LLM Leads
FLEET LIVE/ 63 profiles/ 76 machines/ ~2612 AI decisions a day

We run your LinkedIn outreach.
You get the replies.

Tell us who you want to reach and we do the rest. An AI works each profile day by day, finding people who fit your ideal customer, viewing their profiles, engaging with their posts and sending connection requests. Every profile runs on its own physical Windows machine and residential IP in our office, and the accepted connections and replies come to you.

No card needed. Tell us who you sell to and we will show you the messages our AI would send your prospects. Add a mobile number and a line about your business and your first preview is written straight away. We may call you to help set things up.

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+5 more running · no actions today—

Our own fleet over the last 24 hours. Each row is one physical machine with its own residential connection. Account names and full IP addresses are hidden.

Why it works

Other tools give each account its own IP address. Their accounts still get restricted.

An IP address is only one part of the setup. On cloud platforms, thousands of profiles share the same servers, the same browser build and the same code, with a separate IP in front of each one. We give every profile a whole machine of its own.

Cloud automation Shared machine

  • Its own IP address, but the same cloud servers, browser build and code as every other account.
  • Canvas, WebGL, font and audio fingerprints repeat across every account on the platform.
  • Built for volume: 20 to 75 invitations a day, with advice to stay under LinkedIn's limits.
  • Fixed sequences that run the same steps, in the same order, for every prospect.
  • You set it up and run it yourself, and a restricted account is your problem.

LLM Leads Dedicated machine

  • One physical Windows machine per profile, in our office, never shared or resold.
  • Its own browser on its own hardware, so its fingerprint belongs to that machine alone.
  • Its own residential line, so the account signs in from the same place for months.
  • An AI plans each profile's day: who to view, what to engage with and when to stop.
  • We operate it. If a profile has a problem, our team fixes it.

Results

What our own accounts have delivered so far

These numbers come straight from our production database, from the LinkedIn profiles we run for our own sales. We launched this month, so there are no client case studies yet, and we will not make any up. This is the fleet we built and run, and these are its real results.

76
dedicated machines, 72 carrying a profile, 63 live today
22,808
prospects found and scored
8,234
connection invitations sent
2,976
connections accepted (36%)

36% of every invitation we have ever sent has been accepted, counting the 4,112 still pending as not accepted. Invitations need time to land: 43% of the 3,585 we sent more than 14 days ago have been accepted. Dux-Soup's own guidance calls 20% or more a good acceptance rate.

A week of activity, by action

37,181 completed actions across 61 profiles in the last 7 days. The nine most common actions are shown.

search_people
11,295
open_profile
7,124
read_activity
5,493
like_post
3,477
read_feed
2,528
connection_request
2,385
message
1,600
read_notifications
1,243
comment_post
826
Only 11% of what the fleet does is asking for something. That is 3,985 invitations and messages out of 37,181 actions. The other 89% is reading profiles, following activity, liking and commenting. Most tools sell the opposite mix, 20 to 75 requests a day and very little else. There is no invitation number for you to set: the AI picks each profile’s pace every day based on how that account is doing.

Our office

The room your profiles run in

Most tools in this category run thousands of LinkedIn accounts through shared data-centre proxies with one browser fingerprint. We run ordinary Windows desktops in our own office, one machine per profile, each on its own residential line. These photos are of that office.

A row of desktop computer towers on white tables, each beside its own
                  router, in an office corridor.
Every machine sits beside its own router. Nothing here is virtualised.
  • One machine per profile Your LinkedIn profile signs in on a physical computer that runs nothing else. It is not a container or a headless browser on a server, and no other customer shares it.
  • Its own residential connection Each machine has its own consumer internet line. Those are the white boxes in the photo.
  • Staffed during working hours The machines share a floor with our team. When one gets stuck, someone walks over and fixes it, so a stuck profile is usually sorted the same morning.
  • 76 machines built, 72 carrying a profile, 63 live today, 58 working Those are four separate numbers. 76 dedicated machines are on this floor’s network; 72 of them carry a LinkedIn profile; 63 of those profiles are live today, and 58 completed work in the last 24 hours, such as viewing profiles, following activity and sending invitations. The other 5 did nothing today: most are new profiles that only find prospects and contact nobody yet, and a few are paused while we sort out an account issue. The 9 machines that carry a profile but are not live are between accounts. The remaining machines are built and waiting for their accounts. The building has about 3,000 desktops and we put one profile on each machine, so taking on more profiles means setting up hardware we already own. Every fleet number on this page was measured on the date at the bottom of the page.

A walk down the aisle

One desktop per profile, each with its own router beside it, all the way down the row.

Cloud tools cannot show you a room like this. Their accounts run as containers behind a shared data-centre proxy. Ours run on the machines in this video.

An office aisle lined with desktop towers and routers.
The main floor
Desks with desktop computers and monitors in a large open office.
Workstations, mid-shift
A wide view of an open-plan office with many workstations running.
Looking across the floor
Rows of desks and computers stretching to the back of the office.
Room to grow into

Our own office. It is a working floor, so most of the computers you can see are our team’s everyday desktops. 76 of them are dedicated to the LinkedIn fleet, and 63 of those were running a profile today. Around 3,000 desktops sit in this building, and at one profile per machine that is how far we can grow before we need another floor. We would rather show you the real numbers (63 running, 76 built, about 3,000 available) than a staged data centre.

Pricing

Pay per profile, per month. No seat licences and no platform fee.

You only pay for working profiles. A profile counts as working when it is signed in, warmed up and producing.

$149
per profile / month
  • Dedicated Windows machine
  • Dedicated residential IP
  • AI-paced warm-up for new profiles
  • Daily operation, run by us
  • Replies routed to your inbox
  • Monthly rolling
Founding clients: 10+ profiles
$99
per profile / month · 10+ profiles, 12-month term
10 profiles cost $990 / month and 30 cost $2,970. So ten profiles on this plan cost less in total than nine at the standard rate: $990 against $1,341.
  • Everything in the standard rate
  • Prospect sourcing against your ICP
  • Connection requests and follow-up messaging
  • Restricted accounts replaced at no charge
  • Weekly reporting on every profile
  • Your LinkedIn accounts or ours

Pay by card and we start building. You will need an account first, the same one you use for the free preview.

You may have already seen it working

We sell the same system we use for our own sales. Every profile on our floor is ours, running on our machines and residential lines, and the AI writes their connection notes and comments the same way it would write yours. If a connection request, comment or post from an LLM Leads profile brought you here, you have already seen the product at work.

You can check it yourself. Our company page is linkedin.com/company/llm-leads-io, and every fleet number on this page comes from our production systems, with the measurement date at the bottom of the page. Ask us for the raw data on a call.

To be upfront: we launched this month, we have no client case studies yet, and we will not invent any. No provider in this category can promise your accounts will never be restricted. We make it much less likely, and when it happens we replace the account at our cost.

FAQ

Questions buyers ask before they sign up

Other tools already give each account a dedicated residential IP, for less. What am I paying for?

A whole machine for every profile. Ask any vendor: does each account get its own machine, its own browser, its own device fingerprint? On every cloud platform the answer is no. Thousands of accounts share one environment and one code path, with the IP split off in front of it. One competitor states plainly that they own no physical servers, and another tells buyers not to worry about separate browser instances. We run one physical machine per profile, and there are roughly 3,000 machines in this building, so we can take on an order for a hundred profiles with hardware we already have.

Other tools send 75 invitations a day. How many do you send?

There is no fixed quota. The AI decides each profile’s invitations every day from what it can see: how old the account is, how its invitations are being accepted, and whether LinkedIn has pushed back. Most of what it does is ordinary browsing. Volume is what gets accounts restricted, which is why high-volume tools pair their number with advice to stay under LinkedIn's limits. If raw volume is what you want, a cheaper tool will give it to you, for a while.

Will my accounts get restricted anyway?

Some will, and anyone who tells you otherwise is overselling. LinkedIn restricts accounts for reasons that have nothing to do with you, and the rate is never zero. What we control is how often it happens and what happens next. Dedicated hardware and human pacing keep it low. An account placed under identity review is left completely alone. Any account that is restricted gets replaced at our cost, so you keep the number of working profiles you signed up for.

Is this against LinkedIn's terms of service?

Yes. Automating LinkedIn is against their User Agreement, and that is true of every tool in this category, including the well-known platforms. What we do is reduce the exposure with real hardware, real residential connections and human pacing, and most of what each profile does is ordinary use. Go in knowing that.

What does the AI actually do?

It plans each profile’s day. Instead of running a fixed sequence, it looks at that profile’s situation, including who it has already spoken to, what its prospects have posted and what worked last week, and chooses the next actions: whose profile to view, which post to engage with, who is worth a connection request, and when to do nothing. It also writes the messages and replies. Those are the AI decisions counted in the live figure at the top of this page, measured over the last seven days.

What do I actually get?

Accepted connections and replies, routed to your inbox or CRM as they arrive, plus weekly reporting per profile: invitations sent, accepted, messages and replies. You see the same numbers we do. There is no dashboard for you to learn or operate. We run it, and you can watch a live one any time. There is no seat licence and no proxy to configure.

Get started

Tell us who you sell to.

Send us your ideal customer and how many profiles you want running. We will come back with a ramp-up plan and a start date, usually inside a week, because the machines are already built.