Joe Zhou

reporting an increase in phone booths and HubSpot seats at @usemonk as Jacob joins us from @brexHQ as founding GTM Jacob was the fastest promotion from BDR to AE in @brexHQ history! energy match was clear from first call = look @zhou_squared smile onwards

Revenue automation software has a credibility problem. Numbers appear in dashboards. And accountants are told to just trust them. Our team at @usemonk took a different approach. We set out to make every number traceable and defensible. Today, @zhou_squared shares our product philosophy on building for accounting/finance professionals. We’ve been fortunate to have the support of our customers and experts in this build. Thank you for continued feedback!

team just shipped an overhaul of credit memos on @usemonk @usemonk treats credit memos as a first-class object within the platform, giving teams a consistent/traceable way to manage adjustments. And our intelligent collections agent recognizes when credits have been applied, ensuring accurate follow-ups. here's what's new: - native creation with structured reason codes - flexible allocation (i.e. add to multiple invoices or stack several memos on 1 invoice) - built-in notifications - generate professional PDFs - hardened 2-way sync with ERPs props to Brodie Marshall (no social media to maximize lock-in) on the ship detailed blog in comments

6 days 41 updates across 8 modules on the @usemonk platform (details in comments) tons more to build to deliver for our customers fun fact: tried to automate this in figma make, V0, and figma mcp. none of it worked for me.

@meetgranola with top tier PLG marketing motion. am i allowed to post this on LI ? @zhou_squared

I’m excited to share a bit about what I’ve been working on in data-centric interpretability. It’s a paradigm with great potential, and it’s ready for application. Our production system has already been tested on real customers’ data to improve their engagement metrics. But we can’t share that, so we’ve made a synthetic dataset to demonstrate. Basically, pretend you’re a marketing firm trying to generate messages that engage users, and they have this hidden preference in the data. LLMs and embeddings fail to catch it, but our system can. Data-centric interp is efficient and good at discovering unknown unknowns. We’ve demonstrated it works on short texts. But what’s really exciting is to extend this to longer contexts and larger datasets. Monitoring agent traces is costly. Training datasets are too massive to even try. But data-centric interp gives you rich representations of data, which can systematically uncover insights, anomalies, and other qualities over large datasets. We can help find these hidden features in your data that will drive your metrics. I’ll be at NeurIPS and am always down to chat data-centric interp

Introducing multi-threading for agentic collections in @usemonk. Collections just got sharper. Customers are demanding. And customers are always right. Customers sometimes share invoice-related communication across multiple threads. A PO# change or a discount for Q4 might be cited in an email thread about renewal for 2026. This is another area where traditional dunning breaks. Context gets lost. Finance, sales, and customer success teams have to clean this up. @usemonk now tracks every thread relevant to a specific invoices, stitches together context, and reasons better given this context. This upgrade is another step toward to solving a big problem in accounts receivables - fragmentation. Multi-threading is live to all customers on the platform now. Read more on the technical challenges in solving this in the comments. Props to @francescocoacci on the build

$3 Trillion is currently stuck in unpaid invoices. An average invoice takes 59 days to clear. If you're doing >$10M in revenue, getting paid in 30 days instead of 59 days will literally make you millions over 2 years. Introducing Monk. It collects your money faster and pays for itself in 30 days, guaranteed. Fast-growing companies like ElevenLabs and Profound rely on Monk. The Problem: 39% of the $3T stuck is due to two stupid reasons: 1. "Please fix this comma in the invoice and then we'll pay you'" (this happens 2-3 times per transaction) 2. "Sorry the payment reminder got buried in my inbox" (automated emails get ignored) A payment that should take 2 days, takes 10 days. Your cash on hand is embarrassingly behind "recorded revenue". To fix this, we raised $4M led by @btv_vc with participation from @gtmfund and @danonanthony. For our first product, we had to innovate on 3 dimensions: 1. Monk turns signed contracts into invoices with near-perfect precision - We leverage frontier models to extract key terms from your deals and turn them into invoices. 2. ⁠Monk collects payments agentically with a 24% better reply rate than automated emails: - Tuned to write emails that feel like a human request, not spam. Your invoice is competing with everything in their inbox. - We know how to find an alternate point-of-contact when someone is OOO, when to reach out, and what tonality yields a higher response rate. If you had someone on your team whose invoice emails got answered 24% more than others - that would be a big deal. You’d make them the head of revenue collection. 3. Granular visibility into your cashflow: - Understand your cash position, aging, or expansion/contraction at customer level. Book a demo at monk.com/book-a-demo-fo… and we guarantee that Monk will pay for itself within 30 days. If you've read this far, we are giving away 40 water-tight contract templates. This would cost >$10K to any agency, startups, or freelancer, to create from scratch. Retweet this and comment 'Monk' and we'll send them to you.

Everyone needs a cofounder. That’s why we built the first ai agent that runs your business with you, remembers things, and knows everything about your business. Cofounder by @intelligenceco can automate, remember, and take actions on your behalf.

@EliottLee @sequoia @kleinerperkins @khoslaventures @Saga_Ventures @southpkcommons phenomenal job 📈

Excited to announce our $35M Series B led by @sequoia, with continued backing from @kleinerperkins, @khoslaventures, @Saga_Ventures, and @southpkcommons. With 700M weekly users on ChatGPT (4× YoY) and >60% of consumers beginning product research with AI assistants, the shift is a board-level conversation. We’re in a zero-click world where AI is the front door to your brand. We're building something special here in NYC 🗽and we're hiring on all fronts. DMs are open.

sound on sunday @usemonk

many parallels between poker and building if you have strong thoughts on this hand and want to build with @zhou_squared - share your reasoning in thread + DM me to chat about founding eng roles

Rapid iterations with customer feedback; we ship daily to prod on features, improvements, fixes, and overhauls - if you see eye-to-eye with this and crave a life of shipping like a madman, dm me. #buildinpublic #startups

only thing we assembled besides 2 desks didn't really think through sizing. do we return?

Searching for stellar founding full stack engineers in NYC businesses wait 60+ days to get paid, locking up $3T in cashflow. this is a massive deadweight loss in our economy and nobody solved it. we will know any obsessive and high agency engineers? maybe you?