Founder/CEO @ https://xitter.cf/t.co/4AweBUVK4U (@reforge) Advisor @ https://xitter.cf/t.co/sE5dEYSdC3 (@LongJourneyVC) I write @ https://xitter.cf/t.co/me2dXouqh4

San Francisco, CA
Joined January 2008
I’m excited to announce that @reforge is joining @MiroHQ . 10 years ago @andrewchen and I ran the first Reforge Growth Series. What started as a single course has grown into a community of over 100,000 alumni and SaaS products used by product teams everywhere. A couple of years ago, we recognized how big of a shift AI would be. Not just a technology shift, but a knowledge shift. Every product team would need new tools AND new knowledge to navigate the biggest transition our industry has ever seen. Joining Miro lets us accelerate everything we've been building. Their user base of 100M+ individuals and 275K organizations will give Reforge community, partners, and products incredible reach. I’m excited for the next chapter. Reforge Learning will remain a separate brand and community, dedicated to bringing expert-created and expert-led courses on the most important topics in tech. We'll continue expanding our AI, product, and growth courses while adding new topic areas. Reforge Insights, Research, and Build will be integrated into the Miro platform as part of the Product Acceleration solution, giving current Reforge customers access to even more tools to accelerate their product efforts. While the journey continues, I want to take this moment for some personal thank yous, because Reforge has never been a one-person effort. To all current and former Reforge employees, I feel grateful to have worked with and learned from so many of you along this journey. Thank you for all of your contributions. To Andrew Chen, who was my original partner, co-creator, and first Reforge investor. He took a bet on me and an idea before there was anything to bet on. Reforge wouldn't exist without him. To Casey Winters, Shaun Clowes, Kevin Kwok, and Elena Verna, who took the early leap as our first course creation partners. They shaped how Reforge thought, taught, and built. 90% of what I know about product and growth comes from them. To Adam Fishman, Darius Contractor, Fareed Mosavat, and Lee Jacobs, who have been the endless optimists and cheerleaders in the background, even in the worst moments. Every founder needs people like them. To the HubSpot Alumni Network — Dharmesh Shah, Brian Halligan, JD Sherman, Christopher O'Donnell, Michael Pici, Katie Burke, Kipp Bodnar, Kieran Flanagan, and so many others. The depth of support from this group has been an extraordinary force behind Reforge from the very beginning, and unlike anything I've experienced. And to all Reforge investors who supported me along the way. Jeff Horing, Dave Balter, Rob Go, Gautam Gupta, and so many others.
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How I became obsessed with Jev and the point I think everyone is missing in using decision models.
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"Execution is the only moat" is a good way to sprint to the endgame, only to realize the business is not defensible Moats are getting re-rated by AI, but there are still many viable paths, and startups shouldn't ignore them Momentum is Not a Moat: danhock.co/p/momentum-is-not…
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i just want to take a moment to give a shout out to the long journey crew, truly exceptional in every way. from cyan, to mike, to lee, they dm’ed me so early when my account was super tiny & included me in awesome things they do like reverie. i am deeply appreciative of it. they embody the definition of early believers.
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Replying to @HarryStebbings
Haven't listened to the entire pod and don't focus on SaaS, so I may be misunderstanding some of the points, but ecommerce is historically one of the worst growth models to scale. The category is considered largely uninvestable by VC as a result (of course there are outliers like Quince). Why is that? When product is static and ads are your only path to growth, you typically target the best customers first online. Great conversion, great activation, great LTV and therefore great payback periods. But to scale growth, you have to widen the circle and target less ideal customers on less ideal channels. Conversion gets worse, activation gets worse, LTV get worse and payback balloons to untenable levels. This is not mention algo changes, and the ease with which competition can copy in this model. Very few are able to scale reach on social without a hefty paid / influencer budget. The Superhuman example falls flat for me as I consider that exit a suboptimal outcome given their initial traction. But it might have been a miraculous save to do what he did there when he arrived. I don't know. This gets into why distribution is the only moat is a problematic statement also. The best solution to scaling paid is a product that gets better faster than the customers you target get worse. That tends to happen with network effect businesses. So scaling marketplaces with paid has been a dominant strategy, doubly so if raising capital is cheap (along with other channels like SEO, incentived referrals, sales). Network effects are still the best moat even though they have been rare with AI companies (data, cross-side or direct opportunities are theoretically there, but not seen much in this first wave). They are not always possible in SaaS vs. marketplaces/consumer networks though. But I'd be much more bullish on SaaS that can go multiplayer early. Outside of network effects, products that get leverage out of their product in other ways for acquisition are much preferred to me than the ecomm model. Invitations, people creating content through your product and sharing it or high AOV that can support sales all seem much more sustainable. Don't get me wrong. They all have their downsides as well. No free lunches in growth. That's why at scale I want to be able to leverage as many of them as possible and not locked into one. I also dislike that when we talk about growth, we only talk about acquiring customers. Improving conversion, activation, engagement, and monetization makes every form of acquisition a lot easier because you have more engaged users to get to do things to help you grow or just a lot more of their money to reinvest. If what he really is implying is when I do paid, I want to treat everything like performance marketing, I couldn't agree more. While you should infuse brand into everything you do, of course (and that will compound in value over many years), when you measure everything based on fully loaded payback period instead of saying "oh it's just for awareness", you build a discipline of understanding what is actually working and learn how to test to find out what works and resonates properly. And you can extend that to a lot of channels people typically consider brand channels e.g. OOH, TV. There are actually lots of ways to measure the incrementality there. Most startups fail to build the muscle there they should, but you tend to see the most skilled people here in ecommerce or marketplaces, not in SaaS. Bringing that discipline into SaaS and leveraging these traditionally ecomm channels alongside traditional PLG techniques and sales is something I'll always recommend.
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Internet, help me help a new entrepreneur. Anyone in my network that has experience in CPG food space? I have a friend who's created a new food product. They've refined the recipe, done test runs in home kitchen, branding/packaging, and marketing tests. They are trying to figure out the next step but totally new the space. They are deeply creative and very motivated (former pro athlete). They just need a little help getting connected and learning in the space. If you'd be up for a 20 min call, reply or DM me. I would VERY appreciative.
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On this topic: I think more CEOs should get comfortable just saying “this is the way I’m personally most effective, and since I’m the CEO and need to run the company, we’re going to organize around my preferences.” I’ve seen leaders who are garbage at remote management thrive as in person leaders, but they try to justify it through absolute statements about effectiveness vs just saying sorry homies this is how I roll and I’m king of the castle.
I’ve been on a webinar breastfeeding a 10 week old, ran an all hands with a four year old literally climbing my shoulders, shipped code with a baby in a carrier, podcasted w a quiet 9 year old in the corner, approve PRs while doing the sleep lady shuffle (iykyk), skill issue.
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100%. I was talking about this in early 2025. Only things that were (and still are mostly) was pure PLG to an individual or full FDE motion to get through these gates. The middle is brutal.
Let me give some "behind the scenes" as to why AI ROI is so elusive. Even if the AI works, you have to navigate the "Seven Gates of Software Hell". I ran AI for a company that managed a huge portion of the world's communications data for financial services companies. This is an excruciating read but the realities are tough. Let's get started. Suppose you want to scan all of your communications for customer complaints and respond quickly. Here's your journey: Gate 1: Data Controls Various geographies require the data to be stored in-region, and in some cases, only accessed in-region. You may need separate AI deployments for each one. The data may need to be scrubbed for PHI/PII and will need to be scrubbed for Material Non-Public Information. If it leaves the System of Record you'll need to ensure there is a way to selectively delete data so that you can adhere to GDPR, CCPA or PIPL. Gate 2: Data Quality Even if you get controls in place, you discover that your data is coming from 8 different vendors. Some are real-time, others T+1 and they all have different APIs. To boot, your corporate directory has 4 identities for Brandon Carl that have never been merged so you can't properly query even a single person's data. Gate 3: Security + Controls Given the sensitivity of the data you're sending, you'll need to go through an extensive security audit. Since this is an LLM you'll need to look beyond SOC2 and into OWASP Top 10 LLM risks and Gen AI risks too. Gate 4: SLAs Your AI Agent calls are taxing your system with bursty volumes and risking your mission-critical production workloads. You may need to set up read-only replicas, throttling and overage billing. Gate 5: Vendor Risk Your vendor will be assessed for their financial viability as well as the controls they put in place. This may go as far as analyzing the vendor's software development processes. Gate 6: Legal + Procurement You've almost made it, but procurement needs to demonstrate that they are saving the firm money. Negotiations come down to the end of the quarter. Redlines are flying everywhere to meet your firm's AI policies and to ensure there's no training on your data. Gate 7: Model Governance The AI/ML models need to be assessed versus your firm's Responsible AI Policy. And if you're going to automate things get really tricky. The model needs to be assessed for Materiality, Autonomy and Complexity. You may need documented evaluations, extensive model documentation and champion challenger comparisons performed by your own internal AI teams. ––– You've made it this far, congratulations! While you've been working through the "7 Gates of Hell" you've had to manage a team of workers you know you're going to fire to justify the AI spend. This requires coordination with HR, one-time separation costs and managing team morale for those employees that stay. Thanks @emollick for posing the question. Also see bain.com/insights/your-ai-bu…
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Today, we're introducing Lassie and $47M in funding led by a16z. We're building AI that runs small businesses, starting with doctors' offices. Lassie is already trusted by 700+ practices across the country, working autonomously to provide them with 30 hours of labor per month. To get here, we first had to leave Robinhood and Superhuman to work in offices ourselves. Here's how that went.
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More and more interesting companies coming out of Speedrun...
ok - dropping big dates/news for a16z speedrun: - starting TODAY, founders can apply for the 2026 program that runs July 27 to Oct 11 in SF here's the link: speedrun007.a16z.com/ac - we will be investing up to $1M and funding 70+ companies over the next few weeks - But there's also $5M in credits/tokens/etc from AWS/GCP/Open AI/Azure/NVIDIA/Deel/Stripe/etc. You'll also work with our amazing operating team (GTM, talent, brand, people, and more), and join our community of elite founders - we offer a Global Founders Program for international founders, to help with visas, banking support, relo recommendations - yes you can be solo (but better if you're further along, and have built a team). No you don't have to have an idea yet. Yes you have to know how to build (even if you're not technical) - Also, in other news: speedun is officially moving full-time to SF. (prev it alternated SF/LA) this is for all the obv reasons - we've continued to have an insane lineup of speakers, including the founders of Carta / DoorDash / Twilio / Figma / Zynga / Airtable / Twitch / and of course, lunch/dinners with Marc/Ben alongside a16z team - and much more - the deadline for applying is May 17!
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One of the hardest things I realise that every founder has to go through in their journey of building a venture is seeing - everyone else move on. Move on for opportunities, move on from situations, move on for their reasons, move on from conflicts, move on because they can move on. Everyone has that choice, not the founder. For founders to move on, they have to give-up. That's not how they are built, so they do all that is possible to win. Even if they win, or lose, either ways - they end up being lonely in their own journey.
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Yes. I often find the piece missing from the convo of “x people can do so much more with AI” misses the 2nd order effects of competition. The bar just increases when everyone has access to the same tech.
Interestingly, although smaller teams are able to achieve much more today, the bar for Series A has only gone up b/c of how quickly companies are scaling. The Series A bar is always relative but most founders/investors think about it as absolute.
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Cool product, built by former Reforger @danwolch. One person startup in a short period of time.
Today's meeting tools give you a transcript, but nobody tells you how you did. I'm so excited to announce Work Coach (a new mac meetings app). Work Coach helps you by: - Observing you in meetings (interviews, 1:1s, sales calls, team meetings) - Analyzing how you show up to those meetings - Identifying opportunities to improve - Replaying the exact moments from your meetings where it happened - Role play conversations (intros in an interview, asking for a raise, etc) - Interviewing your coworkers to get feedback that you're not getting I'll put the download link below.
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Today's meeting tools give you a transcript, but nobody tells you how you did. I'm so excited to announce Work Coach (a new mac meetings app). Work Coach helps you by: - Observing you in meetings (interviews, 1:1s, sales calls, team meetings) - Analyzing how you show up to those meetings - Identifying opportunities to improve - Replaying the exact moments from your meetings where it happened - Role play conversations (intros in an interview, asking for a raise, etc) - Interviewing your coworkers to get feedback that you're not getting I'll put the download link below.
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I’ve seen this floating around, most people ick-ing at this as Claude derangement syndrome. But guess what! This CEO probably just wants to get great outcomes fast, and I’d bet he’s thrilled to hear something other than “it’s not a priority” or “let me revise this and we’ll come back next week” or “thanks for the input but we have experts on the team.” Maybe your team isn’t producing work up to their standards. Maybe your company is slumping along at single digit or negative growth and the board has said it’s up or out. Maybe he’s trying to drive up AI adoption. Maybe the CEO job sucks and AI makes it more fun. Maybe AI raises the floor and the ceiling on everything. I will say I’d rather a CEO who cares about driving up quality of marketing copy than one that’s checked out. I’d rather be lead by a Claude Boi than an exec team that forms a “AI innovation committee” and is just starting their limited 2 quarter trial of copilot. I’d rather just have the answer handy “yep, we did deep research on this via ChatGPT and figured out how to automate brand assets consistently thought nano banana, do you have any feedback?” SLOP ENGINES BEWARE for sure, but I generally think folks don’t have enough insight into how corporate anxieties and power dynamics make the exec job a lonely one, and I’m not surprised CEOs are reaching for tools that shorten feedback cycles, openly brainstorm, and produces work (not more meetings.) Look. Do I think there are better styles of leadership? For sure. Do I think that means some teams don’t need a major wake-up call? No. Ok have fun. Tell Claude hi.
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Wow! As an alumni who attended the first cohort, it's amazing to see the growth, the achievements, and this bold move. Congrats @andrewchen and @bbalfour
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if every incumbent software vendor took 3%-5% of their FCF and put it towards a small but appropriately constructed labs group that worked exclusively to build net new solutions for their install base, it would solve a lot of their problems
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The AI landscape for PMs has shifted dramatically in just 6 months. I'm updating my AI Productivity course to reflect where things stand today, and here's what I'm seeing: Prototyping went from advanced skill to job requirement. Meta now includes a live vibe coding interview where candidates build prototypes using Claude Code, Figma Make, or Lovable. If that's not a signal that prototyping is table stakes, I don't know what is. Claude Code crossed the chasm. True agentic platforms have matured, and Claude Code has won on both capabilities and enterprise adoption. It's moved from experimental to essential for PMs. Discovery is the new constraint. AI has accelerated delivery so much that customer discovery and design are now the limiting factors in product development. The upside: a wave of AI tools is emerging to help PMs speed up discovery work. Data analysis is platform-agnostic. I can now analyze data with AI in Google Sheets, Excel, or directly against databases in Claude. The question isn't whether AI can help—it's which tool fits the specific task best. Presentation tools caught up. After a slow start, AI capabilities in Google Slides, PowerPoint, and purpose-built tools like Gamma are finally solid enough to meaningfully accelerate how PMs create presentations. The AI Productivity course now includes specific skill-building and detailed demos for all of these capabilities. Join the next cohort starting April 7th 👉 reforge.com/courses/ai-produ…
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Never thought that stint on the grounds crew at my local golf course in high school is going to save me from AI. Grounds maintenance FTW.
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