Josh Kopelman

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Josh Kopelman

Josh Kopelman

@joshk

Father. Husband. VC. INTJ. Dad Joke Lover. Partner @FirstRound.

Philly Katılım Mayıs 2006
6.1K Takip Edilen149.9K Takipçiler
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Ivan Burazin
Ivan Burazin@ivanburazin·
As a founder, your number one job is to eat shit. You're on the call with the upset customer. You need to fire people by telling them directly. You're listening to the engineer who wants to quit due to burnout. You have to read the 40-page vendor contract, which is a nightmare to go through. Every hard, uncomfortable thing lands on your desk. That's the whole job. You're here to absorb the bad stuff so everyone else can keep moving.
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Dan Primack
Dan Primack@danprimack·
On private equity and the #Celtics: Yes, Bill Chisholm is a PE guy. So were Pags and Wyc. One big difference is that Chisholm had less $$, so needed institutional PE (which Pags warned about). Yes, but: The firm Chisholm partnered with is Sixth Street -- which also owns part of the SF Giants, the club that took on tons of salary w/ Rafael Devers (a Red Sox salary dump). Anyway, it's a vomitous deal (unless another shoe drops). With or without PE involvement.
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Bill Trenchard
Bill Trenchard@btrenchard·
Over the last decade, we’ve built robots that can run marathons, harvest food, and even dance. But robots still aren’t very good at the simple tasks we use our hands for, like unpacking groceries or tying a shoelace. Most rely on simple grippers that aren’t much better than a claw machine. Dexterous manipulation has long been one of the hardest unsolved problems in robotics, but humanoid robots need it to be useful in the real world, from warehouses to homes. The traditional approach to training robotic hands involves collecting data through teleoperated robots, but it’s expensive, slow, and unscalable. @_jaku_xu and @JayLiStanford Li got to know this problem well while building humanoid robots at Tesla, where they had the idea to flip the paradigm: instead of having a human control a robot via teleoperation to train AI, they wanted to get better data from actual human hands. With @proceptionAI, Jack and Jay have built the hand that robots have been waiting for: ProHand. They worked closely with hand surgeons to get the anatomy right, using the latest hardware breakthroughs like “soft,” skin-like sensors and finger actuation that mimics tendons. When they showed ProHand at Y Combinator Demo Day, everyone kept asking them whether there was a human underneath the table with their hand sticking out. They’ve also built a data layer with ProGlove, a sensorized glove that humans can wear to collect real motion data to train ProHands — because the ProHand so closely resembles a human hand, a human can wear the same glove that covers the robotic hand (no robot in the loop required). Proception is officially shipping ProHand and ProGlove to researchers and robotics companies today. I’m proud that @firstround got to lead their Seed Round, alongside BoxGroup and Y Combinator.
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Lexi Rovner
Lexi Rovner@lexrovner·
We’re launching LV Apex Suite today, our second Apex Suite after AAV. Each new modality adds data on what’s shared, what’s different, and how to engineer production systems in an integrated way. That’s tied to a core view at @64xbio: Cell lines, reagents, and process aren't separate levers, they're interdependent parts of a single production system. If we want better productivity, quality, and scalability, we need to understand and engineer that system more holistically. That’s what we’re building toward with CellMap: data-rich experimental maps of production biology that we can learn from computationally, to guide the design of better cell lines and reagents. Biologics are next, and existing suites will keep expanding with additional tools. With this, we’re also growing our commercial and ops teams. If you’re excited about building next gen biomanufacturing tools, DM me. Incredibly proud of the team today for all the work behind this launch. Much more to come.
64x Bio@64xbio

New product launch: Today we’re launching LV Apex Suite, a new product suite for lentiviral vector production. This marks 64x Bio’s expansion from AAV into LV — and another step in translating our CellMap-driven VectorSelect platform across new modalities. LV Apex Suite begins with a high yield engineered HEK293T suspension cell line for transient LV production, with stable systems and additional production-enabling technologies in development. More broadly, this launch reflects where 64x Bio is headed: expanding CellMap as a data foundation for production biology, and learning from those data computationally to iteratively guide development of better cell lines, reagents, and production systems for viral vectors — and soon, biologics. To learn more about LV Apex Suite, read our press release below and visit 64xbio.com/lvapexsuite. Press release: 64xbio.com/articles/64x-b…

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Todd Jackson
Todd Jackson@tjack·
Back in 2013, when I was starting Cover, I was introduced to @bryantchou. I was so impressed by his technical chops and raw intensity that I tried to hire him as our founding engineer. He politely declined to start his own new company instead, called Webflow. But we stayed in touch. I followed his journey at Webflow for the next 12 years, watching him flourish as co-founder and CTO — but also the person who ran sales and marketing during the company’s fastest period of growth. He’s one of those rare engineers who understands the product, the customer and business equally. Today, Bryant is launching Ploy (@ployai), and @firstround is proud to be backing it alongside Y Combinator. Most marketing teams spend more time on operations than creative execution. Bryant felt this pain acutely at Webflow, which some marketers call “measureship” — stitching tools together, building dashboards, chasing attribution. So much of the craft of marketing gets buried in this overhead. Ploy is a marketing platform that treats your website as the hub and all your growth channels as spokes. Agents handle the work end-to-end: designing pages, writing copy and running campaigns. It creates a loop that brings your static website to life, learning from traffic and acting on signals in real time. As agents browse on behalf of users and LLMs summarize your content, your website is the source of truth they pull from. It matters more in the AI era, not less. Hex is already using Ploy for account-based marketing, scaling the creation of personalized landing pages without waiting on engineering. Clay uses Ploy to run programmatic SEO, turning one-off builds into a content engine. Congrats to Bryant and the whole Ploy team. Insanely excited to see where this goes.
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Josh Kopelman
Josh Kopelman@joshk·
No AI tax needed. Graduate corporate tax rates based on the ratio of profits to payroll. A firm earning $1B with $500M in payroll shouldn't pay the same tax rate as one earning $1B with $5M in payroll. If profits decouple from labor, corporate tax rates should adjust accordingly.
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Vinod Khosla
Vinod Khosla@vkhosla·
Post 2030, add token taxes of 20% on AI compute and robotic labor substitution. I'm not a fan of innovation taxes. But if AI displaces the payroll base, a compute-usage levy is the corrective: an estimated $150-200B per year within five years.
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Vinod Khosla
Vinod Khosla@vkhosla·
I'm a technology optimist. I’ve spent four decades studying disruptive innovation, from the microprocessor, the internet, mobile phones to OpenAI. I'm certain AI will do 80% of the economically valuable work humans do today, for 80% of all jobs, faster than most believe. The question isn't whether mass underemployment arrives, but whether we have a policy framework ready. Right now we don't.
Financial Times@FT

We will need a new tax code for the wealth AI creates ft.trib.al/999yn2u

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Liz Wessel
Liz Wessel@lizwessel·
Founders: what is one piece of tactical advice (I'm not talking "try hard" or "don't give up"... i mean a small, simple, tactical piece of advice) that can make a founder's life easier, even just slightly? I'll give a few popular examples:
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Todd Jackson
Todd Jackson@tjack·
The demand for clean, always-on power is exploding, and the grid can't keep up. The team at Endurance Energy is going after one of the biggest untapped sources on the planet: geothermal heat beneath the seafloor. They're building systems to deliver gigawatts of zero-emission power faster and cheaper than conventional sources. Today, they're announcing $54M Series A funding. At @firstround, we're excited to have backed Andrew Redd and the team since the pre-seed. Huge congrats!
Endurance Energy@endurancegeo

Endurance is proud to announce our $54M Series A, led by @foundersfund, to develop subsea geothermal energy. We're building mass-manufacturable and mass-deployable generators to access terawatts of low cost, clean, baseload power.

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Nate Dalva
Nate Dalva@dalvabaird·
Human biology matters. Scientists and AI need human data to understand health and disease. Crownlands is open sourcing Gateway 4M, the largest single-cell tissue dataset ever released from living humans, to advance research on brain aging and neurodegeneration.
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Liz Wessel
Liz Wessel@lizwessel·
There are few people in the world I've met who are as dedicated, intense, and ambitious as @SurbhiSarnaSF. I had the honor of first getting to know Surbhi when we were both working at YC, and it was so obvious from my very first interaction that she was someone who would leave a massively impactful mark on the world. Then you have @nateps -- one of the smartest, kindest, and most genuine people out there -- who also happens to be an EPIC builder. Put them together, and you get an unstoppable team. I am so thrilled for the entire Collate crew on this huge financing milestone. I know Collate customers have been loving the platform, and I can't wait for so many more people to experience it soon. forbes.com/sites/innovati…
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Liz Wessel
Liz Wessel@lizwessel·
This has to be a top 3 most memorable startup video I’ve seen…
Jake Bolling@jakebolling

Today I’m thrilled to announce Scotch has raised a $20M Series A, led by VMG Partners, with participation from @firstround , @LererHippeau , and @TobaCapital . In 2024, we set out to fix something that's been broken for 30 years: the technology running America's 40,000+ independent liquor stores. Most of those stores operate on POS software built before the iPhone. Before Amazon was founded. In some cases, before the store owners themselves were born. Since launching our first store ten months ago, we've crossed $1 billion in annualized gross payment volume. That number tells us two things: (1) The problem is real, and (2) operators are ready to move. Store owners are quite literally blowing up systems they've used for two decades to partner with Scotch. While these milestones are fun to celebrate, they're far from what we're focused on. We think about the calls from owners and GMs who used to spend Monday mornings buried in distributor invoices, line by line, for hours. Now they spend that time looking at margins, planning reorders, and growing their store. That's what we built this for. Our CTO, Dan Chen, spent more than a decade in liquor tech, including CTO at Drizly before its acquisition by Uber. Kevin Hodges and I built Skupos in convenience retail. We didn't stumble into this category. We picked it on purpose, and we built the team to win it. This round lets us keep building faster and with more intention. More automation. More time returned to the amazing people running these stores. Independent liquor retail is an $80B market that technology has ignored for a generation. Tens of thousands of stores will be getting the technology they deserve. We're just getting started. scotchpos.com

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Liz Wessel
Liz Wessel@lizwessel·
I remember first meeting @jakebolling & being 'wowd' by his desire to transform an otherwise overlooked industry. We knew we had to invest. 12 months later, Scotch launched. 3 months after that, pre-empted for their A. Now, Scotch has passed a $1B GPV run-rate. Scotch is quickly becoming the defacto operating system for liquor stores nationwide. Kudos to the entire Scotch team, and a big 🍻 to Jake — one of the best operators out there.
Jake Bolling@jakebolling

Today I’m thrilled to announce Scotch has raised a $20M Series A, led by VMG Partners, with participation from @firstround , @LererHippeau , and @TobaCapital . In 2024, we set out to fix something that's been broken for 30 years: the technology running America's 40,000+ independent liquor stores. Most of those stores operate on POS software built before the iPhone. Before Amazon was founded. In some cases, before the store owners themselves were born. Since launching our first store ten months ago, we've crossed $1 billion in annualized gross payment volume. That number tells us two things: (1) The problem is real, and (2) operators are ready to move. Store owners are quite literally blowing up systems they've used for two decades to partner with Scotch. While these milestones are fun to celebrate, they're far from what we're focused on. We think about the calls from owners and GMs who used to spend Monday mornings buried in distributor invoices, line by line, for hours. Now they spend that time looking at margins, planning reorders, and growing their store. That's what we built this for. Our CTO, Dan Chen, spent more than a decade in liquor tech, including CTO at Drizly before its acquisition by Uber. Kevin Hodges and I built Skupos in convenience retail. We didn't stumble into this category. We picked it on purpose, and we built the team to win it. This round lets us keep building faster and with more intention. More automation. More time returned to the amazing people running these stores. Independent liquor retail is an $80B market that technology has ignored for a generation. Tens of thousands of stores will be getting the technology they deserve. We're just getting started. scotchpos.com

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Josh Kopelman
Josh Kopelman@joshk·
In just a few months @TownAI has transformed how I (and most of @firstrouhd) get work done. Congrats to the entire Town team on their $55M Series A!
Todd Jackson@tjack

Back in February, I got early access to @TownAI. Now 93% of @firstround is using it. There was never a top-down mandate — it went viral inside First Round the way great products do. Today, Town announced its $55M Series A. Huge congrats to @jgreze, @tonydevincenzi and the whole team! It’s hard to imagine getting my work done without my Townie “Brock” helping me. Here’s how Town took off at First Round: 1) Most AI assistants want you to come to them. Town comes to you. It learns how you work and then starts working. After connecting email, calendar and Slack, Town gives you a briefing — who you work with most, what’s high priority, your communication style and patterns. Everyone gets a custom version of this. Connect Town to more tools (Granola, Notion, Google Drive, etc.) and it starts drafting perfect emails and nailing investment snapshots. Customization even extends to “Townies,” the names, avatars, and personalities people assign their Town assistants. 2) First Rounders create routines in Town to solve real problems…then share them. Chiefs of staff were nodal users. Town is a glass of water in the desert for them. So much of their work is processing email, filling out updates, checking spreadsheets and gathering context. Town does this natively. Roy Rosin, one of First Round’s board partners, automatically tracks all his follow-ups (“commitments I made to founders”) at the end of each day. We share new routines in a # town-square Slack channel so it’s easy for other people to use the same routines the chiefs or Roy created. 3) Town works for every function — even people who’d never set up Mac minis to get the benefits of using agents. Our finance team saves hours on repetitive work it can now automate. Our marketing team tells me it “essentially replaced Claude and ChatGPT” for them. Without skills or markdown files but with persistent memory, the more you use it, the better Town gets over time. A few specific routines we’re using across First Round 👇

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Josh Kopelman
Josh Kopelman@joshk·
One of @firstround's founders is hiring a Founder's Associate -- and it's one of the best front-row seats in tech right now. If you aspire to be a founder one day or are looking to break into tech, this role is one of the fastest ways to learn -- and an opportunity to drive real impact at the 0 to 1 stage. Work with a technical YC founder on AI infrastructure. SF, in-person. Apply here: jobs.ashbyhq.com/firstround/3cb…
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Josh Kopelman
Josh Kopelman@joshk·
Watch @CNN take a test flight on @MerlinAero's autonomous plane. The plane's AI pilot controls the plane from takeoff to landing -- and responds over the radio to air traffic controllers.
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Brett Berson
Brett Berson@brettberson·
In venture investing there are few things lower status than being a seed investor these days.
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Brett Berson
Brett Berson@brettberson·
There are a small number of elite go to market leaders. Graham Moreno is one of them. He recently joined @p0 to help lead GTM. Before that, he was at Cognition, Grafana, and MongoDB. One of his core philosophies is that a great go to market system raises the floor and introduces predictability while still leaving space for exceptional people to use their judgment to delight the customer. “One of my favorite stories is, one of the best reps I’ve ever worked with, during the pandemic found out that the son of a champion at one of his companies had been taking guitar lessons and couldn’t anymore because of COVID. So he ended up teaching this guy’s kid guitar over Zoom during COVID. And he also didn’t tell anyone. No one found out about this for a long time. Then the champion at this account brought it up on a call with me six months later and was like, ‘Oh yeah, Isaac has been teaching my son how to play guitar.’ At no part in our process does it say, ‘teach someone guitar.’” This is one of my favorite deep dives on what it means to be an executional revenue leader in a post AI world. Hope you enjoy it as much as I did. Timestamps 00:32 Has the sales playbook changed in the AI era? 02:13 Why "showing up" beats letting the marketplace decide 06:50 Why great salespeople sell to engineers and executives in one motion 11:37 Selling to AI-native buyers who grew up on ChatGPT 13:49 Same seller, different tempo: 8 weeks vs. 8 business days 15:57 How AI-native buyers handle build vs. buy decisions 17:48 The rep who taught a champion's son guitar over Zoom 19:03 Raising the floor without capping the ceiling 22:09 Why too much process narrows the kind of seller you attract 25:46 The three pillars of GTM excellence 31:00 Building peers who are 80% aligned, not 100% 38:03 Whether AI is changing what good enablement looks like 41:35 Selling against direct and implied competitors at once 42:45 Instrumenting the funnel from stage zero to close 45:57 Why post-sales should always roll up to the revenue leader 48:19 The case for outsized commissions 52:02 The 96 hours of panic before Cognition acquired Windsurf 53:04 How far out should a GTM leader be planning? 57:53 What a normal week looks like in hypergrowth
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