SallySells — investor story (text mirror for readers and AI assistants; the interactive version renders in a JavaScript browser). Live demo: https://app.sallysells.ai/presentations/514a63d5-f527-4409-83a0-bbfe7c5f5ac0 — product site: https://sallysells.ai
I'm building the mythical sales machine I've always dreamt of
Dollars in. Deals out. Humans optional.
For the last thirty years, companies have been told that software would transform sales and marketing. And in one sense, it did.
The whole story is one scroll ↓
There is now a software tool for almost every individual task.
Software to find prospects
Software to enrich contact records
Software to send email
Software to manage customer relationships
Software to create creative assets
Software to manage advertising
Software to schedule meetings
Software to record calls
Software to update the CRM
Software to score leads
Software to generate reports
Software to attribute revenue
The tools don't form a system.They form a pile.
Generating revenue is often the hardest, most expensive thing a company does. Tens of thousands of dollars a month on tools designed to find customers — and the actual work of finding customers is still overwhelmingly manual.
Why the pile fails
Each tool performs one narrow function. Each contains one fragment of the truth. Each requires someone to decide what happens next.
The advertising platform can tell you who clicked an ad — but it doesn't know what those people later said in a sales conversation. The outbound platform can tell you who replied — but not why one message resonated and another failed. The CRM can tell you an opportunity closed — but it can't explain which idea, objection, campaign or conversation caused it to close.
The salesperson knows what prospects are saying. The marketer knows which campaigns get attention. The founder knows why customers ultimately buy. The knowledge lives in different people and different systems.
And every specialist in the pile optimizes for what their piece can see. The ad agency — a monthly retainer plus ten percent of ad spend, the standard arrangement for twenty‑plus years — optimizes cost‑per‑click and click‑through rate. The email operation, in‑house or hired, optimizes sends, open rates, positive‑reply rates. All real metrics; none of them the one that moves the needle. Nobody is optimizing for revenue, because nobody can see all the way to it.
Humans are the glue holding the entire operation together.
Someone has to decide who to target.
Someone has to turn positioning into campaigns.
Someone has to write the ads.
Someone has to build the lists.
Someone has to launch the outreach.
Someone has to monitor performance.
Someone has to respond to interest.
Someone has to qualify the prospect.
Someone has to follow up.
Someone has to update the CRM.
Someone has to explain the results.
Someone has to apply the learning to the next campaign.
This is what companies call a sales and marketing operation. But it isn't an operation. It's a chain of disconnected tools, held together by people — expensive, slow, losing information at every handoff. For small companies, a true repeatable system often never gets built at all.
And the human glue fails in ways everyone has learned to accept:
63%
of companies never reply to a lead at all
29–42h
average reply time, when a reply comes
8%
of reps ever get past five follow‑ups — 80% of sales need five or more
100×
more likely to qualify when answered in under five minutes — 0.1% of companies hit that bar
Not a discipline problem — a structural one. A human cannot answer every lead in under a minute, follow up six times on every thread, and run a live demo at 3am for the prospect in Lisbon.
Here's the scenario.
It's Tuesday, 6:40 in the morning. A founder with an exceptional product opens her laptop — not to build. To sell.
Forty minutes building a list.
An hour writing cold emails.
The ad account — spend up, replies flat, no idea why.
Two intro calls that go nowhere, retelling the pitch she's told two hundred times.
The follow-ups she owes from last week.
The CRM, updated at 9pm, from memory.
To grow past this, she's told to hire a marketer, an SDR, a salesperson, an agency, an ops person, and contractors. Not because the work is impossible — because no single system has been able to do it.
Until now.
Meet Sally
One intelligent system that replaces the fragmented machinery of customer acquisition.
A company tells Sally what it sells, who should buy it, and how much it's willing to spend. Sally does the work required to turn that information into customers.
She researches the market. She identifies likely buyers. She creates and launches campaigns. She writes outreach. She monitors target accounts. She responds to prospects. She runs live, Zoom‑like sales calls. She answers questions. She follows up. She qualifies opportunities. She learns which messages are working, sees which prospects advance — and, most importantly, learns which prospects ultimately become customers.
And she works like a hire, not a tool: you manage her entirely by email. No dashboard to maintain, no CRM workflow to keep current. You email her instructions; she does the work; she emails you back with what happened.
There is deliberately no CRM integration, because there is no CRM — Sally is an all‑in‑one system and her pipeline is the system of record. The CRM is legacy software, built on the premise that humans do the selling and someone has to monitor and manage their activity. Take the humans out of the loop and what you actually want is answers: email her "give me a Q4 forecast based on historicals" or "who's likely to close in the next three weeks" and the answer comes back the way it would from a great head of sales.
You also decide exactly where her job ends. Want her to run one qualifying call and hand every deal straight to you — no follow‑up, no back‑and‑forth after? She'll do that. But the most powerful version is the full cycle, start to finish: every call, every follow‑up, every objection, all the way through the close.
⤷ Branch off: Sally's first 48 hours on the job — before you've lifted a finger
Imagine this: you point Sally at your website on a Monday and go back to work. Before you've done anything else, she's researched your company on the open web — what you sell, who buys it, how you position, who you compete with — drafted a starter playbook, and built you a complete, professionally designed sales deck from your own site and branding, with a real problem‑to‑solution‑to‑proof‑to‑close arc. Pricing is left blank; she never guesses a price. Prefer your own deck? Email her the PDF and it replaces hers.
Before any prospect ever sees a demo, she reconstructs the Offer Model behind the deck — the product, the buyer job it owns, the outcomes, the capabilities — then rehearses: ten realistic buyer calls, a deliberate share of them hard buyers (price‑hagglers, one‑word operators, competitor‑anchored skeptics, executives with five minutes). Every proposed correction must measurably improve a replay of the same call, hold up against a different buyer, and two untouched buyer calls must then pass full quality review. Only then do you hear from her.
Your first email from Sally isn't a form. It's her finished understanding of your business — "Is this what we actually sell?" — for you to confirm or correct in plain English. Then the welcome email arrives with the deck and a live demo link, and connecting her mailbox is the entire go‑live. Want to teach her more? A thirty‑minute voice onboarding call, sample call transcripts, or a "pitch and I'll copy" session where she absorbs your exact phrasing, cadence, and objection moves.
← Back to the story
The prospect's side
What this looks like from the other end of the link.
Sally's calls aren't a demo performed at someone. The prospect sets the pace, decides whether he ever sees a slide, and can ask for a human at any point without losing what he's already said.
↗Handoff available at every step below
Handoff available at every step
01
The email lands
Cold outbound, a reply to one of her ads, or an inbound form she picked up. Whatever the source, it carries one link and no request for a slot in his calendar.
02
He taps it, on his own time
Seconds later he's in a live, spoken conversation. Eleven at night, Sunday morning, the twenty minutes between two other things — she runs these around the clock, in parallel, in his language.
03
He decides how the presentation goes
She has a deck built from your own site and branding, and she'll present it properly — narrated in his language, whatever language your deck was written in.
And she presents it the way a person does, not the way a slideshow does. He asks about pricing four slides early and she goes straight there. He says integrations aren't his problem and that part is glossed in a sentence and left behind. He never sits through what he's already told her he doesn't care about.
04
The conversation does the actual work
Objections handled as they land. His numbers, not hers, when it comes to the math. Underneath it the qualification scaffold fills itself in from what he says — who signs, what actually hurts, who else has to agree, what he's comparing this against.
05
It ends in one of three places
She closes it herself with your own payment link. Or she lands a committed next step and has the follow-up written before morning. Or he says he'd rather talk to a person — and that's the third ending, not a failure of the first two.
06
You get the record either way
Every objection, every commitment, and the current state of the deal — attached to the deal and summarised in that evening's debrief. None of it depends on someone remembering to write it down.
The exit that's always open
"Can I talk to someone?" never has to wait for the end of the call. At any point in the sequence above — before a single slide, mid-objection, thirty seconds in — Sally stops selling, captures what he actually wants from a person, and closes the conversation warmly.
The deal then lands with you as a structured Deal Brief with everything she'd already learned attached, so whoever picks it up starts where she stopped rather than at the beginning. She doesn't patch him through to a live human, and she doesn't stall him pretending she's about to. A handoff is a handoff, not a hold.
Optional presentation, open exit, complete record. The prospect never has to sit through anything to reach the part he came for — and never has to repeat himself to reach a person.
Imagine this.
11:04pm, Thursday. Sally is working a customer's pipeline tonight — they sell resident retention to property operators. Her prospect finally gets a quiet minute, opens her email, and taps the link. No calendar dance. He's instantly in a live, spoken sales call.
Hey, can you hear me clearly?
Yeah — look, I've got ten minutes.
Then I'll skip what doesn't matter. Last time you flagged onboarding time as the blocker — want to start there?
…you remember that?
In your own words. You also said your CFO would need numbers — I'll have them in your inbox tonight either way.
Honestly, the number you quoted my colleague felt high.
High compared to what — what turnover costs you now, or building this in‑house? Tell me what a turn costs you and I'll do the math right here.
Fine. Call it $3K a unit, all in — and we turn about 40 a month.
That's $1.4M a year walking out the door. Save three of those turns a month and this pays for itself four times over — your numbers, not mine. Want me to jump to the integration question from your email?
Yeah, skip to that.
Here's how we integrate with Yardi — we do a nightly pull of all your current tenants, then we get to work — no write access required. From there we're able to tell you who's likely to move out at renewal time and exactly what offer would keep them. Comfortable looping your CFO in Tuesday?
Send the numbers first. Then yes — Tuesday. Ok, ciao.
Ciao anche a te, John. Ti mando subito i numeri.
11:31pm: a committed next step, every objection captured on the deal, nobody on your team awake — and that was Sally running a customer's sales motion, not ours. These calls run 24/7, in parallel, in any language. Want the same call about Sally herself? Take it yourself — it's Sally, selling Sally. (If she won't load, she's hit my monthly spend cap — more on that below.)
[Image: Live discovery call on a phone — Sally presenting a sales deck with her spoken transcript overlaid]
Built around the outcome
Traditional software is built around isolated activities. Sally is built around revenue.
She doesn't merely know an ad received a click. She knows whether the person who clicked later took a meeting, what they cared about, which objections appeared, whether the opportunity progressed — and whether it became revenue. That creates a continuous learning loop across the entire customer journey.
01
She discovers that a particular pain point produces more qualified conversations.
02
She learns that one kind of company converts more often than another.
03
She recognizes that a message generating fewer clicks may still produce better customers.
04
She hears the same objection on sales calls and adjusts future advertising and outreach to address it earlier.
The campaign improves because the sales conversations improve it. The conversations improve because the campaign attracts better prospects. The entire system improves because it can see what actually turns into revenue. Today, humans perform this coordination. Sally turns that coordination into software.
Underneath sits something no ad platform or email tool has: with Stripe and QuickBooks connected — Chargebee, Recurly and others to follow — she sees the full lifecycle, from "never heard of you" through closed‑won, contract signed, invoice paid. A verifiable outcome — to our knowledge, something no AI sales or marketing tool has built. So she can tell you that dentists who see one particular image and call to action click through and ultimately buy, while physical‑therapy practice administrators click and reply — but stall, and exactly what they say in the sales conversations when they do. And when the pattern points at the product itself — a gap she keeps hearing about on calls — she bubbles it up to you intelligently, so you can weave it back into what you build.
Every night she runs an internal review — which lines got real traction, which fell flat, what worked and what didn't — and builds the winners into the next day's calls, ads, and outreach. Like a great salesperson replaying the day on the drive home, except she never skips a night and never forgets the lesson.
One wall never moves: outcomes teach her how to sell, never what's true. Product facts and pricing only ever change through you — and every change she makes to her own memory is cited, versioned, and reversible with one reply. When a prospect asks something she doesn't know, she has a hard rule: never invent an answer. She tells them she'll find out, asks you, follows up — and files your answer into her corpus of knowledge, so it's asked once and answered forever.
⤷ Branch off: why a business can trust her with its name
Autonomy is only sellable if it's governed, so the guardrails are engineering, not policy documents. Only the verified manager can direct Sally — instruction authority is bound to a cryptographically verified email identity, so a prospect claiming to be the CEO can't steer her. The rules that must never break — no fabricated pricing, SLAs, customers or metrics; unconditional opt‑out; no invented urgency — live in code, where no email (not even yours) can erase them.
A brand‑new Sally earns her autonomy: at first every prospect email comes to you as a one‑tap approve/edit/reject, and she starts sending on her own only once your corrections fall below a threshold. Her first hundred real calls are each critiqued immediately by a hard‑nosed sales‑coach review — then nightly, forever. Every action is auditable; nearly every action is reversible by replying to an email.
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⤷ Branch off: she runs the paid advertising, too
Point Sally at your ad budget and she stands up campaigns on the Meta platforms — Facebook and Instagram — plus LinkedIn and X, writes the copy from your own materials, creates the images and short videos, and spins up an on‑brand landing page whose "watch it presented live" button drops a visitor straight into one of her voice calls. A form fill becomes a lead in her pipeline within moments, worked like any warm prospect: reply, demo, qualify, close. The loop runs end to end — ad → lead → conversation → call → revenue — and what the sales calls teach her feeds back into the next campaign.
Nothing spends money without your say‑so. Normal campaigns get a heads‑up window ("launching tomorrow at 10am, $50/day for two weeks — reply to hold"); video ads, sensitive categories, and customer‑list retargeting always need an explicit yes. You set monthly and daily caps she never crosses, a deterministic rules engine — not a guess — computes every budget change from real results, the platforms hold hard native caps on top, and an emergency stop freezes everything instantly.
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No agency, no designer — ads Sally generated
[Image: Sally-generated LinkedIn sponsored post for OpenVia — modern access control for multifamily]
[Image: Sally-generated Instagram ad for OpenVia — your residents live on their phones, their access system should too]
[Image: Sally-generated X promoted post for OpenVia — upgrade access, not your whole system]
Creative Sally produced for OpenVia, the founder's own access‑control company — the copy, the design, and the per‑platform formatting for LinkedIn, Instagram, and X, shown as they run in‑feed.
And one property compounds quietly: what one Sally learns, every Sally can use. Best practices cross‑pollinate across agents. Play it forward — many thousands of customer conversations a day feeding one system that learns from all of them — and there's a point where Sally is running more sales conversations than any sales team on earth, and learning from every single one, more deeply and more fluidly than any of them. Past that critical mass the flywheel spins fast enough that not using her becomes the irrational choice. That is the road from a hundred customers to thousands.
The category
Not another AI SDR. Not a spam cannon.
An AI SDR books meetings a human still has to take, from sequences a human still has to write, into a funnel a human still has to run. It's one more tool on the pile. And the blast tools? Ten thousand name‑swapped emails a day is exactly the machinery buyers have learned to delete.
Sally is not a writing tool, not a chatbot on a website, not another dashboard. She is the operating system for acquiring customers — the world's first comprehensive system for go‑to‑market: campaigns, outreach, conversations, live sales calls, qualification, follow‑up, and the close, coordinated by one intelligence that learns from revenue.
Even her cold outreach proves the point: before any cold email goes out, she researches that prospect's company on the web and writes the whole email individually around what the company actually does — then an honesty check rejects name‑swap templates, invented details, and manufactured urgency.
⤷ Branch off: how the outbound machine actually works
Two channels, never conflated. Warm contacts — the lists a founder accumulates through conferences and intros — go from your own inbox, gently paced, with unconditional opt‑out. Genuinely cold prospects go through dedicated, separately‑warmed sending infrastructure so cold volume never risks your domain's reputation.
She finds prospects herself, searching lead databases against your ideal customer profile — and because database filters are approximate, her per‑prospect research doubles as a verification gate: defunct, acquired, wrong‑industry and wrong‑size companies are quietly dropped before anyone is emailed. Before a big speculative list spends a dollar, she probes a free sample and reports the true hit‑rate. Hand her a messy pile — a spreadsheet with a do‑not‑sell tab, a CRM export, one sentence like "go after managers at specialty paint stores" — and she comes back with a plan first; one plain‑English yes covers the whole motion, exclusions locked in before anything else, paced honestly across months rather than blasted in a night.
← Back to the story
Timing
Most outreach is timed for the sender. Sally's is timed for the buyer.
She doesn't work a list once and move on. She watches the accounts you care about — and the people on them — month after month, and moves when something changes.
01
A new hire lands in a role you sell to — she sees the title, and the introduction goes out that week, not at the next campaign.
02
Jim is promoted from manager to regional manager — she congratulates him, and the relationship is warmer the next time there's something to sell.
03
Jim leaves for a VP role at another company in the same market — she congratulates him there too. One relationship just became a second account, with someone who already knows you.
You teach her the triggers that matter in your market — reach out whenever an account hires a new VP — and she watches for them across every account, acts on them without being asked, and tells you what she saw and what she did in the same evening email.
Now imagine month one.
Your week has changed shape. Every evening, one email — and it builds itself in front of you.
Straightforward deals she closes herself, with your own payment link. Deals that need you arrive as a structured Deal Brief. On the last day of the month she asks where the handoffs landed; you answer in a sentence, she books the outcomes. You spend your time on the conversations only you can have.
From: Sally <sally@yourcompany.com>
Subject: Daily debrief — Thursday
Good evening — today in the pipeline:
• 3 replies — Meridian asked for a proposal (drafted, in your band, awaiting your look)
• 2 live calls ran — Halstead committed to bringing in their CFO Tuesday
• Objection pattern: 4 of 12 replies this week pushed on onboarding time
• Coaching gap: you asked me to drop "circling back" — I used it once, thread fixed
• Tomorrow: follow up 6 quiet threads, work the Northline list, ad refresh at 10am
Sally
⤷ Branch off: the close, the handoff, and why deals never disappear
Every active deal carries a structured qualification scaffold — economic buyer, identified pain, champion, competition, next close date — filled in conversationally, every field citing the email or call that supplied it. She tracks whole buying committees, not flat contact lists: when a champion writes "let me loop in our CFO," the CFO becomes a tagged contact with their own thread state. She understands and navigates the nuances between roles — head of sales to VP of sales to CFO — and tests and tailors her pitch to each audience automatically, the way a good human rep would: the VP hears pipeline coverage, the CFO hears payback. Proposals are drafted only within pricing bands you configure; discounting past the band is refused at the tool layer and escalated to you.
Sally runs no payment or signature system of her own — when she closes, she sends your own Stripe, DocuSign, or signup link, exactly as you configured it, warm threads only, every send logged as a close attempt. And a handed‑off deal is never forgotten: the month‑end review means every close gets recorded, and a deal you couldn't move can flow back into her pipeline instead of dying on the vine.
← Back to the story
The market
Who buys this? It's sales‑motion dependent, not industry dependent.
Our target market is exclusively B2B — a uniquely tangible sale, and that isn't changing in the near term — and non‑regulated industries, so not finance, banking, or medical, where licensure requirements apply. Beyond that, the screen is simple: do you sell B2B, mostly over email and Zoom? Then Sally can likely run your motion. She's not for the enterprise, where deals are done over steak dinners and golf — she's for the transactional end of the spectrum.
Our beachhead: founder‑led B2B companies with contract values of $25K and under, where the founder is still doing the selling and trying to stop being the only salesperson. It's a genuinely painful point in time — and 95% of founders aren't great at sales, our own included. They're evaluating Sally against hiring their first or second rep; she's the alternative that costs a fraction and starts immediately.
The second core audience: companies selling into the US from abroad. For them the problem is structural — time zones that put every demo at 8pm local, an availability gap, and often a language barrier. Sally erases all three: she works every timezone and speaks any language, tailoring her outreach to prospects who speak Portuguese, Spanish, French — whatever it may be — in their native tongue.
That's already many hundreds of thousands of businesses — software companies, agencies, service providers — a huge market in itself. And the Stripe playbook applies from there: start with startups and small businesses, make money as some of them become big businesses, and work steadily up‑market into larger accounts you never could have started with.
The business model
Sally is paid like a salesperson. Her incentives are her customer's.
$1,499–$3,499
monthly base, per tier — pays for the acquisition motion itself
10%
commission on the first‑year value of deals Sally sourced
10%
management fee on the ad spend she runs, billed separately
The base scales with pipeline, not seats — three tiers. Starter, $1,499: up to 500 concurrent leads active in her pipeline at any one time — anyone she's mid‑thread with, waiting on, demoing, or following up. Growth, $3,499: up to 5,000 leads. Scale: a straight multiple of Growth for bigger books — 20,000 leads is roughly 4× Growth, with a volume discount on top — and white‑label for agencies is a conversation we'd gladly entertain. Every tier gets every capability.
Commission attribution is deliberately fail‑closed: with the customer's permission the platform reads their own Stripe or QuickBooks — read‑only — and only an airtight match between a closed deal and Sally's pipeline bills automatically. Uncertain matches ask first; no match is never billed; refunds claw back pro‑rata. Trust in the billing is part of the product.
The margins underneath are software margins — 80 to 90 percent gross. We built and tested on the most capable frontier models from Anthropic and OpenAI, then progressively migrated the intelligence layer to far more economical open‑source models — GLM 5.2 carries most of it today — with no quality loss we can measure. Ad‑creative generation still runs on leading‑edge models while the quality bar is the product; as each piece bakes, it moves down the same cost curve, and fine‑tuning models of our own, custom‑tailored to these use cases, is on the near‑term list.
The comparison a buyer actually makes: an SDR runs ~$85K fully loaded and a demand‑gen marketer ~$115K — and both draw that base regardless of results. Even hired outside the US, a human rep's monthly salary meaningfully exceeds the Growth plan. Sally's base is a fraction of one hire, works every timezone, never ramps, never churns, and most of her upside is earned only when revenue lands — and the customer also sheds thousands to tens of thousands a year in tooling and infrastructure, the CRM seats and point solutions she makes unnecessary. Software margins on a line item companies already accept as a percent of revenue.
The math a founder actually does
Side by side: the way it's always been done, or Sally.
Price the year you hire your first sales rep and point a 5,000‑person funnel at the market — the tools, the people, and the glue in between.
The way it's always been done
Year one, first sales hire, 5,000 leads in the funnel
Apollo.io — leads, enrichment, sequences$149/mo
HubSpot Sales + Marketing Pro, 5K contacts~$980/mo
Cold‑email infra — warmed domains & mailboxes~$150/mo
Zoom, Calendly, call recording~$50/mo
Ad creative tools & landing pages~$120/mo
E‑signature~$25/mo
Tools subtotal~$1,475/mo
First sales rep — $85K/yr fully loaded~$7,080/mo
Ad agency — retainer, plus 10% of spend$2,500+/mo
The founder, holding it all togetherunpriced
Total, before a dollar of ad spend ~$11,000+/mo
≈ $133K a year
Sally
Growth plan — the same 5,000‑lead funnel
Prospecting, outreach, ads, live sales calls, follow‑up, closing — one system$3,499/mo
Commission — only when deals close10% of yr‑1 value
Ad management — no retainer10% of spend
Ramp timenone
Coverage24/7 · every timezone · any language
CRM seats, point tools, glue worknot needed
Total fixed cost $3,499/mo
≈ $42K a year
Call it $90K a year that stays in the business — before counting that most of Sally's compensation only exists when revenue does. And nothing on her side of the table ramps for three months, quits after eleven, or forgets to update the CRM.
Illustrative stack at typical published list prices, rounded; the pile varies by company, but rarely shrinks.
Where it stands
We didn't test Sally on a toy. We pointed her at ourselves.
The system is live in production today. Sally's first customer is SallySells — she runs her own go‑to‑market, works her own pipeline, and the sales call on our website is her, selling herself. Her second is a beta customer in proptech, a business nothing like ours — exactly the point of a platform built multi‑tenant from day one — actively using the product with great early results: a $5K deal already attributed to Sally's first month of effort. They pay $1,750 a month — the first‑to‑take‑a‑bet deal, half off the Growth plan for three months before converting to the full $3,499 — and we'll happily cut a few more deals like it in exchange for proof points.
And Sally selling herself is only our second‑strongest demo. The strongest: when a prospect shows real interest, she proactively goes to their website, ingests everything publicly available about the company, and generates a complete sample deck and live sales presentation for the prospect's own company — "Hey Jim, one of the best proof points is exactly what I can do. Here is me selling your product." So the buying moment isn't "watch Sally sell Sally," it's watching Sally sell their product, to them, before they've signed anything. It lands 85–90% right — close enough that a founder polishes rather than rebuilds. The demo is the proof, and we're not aware of a single competitor selling itself this way.
Those generated demos are a real, deliberate cost: about $15 each today, because our first foot out the door has to be exceptional, and that still takes the more expensive models. At a skeptic's 1% hit rate that would be a $1,500 cost of acquisition — but she only builds demos for prospects already showing interest, with budget and authority, so we expect something closer to 10%, and we'll learn the true number at scale. The spend matters because of what it's up against: the overwhelming majority of buyers don't yet believe AI can run their sales — and no argument dissolves that disbelief like watching her sell their own product to them, before they've committed a dollar.
What remains is deliberately unglamorous: finishing the production harness — the operational scaffolding to run many customers at once with the same discipline the first two get. The product works. The task now is to go to market with it.
The precedent
This transition has already happened once. It was worth $3.6 billion.
Intercom sold software that helped human support teams answer customers — inbox, ticketing, knowledge base. Humans still read the questions, found the answers, resolved the tickets. Then it built Fin — and Fin crossed the boundary: it didn't help reps resolve tickets faster. It resolved them itself. Fin became the company's central product, gave the company its name, and led to an announced Salesforce acquisition valued at roughly $3.6B.
Software that helps humans do the work
Software that does the work.
The lesson isn't the exit — it's the budget. Fin stopped competing for customer‑service software spend and started competing for the vastly larger pool of money companies spend employing people to answer questions. Sally applies the same transition to revenue: a company stops buying software to assemble and manage a revenue operation — it buys the output of the revenue operation.
And the incumbents are structurally conflicted. Salesforce and HubSpot will ship agents — but agents designed to strengthen the CRM, because their economics depend on humans doing revenue work: more employees, more seats, more workflows. Kodak had the technical capability to build digital cameras. Sally is free to build the agent that makes much of the traditional CRM unnecessary. That freedom matters more than their resources.
⤷ Branch off: why the acquisition market could be enormous
Sales and marketing are too large, fragmented, and specialized for one winner. Selling a $3,000 SaaS subscription to a small business is nothing like selling a $500,000 enterprise contract, managing local‑service demand, or running a channel business. Different autonomous systems will win across industries, deal sizes, and sales motions — there may be dozens of meaningful winners, and they don't need the whole market: only proof that they reliably replace a category of revenue‑generating labor.
An autonomous commercial system competes against the total cost of SDRs, demand‑gen employees, agencies, ad operators, sales and revenue ops, managers — plus the software stack those people use. For incumbents, acquiring autonomous revenue companies may become the fastest credible way to move from selling tools to selling completed work — and not one universal winner, but several, across segments. The pattern Fin proved: a software company helps humans perform a function → an AI‑native product performs the function itself → it moves from software budgets to labor budgets → incumbents see both a threat and a path into a larger market → multiple category leaders become highly valuable strategic assets. Fin demonstrated it in customer service. Sally is pursuing it in a larger, more valuable labor market.
← Back to the story
A note from the founder — the honest part
Everything you've scrolled through — the platform, the infrastructure, the AI bills — I've paid for out of my own contracting gigs. That's also why, if you click Sally's sales call and she won't load, it's not a bug: she's hit the spend cap I can afford. The product works; the wallet has limits.
I have a wife, a mortgage, and three pre‑school kids in childcare. For the past six months that has meant building Sally in fits and starts — nights, weekends, and the gaps between the client work that pays for all of it. The product you just read about got built anyway.
That's what this raise actually buys: me, full‑time, with the confidence to deliver — instead of a founder splitting his best hours between the thing that pays the bills and the thing that could matter. Imagine what fits‑and‑starts built. Now fund the full‑time version.
And if you know me well, you know this isn't my first attempt at building a product. I've tried three to five different things over the past six or seven years — and I never believed in any of them the way I believe in SallySells, because this is exactly the product I wanted when I was trying to take those other products to market. At OpenVia we raised a million dollars, hired two salespeople and a sales leader — and the unit economics never worked. It's brutally hard to sell a $300‑a‑month product with human salespeople unless you're closing dozens of deals a month, and we never got there. With Sally, I believe that outcome would have been very different. The technology wasn't there for OpenVia. It is today — there are still a few edges where it isn't quite ready, but it's getting there while we build, and when it lands we'll be standing exactly where it lands. Nearly fifteen years into this industry, of everything I've ever built, this is my magnum opus.
Here's the part you may not know: I never shut the original company down. It's been going for seven years, and I kept all of my original investors on the cap table instead of wiping it clean, even though many other founders I know wasted their investor's cash and delivered an "oh well". So that's what you should know about me: I won't stop until I win. And if I win, you win — even if the product ends up something slightly different than what we set out to offer.
The raise
$50K to finish the harness and take the market. Today isn't soon enough.
$50K
target raise — will consider flexing to $100K
$10K
minimum check
Rolling
close — first in, first working
5–10
customers by EOY 2026 — into profitability
The instrument Post‑money SAFE · $7.5M cap · 20% discount
The money does one job: finish the production harness and land the first five to ten paying customers between now and end of year. Five customers at our blended ~$2,500 average is $12.5K of monthly recurring revenue — default alive, operations and growth funded from revenue, with commission riding on top; ten takes it to ~$25K. The window is now, and it doesn't take much capital to seize it. This is not a raise to find the product. The product exists, in production, selling. This is a raise to stop it waiting.
The fastest diligence takes eight minutes and no scheduling: take Sally's sales call — she'll pitch you the company herself, handle your objections, and follow up in the morning. Then reply to the email that brought you here.
After this round
Will we raise again? Maybe — and that's the point.
This is a market with real competition, and what we're building will inspire some who aren't competing with us today to start. A reasonable war chest might be the smart play. But there's a decent chance we never need one: a business growing 10–20% month over month at 80–90% gross margins can fund its own growth.
Here's the thing to understand about future fundraising: hit this round's stated goal — five to ten customers by end of year, each one a case study and a proof point — and we have optionality. Raise at a premium valuation, or just let the machine work and keep the company lean. We won't raise for the sake of raising money. We'll raise only when we know it buys acceleration.
And make no mistake — we're not raising to fund small ambitions. I'm expecting this to be a generational company. That said, dilution is a fair question for any early check — so the simulator below now includes the follow‑on round. Set its size and valuation yourself and watch what it does to your stake.
Illustrative returns
Here's what your investment could be worth. Break the assumptions yourself.
AI‑native agent companies — software that does the work instead of assisting it — are commanding premium revenue multiples right now, and we expect that to hold for at least the next 12–24 months; Fin's ~$3.6B is the loudest example. Pick the multiple you believe, set the operating assumptions, and watch what a check becomes. Every number below is yours to change.
Exit multiple on ARR
5× the floor12× base30× premium
Calibration: a run‑of‑the‑mill agentic‑AI startup trades around 8× top‑line today; exceptional, must‑have assets with strategic interest reach 20–25× — our ability to target labor spend, not just software spend, is why we believe we land toward that end. The 12× default is deliberately conservative: 100 customers at our ~$2,500 blended average is ~$250K MRR, almost exactly $3M ARR — and 12× makes that a ~$36M exit.
Your check
$10K min
$25K
$50K — the whole round
$100K flex
New customers per month
Monthly churn
Customers on Growth plan ($3,499 base) vs Starter ($1,499)
Deals Sally closes per customer, per year
Avg first‑year deal value (10% commission)
Ad spend Sally manages per customer, monthly (10% fee)
Months until exit
The follow‑on round — your dilution, your assumptions
Amount raised next round
At a post‑money valuation of
Slide the amount to $0 for the self‑funded path. Your SAFE converts to its full ownership first, then dilutes by the new round's share — the same haircut every existing holder takes. Hitting this round's goals means we choose between a premium‑valuation raise and no raise at all.
This scenario
Customers at exit
Revenue per customer / yr
ARR at exit
Exit valuation ()
Your ownership at exit ()
your money
Illustrative math, not a guarantee of results. Assumes SAFE conversion at the $7.5M post‑money cap, with dilution from the follow‑on round exactly as you set it above; real outcomes depend on execution, markets, and luck. But I'm betting my career on it — so I'm in.
Don't take our word for it
Hand this pitch to your AI and interrogate it.
One click opens your model of choice with this page loaded as reference material and a diligence prompt ready to go. Ask it what we got wrong.
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Software turned a collection of ledgers into a coherent financial system. It let companies request computing without building data centers. Sally does the same for customer acquisition: a company should build something worth buying — and Sally should handle the machinery required to bring it to market.
Not a better sales tool.Not a more productive salesperson.A complete sales and marketing systemthat learns, acts and improves as one.
SallySells.ai · Take Sally's sales call© 2026 Front Porch Ventures, Inc. · Prepared for prospective investors