Re:Vault runs your LinkedIn outreach end to end. It finds the buyers, writes in your voice, handles replies and books meetings, with a human on every judgment call.
Or just write: dmitry@re-vault.io
No dashboard: this chat is the whole interface.
What a working day looks like in the system's own log. A sample day from our pipeline:
Subscription, login, empty screen. Then it was on you.
Build the list. Write the messages. Configure sending. Warm the account. Watch that your messages actually land. Answer every reply. Ten hours a week, every week. The software worked fine, and the pipeline still didn't move.
Tools aren't the problem. Tools need an operator, and you don't have a spare one.
The infrastructure is private: servers, databases, platform connections, accounts. It plugs into what you already use: LinkedIn, Google Calendar, Slack or Telegram, Notion, HubSpot, Salesforce. Each part of the work below comes with an example of how it runs.
Only people with a live reason: funding, a sales hire, a launch, something they posted this week. Every list gets a human pass before anything sends, and plenty of names get cut.
Why now: just funded. Timing is the whole point of the message.
A message about them and that specific reason, written in your voice, with one checkable fact behind every message.
Your two open sales roles won't close pipeline until Q3 at the earliest. That gap is exactly the month I'd want to own if I were you. Mind if I show you what we'd send in it?
Fair point. Show me what you'd send.
Routine replies answered in your voice; invites land on your calendar. Judgment calls route to you with context, and nothing on our side waits longer than 48 hours.
Head of Growth · Fintech
What's the pricing like?
Re:Vault APP
Routed to you, context attached. Meanwhile the earlier yes is booked:
A new account never blasts from day one. It climbs to its ceiling over two weeks, acceptance rate is watched daily, and when acceptance dips, the pace comes down, never up.
Invites per day, first three weeks. The ceilings are our real operating numbers.
The coral bar is the governor doing its job: on day 13 acceptance dipped, so the day's pace was pulled to 7 and recovered the day after.
Plus whatever you want to ask in between, in the chat: plain words, no format. This email is the one place the numbers live.
And if a week returns zero, the email says zero, with the reason. No number arrives without the sample it came from.
Replies came mostly from the payments batch: finance chiefs who just changed roles. The market-entry angle is flat after 60 sends, so next week that volume moves to the hiring signal instead.
Two conversations are waiting on your calendar link; both were answered well inside our 48-hour ceiling. One post goes out under your name on Tuesday. Draft attached: say the word or it holds.
Each of these hands a piece of the operating back to you, so each was left out on purpose.
The engine you'd hire sells Re:Vault first. The four numbers in the Friday email above are its live weekly reading, and everything marked as a sample is a sample.
Built a full outbound system for a fintech infrastructure company: rebuilt the ideal-customer profile, set up Clay and Apollo enrichment flows, created AI-personalised sequences, and trained the first sales rep. The founder stopped being the main closer in month two.
Dmitry Ostrovtsev. Founder, CRO-level operator and GTM architect with 15+ years across AdTech, fintech, AI, creator economy and infrastructure businesses. Built and exited a $15M ARR company; now helps post-PMF B2B founders build repeatable enterprise sales engines.
Re:Vault combines that commercial leadership with a repeatable operator stack: GTM workflows, AI-assisted research, outbound infrastructure, sales process and weekly execution. I built this system from scratch and I run it: when you write in the chat, you write to me, and when something needs a judgment call, I'm the one making it.
Barcelona.
One worker, one price: $2,000 a month, all-in. Infrastructure, accounts, targeting, messaging, replies, your profile, reporting. Put it next to a live hire and the math stops being a debate.
That's different work, and it lives on its own page. Two ways Dmitry engages beyond the single worker:
Because that's software you'd be operating yourself. Here the operating is the product. If someone on your team has ten hours a week for this, go buy the software: it's cheaper, and I'd rather say so now than after you've paid me.
Weeks one and two go to your profile, infrastructure and account warm-up. Sending starts week three. First replies usually land week three or four. Numbers arrive from week one, before anything goes out.
Guarding against that is the job, and the ramp chart above is the whole mechanic: a slow climb to a fixed ceiling, one pinned address, and a governor that pulls the pace down the day acceptance dips.
Posts come to you for approval, and the occasional judgment call arrives in the chat with context attached, like the pricing question above. That's it.
Monthly billing. Say the word and it stops, mid-month if you like. The cleaned-up profile, the lists and every conversation stay yours; nothing is held hostage in someone else's account.
On a 30-minute call I'll show you exactly what would go out to them, and why. If it's not a fit, I'll say so on the call.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io
The $2,000 worker is the product on the previous page. If you want more hands, or more of me, there are two ways up: same engine underneath, more people on top. The table below shows exactly what changes at each level.
Every level is month to month with no setup fee, and everything built stays yours. Moving up or down a level takes one message.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io
Field notes from the operator seat: the systems I install with clients, written down in full. Free, no email gate.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io
Your content should mirror the exact ICP you are targeting this week, so when buyers check your profile after a cold message, they see relevance, not a random consultant.
Most outbound fails not because the message is bad, but because the environment around the message is wrong. The prospect gets a cold DM, clicks your profile, sees a generic consultant, and the message dies there.
The ICP Content Mirror flips that. Before any outbound goes out, you publish one or two posts that mirror the exact pain of the ICP you are targeting that week. When the prospect checks your profile after the message, they see relevance, not a random vendor.
Inside: a prompt to define one narrow ICP, a prompt to generate four LinkedIn post angles, a weekly planner template, and a day-by-day breakdown of how to actually run the week.
Don't personalize only the message. Personalize the environment around the message.
Paste this into Claude or GPT. The prompt is intentionally strict: it forces narrowness and rejects buzzwords. If your input is vague, it asks you three questions before producing output.
Run this prompt once per week, not once per quarter. Your strongest ICP this week may not be your strongest ICP next month: triggers shift, news cycles shift, your own positioning shifts as you learn.
Run this after Prompt 1, in the same chat thread, so the model has the ICP definition in context. It generates four angles, not full posts: you will write the posts yourself, in your voice.
When you write the actual posts, keep the hook exactly as the prompt produced it, or close to it. The hook is what makes a stranger stop scrolling. The rest of the post is you.
The whole point of the system is sequencing. If you skip the order, it doesn't work.
Copy this table into your own Notion or a spreadsheet, one row per week. The whole point is to make the system boring and repeatable, not creative every week.
| Field | Week of [date] |
|---|---|
| ICP focus (one sentence) | |
| Buyer role | |
| Current pain | |
| Buying trigger | |
| Post 1: hook and date | |
| Post 2: hook and date | |
| Outbound list size | |
| What worked | |
| What didn't |
Book a 30-minute call: we'll look at where the leak actually is, and I'll tell you honestly if it's not a fit.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io
A field map for selling fintech in 2026, drawn from two cycles I sold through. What's the same, what's new, and what to do about it.
Most fintech founders are selling against playbooks written for SaaS, or for fintech of 2018. Neither works in 2026.
The category is mid-cycle. Trust problems are reshaping buyer committees. PSD3, MiCA and the AI Act are rewriting the operating environment faster than internal sales orgs can adapt. AI agents are introducing transaction patterns that procurement has no template for yet.
This isn't a generic GTM template. It's a field map drawn from two cycles I sold through: AdTech 2015 to 2020, where I built Nativeroll from zero to $15M ARR through an exit to Mail.ru, and fintech from 2024 onwards, where I operate as a fractional CRO and run advisory through Re:Vault.
The bet is simple: fintech 2026 is structurally similar to AdTech 2015. If the bet holds, the playbook holds.
Two industries, ten years apart, hitting the same structural inflection.
| AdTech 2015 | FinTech 2026 | What it forced |
|---|---|---|
| GDPR and cookie deprecation rewrite targeting | PSD3, MiCA, AI Act rewrite money movement | Compliance enters the buyer committee |
| Viewability and ad fraud as trust crisis | Chargebacks, agentic fraud, AML as trust crisis | Value sells on risk reduction, not features |
| Programmatic stack consolidation | Payment infrastructure consolidation | Partner channel becomes math, not preference |
| Header bidding marketplace economics | PSP and banking-as-a-service economics | Distribution beats product brilliance |
| Vendor onboarding led by IO and legal | Vendor onboarding led by risk and compliance | Champion shifts from product to risk |
| Mail.ru, Criteo, TTD-class exits | Adyen, Stripe, Wise valuations | Trust-tech becomes its own category |
The point isn't that fintech and AdTech are the same. They're not. The point is the cycle: explosive growth, trust crisis, regulatory rewrite, partner consolidation, trust-tech category formation.
In AdTech, founders who treated this as one bag of unrelated problems got crushed. Founders who saw the cycle and re-tooled their GTM, with bigger committees, partner-led motion and a risk narrative, built the category. That's where fintech is now.
If you buy the parallel, the rest of this playbook follows. If you don't, none of it will land. So the first decision isn't tactical: it's whether the cycle holds.
Fintech 2026 isn't one buyer. It's at least four, and the GTM motion is different in each. Selling neobanks the way you sell AI-payments founders is the most common reason early-stage fintech sales miss target.
Four segments, four motions. The mistake is selling all four with the same deck.
The neobank sale closes on regulator-readiness and reference clients. The PSP sale closes on integration depth and partner introductions. The AI-payments sale closes on educating the buyer that a category exists. The crypto sale closes when the bank counterparty stops being the blocker. Same product, four playbooks.
If the cycle parallel holds, five things follow for sales.
Five concrete actions for the next 12 months. None are theoretical: they're how I work with founders inside Re:Vault.
A short point of view. Not predictions: what I see from the operator seat.
Agentic transactions will force a new chargeback liability model within 18 months. Issuers, merchants, agent operators and end users currently disagree on who owes what when an AI agent makes a faulty purchase. The first scheme rule that resolves this will rewrite vendor selection across the payments stack.
Trust infrastructure will become a separate procurement line in fintech, the way ad verification became one in AdTech around 2017. The companies that get categorized into it will be the ones who control the narrative now.
Embedded compliance will become a moat. Not as a feature: as a competitive position. The vendors who make compliance invisible will outperform on retention by 3 to 5 times. This isn't a guess; it's the same dynamic that played out in fraud-tech 2016 to 2018.
The bet isn't that the future is unknowable. It's that this exact future has happened before, in a neighbouring industry, and the playbook is recoverable for anyone who looks.
Book a 30-minute call: we'll look at where the leak actually is, and I'll tell you honestly if it's not a fit.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io
AI doesn't fix weak sales, it just accelerates what's already there. Here's what changed for SDRs, the three stacks that actually work, and what you should never hand over to an AI.
Founders today face a confusing question: hire SDRs, plug in AI agents, rebuild outbound, or replace the sales team entirely? The premise of the question is already wrong.
Sales has already changed. Most of what an SDR used to do, sourcing, enrichment, drafting, follow-up, CRM hygiene, is already done better by tools. The work didn't disappear. It moved.
This playbook covers what shifted, the three AI stacks that actually work today, and the boundary that decides whether AI helps a sales engine, or just speeds up its chaos.
An SDR in 2022 spent most of the week on operations. Today most of that operations layer can be done, or done better, by a stack of tools talking to each other. Here's the shift, task by task.
| Task | Then | Now |
|---|---|---|
| Find companies | Manual LinkedIn / Google | Apollo, LinkedIn Sales Nav, Crunchbase, Clay |
| Find contacts | Manual sourcing | Apollo, Clay enrichment |
| Read the signal | Manual research | Funding, hiring, tech stack, job posts, site changes |
| Write the email | SDR writes from scratch | AI draft plus human edit |
| Follow-up | Manual / forgotten | Sequences plus CRM tasks |
| Call notes | Manual | Gong, Fathom, Fireflies |
| CRM update | Manual fields | AI summary, CRM auto-update |
| Pipeline review | Manager reviews by hand | CRM plus AI deal analysis |
AI doesn't fix weak sales. It accelerates what's already there. Bad ICP plus AI = wrong leads, faster. Empty CRM plus AI = an empty CRM that updates itself.
Most founders ask the wrong question first: "Should we add AI? Hire SDRs? Switch tools?" The right question is what is actually broken in the motion, because tools and headcount can't fix a broken layer underneath.
| Symptom | Likely broken | What to check |
|---|---|---|
| No replies | ICP / relevance | Are you writing to the right people? Is there a real buying trigger? |
| Replies, but no calls booked | Offer / CTA | Too abstract? Is the next step unclear? |
| Calls happen, but no deals | Discovery / qualification | Is this the right buyer? Is there urgency to act now? |
| Deals stuck after demo | Value case / next step | Is there a real business case? A mutual action plan? |
| SDR busy, pipeline empty | Motion / list / messaging | Activity replacing actual selling. |
| Founder closes, team doesn't | Sales process | Sales rests on founder magic, not a repeatable process. |
| AI tools bought, no result | Architecture | Tools aren't connected to ICP, offer, or process. |
Three combinations of tools that actually work right now. Pick the one that matches your stage. Don't try to run all three at once.
Important: not autopilot. Copilot. The human still drives the deal.
Give to AI:
Keep human:
This is where founders fail most often. They automate the human part of sales, the listening, the negotiation, the close, and wonder why the conversion rate dies. AI runs the wheel. People drive the deal.
Hiring is the most expensive way to discover the system isn't ready. A bad SDR hire burns 30 to 60 thousand euros. A wrong Head of Sales burns 100 to 200 thousand and 6 to 9 months. An agency on a broken offer burns budget plus reputation in the inbox.
| Role | Don't hire yet if… | Hire when… |
|---|---|---|
| SDR | ICP still shifts week to week · no tested offer · CRM empty · no working outbound copy · no follow-up process | ICP is narrow and stable · offer is tested · founder has closed 5 to 10 similar deals · there's a list-building process and a clear sequence |
| Head of Sales | No repeatable motion · founder still doesn't know the channel · you expect them to "figure everything out" | Channel is proven · repeatable motion exists · pipeline volume justifies a manager · founder is ready to step out of daily sales |
| Agency | No clear ICP · no tested offer · can't explain why customers buy · looking to "outsource the thinking" | ICP, offer and process are in place · need to scale a working motion, not discover one · capacity to QC their work weekly |
For most post-PMF founders, the right move is fix the system first, then hire. Hiring scales a working motion. It does not invent one.
Ten steps, from a list of zero accounts to a CRM updated automatically after the call.
One operator running this pipeline produces what a 3-SDR team produced in 2022. The bottleneck moves from operations to judgment: who to talk to, what to say, when to push.
Read every reply manually for the first four weeks. The founder has to feel the rhythm of replies, what hooks and what dies, before delegating triage to a model. Skipping this step is how you end up with a "working system" that ships generic messages forever.
AI doesn't replace sales. It replaces the weak manual ops around sales. If you don't have an ICP, an offer, a process, and someone who actually understands commerce, tools just speed up the chaos.
The winners aren't the ones who added AI. They're the ones who rebuilt the sales engine around AI.
The new model isn't AI instead of people, and it isn't people without AI. It's the right stitching: product, ICP, offer, copy, tools, agents, CRM, follow-up, human close. That stitching is what most teams are missing. Not tools. Not AI. The architecture.
Book a 30-minute call: we'll look at where the leak actually is, and I'll tell you honestly if it's not a fit.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io
How to stop selling to the person who books the demo, and start building pipeline around the person who owns the risk. A practical guide for fintech, payments and high-risk B2B founders.
You don't have a lead problem. You may have a wrong-buyer problem.
Most fintech, payments and high-risk founders define their ICP by who replies, not by who has the authority to move. This leads to full calendars, positive feedback, and zero closed deals.
Person who talks to you ≠ person who approves the deal ≠ person who owns the pain. If your GTM is built around the first person, everything looks fine, but deals don't close, because the real buyer is someone else entirely.
In standard SaaS you can often sell to the product or growth team. In payments and high-risk B2B, this logic breaks down completely. The decision doesn't turn on feature fit. It turns on:
The real buyer is the person accountable for the risk of not solving the problem. When you confuse the two, you build a pipeline that looks healthy and produces nothing.
A weak deal is usually not a messaging problem. It is often a buyer-map problem.
| Role | What they care about | Why they engage | Why deals don't close |
|---|---|---|---|
| Product / Growth | Conversion, UX, new revenue | Product looks useful | They don't own risk |
| Founder / CEO | Growth, survival, revenue | Strategic urgency | Needs internal proof first |
| Risk / Finance / Compliance | Losses, processor pressure, disputes, approvals | They own the consequences | Needs hard evidence, not demos |
If the pain lives in Risk but your message speaks to Growth, your deal will stall. You need to reach the person whose bonus or budget shrinks when the problem persists.
| Product category | Wrong first target | Real decision owner |
|---|---|---|
| Chargeback prevention | Growth / Product | Head of Risk, Payments, Finance |
| Payment orchestration | Product / Engineering | Payments lead, CFO, Risk |
| KYC / KYB / Compliance | Product | Compliance / MLRO / Legal |
| Fraud prevention | Product / Ops | Risk / Fraud / Finance |
| PSP / Acquiring | Founder / BizDev | Payments / Finance / Risk |
| Revenue recovery | Growth | Finance / Risk / Operations |
The wrong first target might respond well, request a demo, and even champion you internally. But the deal will stall the moment Risk or Finance enters the room and there's no prepared case for them.
Before you build an outbound list or write a single message, answer these seven questions.
The buyer is usually the person whose internal status improves when your product works. Find that person first. Build everything else around them.
Example: chargeback prevention. Same product, four different messages.
| Audience | Bad message | Better message |
|---|---|---|
| Growth | "Reduce chargebacks with AI" | "Protect approval rates without slowing growth" |
| Risk | "AI-powered dispute prevention" | "Stay below monitoring thresholds and reduce processor pressure" |
| Finance | "Automated alerts" | "Reduce dispute-related leakage and avoid escalating fees" |
| Founder | "Chargeback tool" | "Keep payment infrastructure stable while scaling high-risk revenue" |
Do not describe the product. Describe the consequence it helps the buyer avoid. Every role has a different fear. Speak to that fear in their language, not yours.
Never leave a first call without knowing who owns the risk and who can say yes without asking five others.
Wrong (product-first):
"Hey {{first_name}}, we help high-risk merchants reduce chargebacks with AI-powered alerts. Would love to show you how it works."
Right (buyer-first):
"Hey {{first_name}}, quick question: who owns dispute rate / processor monitoring risk on your side? Asking because we're seeing high-risk merchants re-checking their exposure after Visa's excessive-dispute threshold moved closer to 1.5%. In many teams this sits with Risk, Payments or Finance rather than Product."
The right-buyer version opens with their reality, not your product. It references a specific trigger, names the internal owner, and asks a question instead of pitching.
Your champion opens the door. Your risk owner creates urgency. Your economic buyer closes the deal. A pipeline built only on champions looks busy and produces nothing.
Book a 30-minute call: we'll look at where the leak actually is, and I'll tell you honestly if it's not a fit.
© 2026 Re:Vault · operated end to end, a human on the gates · Barcelona · dmitry@re-vault.io