to one vertical. Because Jesse reads the live web per search, the real dividing line is web footprint, not industry or geography.
It is strongest wherever your targets leave a public trail, B2B tech and SaaS, funded startups, anything with news, funding, hiring, or active profiles, all easy to find and rank with a solid rationale. The tougher cases are low web-footprint targets such as very tiny local businesses, stealth-mode companies, low-digital-presence industries or regions, where signal is sparse so results come back fewer and lower confidence.
Widening that thinner end is what we are working on now.
Happy to go deeper. What market are you selling into?
I will tell you honestly how strong a fit it is.
@ritesh2503 thanks for the complete response and great to know that there is no boundaries on geography. My ICP will leave a trail of information so with this information, I'm excited to give Jesse a spin.
@yumi_joh Thanks for the support. Yes we do work better for markets that is unexplored / not easy to find on traditional databases like Apollo and Zoominfo. These will be the non-digital markets from traditional industries like:
1. Manufacturing
2. CPG, D2C, ecommerce
3. Finance
etc
We also work better for geographies where the coverage is poor such as APAC, Middle east etc.
Since these are hardest to curate in traditional databases and were only accessible by having a person comb through google searches and build the list, we made them a staple usecase for Jesse.
That being said, it gives equally good results for other markets that you might be exploring.
@sarthak_shrivastava2 Gotchu. Will give it a go and see how prospecting looks from Europe. Thanks
@yumi_joh Loving it, let me know how your results have been for EU. We are aiming for a Global solution. EU would be a big market for us for sure!