Shaun Cooley

@EdGrapeNutZimm @MollyJongFast He will also cover the legal bill for anyone fired over their X posts and the cost of world hunger...

@MollyJongFast Did he?

Checking back on this

@BowTiedKong Weird, wonder why 🤔 "Voters in their 60s and older often have a clear preference for the Republican Party, with one report showing 53% identifying as Republicans compared to 43% as Democrats."

What the fuck are we even doing here

@adamscochran @lisamurkowski Weird, wonder why 🤔 "Voters in their 60s and older often have a clear preference for the Republican Party, with one report showing 53% identifying as Republicans compared to 43% as Democrats."

Murkowski said the structure of the ID requirements were too cumbersome and would restrict voting access - which is true. Rather than dig in and fight for a fair bill, she’s happy to have those requirements if you exempt voters 65+ Hey @lisamurkowski if you know something is wrong, then it’s absolute cowardice to carve out your base and screw over all other American’s. Try actually standing for something for once!

@esjesjesj I mean, best answer to the trolley problem for AI is "turn off autopilot and make the conductor at fault"

Btw what happens is drivers see that autopilot is about to cause a crash and disengage it to try to stop the crash and it’s too late. Then tesla gets to say that autopilot wasn’t engaged

@anshublog Selling dollars for dimes and playing games with the definition of "ARR"…

Cluely is not the only ai company that's lying about ARR. You really think all these companies went to $100M in real fucking ARR overnight? Easy come, easy go.

@BoredElonMusk Me 5 minutes ago: I'll only ever buy an EV! Me now: 👀👀

Very tempted bringatrailer.com/listing/1979-i…

@chandlerjward @tenobrus Webflow should have IPO'd in 2023 or 2024. Oops.

@tenobrus hate webflow, and clay is too expensive. very deserved

gigafucked: - grammarly - calendly - miro - retool - webflow - langchain - writer - harvey - glean - expedia - monday fucked: - accenture - intuit - notion - jasper - canva - alphasense - postman - airtable - talkdesk - sierra - zapier - replit - solace probably fucked: - cursor - pilot - clay - mercor naively seems fucked but so competent / plugged in they seem to be figuring it out on the fly anyway: - linear

@t_blom youtu.be/Y9OcsvNZeB0

@t_blom Because we seem incapable of building HVDC lines to transmit the power vast distances... Maybe "unwilling" is the right term. Either way, insanity.

So much of the Western United States looks like this. Why aren't we carpeting it with solar farms and colocating data centers & grid-scale batteries?

@swerdlin @TheGregYang Using creatinine without accounting for muscle mass, recent resistance training, or supplemental creatine (which holds longer than the 48hr break from supplements before a test) really throws off this type of phenotypic age model. Always found it strange FH doesn't ask these Qs.

Long live Greg. It’s calculated from objective biomarkers reflecting system functioning: • Albumin (liver + protein) • Creatinine (kidney) • Glucose (metabolic health / insulin resistance) • hs-CRP (inflammation) • Lymphocyte % (immunity) • MCV + RDW (red blood cells) • ALP (liver/bone/biliary) It’s like a systems performance score. You can have Lyme and still have strong organ function and metabolic markers. I have friends living in upstate NY with a similar profile. Curious if you did Function’s Lyme antibody testing.

function health tells me I'm 22 seems pretty off seeing i have lyme

@bgurley Dollars for $0.85 doesn't sound too bad. My guess is that it is closer to dollars for $0.25 or less.

This type of analysis should be done with gross profit vs revenues. We all agree it’s a “token” economy. These companies both buy and sell tokens. In 1999 we talked about selling dollars for $0.85. Reselling NVIDIA tokens below cost is an easy way to grow revs. Complicated.

@pmarca I hate taxes as much as anyone, but adding "his companies" doesn't change the equation at all… and that's not even counting subsidies and grants. 0.4% tax rate for Tesla over the last 3 years. itep.org/tesla-reported…

And this is just his personal tax. His companies will pay at least that much again. And then his employees' taxes, and his investors' taxes, and and and.

@terronk and they throw the best DEF CON parties.

There actually is a trans furry cybersecurity mafia but none of y’all are ready for that one yet.

@typesfast Where is the tool for Apple, Nvidia, HP, Dell, Tesla, Google, Meta, and Amazon to calculate refunds on bribes? 👀

Supreme Court strikes down Trump’s sweeping global tariffs. Flexport built the world’s simplest refund calculator brands can use to see what they’re owed back. Use it for free right here: tariffs.flexport.com/refunds

@maxmarchione This is great! When can it order highly specific blood/MRI/CT tests that are not part of your current bundled catalog and the AI needs to eliminate or confirm conditions that the bundled annual tests signal?

Today, we share our AI doctor for the first time The future is an AI that knows more about your body than any human ever could. 247 commits. 140,000 lines of code. Months of engineering. Here it is:

Clay, Apollo, Clearbit, Trigify, Warmly → 11x, AiSDR, Ava, Regie, Mosaic → Vector, HockeyStack, RB2B, Crossbeam → Gong, Attention, Avoma, Fireflies, MeetRecord, Granola → Clari, AgilePitch, … … If HubSpot was actually leveraging their "platform", all this would be built-in.

@shauncooley @tanayj Which ones?

HubSpot’s response to the threat of AI disruption to them: • They’re a platform, not a point solution. • They own end-to-end customer context across marketing, sales, and service which allows for better AI outcomes • They're more than data: they have workflow, permissions, routing, forecasting, governance. • Easier to bring the AI to that system then bring all that to the AI • Mid-market companies want growth, not to stitch together LLMs and infra and build their own

@elonmusk @RepMichaelCloud It really is x.com/i/status/20221…

@RepMichaelCloud Fate is an irony maxxer

For reference, this is how we vote in the US House: 1) Insert photo ID 2) Press button

This looks awesome, but when is Ramp going to fix BASIC stuff like letting me fix completely incorrect vendor names and categories instead of just "reporting it" to some Ramp blackhole? Or when will Ramp automatically pull a receipt from the Bill Pay section when the bill is paid with a credit card, match it, and mark the bill as paid in Bill Pay? It is like every section of Ramp was built by a totally different company and none of them talk to each other.

There are two non-negotiables in accounting: the books must be correct, and they must be ready on time. For decades, companies have satisfied those constraints through an extraordinary amount of manual effort. Highly trained professionals code transactions, re-approve familiar expenses, reconcile mismatches after the fact, and compress all of it into the ritual of month-end close. It works. But it is fundamentally retrospective. Today, @tryramp is introducing an Accounting Agent designed around a different premise: what if bookkeeping happened as the business operated, rather than after it? The agent captures, codes, reviews, validates, accrues, and reconciles spend continuously. It learns directly from the people who understand the nuances best, the accounting team itself, and applies that context in real time. At @perplexity_ai, where velocity is part of the company’s identity, this has allowed their team to stop choosing between speed and accuracy. The majority of transactions are now coded automatically while remaining audit-ready, enabling close to start on day one instead of day thirty. What’s been most striking is how the system learns the subtle, company-specific logic that historically lived only in human judgment. As Jim Romano, CFO at @statesidevodka, described it, the agent is already identifying patterns like when spend belongs in samples rather than travel and entertainment — the kinds of decisions that typically require institutional memory. As he put it, the goal is simple: finance teams should focus on exceptions, not the easy stuff. We’re also seeing the second-order effects emerge quickly. Teams report spending dramatically less time reviewing transactions and substantially more time on planning, analysis, and growth. As one CFO told us, “What used to take hours of manual review now happens automatically. I’m spending nearly all of my time thinking about where the business should go, not retracing where it’s already been.” There is a broader shift underway in accounting. The central question is moving from “what parts of close can be automated?” to “should close even be a discrete event at all?” One belief that increasingly guides our work at Ramp is that information latency inside companies is an invisible tax. When financial truth lags behind operational reality, organizations make slower and often worse decisions. As transaction data becomes inherently digital and systems become capable of learning institutional context, continuous close stops being aspirational and starts becoming inevitable. One thing that surprised us while building this: accounting isn’t constrained by a lack of rules — it’s constrained by how many of those rules are unwritten. Much of financial operations lives in patterns that experienced teams simply know. Seeing software begin to absorb and apply that tacit knowledge has been one of the clearest signals that accounting is entering a new phase. Accounting has always been the record for business reality. Our goal is to help it become something closer to real-time truth. Proud of the team, and grateful to the customers building this alongside us.

“The market for feeling productive is orders of magnitude larger than the market for being productive.”