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Mill Valley, California, United States
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Articles by Ted
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Engineering Reliable Intelligence: The Glade Path from Velocity to Veracity
Engineering Reliable Intelligence: The Glade Path from Velocity to Veracity
When Glade.ai founder, Kiran Bellubbi, told our engineering team, "When an attorney relies on our platform to draft a…
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Ted Mao shared thisPersonal update: I just finished my latest embedded portco role, as CTO of Glade.ai — and I’ve decided to leave VC to work on my new startup, Gumnut AI, full time. Thank you Daniel Portillo, Phin Barnes, and The General Partnership for the opportunity to work with you and so many amazing startups in our portfolio over the past 3.5 years. Now with the experience and perspective of working on both sides of the startup ecosystem, I truly feel prepared to build something on my own. I published a blog post this week about my recent work on Gumnut: https://lnkd.in/gvus5e7f Feel free to like/subscribe, or whatever people do these days, if you're interested in following along!Full Speed Ahead: MCP App and Immich CompatibilityFull Speed Ahead: MCP App and Immich Compatibility
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Ted Mao shared this3 months ago, The General Partnership made an investment in Glade.ai, and I joined Glade as CTO to help accelerate the company on its path to success. As a follow-up to Kiran Bellubbi's post on https://lnkd.in/gzyqAG29, here are my thoughts on where we're going with Glade Engineering — our challenges, our successes, and what's next.Engineering Reliable Intelligence: The Glade Path from Velocity to VeracityEngineering Reliable Intelligence: The Glade Path from Velocity to VeracityTed Mao
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Ted Mao shared thisI was super excited to see that OpenAI launched Developer Mode (https://lnkd.in/guTr-X5s) today — so I went go to try it with Gumnut. Check it out:
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Ted Mao shared thisEarlier this year, I started working on a side project called Gumnut, around the theme of photo intelligence: the idea that AI can use photo understanding to enable businesses and people to do things that were previously considered impossible, incredibly time consuming, or too expensive. Since then, I’ve been splitting my time between product discovery and building. I’ve had the privilege of speaking with many passionate and insightful people about their use cases, pain points, and ideas for products in the space. There’s clearly a lot of pain, especially in workflows around curation of photos and creation of digital and physical goods from photos. There’s clearly a lot of opportunity as well. Behind the scenes, I’ve been prototyping what a photo intelligence platform could look like and do. I recently finished a milestone that I’m particularly proud of: enabling agentic workflows around photos. I can now ask Claude to organize, label, and curate my photos — exactly the way I like them. I can run background agents to automatically categorize new photos and share them with the right people. And I’ve enabled third-parties to do the same, through the OAuth authenticated MCP server. I wrote a longer post about it here: https://lnkd.in/dgkqhFaM If you’re interested trying out the platform or hearing more about what I’ve built, let me know!
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Ted Mao reposted thisTed Mao reposted thisToday Finix is excited to announce we’ve raised $75M in Series C funding led by Acrew Capital and co-led by Leap Global Partners and Lightspeed. When we started Finix, we were big believers in the developer movement. We still are! Since then, we’ve recognized that there’s been a major shift in the market. Even businesses that have developers don’t want to spend their time or resources on payments — they want highly brandable and configurable payment components. From startups to publicly traded companies, merchants to vertical SaaS companies, customers of all sizes are taking advantage of Finix’s no-code solutions. Today, every feature in Finix's broad product suite is now available in no-code, low-code, and API-driven solutions. If Adyen is for the enterprise, Square is for card present SMBs, Stripe is for the developer-centric startup, Finix is for the 22M businesses without enough developers. Read more here: https://hubs.ly/Q02VFwqb0
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Ted Mao reposted thisTed Mao reposted thisThis is the coolest thing I've seen in healthcare in a long time. Thatch let's employers replace bulky, expensive, traditional group health insurance with individual accounts that let every employee pick exactly the plan they want from any plan on the market. No more "my doctor or medication isn't covered" for people and their families. Current customers are bending the cost curve on benefits, saving 20-30% per year. Congratulations to Chris Ellis, Adam Stevenson and the whole team on their latest financing! https://lnkd.in/gBmYSay8Thatch raises $38 million Series A led by General Catalyst and Index | Thatch BlogThatch raises $38 million Series A led by General Catalyst and Index | Thatch Blog
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Ted Mao shared thisCongratulations to the Thatch team on their Series A milestone! I'm excited to be part of this journey to provide personalized, affordable health benefits!Ted Mao shared thisWe are thrilled to announce our $38M Series A led by General Catalyst and Index Ventures and with participation from other great investors such as Andreessen Horowitz, Avid Ventures, and The General Partnership. We will use these funds to build a brighter future for the U.S. healthcare system, where employers can provide better health benefits for less money, and employees can keep the same great benefits from job to job. Thatch is on a path to being the default platform every forward-thinking company uses to provide health and wellness benefits for their teams. Read more about our announcement here: https://lnkd.in/e5V-sgZH
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Ted Mao shared thisThanks Richie Serna! I appreciate the sentiment, and I've really enjoyed working closely with you and the Finix team!Ted Mao shared thisToday we're announcing our 2nd fund (300M) at The General Partnership. I'm eternally grateful to Reid Hoffman who put us in business, my co-founder Phin Barnes for being a great friend and partner, our builders who bust their butts every day supporting portfolio companies and the founders who have taken a chance on an upstart firm. Latino First generation college student from a public university Recruiter Basically the anti-resume for venture, yet here I am. https://lnkd.in/gfmE4HXt
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Ted Mao shared thisExcited to announce our second fund today! It's been amazing working with The GP team and and our portfolio companies!Ted Mao shared thisAnnouncing: $300M raised for The General Partnership's Fund II When we launched The General Partnership, we aimed to redefine venture capital partnership and closing this second fund is one more step toward that vision. Working with Daniel Portillo and our team of industry veterans, we've shown that true partnership goes beyond capital. Our approach is unique: We offer customized support for each company's needs - recruiting, product and engineering, GTM and Capital. We give founders the resources they need with capital and by deploying experienced recruiters, engineers, designers, and GTM leaders to work with leaders at each startup. We maintain alignment with founders through our Sweat Equity model. To our founders: Your trust validates our model. We're committed to driving your success through hands-on work, not just checks. To our LPs: Thank you for believing in our vision. Your support enables us to continue redefining VC and supporting the best as they build their companies. With Fund II, we're doubling down on supporting founders from formation to breakout stages and if you’re a builder, Let’s run it back! More here from Dan Primack and Axios https://lnkd.in/gcn9U9s5 And our note on TheGP II here: https://lnkd.in/gTJ8pyZuThe General Partnership, a VC firm focused on "sweat equity," raises $300 million for second fundThe General Partnership, a VC firm focused on "sweat equity," raises $300 million for second fund
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Ted Mao liked thisTed Mao liked thisMy user count grew 800% in 4 weeks. Not because I rebuilt the product, but because I stopped hiding behind it. For the first 5 weeks after launching ApplyFYI, my growth was basically a flat line. I wasn't doubting the product. I was frustrated because I just wasn't getting the words out. Then I met this amazing girl, Elaine L., who challenged me to hit 1K users in 8 weeks. I don't know if I'll make it, but something clicked. I started: → Tapping communities that would find the product helpful → Creating content and sharing insights that help job seekers focus their search → Moving my user feedback loops into the open and following up on every request right away None of this was marketing in the traditional sense. It was just being helpful in public. If you're a builder who keeps shipping instead of showing up: your product doesn't need to be perfect. It needs to be known. And the best way to be known is to help people before you ask them for anything.
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Ted Mao liked thisTed Mao liked thisThe best part about moving back to the Bay? The people. Founders, investors, old friends, new friends — I just had one of those nights where old friends feel like family and new friends feel like old ones. We laughed way too hard, swapped stories about startups, life, and everything in between. So good meeting you all last night — grateful for the fun time.(Ruhua Jiang Jinjin Niu Mandy Wen Davin YC Dong Claire (Wei) Zheng Bill Sun Laura. L David Yin Qinmin L. Xingyu Lin, apologies if I missed you, we need AI tool to help me tag everyone in the photo). I recently moved back to Silicon Valley to go all in on Voice Cursor. And honestly? The thing I missed most wasn't the weather or the food. It was nights like this — real conversations with people who get excited about building things. Still getting reconnected with the valley — shoot me a DM if you wanna hear about what we're building or just wanna grab a coffee. #SiliconValley #Founders #BuildInPublic #BayArea #voice
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Ted Mao liked thisTed Mao liked thisFinally, I can share what I’ve been up to: I joined Highlight as CEO and we raised a $40M Series A led by Khosla Ventures, along with 359 Capital, General Catalyst, Common Metal, and Collaborative Fund. This journey is extremely personal to me. I spent 8 years scaling Discord and got burnt out because modern work is broken. We’re overwhelmed with too much info, most of it low signal noise, and it gets worse the larger the org. AI sped this up, and existing tools just added more places to prompt. We’re on a mission to fix this by doing the busywork for you. We’re building AI that you don’t have to ask, because it already knows what to do. An AI that watches you work on your screen, in meetings, and between apps, connects the dots across your team, highlights what matters, and drafts actions before you ask. Meet Highlight: A shared intelligence layer that knows your team and handles the noise. I feel lucky to be building this together with an incredible team: My co-founder Joshua Lipson, along with Sam, Julian, Sarah, Sam, Vaun, Michael, Vasudev, and Adrian. Thank you Pim de Witte and Vinod Khosla for believing in us, as well as Nicole Fraenkel, Rico Mallozzi, Max Rimpel, Niko Bonatsos, David K. Cohen, Evan Jaysane-Darr, Sarah Guo, Ryann Lai, Tim Kendall, Stephanie Sher, AJ Tennant, Karim Atiyeh, Jesse Zhang, Josh Nabatian, Topher Conway, Ryan Scott, and Brett Browman for your support.
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Ted Mao liked thisCongrats Sergei Sorokin on your new role as CEO at Highlight! They are very lucky to have you.Ted Mao liked thisFinally, I can share what I’ve been up to: I joined Highlight as CEO and we raised a $40M Series A led by Khosla Ventures, along with 359 Capital, General Catalyst, Common Metal, and Collaborative Fund. This journey is extremely personal to me. I spent 8 years scaling Discord and got burnt out because modern work is broken. We’re overwhelmed with too much info, most of it low signal noise, and it gets worse the larger the org. AI sped this up, and existing tools just added more places to prompt. We’re on a mission to fix this by doing the busywork for you. We’re building AI that you don’t have to ask, because it already knows what to do. An AI that watches you work on your screen, in meetings, and between apps, connects the dots across your team, highlights what matters, and drafts actions before you ask. Meet Highlight: A shared intelligence layer that knows your team and handles the noise. I feel lucky to be building this together with an incredible team: My co-founder Joshua Lipson, along with Sam, Julian, Sarah, Sam, Vaun, Michael, Vasudev, and Adrian. Thank you Pim de Witte and Vinod Khosla for believing in us, as well as Nicole Fraenkel, Rico Mallozzi, Max Rimpel, Niko Bonatsos, David K. Cohen, Evan Jaysane-Darr, Sarah Guo, Ryann Lai, Tim Kendall, Stephanie Sher, AJ Tennant, Karim Atiyeh, Jesse Zhang, Josh Nabatian, Topher Conway, Ryan Scott, and Brett Browman for your support.
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Matt Rappaport
Future Frontier Capital • 8K followers
Don't Build a Better Wheat Farm" - Why Defensibility Stakes Are Higher in Deep Tech Just published a new piece on my "Ignore the Confusion" blog, building on thoughtful insights from Eric Ver Ploeg at Tunitas Ventures about startup defensibility. Eric's core thesis: Too many startups pitch like wheat farmers - "huge TAM, slow incumbents, growing market, domain expertise" - but fail to think through long-term defensibility until it's too late. From a deep tech perspective, the stakes are even higher: ** Unlike software, deep tech founders must commit to defensibility strategies from day one - their funding depends on it ** Patent vs. trade secret decisions are often difficult to reverse and shape your entire competitive strategy ** Even "picks and shovels" providers (the tools that make industries more efficient) become commodities without proper moats The key insight that resonates: Defensibility can't be retrofitted. Whether you're building software or deep tech, your moat must be architected into the business model from the start. Thanks to Eric Ver Ploeg for sharing these insights on startup strategy and letting me build on his framework from a deep tech lens. Read the full post: https://lnkd.in/dEj_iF-Q #DeepTech #StartupStrategy #Defensibility #VentureCapital #Innovation
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Steve Vassallo
Foundation Capital • 15K followers
I’ve come to believe that early experiences carry disproportionate weight - far more than we often acknowledge. For designers and builders, “minimum viable” may suffice for validating core functionality, but it rarely earns trust or sparks genuine delight. While velocity matters, I’ve always struggled with the notion that early versions should be merely viable, especially in a world where attention is scarce and emotional resonance is everything. This extends beyond product. Do you show up as the minimum viable version of yourself in your work, your relationships, your craft? I would encourage you to challenge the conventional MVP framework. Replace it with the Minimum Awesome Product. This doesn’t mean it’s fully-featured or pixel perfect. But it should be worthy of attention. Memorable, even evocative in the way it triggered emotion. The kind of product that prompts someone to say, “I didn’t know I needed this, but now I can’t live without it.” You can refine mechanics over time, but the emotional experience of a first interaction is singular and unrecoverable. Don’t settle for viability. Build something worth remembering… and make it awesome! ❤️🔥
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Paul Chiusano
Unison Computing • 2K followers
I thought this was a good and very reasonable talk by Eleanor Millman on how to prioritize projects for a platform engineering team: https://lnkd.in/gaYtUHRH A few insights I took from it: - Unlike product features which can be more directly tied to revenue, platform engineering work is a couple steps removed. But that doesn't mean it's unimportant! Far from it, platform engineering projects can make everyone at the company more efficient, able to produce higher quality software, etc. - While "urgency" is always going to be a factor, you don't want to just be putting out fires, you want be able to prioritize work which is "high impact" ... even if that impact isn't felt immediately. - Good rule of thumb: prioritize "highest impact for lowest effort". - The talk has some ideas on what factors to choose for impact, and how to blend them. For instance "speed of development" is one factor, "cloud cost optimization" might be another. The weighting of different impact factors can change over time, depending on the needs of the business. I would say that a lot of companies don't have much methodology here but I can really see the value in codifying it. You can always change the methodology or the weighting if it's spitting out results that don't pass the smell test or you really feel it is leading the company astray. Clarity can give the org more freedom to put resources behind projects that would otherwise never be taken on. When things are unclear, prioritization still happens implicitly, but the decisions tend to be a lot more random and fear-based and the org is worse off as a result.
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Bradley Jones
ThatRound • 8K followers
One of the reasons early-stage fundraising feels inefficient is that founders are forced to figure out investor fit through trial and error. Different investors back different stages, sectors, and levels of traction. And when that alignment is off, conversations either stall quickly or never really get off the ground. This is one of the pain points that we’re focused on closing at ThatRound. We help founders see which investors actually make sense for their business before they start applying for funding. Fundraising works best when alignment comes first, and this review shows how we’re simplifying the process for UK founders.
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Caitlin Bolnick Rellas
CRV • 5K followers
Last week's musings. You'll notice some reoccuring themes... 𝟭. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀/𝗱𝗮𝘁𝗮 𝗳��𝗿 𝗥𝗟 🍇 (𝗿𝗲𝗾𝘂𝗲𝘀𝘁 𝘁𝗼 𝗷𝗮𝗺) -recurring idea i've been mulling -robotics is happening particularly in industrial setting -still lots of problems, but the revolution is happening and there are work arounds until the tech is really there -prices in theory are highest they will ever be (impact of tariffs?) -folks looking for pre-training data, but eventually will also need fine tuned data -what data fidelity is good enough? 𝟮. 𝗧𝗿𝗮𝗻𝘀𝗗𝗶𝗴𝗺 𝗮𝘀 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 + 𝗲𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗵𝗮𝗿𝗱 𝘁𝗲𝗰𝗵 🍇 -it's an absolute monster, $75B market cap and up 300% over the last 5 years. - aircraft parts, 90% proprietary but high margin - killer aftermarket business - how many software biz have lifetime value of 50 years?! -has lots of things software investors look for (sticky revenue, high margin, defensibility in GTM and unique flywheel, focus, etc.) -makes me think way more about hard tech viability 𝟯. 𝗧𝗿𝘂𝗲 𝗳𝗼𝗰𝘂𝘀 - from Neil Shah on Invest Like the Best - incredible listen - few people have maniacal focus and it's so important for founders 𝟰. 𝗦𝗽𝗲𝗿𝗺 𝗥𝗮𝗰𝗶𝗻𝗴 -WTF 𝟱. 𝗖𝗼𝗿𝗹𝗲𝗼 𝘁𝗵𝗲 𝗥𝗼𝗯𝗼𝘁 𝗛𝗼𝗿𝘀𝗲 -Kawasaki released prototype and it's wild! Substack for full thoughts: https://lnkd.in/gzNtkEHk
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Neil Tewari
Conversion • 17K followers
PSA to seed and early-stage founders: stop worrying about competition. I’ve spoken to hundreds of late-stage founders, and they all say the same thing. The biggest mistake they see at the early stage is founders obsessing over who else is in their space. When you are pre-PMF, comparing yourself to other buzzy AI startups is a distraction. They already have a defined GTM motion, some level of product-market fit, and a playbook to execute. Their “big new feature” might just be about expanding revenue or building parity. You’re still trying to land your first 10 paying customers. Here’s the truth: 1. Worry about competitors only when you actively lose a deal to them. THESE ARE THE COMPETITORS TO WORRY ABOUT. 2. When a customer chooses someone else, they will usually tell you why. Nine times out of ten it’s not the reason you think. It’s rarely a missing feature. More often it’s pricing, brand trust, or timing. 3. Competitors often move in completely different directions. OpenAI went after consumers, while Anthropic leaned into enterprise and APIs. Playbooks diverge fast. 4. The only real roadmap at the early stage is customer pain. Every conversation, every demo, every user insight. Talk to as many customers as possible. If you spend your time trying to copy what competitors are doing, you will always be a step behind. If you spend your time talking to users, you’ll know exactly what to build next. The path to PMF isn’t found on Twitter threads about “AI competitors.” It’s found in the feedback from the 5 people actually using your product every single day.
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Dakota McKenzie
Dynamic Fund • 8K followers
GTM goals for early stage technical companies: 1. Be referenced often in internal meetings of your prospects (exploratory phase of adoption) 2. Be referenced often in externally facing architecture diagrams of the top companies in your market (first path to production + PMF) 3. Be endorsed often in communities as experts/influencers see 1 + 2 appear without your promotion (your real ARR + NRR story happens here) 4. Be endorsed as the gold standard by communities (moat, hang on for dear life and keep shipping and making money) #2 is v hard as things shift often, but Founder time should be with customers to make this occur as often as possible. #3 + #4 become your roadshow focus over time so you can scale your company.
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Chris Messina
Ride Home Fund, Llc • 13K followers
a friend just texted me: "Hearing there are 'senior devs' who are very skeptical of AI generated code (aka not using any AI tools) at a startup I’m interviewing with… interesting that they are still employed in a startup against this backdrop [see image]" my response: seems like there are just different games being played those who embrace AI as a medium for expressing ideas are playing the right game — they're not just treating it as a "better tool" if you've been in industry awhile, you may need an intellectual reboot to see it last night i went to a VentureBeat event; mostly enterprise folks… several people (from IBM, Walgreens, etc) asked about “change mgmt” and how to convince their teammates to adopt AI tools… someone raised the question of brown-field vs green-field opportunity w/r/t AI… is it worth it to upskill existing workers or better to just start fresh…? Great question! for people entrenched in a job fiefdom, e.g. where the power players and how to execute reliably, the perceived risks of novelty are infinite. they're not wrong, they're just not interested in changing the game they've mastered. aaand also, developers are the self-disclosed laziest people in the world. but they're incredibly productive because they'll happily spend a week automating some repetitive task so they never have think about it again. this is why generative AI and coding go so well together: the existing developer culture despises inefficiency, and is always looking for ways to cut corners in favor of a more elegant, efficient route. this is because developers are incredibly sensitive to the tiniest impediment to achieving persistent flow states. it's like noticing a typo in that green-on-black matrix screensaver and instead of ignoring it as a minor irritant, they'd prefer to rewrite the screensaver from scratch to fix it. but for non-developery roles, this gameplay is totally foreign. maintaining those impediments ensures job security. since they know how to navigate around known obstacles, their tacit knowledge is an insurance policy against obsolescence — for now. so it makes that sense that some senior devs, whose sunk costs could represent hundreds of thousands or millions of $$$ into existing, _stable_ systems might resist the quasi-non-deterministic output of AI coding tools. except (as they say) there is more than one way to skin a cat. here's a new game to invite resistants to play: have the skeptical senior devs review several blind PRs, all submitted by “new,” unfamiliar contributors (a mix of humans and AIs), and see if they prefer the human or AI-generated code. if the AI code really is as good as many of us believe, the experience might snap them out of their sunk-cost fallacies. because until you surprise yourself with what these tools can actually accomplish—in a blind taste test—you’ll never really see what winning this new game looks like, even if it's happening right in front of your eyes.
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Teresa Torres
Product Talk • 142K followers
"Because engineers had been through brainstorming and story mapping, they were able to identify the most promising direction and find a way to implement one key piece of it pretty quickly." Want to get your engineers more involved in continuous discovery? Learn how Ellen Juhlin, Senior Director of Product Management at Orion Labs, successfully brought engineers into the discovery process. Key takeaways from Ellen's experience: 🎯 Start by inviting engineers to customer interviews as listeners and note-takers 💡 Include engineers in brainstorming and solution mapping sessions 🗺️ Use assumption mapping to help engineers focus on validating ideas 🔄 Don't worry about following a linear process - iteration is key 🎯 Begin with just one or two engineers rather than the whole team 🤝 Keep engineers connected to business outcomes Check out the comments for a link to the article. ❓ What's one small step you've taken to include engineers in discovery work? Share your thoughts in the comments below.
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Dilan Sisu
e2vc • 6K followers
to forward-deploy or not to forward-deploy… this week i’ve been thinking a lot about the conversations around hiring forward-deployed engineers, especially what a16z calls the Palantirization of SaaS it’s a tempting response to a real problem: many enterprises still aren’t ready to actually work with AI, even though they say they are but sometimes the solution we reach for comes with its own cost adding a forward-deployed layer can create real value, or it can quietly add complexity, especially for a young company that’s still figuring out what its product wants to be let me know what you think, I know it will be controversial 🙄
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