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.
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We were spending hours building lead lists, only to discover half the people had changed roles, the signals were outdated, and the best accounts were hiding in plain sight.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! 🚀
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
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.
I tried the tool, and overall I think you are addressing a real pain point, which is great.
My first point of confusion was the naming. The app is promoted as Jesse, but the website address and logo say Floworks. That may be confusing for customers and could make the brand feel less clear.
Second, I went through the process and asked for SMBs, but the results included companies with valuations around $2 billion. That made it feel like Jesse did not fully follow my target group.
Third, I tested the product on the free plan. At the final step, Jesse told me that 75 contacts were found, but I could not see any names or details. To attract more users, it might be helpful to show a sample of the contacts, or at least show names without email addresses, so users can better understand the value before upgrading.
Overall, it is a nice product with a clear use case. These small changes could make the experience more consistent and compelling.
@mohammad_efazati Thanks for the support.
Yes, the parent company's name is Floworks, although the product that we have launched is Jesse. We wanted to keep it standalone to see how it fares against the other products standalone. But I see now that this experiment has become successful, so we will integrate the entire website and the product back to the parent company's page, which is Floworks. Point taken. It actually doesn't look legit; it feels more like a secondary company right now.
For your second part, let me have a look. I think what we need to define, when you are putting in SMBs, is what is the size of SMBs you are looking for, but in any case, it should not have shown you companies which are worth $2 billion. We are thinking of putting in the next update and suggested filters or suggested keywords that users should use to make Jesse fully understand your query.
For your third point, I totally understand, we are also running experiments on the right pricing strategy. Currently, we are offering this at the base plan, which is starting at $5. But I agree showing a few contacts and names in the free tier will definitely help boost the transparency and gain confidence of customers to go to paid plans.
Thanks for all the valuable suggestions. We'll get to implementing ASAP.
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.
This would solve so many problems in prospecting! I normally have to go over multiple surfaces (LinkedIn / X / funding announcements) to find my target customer! What data sources do you use?
@prasoon_shukla2
That cross-surface hunt is exactly the manual work Jesse is built to collapse. Instead of one fixed list, it reads the open web at query time across the surfaces you named, public profiles, social, news and funding coverage, company sites, and synthesizes them into a single ranked result with the reasoning attached.
On top of that we layer a dedicated contact enrichment step for the email and outreach details.
In short: It reads the live public web fresh on every search, instead of pulling from one fixed database. That is the whole point, the cross-surface digging you do by hand now happens in a single search.
Jesse
@prasoon_shukla2 Essentially, anything and everything on the open internet (including forums like X, LinkedIn) are accessed by Jesse.
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.