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I'm a member of the PayPal Mafia, one of the first hundred employees at PayPal's…
Articles by Peter
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Dating doesn't need another AI app. It needs human intuition at scale.
Dating doesn't need another AI app. It needs human intuition at scale.
Co-authored by Megan McKinley We are living through a strange paradox. Humanity has never been more connected…
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Startup Hacking
Startup Hacking
Alura is 100% Employee-funded. I have the privilege of working with four extraordinarily talented designers and three…
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Alura has been accepted into NVIDIA's Inception program.
Alura has been accepted into NVIDIA's Inception program.
In 2011, a Silicon Valley matchmaker friend introduced me to one of her clients. Over the next 15 years, I got calls…
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Peter Ashley shared thisAnother great video from Fiona; this one promoting our $100 "1st Date Subsidy". Download the Alura iOS app, talk with our AI matchmaker and we build your profile for you. When you go out on a date with a client of one of our Matchmaker partners, we contribute $100 to the date. Seriously!!!Peter Ashley shared thisDating apps make you pay for hope. We pay for your date. Elite matchmakers pay Alura to introduce their clients to our members. We put $100 of that toward every first date. Membership is always free. Apply to join: https://lnkd.in/gE4CEdph
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Peter Ashley posted thisThere's a piece in The Atlantic making the rounds about what researchers are calling the "romance recession." More dating options exist right now than at any point in history. Somehow, fewer people are finding what they're looking for. Marriage and cohabitation among young adults have dropped sharply since 1980. A large share of single adults under 40 say they rarely or never go on dates. Years ago I heard a version of this called "tinderization." The problem isn't the number of options to compare. It's that as long as more exist, committing to one means giving up the chance of something better, even if that something never actually shows up. The fantasy of the next option is enough to keep you from settling into the one in front of you. There's a famous study on exactly this. In the late 1990s, researchers Sheena Iyengar and Mark Lepper set up a jam-tasting table at Draeger's Market in Menlo Park. Some days they displayed 24 flavors. Other days, 6. The bigger display drew more browsers, but shoppers were roughly ten times less likely to actually buy. More options drew attention and killed commitment. That's dating, just with people instead of jam. A constant stream of new profiles makes it harder to commit to any one person, because the next one might be better. It rarely is. But the possibility that it might be is doing all the work. The imbalance cuts in a specific direction. One man in the piece said he felt rejected by millions of women at once. Several described an app economy running on an oversupply of male attention and a shortage of female attention, so men send likes into a void while women get buried in options. Whether that's the full picture or not, it's clearly how a lot of men experience it. On the matchmaking side, we see the opposite. Most matchmakers' clients are women, and matchmakers hire Alura to find and screen candidates for these sophisticated women, who aren't on the apps, to date. If you're tired of being one of a few hundred likes competing for attention, join Alura. We'll make you visible to the world's most elite matchmakers and the attractive, successful women who hire them. Curation isn't a limitation. It's the product. And right now, we need more good men in the mix.
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Peter Ashley shared thisAlura is live in the App Store. The path here was longer than I expected. Over the past several months we were rejected more than five times. Some of the early ones were the usual things, a missing delete account button, marketing assets that needed reworking. Standard. Then at one point Apple told us they had paused approvals for new dating apps entirely. That was a different kind of conversation. There was no checklist to work through. We were not failing review, we were in a category that was closed. That was the moment everything changed. Up until then we had been thinking of Alura as a dating app that did things differently. After that conversation we had to actually answer the question of whether a dating app was even the right way to describe what we were building. The honest answer was no. Alura is a platform that gives elite matchmakers access to a vetted network of professional singles, and gives those singles access to the clients of matchmakers who would otherwise be out of reach. We designed Alura to help singles learn about themselves and their communication styles, with coaching grounded in real relationship science. These features make intentional singles better daters and the matchmakers who’ve seen what Alura provides recognize that we’re doing a great service for their clients. I keep thinking about how often the most iconic moments in film exist because of a constraint. The shark in Jaws was barely shown because the prop kept breaking. The lightsaber hum was an accident, a microphone left too close to a film projector. Spielberg and Lucas didn't choose those decisions, the limits did. And in both cases the work got better for it. What people remember about Jaws is not the shark, it is the dread of not knowing what is below the water, which is scarier than any shark could have been. What people remember about the lightsaber is a sound so specific that every kid since 1977 has hummed it while pretending to be a Jedi. The Apple pause was Alura’s shark and lightsaber. We didn't choose to rewrite our category. We had to. And the version of Alura that exists today is sharper, clearer, and more honest about what we actually are than the version we submitted the first time. The constraint did the editing we had been avoiding doing on our own. Today it's live, and I'm proud of what we released. The lesson is not that we kept going. Plenty of founders keep going. The lesson is that the rejection that felt like a wall was the thing that pushed us into the right room. Matchmakers, if you’d like to get added to our waitlist and access the Alura Matchmaker Portal at no charge for 2026, leave us a comment below.
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Peter Ashley posted thisMegan McKinley and I spent time this morning with Nathan Feather, Internet Analyst at Morgan Stanley, who covers the dating category. He called our approach to the category fascinating, and he was generous with his time and his data. A few things reframed how we think about our market. Start with scale. We had been sizing this conservatively. Nathan put the global dating app market at roughly $20 to $30 billion in aggregate enterprise value, substantially larger than our own estimate. The more interesting part looks like a contradiction. The aggregate data says online dating is shrinking, somewhere between 1 and 5 percent globally this year, and taken on its own that makes the category look tired. The ground-level signals say something else. Gen Z adoption of professional matchmakers is up roughly 400 percent. The Global Love Institute conference has doubled attendance two years running. And paying for dating tools is already normal: roughly 20 to 30 percent of men on Tinder now pay, with younger cohorts at 15 to 20 percent. A quarter of users are already paying for an experience most of them describe as exhausting. Those facts are not in conflict, and together they point to the same thesis. People have not given up on finding a partner. They have given up on swiping. Demand is moving up-market, toward human judgment and real accountability. Matchmaking converts at rates dating apps cannot approach, and clients pay anywhere from $10,000 to $250,000 for it. The catch is that matchmaking does not scale. Matchmakers spend around 70 percent of their time and 25 to 30 percent of their revenue building candidate databases by hand. Every one of them rebuilds the same wheel, privately, from scratch. The work that makes them valuable, understanding people, is the work they have the least time for. That bottleneck is what we are removing at Alura. One continuously fresh candidate database, searchable in plain language, so matchmakers spend their hours on judgment instead of sourcing. We hold a provisional patent on relationship status detection, which keeps unavailable people out of results. That sounds small. Ask any matchmaker how much of their week it costs them. Where we are: 14 demos with professional matchmakers, and all 14 committed to join; over 500 singles on our early access list, and Alura is now live in the App Store. The premium layer of this category is growing while the aggregate shrinks. That gap is the opportunity, and it is where we are building. If you think seriously about this space, I would enjoy comparing notes. Thank you Nathan for the time and the perspective.
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Peter Ashley posted thisMy most important decision in building Alura was made before Alura existed. My co-founder, Megan McKinley, and I met on The League. We had both put our attachment style and Enneagram types in our profiles, which is why we found each other. The League didn't provide a path to reveal one's personality but we both specified those in our profiles because we wanted the same thing: to be matched on who we actually were, not how we photographed or what activities we liked. We did a few FaceTime calls before scheduling a first date. We both wanted to meet, which was not a simple task given she was spending three months in Costa Rica while I was in Palo Alto. We got to know each other well after our week together and I shared an idea for re-making the broken dating industry with an AI matchmaker that I'd been defining since ChatGPT launched. We agreed that we were sitting on something important and, instead of dating, we decided to build Alura together. I'd been divorced for more than a decade and witnessed how dating sites and apps motivate detrimental behaviors like catfishing and ghosting. I'd been introduced to a Silicon Valley matchmaker's client ten years earlier, after which she sold the profile to other matchmakers who called to ask about interviewing me on behalf of their client. I accepted all of those invitations and many of those dates, which put me into dozens of databases and exposed me to the chaotic and efficient "Candidate Marketplace" which represented $1 billion within the $4 billion industry. That became the founding hypothesis of Alura. Dating apps match on superficial interests instead of deep character traits. The only reason Megan and I found each other was because we hacked a system, which led to conversations the app had no role in shaping. Megan spent her career in research and design at MetaMask, learning what people want the way good designers do, by watching them instead of asking them. In addition to being the first head of BD at PayPal and helping launch 500 Startups, I spent a decade inside the matchmaking supply chain, sitting in fifty-plus matchmaker databases as a candidate and interviewing hundreds of singles and matchmakers about how connection forms. The same pattern kept surfacing: the matches that lasted rarely looked like the matches you'd predict from a grid of shared interests. Similarity opened the door, but complementarity and the right kind of difference kept them there. That became the foundation for the values mapping engine that powers Alura, sixty-plus traits mapping where two people line up and where they diverge. Investors usually want to know whether cofounders share a vision. Megan and I share a journey in seeking the solution to the degradation and deficiencies in the $11 billion dating services industry and our aligned goal in helping intentional singles find someone who has real potential in building a lifelong bond. I feel lucky I got that one right.
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Peter Ashley posted thisLast week I wrote about Bumble killing the swipe and argued that bolting AI onto an engagement-optimized platform won't fix what's broken underneath. This week the Axios piece on the new wave of AI matchmaking startups raises the opposite question. If the incumbents are stuck, are the new entrants building anything better? The piece profiled three companies, Amata, Joey AI, and Known, all replacing swiping with AI-powered voice intake and direct introductions. The reporter closed with a quote from a user that has stayed with me. Chemistry will always be analog. AI can help arrange a date, but the rest is up to humans. That line is correct, and it also reveals where most of this category is still heading in the wrong direction. If the most AI can do is arrange a date, we're building a slightly more efficient swipe app with a friendlier intake form. The whole industry, both the incumbents pivoting and the startups launching, has been focused on the front of the funnel. The swiping, the profile building, the messaging, the booking. None of that is the part of matchmaking that produces the seventy to eighty-five percent success rate professional matchmakers have spent decades earning. What matchmakers do that no app has replicated is the judgment behind who gets introduced to whom. The read on what someone says versus what they actually need. The willingness to push back when a client's preferences are working against them. That is not arranging. That is matching. Building AI that can arrange is the easy part. Building AI that can match the way the best matchmakers in the world match, and giving those matchmakers the infrastructure to scale beyond the handful of clients they can serve manually, is the harder problem and the one worth solving. Chemistry will always be analog. The matching shouldn't be.
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Peter Ashley posted thisThe New York Times piece last week on Bumble killing the swipe is being framed as a product change, but it's actually an admission. Whitney Wolfe Herd is conceding that the model her own company built, and that Tinder, Hinge, and every major app has been running for over a decade, doesn't work. Twelve years of swiping ended this week with the founder of the company that defined the format saying we are going to be saying goodbye to the swipe and hello to something I believe is revolutionary for the category. That's a real moment. It's also where I think the conversation around it is missing something. The framing has been that AI is what's going to fix dating. AI is a tool. It is going to fix the apps that use it well and accelerate the decline of the ones that don't. The reason swiping failed isn't that the interface was bad. It's that the entire stack underneath it was optimized for engagement, which is the opposite of what helps someone find a relationship. The longer you stayed single, the longer you paid. The product was working exactly as designed. AI built on that same foundation will be faster and more personalized, and it will still be optimizing for the wrong thing. What actually works is what has always worked: real matchmakers using their judgment to introduce the right people to each other. The interesting question is what technology can do for them, not to them. The swipe is dead. The question is what gets built on top of its grave. PS: this is the mechanism we built at Alura. Matchmakers who already have paying clients search our community of singles to find people worth introducing, and there's no cost to you, ever: https://www.alura.love/
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Peter Ashley posted thisSpent last week at the Global Love Conference in New York and left more convinced than ever that the matchmaking industry is closer to its inflection point than most people outside it realize. My co-founder, Megan McKinley, and I had the chance to demo the Alura Matchmaker Portal to some of the most prominent matchmakers in the industry, and every one of them asked to participate in our launch next month. The reception confirmed what we have believed from the beginning, which is that the best matchmakers are not threatened by AI, they are frustrated that no one has built the right kind for them. The content across both days was exceptional. Leslie John's exploration of disclosure reframed how I think about trust in the matching process. Rachel Greenwald's conversation with Amir Levine MD on attachment and chemistry was one of those topics you keep returning to days later. Maria Avgitidis Pyrgiotakis' deep dive into AI-enabled workflows landed as a direct challenge to every matchmaker in the room to think bigger about what their practice could become. Thank you to Lisa Clampitt for building something that genuinely moves this industry forward, and to Morgan Przekurat for keeping the energy high as emcee. And what a closing note from Bonnie Winston and Patti Stanger with the rooftop Collaboration Celebration. Grateful to be building Alura alongside the best matchmakers in the world, who take the future of love as seriously as we do. #matchmaking #GlobalLoveConference #Alura #GLI2026
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Peter Ashley shared thisI've worked with matchmakers as a candidate and I've talked to a lot more in the past year as I build Alura. Here's what I've come to believe.Dating doesn't need another AI app. It needs human intuition at scale.Dating doesn't need another AI app. It needs human intuition at scale.
Peter Ashley commented on a post
1mo
Thanks for sharing that story Olga, sounds like the Apple is pretty close to the tree! 🥰
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2mo
Hevin Golakiya Agreed. That's exactly the mechanism we're building around.
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Peter Ashley reacted on thisHonored to be profiled in Harvard Magazine! Thank you to Andrew S., Kira B. and all of my athletes for being part of the journey. And to Leigh Weiss and LizO for being such an inspiration then, and now.Peter Ashley reacted on thisWhen Juliet Hochman ‘89 graduated from Harvard, most of her classmates were heading into banking and consulting. “I probably should have been a coach my entire career,” she says, but at the time, choosing something different felt hard. She rowed in the 1988 Olympics, earned an MBA at Stanford, and worked in nonprofits and project management. Years later, she reinvented herself as a triathlete and went on to win two world championships. Since 2018, she has coached athletes around the world. Her approach works well beyond sports: • Picture “a big hairy goal,” then break it into doable steps. • Take on a few challenges that “scare you a little.” • Learn to be your own best coxswain when self-doubt sets in. • “Execute what you have to do each day—and show up for the next.” Follow Harvard Magazine for more inspiring stories about #Harvard alumni. And read the full article here: https://lnkd.in/gduUTEy5 #Leadership #CareerChange #Coaching #Resilience
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Peter Ashley liked thisPeter Ashley liked thisThirteen years ago, Mar and I sat at Coupa Café and talked about the kind of venture firm we wanted to build. We wanted to back extraordinary founders before the world knew their names. Today, we’re announcing Pear Fund V: $333M, more than $1.1B under management, and three new General Partners. A lot has changed since those early days. The mission has not. Find extraordinary founders early. Believe before it is obvious. Help them turn an idea into something real. We wrote a little about the journey here! Still day zero. 🍐
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Peter Ashley liked thisPeter Ashley liked thisPepsi got crushed by Coke. Then they got smart. In 2021, Coke sold 4 times more than Pepsi. But Pepsi didn't let that stop them. They got bold and creative instead. Winning isn't just about numbers. It's about what you do when things go wrong. Take your challenge. Get creative. Make it your moment. #Believe
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Peter Ashley liked thisPeter Ashley liked thisThey just blew my mind. Tim Herby, Thomas Aaron and I started Mighty Networks to take the most advanced technology to bring people together in new and fascinating ways. The next chapter is going to be a massive step up in what's possible — and a new way to use AI that isn't depressing.
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Peter Ashley liked thisPeter Ashley liked thisToday is our 3rd wedding anniversary. And somehow, we’ve been together for 9 years. I got married about 25 years later than most of my peers. For a long time, I wasn’t even sure marriage was something I really wanted. And when I fell in love with a man who had already been married, I think part of me told myself that maybe the wedding part didn’t really matter. Except eventually I had to admit that it did. I wanted to marry him. I wanted the wedding and the party. I wanted to stand up in front of the people we loved and choose each other, officially. It took me a minute (or two or three or four) to own that. One of the things I’ve learned, personally and now professionally, is how easy it is to talk ourselves out of what we really want. Because it hasn’t happened yet. Because we think we “should” be past it. Because our path looks different from everyone else’s. Or because admitting how much we want something makes us feel a little too vulnerable ( 👈 yeah, especially this one). Three years into marriage, I’m happy I finnally stopped worrying about when it was “supposed” to happen and let myself want what I wanted. And I had no idea at the time that within two months of our wedding, I’d quit the career I’d spent more than 20 years building and decide to become a matchmaker. Apparently getting married wasn’t the only thing I was finally ready for! 🤣 Happy anniversary, Ori. Nine years in, I’d choose you all over again, and again and again. And yes, knowing everything that came next, I’d still want the wedding.
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Peter Ashley liked thisPeter Ashley liked thisI do not care about fast cars. But standing next to this thing, I have to admit something: I’ve learned to deeply respect speed. In the startup world, you hear a lot of advice about caution. VCs tell founders to move carefully. But in practice, that can mean moving tentatively, operating from a place of fear. Companies that break through the noise, get funded, and actually succeed are the ones willing to put their foot on the gas and build with real urgency. You are rewarded for speed and growth above all else. That doesn't mean driving off a cliff. The best drivers on a track aren't reckless—they have incredible focus, sharp control, and respect for the machine. Building a healthcare company that scales to meet the profound needs of patients requires that exact balance: high speed, zero recklessness. So no, a Maserati is not the kind of car I’d ever buy. But when it comes to changing how care is delivered to millions of women, high velocity is the only speed that works. Even if this isn't the car you'd drive (I never would) it might be the kind of company you want to build.
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Peter Ashley liked thisPeter Ashley liked thisAlura is a two-sided marketplace where both sides make the other more valuable. Singles get AI-powered matching grounded in relationship science and the option to be discovered by elite matchmakers. Matchmakers get access to a vetted candidate network profiled across 60+ science-backed traits, eliminating the manual sourcing that consumes most of their time. Every interaction on the platform generates structured data that improves the matching intelligence for both sides. As more singles join, the network becomes more valuable to matchmakers. As more matchmakers participate, the quality of feedback and outcomes improves for singles. The result is a compounding network effect built on something most marketplaces don't have: expert human judgment at the center of every transaction.
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Peter Ashley liked thisPeter Ashley liked thisDating apps make you pay for hope. We pay for your date. Elite matchmakers pay Alura to introduce their clients to our members. We put $100 of that toward every first date. Membership is always free. Apply to join: https://lnkd.in/gE4CEdph
Experience & Education
Projects
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AI & SaaS Growth Leadership
Chief Operating Officer, BEAN AI (2024 – 2025)
Led cost-efficient go-to-market strategy, securing keystone deal that increased revenue 20X and attracted investor interest. Implemented financial controls and operational efficiencies to support sustainable scaling.
Head of Business Development & Fundraising Advisor, Lucinetic AI (2023 – 2024)
Defined adaptive product positioning to align with shifting enterprise AI demands.
Supported capital-efficient growth strategies for an AI…Chief Operating Officer, BEAN AI (2024 – 2025)
Led cost-efficient go-to-market strategy, securing keystone deal that increased revenue 20X and attracted investor interest. Implemented financial controls and operational efficiencies to support sustainable scaling.
Head of Business Development & Fundraising Advisor, Lucinetic AI (2023 – 2024)
Defined adaptive product positioning to align with shifting enterprise AI demands.
Supported capital-efficient growth strategies for an AI SaaS startup in an evolving market -
Venture Capital & Emerging Technologies
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Partner, Investor Relations, MDSV Capital (2022 – 2024)
Managed fundraising for $60M+ across two funds, focusing on strategic investments in AI and automation during economic downturns. Advised portfolio companies on capital efficiency and pivot strategies.
Head of Fundraising & Investor Relations, 500 Startups (2010 – 2012)
Led fundraising for Fund I ($30M) and Fund II ($50M), securing $18M from 88 LPs.
Provided strategic guidance and financing support for high-growth…Partner, Investor Relations, MDSV Capital (2022 – 2024)
Managed fundraising for $60M+ across two funds, focusing on strategic investments in AI and automation during economic downturns. Advised portfolio companies on capital efficiency and pivot strategies.
Head of Fundraising & Investor Relations, 500 Startups (2010 – 2012)
Led fundraising for Fund I ($30M) and Fund II ($50M), securing $18M from 88 LPs.
Provided strategic guidance and financing support for high-growth early-stage startups. -
Head of Business Development & Strategic Growth
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Led business development, fundraising & strategic growth at Financial Architects Partners, Cava Mobile, Opinmind, MyWaves, Millennial Reach and Talenthouse
Built lean sales and marketing team across two global markets, securing six major deals. Developed cost-effective market entry strategies, ensuring sustainable growth without excessive burn and drove immediate profitability.
Drove high-value partnerships and revenue growth across fintech, AI, and digital media, securing $B+ in…Led business development, fundraising & strategic growth at Financial Architects Partners, Cava Mobile, Opinmind, MyWaves, Millennial Reach and Talenthouse
Built lean sales and marketing team across two global markets, securing six major deals. Developed cost-effective market entry strategies, ensuring sustainable growth without excessive burn and drove immediate profitability.
Drove high-value partnerships and revenue growth across fintech, AI, and digital media, securing $B+ in structured financial deals and scaling emerging technologies.
Closed $6.4M in venture funding for an AI-driven advertising startup and led strategic fundraising efforts for HNW-focused financial solutions.
Negotiated and secured enterprise partnerships with Nike, ESPN, Yahoo!, Microsoft, and AOL, developing scalable sales and sponsorship models in SaaS, fintech, and media.
Applied machine learning and data-driven strategies to optimize client acquisition, increasing engagement and revenue opportunities across multiple industries.
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