NeuraFinity NeuraFinity Setter

The AI operator that runs your LinkedIn.

A full time SDR on your LinkedIn without anyone on your payroll. It finds your buyers, opens in your voice, handles every reply, and books the call while you sleep.

980Conversations run
43.2%Replied
0Captchas in 2 months
v0.17.6Shipping today
Pre-seed  Raising $150K
Built in Pakistan, sold in dollars
July 2026
01 The problem

Two ways to get pipeline. Both cost you.

Option one

Hire a human SDR

Six figures fully loaded, months of ramp, and they leave inside eighteen months with your playbook.

Option two

Buy LinkedIn automation

One template to everyone. No memory, no judgment. Built on APIs the platform detects, so the account dies and the pipeline dies with it.

Human SDR, loaded
$120KM
Setter, full time seat
$10.8K

Cost per year. The seat price is real, the loaded rep cost is a US market estimate.

02 The product

One install. It runs the whole top of your funnel.

01 It finds them

Prospecting and intent

Your exact buyers by title, industry and geography, plus six surfaces watching for people voicing the pain you solve.

02 It talks to them

Six stages, in your voice

Opens, warms, handles objections, drops your proof, asks for the call. Sounds like a person.

03 You get the call

Booked, then confirmed

It lands on your calendar, and the moment it does Setter stops selling and starts confirming.

One clean input from you. When a reply genuinely needs judgment, it drafts a response and pauses that one lead for your eyes. Your edit becomes a rule.

Eight step onboarding. The one that matters is voice: paste a few real DMs you have sent and it learns to write like you.

03 How it works

Five jobs, every cycle, warmest first.

01
ConverseReplies, new accepts, comment threads. Calls get booked here.
02
EngageComments that warm tomorrow's pipeline.
03
Follow upA new angle on quiet threads. Never a bump.
04
ProspectFind ICP owners and score intent signals.
05
OutreachRequests and first DMs, last, so accepts land overnight.

A a fresh agent every 25 to 45 minutes, re-reading a plain text playbook it cannot drift from, driving your own signed in Chrome. Change how it sells by editing a sentence.

04 Why it wins

It reaches buyers the moment they say they are ready.

Post searchReactor harvest Job postsTrigger events Competitor pagesComment mining
Fit gate

Title, industry, geo, size

Score

Specificity × urgency × ask

Tier 1

Worked the same loop

Six surfaces, two rotated per loop, weighted by which ones actually produce replies.

And it rewrites its own playbook

Analyst

Reads the leading indicators.

Proposers

One surgical fix at a time.

Critic

Tries to refute it.

Synthesizer

Applies it, self reverts if a number drops.

Safety limits are the one thing it can never edit. Every install compounds on its own market, which is not something a competitor copies in a quarter.

05 The moat nobody talks about

Your account stays alive. That is the whole ballgame.

0Captchas hitIn two months of daily volume
0RestrictionsNo account ever limited
0Warning bannersThe only signal that matters
980Threads workedAcross that same window
Surface

Keystrokes in the customer's own Chrome. Not a bot browser, not an API.

Pacing

20 to 60s between requests, 30 to 90 between DMs, always randomized.

Ceiling

Caps match what the platform enforces, in a file the loop cannot touch.

Failsafe

Any banner or captcha ends the session instantly and logs it.

06 Traction

980 real conversations. Not a simulation.

Conversations opened
980
Replied at least once
423 43.2%
Two or more replies
163 16.6%
Three or more replies
86 8.8%
Active follow up queue
731 74.6%

Templated cold outreach lands in the low single digits. 423 of 980 humans wrote back, and 86 of them went three or more replies deep.

Commits per active shipping day · 42 releases · 23,042 lines of product code

Source: the live workspace database, 29 July 2026. 731 threads are queued for the next follow up, and 225 sit on the prospect's last message.

07 Proof

Real replies, straight out of the inbox.

I know AI is a big thing now and can definitely help to eliminate some of the mundane daily tasks. What does your company do?

Danielle M. · reply to a cold opener

I may be able to refer you to one of my clients who needs automation. Meeting with them next Wednesday.

Tod L. · now at stage 4

Reach out to my marketing head please. She is the one deciding on those kind of vendors.

Giorgi G. · routed to the decision maker
Asked to see more
82
A call was proposed
34
Offered a referral
18

Sorted by what the prospect actually asked for, across the same 980 threads. One thread can land in more than one row.

Nobody in these threads was told a bot wrote the opener.

Already delivered for A 200M view creatorTOT PakistanAn 8 branch medspa groupA 6 figure Amazon brand
08 Market and model

We are not selling software. We are selling the seat.

TAM
$14.3BM
SAM
$2.1BM
SOM, 3 years
$9.0MM

Bottom up: 8M sellers running outbound worldwide, 1.2M of them in English speaking markets, 5,000 seats at our price. Bars are proportional, not to scale.

The budget we compete for is headcount, not tooling. One seat per seller, so a ten person team is ten installs.

Part time$600per month, 80 hrs
Full time$900per month, 160 hrs
LicenceM$149per month, self serve
Free replacement  /  No contract  /  Pause any time

Managed seats fund the build. The licence is what they become at software margin, because inference sits on the customer's own plan.

09 Competition

Everyone else automates the sending. We automate the seller.

CategoryReads a reply and decidesFinds buying intentSurvives the platformImproves itself
LinkedIn sequencersTemplates onlyNoAPI based, flaggedNo
AI SDR platformsPartlyEmail signals onlyNot a LinkedIn motionVendor side only
A human SDRYesIf they botherYesLeaves in 18 months
SetterYes, per leadSix surfaces, scoredReal browser, hard stopEvery cycle

What is defensible. Not the feature list. The playbook self correcting against a real book of business, and the safety model that keeps the account alive while it compounds.

Why we win either way. We look like a person in their own browser, the last thing a platform can restrict without restricting its own users. If the rules tighten, every API based competitor breaks first.

10 The ask

Raising $150K to turn a working operator into a repeatable one.

Engineering
$67.5K
Go to market
$37.5K
Vertical voice packs
$27K
Runway buffer
$18K
$150K, our cost base
18 moM
$150K, US cost base
4 moM
Rupee cost base  /  Dollar revenue  /  Clients in the US and the Gulf
Now
Prove reply to bookedEvery booking traced to the opener that produced it.
Next
Ten paid external seatsThree verticals, three reusable voice packs.
Then
Self serve licenceBring your own model plan. Software margin.

Saad, founder. Runs NeuraFinity, writes the product. Built to fix his own pipeline first, so the playbook inside it already closed real client work.

See it run first. Book 20 minutes and we point it at your own LinkedIn, live.

NeuraFinity
neurafinity.site
calendly.com/neurafinity/30min
Figures marked M are modeled