Monk

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Monk

Monk

@usemonk

AR automation that goes live in days. AI-native, not AI-added. Built for businesses who want to get paid fast.

New York Katılım Haziran 2025
19 Takip Edilen584 Takipçiler
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Monk
Monk@usemonk·
Few things in life are as special as doing meaningful work with great people. We offer both. We outgrew our first office. The people who made that happen are featured here. Farewell USQ. Flatiron, here we come.
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Monk
Monk@usemonk·
Picture thousands of data points a day, checks, wires, ACH, lumped lockbox deposits, set against hundreds of open invoices, emails about partial payments, one deposit split across multiple invoices... and someone on a finance team trying to match the chaos to the bank statement. Incumbent cash application software hands that work back to the finance team. AR is Broken highlights common challenges we see on the front lines, and how Monk approaches cash application and AR software differently.
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Monk
Monk@usemonk·
Imagine sending the wrong invoice to Chef Nobu Matsuhisa. Alaskan Salmon Co supplies Nobu, TAO, and Sagaya. At that tier, one invoice error costs a relationship. They moved AR to Monk: → 1-30 day aging down 85% → 90-120 day down 43% A fully managed AR operation that keeps pace with daily seafood distribution, at the accuracy this clientele demands.
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George Kurdin
George Kurdin@GeorgeKurdin·
admiral Rickover ran the US Navy's nuclear reactor program for 66 years with 0 reactor accidents the soviets had 14 LLMs are probabilistic and accounts receivable has zero margin for error. get one thing wrong and it is an issue, for which we are correctly responsible in building @usemonk we adopt the Rickover approach: 1/ LLMs get a narrow pane to decide = deterministic code, business logic, customer policies do the rest 2/ customers can intervene by design = we show exactly what needs their attention vs. what we auto-resolve 3/ playbooks define precisely what happens, when, and how things escalate we obsess over guardrails boring, but reliable. that's the bet
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Brennan Pothetes
Brennan Pothetes@br3nnan·
Before his journey as a founder, @GeorgeKurdin played more than 1.5 million hands of professional poker. His longest session ran about 60 hours. He spent 6 years learning to love variance, the part of poker where a worse player can get lucky and beat you on any given night. Then he went and built a company in accounts receivable. The one corner of business with zero tolerance for luck, where a single misfire touches someone's real money and a real customer relationship. We got into what a million-plus hands actually teach you about building reliable systems, why he wraps every model call in deterministic code, and why a self-described "washed up poker player" chose to spend his 40s on the unglamorous plumbing of how companies get paid. What you'll take away in this Not Another Podcast episode: • Why a poker pro picked AR, the one business that punishes variance instead of rewarding it • What an "agent harness" actually is, and why the last mile of reliable agents is harder than the labs admit • The 3 things that are actually a moat when everyone calls the same API • Only 1 in 700 applicants hired at @usemonk, one meeting a week, no standups • Why he thinks AI job elimination is nonsense New episode of NAP is out now! Can’t wait for you to listen to this conversation with George.
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Monk
Monk@usemonk·
Francesco walks through why he built her, how she decides what to say, and the one rule she never breaks: she never acts on a guess. Read the full story: monk.com/blog/meet-julia
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Monk
Monk@usemonk·
Monk now manages $1.4B in AR The number climbs as Julia, our ai collections agent, works around the clock to collect with your customers Go behind the scenes with @francescocoacci as he breaks down eng process building her in the latest Shipped Series
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Monk
Monk@usemonk·
In AR, the edge cases are often the rule, not the exception. Nearly 40% of cash flow stalls come from small misfires in the AP process: - missing W-9 - PO that doesn't match - approver out of office - portal rejection The standard collections playbook has no answer for this. A dunning email to a customer whose AP team is waiting on a W-9 accomplishes nothing. At Monk, Intelligent Collections handle edge cases with care. Our agents resolve 90%+ of follow-ups on their own, and flag the final 10% for your team to review. All five upstream stalls broken down in our AR Automation Guide. Link in comments.
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George Kurdin
George Kurdin@GeorgeKurdin·
the goalposts are moving every time a new ai model ships. when things speed up, i come back to a book i reread, Man's Search for Meaning one of my big takeaways is that we're each responsible for finding meaning Frankl writes about three ways to find meaning, and i see all three in what we're building at @usemonk 1/ work. do something significant that helps others. for us that's AR. it's anti-hype, but high-utility for the global economy 2/ love. the people beside you. these photos capture a team of a+ players who chose to work together on a problem most people walk past 3/ suffering. building a company is hard. but the hard things are usually the ones worth doing, and they come with outsized rewards a clear why carries you through almost any how, and so do the people around you. meaningful work with great people is what makes it worthwhile
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Monk
Monk@usemonk·
Ready for a little independence from manual collections? Julia chases invoices, applies your payments, and keeps cash flow running. Happy 4th from your team at Monk.
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Andrew Yeung
Andrew Yeung@andruyeung·
We're owed money by a $2B+ company. 30 days overdue. And every person we worked with there has left. We have no one to talk to. What would you do?
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Andrew Yeung
Andrew Yeung@andruyeung·
Last week, we invited the top engineers, marketers, and salespeople in NYC to @TheShortlistNYC June Founder Showcase. 24 hours later, we made >30 introductions, connecting them with the CEOs of the fastest-growing tech startups. After observing how dozens of founders hire, I've noticed that the #1 mistake most of them make is assuming the top 1% of talent is scrolling job boards looking for a new role. They're not. They're usually heads down building the current thing and will only move for the perfect opportunity. And that is our whole thesis behind @TheShortlistNYC. Stop posting job roles into the void, and instead put exceptional talent and founders into the same room, and let the power of IRL do the work. Grateful to the amazing founders who took the stage: @GeorgeKurdin / @usemonk - AI that gets businesses paid faster. $1B+ in annualized AR on the platform. @estelle_pal / Cake - redefining what membership means for modern brands. @MaggieTang47 / Magic - the agentic CRM powering Carbone, Eleven Madison Park, and TAO Hospitality Group. Louis Vichy / @OpenRouter - the unified API gateway giving developers instant access to 300+ AI models through one integration. @NatanWise / Conduit Health - turning a doctor's order into a delivered, insurance-covered benefit. 100,000+ orders shipped in 2026 alone. Tanya Saigol / Jetson Workforce — AI that helps manufacturing plants right-size staffing and cut labor spend in real time. Our next Founder Showcase is on July 21. WE HAVE ONE MORE SPOT FOR A FOUNDER TO PRESENT – DM ME.
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George Kurdin
George Kurdin@GeorgeKurdin·
cash flow is the new growth metric deloitte surveyed 2,313 us public companies and found revenue +6.8% ebitda +9.9% but cash conversion moved less than a day receivables got worse revenue isn't cash. but it can be
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George Kurdin
George Kurdin@GeorgeKurdin·
welcoming William Morin to the team at @usemonk on the GTM side William grew up in Virginia and studied philosophy and political economy at Georgetown. he is another former founder on the team William has always cared about helping business leaders. he built a company to staff construction teams, and now he is helping finance leaders pull cash forward and get AR under control William is joining Nurah and Henry who were also at @Georgetown fun fact: William trained muay thai in Bangkok, Thailand, 6-7 hours a day to become a world class fighter welcome aboard, William
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George Kurdin
George Kurdin@GeorgeKurdin·
most software stats launch and never move, but in finance it has to be the opposite recently i shared that 86.7% of collections on Monk require zero human intervention that number is now 88.2% and climbing this percentage jump is not a launched stat. it represents the next baseline we will keep climbing as we pursue excellence for ourselves, our teammates, and our customers
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The Shortlist NYC
The Shortlist NYC@TheShortlistNYC·
last week's shortlist nyc showcase. 1,000+ applicants. 150 selected. 273 intro requests in one night. @usemonk / Cake Members / Magic / @OpenRouter / Conduit Health / Jetson Workforce this is the room. next one coming soon. apply in comments.
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Monk
Monk@usemonk·
Thousands of in-person sales teams use Siro, and 10M+ sales conversations have now been recorded on their platform to help teams sell better. Siro was growing fast, but still running collections by hand. Siro decided to work with Monk. A couple of months later: - 45% reduction in overdue accounts receivable - 10+ hours a week back - one dashboard for real-time DSO, aging, and cashflow - finance started to focus on strategic decisions Siro is helping thousands of sales teams close more, and we're proud to keep their cash moving as fast as they are. Full story in comments.
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