Podcasts about shopfind

In this episode of Investing Unscripted, Jason and Jeff revive a fan-favorite format: letting AI randomly select stocks from their personal portfolios for a rapid-fire review. For each chosen stock, the hosts must explain what the company does, build the best "bear case" against it, and declare whether they would buy it at today's prices. Jeff tackles the tech heavyweights, defending Nvidia against the threat of purpose-built AI chips, exploring how "vibe coding" could eat away at Shopify's margins, and evaluating CrowdStrike's post-outage reality. Meanwhile, Jason embraces his love for "boring" businesses, breaking down the massive cash flows of pipeline operator Enterprise Products Partners, the underwriting discipline of internet-bank Axos Financial, and the cost-of-capital risks for Clearway Energy.03:13 Spotify Ratings Challenge04:24 Pick 1 CrowdStrike Bear Case08:00 Quantum and AI Disruption Talk14:21 Pick 2 Enterprise Products Explained20:13 Would You Buy It Valuation Talk25:09 Pick 3 Nvidia Bear Case Setup27:47 Nvidia Valuation Debate30:41 Nvidia Bear Case Shifts34:40 Axos Financial Overview36:19 Axos Bank Risks40:48 Shopify Bear Thesis43:01 Shopify Platform Risks51:33 Clearway Energy YieldcoCompanies mentioned: AX, CRWD, CWEN, EPD, NVDA, SHOPFind where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com*****************************************To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscriptedListen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube*****************************************Join our PatreonSubscribe to our portfolio on Savvy Trader

Early bird discounts for the San Francisco World's Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!From near-universal AI tool adoption inside Shopify to internal systems for ML experimentation, auto-research, customer simulation, and ultra-low-latency search, Mikhail Parakhin joins us for a deep dive into what it actually looks like when a 20-year-old, $200B software company goes all-in on AI. We cover why Shopify has become much more vocal about its internal stack, what changed after the December model-quality inflection, and why the real bottleneck in AI coding is no longer generation, but review, CI/CD, and deployment stability.We also go inside Tangle, Tangent, SimGym, which are three major AI initiatives that Shopify is doing to make experimentation reproducible, optimization automatic, customer behavior simulatable, and search and catalog intelligence faster and cheaper at scale. Along the way, Mikhail explains UCP, Liquid AI, and why token budgets are directionally right but often measured badly, why AI-written code can still increase bugs in production, what makes Shopify's customer simulation defensible, and what he learned from the Sydney era at Bing.We discuss:* Mikhail's path from running a major Microsoft business unit spanning Windows, Edge, Bing, and ads to becoming CTO of Shopify* Why Shopify is talking more publicly about AI now, and why staying at the frontier has become necessary for the company* Shopify's internal AI adoption curve, the December inflection, and why CLI-style tools are rising faster than traditional IDE-based tools* Why Jensen Huang is directionally right on token budgets, but raw token count is still the wrong way to evaluate engineering output* Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation* Why AI coding can still lead to more bugs in production even if models write cleaner code on average than humans* Why Shopify built its own PR review flow, and why Mikhail thinks most off-the-shelf review tools miss the point* How PR volume, test failures, and deployment rollback are becoming the real bottlenecks in the agent era* Why Git, pull requests, and CI/CD may need a new metaphor once code is written at machine speed* What Tangle is, and how Shopify uses it to make ML and data workflows reproducible, collaborative, and production-ready from the start* Why Tangle is different from Airflow, and why content-addressed caching creates network effects across teams* What Tangent is, and how Shopify is using auto-research loops to optimize search, themes, prompt compression, storage, and more* Why Tangent is becoming a democratizing tool for PMs and domain experts, not just ML engineers* Why AutoML finally feels real in the LLM era, and where auto-research still falls short today* Why Tangle, Tangent, and SimGym become much more powerful when combined into one system* What SimGym is, why simulated customers only work if you have real historical behavior, and why Shopify's data gives it a moat* How SimGym evolved from comparing A/B variants to telling merchants what to change on a single live storefront to raise conversions* Why customer simulation is so expensive, from multimodal models to browser farms to serving and distillation costs* How Shopify models merchant and buyer trajectories, runs counterfactuals, and thinks about interventions like discounts, campaigns, and notifications* Why category-level behavior is so different across commerce, and why ideas like Chinese Restaurant Processes are showing up again in practice* Shopify's new UCP and catalog work, including runtime product search, bulk lookups, and identity linking* Why Shopify is using Liquid AI, and why Mikhail sees it as the first genuinely competitive non-transformer architecture he has used in practice* Where Liquid already works inside Shopify today, from low-latency query understanding to large-scale catalog and Sidekick Pulse workloads* Whether Liquid could become frontier-scale with enough compute, and why Shopify remains pragmatic and merit-based about model choice* Who Shopify is hiring right now across ML, data science, and distributed databases* The Sydney story at Bing, why its personality was not an accident, and what Mikhail learned from deliberately shaping AI character early onMikhail Parakhin* LinkedIn: https://www.linkedin.com/in/mikhail-parakhin/* X: https://x.com/MParakhinTimestamps00:00:00 Introduction: Mikhail Parakhin, Microsoft, and Shopify00:01:16 Why Shopify Is Talking More About AI00:02:29 Internal AI Adoption at Shopify and the December Inflection00:06:54 Token Budgets, Jensen Huang, and Why Usage Metrics Can Mislead00:10:55 Why Shopify Built Its Own AI PR Review System00:12:38 AI Coding, More Bugs, and the Real Deployment Bottleneck00:14:11 Why Git, PRs, and CI/CD May Need to Change for Agents00:18:24 Tangle: Shopify's Reproducible ML and Data Workflow Engine00:21:19 Why Tangle Is Different from Airflow00:26:14 Tangent: Auto Research for Optimization and Experimentation00:30:07 How Tangent Democratizes Experimentation Beyond ML Engineers00:33:06 The Limits of Auto Research00:36:36 Why Tangle, Tangent, and SimGym Compound Together00:37:20 SimGym: Simulating Customers with Shopify's Historical Data00:42:47 The Infra Behind SimGym00:46:00 Why SimGym Gets Better with Real Customer History00:47:30 Counterfactuals, HSTU, and Modeling Merchant Trajectories00:51:55 CRPs, Clustering, and Category-Level Customer Behavior00:53:30 UCP, Shopify Catalog, and Identity Linking00:55:07 Liquid AI: Why Shopify Uses Non-Transformer Models00:59:13 Real Shopify Use Cases for Liquid01:03:00 Can Liquid Scale into a Frontier Model?01:09:49 Hiring at Shopify: ML, Data Science, and Databases01:10:43 Sydney at Bing: Personality Shaping and AI Character01:13:32 Closing ThoughtsTranscript[00:00:00] swyx: Okay. We're here in the studio, a remote studio, with Mikhail Parakhin, CTO of Shopify. Welcome.[00:00:08] Mikhail Parakhin: Thank you. Welcome.[00:00:10] swyx: I don't even know if I should introduce you as CTO of Shopify. I feel like you have many identities. Uh, you led sort of the, the Bing ML team, I guess, uh, uh, or ads team. I, I don't know, I don't know, uh, you know, it's, uh, people va-variously refer you as like CEO or, or, uh, I don't know what that, that, that said previous role at Microsoft was.[00:00:29] Mikhail Parakhin: Uh, that was... Yeah, my previous role w- at Microsoft was the-- I actually was the CEO of one of Microsoft's business units, which included, as I, you know, as we discussed, all the things that people like to laugh about, uh, including Windows and Edge and Bing and ads and everything.[00:00:47] swyx: Yeah, yeah. What a, what a, what a wild time.You've obviously, uh, done a lot since you landed at Shopify. Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi's QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.I think more-- it's just more recent that you guys have been more vocal about your sort of AI adoption. Is that, is that true?[00:01:16] Mikhail Parakhin: Well, I think AI tools in general are fairly recent development, uh, and we've-- Shopify, you know, at this stage of its development, we're developing AI in-in-house and other, uh, building tools that use AI and, you know, interfacing with the wider AI community, uh, you know, are on the sort of the, uh, runaway trajectory.So it just did by sort of natural byproduct. We, we talk about it more also. We just, uh, just even yesterday, Andrej Karpathy was famous in tweeting about, oh, are there some, uh, ways, uh, that, that you can organize your agents to store the data and then, uh, look up the data so that you don't have to research or, or lose context every- Yestime. And a little bit tongue in cheek, I tweeted that, “Hey, we've, we've done it much earlier, and we even have different approaches, Tobi and I.” Tobi, of course, is a big fan of QMD, and I'm more of a SQL, SQLite fan. But, uh, yeah, very similar things that we've already done here. The point is, yeah, we're very dynamic, you know, explosively growing company, and we have to be at the forefront of AI adoption, obviously.[00:02:29] swyx: Yeah. Yeah. Um, you, your team kindly prepared some slides actually that we were gonna bring up on to, uh, the screen. I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on. So here we have, uh- An internal AI tool adoption chart.What are we looking at here? What ?[00:02:54] Mikhail Parakhin: Yeah, this is very interesting statistics. Uh, this is number of daily active workers, you know, think of, uh, DAO, basically the active users of-[00:03:05] swyx: Yeah ...[00:03:05] Mikhail Parakhin: AI tool as a percentage of all the people in the company, right? And then- Yeah ... different AI tools. And, uh, you could see two things here is that one is the green is total.Uh, green is just total. So you could see that it approaches really % by now. It's hard not to do your job now without interacting deeply, at least with one tool. You could see another interesting thing is just as many people commented in December was the phase transition when suddenly models gotten good enough that, that everything took off and started growing.Uh, it, it was many people noticed that the thing is that small improvements accumulated into this big change in Sep- December roughly timeframe.[00:03:52] swyx: Yeah.[00:03:52] Mikhail Parakhin: The other thing I would claim you could see is that, uh, CLI-based tools and tools that don't require you to look at the code becoming more popular, and you could see, yeah, various versions of, uh, Cloud Code and Codex and Pi and internal development tools taking off.Uh, exactly, yeah, uh, and blue is our River, just internal agent for coding, where tools, uh, that require IDEs such as, uh, GitHub, Copilot or Cursor, they're not exactly shrinking, but they're not growing as fast. Like, uh, red, red line is, is the IDE kind of tools. So you could see that they're, they're not experiencing as, as fast of a growth.[00:04:37] swyx: As I understand it, basically, every employee has their choice, right? Of choose whatever tool you use, and then you're just kind of doing a, a daily sur-survey or something.[00:04:47] Mikhail Parakhin: Exactly. And, uh, we- Yeah ... the, the push is to get your job done, you can use any tool, and we effectively fund unlimited tokens for everybody.Uh, we, we do, we do try to control the models that, uh, people use, but from the bottom, not from top. Like we basically say, “Hey, please don't use anything less than Opus four point six.”[00:05:09] swyx: Oh .[00:05:10] Mikhail Parakhin: Some people, some people end up using GPT five point four extra high. Some people use Opus four point six. Um, uh, you know, uh, there are some, uh, there are plus and minuses in going for full one million context window versus not.But, uh, we try to discourage people from using anything less than that.[00:05:28] swyx: Yeah, yeah. Got it, got it. Uh, I mean, uh, that's, you know... The, the next chart here, it really kind of shows the expansion and the sort of December twenty twenty-five inflection, right? That, uh, people are using a lot of tokens. I think it's also really interesting that no one was kind of abusing it in twenty twenty-five.Like it was- Had comparatively, uh, to this year, there was almost no growth. I mean, it's still like, you know, probably, probably gave fifty percent.[00:05:56] Mikhail Parakhin: Yeah. This is just a different scale. It's still exponential- Yeah, yeah ...growth at just a different- ...rate of expansion. Uh, there was inflection point, and Sean, I would claim the, the super interesting part here is that you could see that the distribution becoming more and more skewed.Yes. The top percentiles grow faster. So that means- Yeah ...the people in the top ten percentile, they, their consumption grows faster than seventy-five and so forth. So, uh, the distribution skews more and more towards the highest users, which is... I don't know what it tells me. It's like it feels not ideal, to be honest.Or maybe it's okay. We'll see.[00:06:36] swyx: Why does it feel not ideal? Is, is it because of, um, quantity over quality, or what's the concern?[00:06:42] Mikhail Parakhin: Because take it to the limit. That means, you know, if, if this rate of separation continued- Ah, yes ...a year, there will be one person consuming all the tokens. So it's just, it's kinda strange.[00:06:54] swyx: Yeah, I mean, um, uh, I, I think internal like teaching and all that, uh, will, will help sort of distribute things more widely. But in, in the early days, of course, the people who are sort of more AI-pilled will obviously find more ways to use it than the people who are less AI-pilled. Maybe let's, let's call it that.I'll just, I'll just kinda quickly, uh, pause from the, the... You know, we will go back to the rest of the slides, but I just wanna, um, review, you know, there are a lot of CTOs of, of large companies like yourself where they're all considering some kind of token budget, right? Like I think it's something, something that Jensen Huang has been talking about, where like if your 200K engineer is not using 100K of tokens every year, like they're, they're underutilizing coding agents.Of course, Jensen Huang would say that, but like it seems a very quantity over quality approach and like some, some people are basically saying like, well, is this comparable to judging engineer quality by lines of code, right? Which we also know is like kind of flawed, but better than nothing. So I, I don't know if you have like a sort of management take here on, on how to view this kind of, uh, metrics.[00:08:02] Mikhail Parakhin: Well, I mean, you're, you're baiting me. I, I like... This is my favorite topic. Uh, if you let me, I'll probably talk for two hours on just this. I have a lot of things to say. Like I do think Jensen gotten a lot of bad press saying, “Oh, of course you're, you know, this, uh, the- ...the cake seller says you don't need enough cakes.”You know? Like, of course. Uh, but, uh, I actually, uh, think that's undeserved. I think he, he's actually right. Uh, I do think- He,[00:08:33] swyx: he's directionally correct.[00:08:35] Mikhail Parakhin: Yeah. Yeah. He's directionally correct for sure. Uh-[00:08:37] swyx: Who knows what the right number is? Yeah.[00:08:39] Mikhail Parakhin: The thing that I do Uh, want to say, and this is something that we learned through trial and error and very important is like two things.One is that it's not about just consuming tokens. Uh, you can consume tokens and, and in fact, the anti-pattern is running multiple agents, too many agents in parallel that don't communicate with each other. That's almost useless, uh, compared to just fewer agents and burns tokens very efficiently. Uh, setting up the right critique loop, especially with the high quality models, where one agent does something, the other one, ideally with a different model, critiques it, uh, suggests ways to improve it, the agent redoes it with this critique and, and so it takes much longer.So people don't like it because latency goes up. You know, they, they have to wait until this debate is happening. But, uh, the quality of the code is much higher. And another thing, just since you mentioned like, look, uh, uh, yeah, the overall budget is just like, uh, lines of codes. Lines of codes are exploding for everybody right now, or partially because AI is really mover balls, but partially just because AI can write a lot more code, you know, doesn't get tired.And so you have to have to have a very strong narrow waist during PR review. Otherwise, just the number of bugs will go through the roof. It's, uh, it's this unexpected consequence of the just volume trumping everything. I would claim by now good model writes code on average with fewer bugs than, than the average human.But since they write so much more of it, like more of it will make it into production. So you have to- You still[00:10:26] swyx: have[00:10:26] Mikhail Parakhin: more bugs. Yeah. Have to have a very rigorous PR reviews, also automated of course. But, uh, yeah, that to spend a lot budget there. Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, five point four Pro or, uh, uh, Deep Think from Gemini, you know, checking on PR reviews.[00:10:55] swyx: Yeah, totally. Uh, I noticed in your chart you didn't have any review tools. Do you just use like, like let's say a Claude code to review tools? Or do you have another set of review tools like the Greptiles, the Code Rabbits, uh, Devin Reviews has a review tool. I don't know if you've had those specialist review tools.[00:11:13] Mikhail Parakhin: You are a little bit jumping on my store tool right now because the graphs I was only showing public tools. Uh, uh, the-- I haven't found a good PR review tool that, that does what I think should be done. And, uh, partially my, my thinking is because it's so... It just goes against both what people feel like emotionally they prefer and, uh, some of the, uh, you know, frankly Even business models that, that the companies run.At peer review tool, uh, time, you want to run the largest models. That means, I don't know, Codex or, or, uh, Cloud Code is not gonna cut it. You need to have pro-level models if you really want to, uh, stand the tide of bots from going into production. And you need us to spend a lot of time, the models taking turns, but you don't want, like, a big swarm of, uh, of, uh, agents.So in fact, you end up in a different dual-dualistic world where you generate not that many tokens. You, in fact, generate few tokens, but it takes f-a long time because these are expensive models taking turns rather than many, many agents trying to do many things in parallel. So that's, that's why I feel like I haven't found good tools, so we are using our own for peer review for now.[00:12:33] swyx: Yeah. Yeah. I mean, uh, I think a lot of companies are building their own, uh, especially to their needs, right?[00:12:38] Mikhail Parakhin: Mm-hmm.[00:12:38] swyx: Um, I, uh, you also have a chart here going back to the slides on, uh, PR merge growth, where we're now at thirty percent, uh, month on month rather than ten percent. Uh, and also the, the estimated complexity is going up.You know, this is productivity, right? ‘Cause y- presumably there's more stuff going into the code base and more, more features getting worked on. I'm curious about the backlog, right? Like the, the, the-- I actually don't mind a pro-level model taking an hour or two hours to review my PR, because I've dealt with humans who take a week to review my PR, right?And I keep pinging them on Slack, “Hey, hey, review my PR.” So, you know, I think there's some trade-off here where, like, it still doesn't make sense.[00:13:18] Mikhail Parakhin: Exactly. That, that's exactly m-my point. Uh, that on one hand, you can tolerate longer latencies at, uh, PR. On the other hand, like right now, the real problem is not in spending time waiting for PR.It's real problem is since there's so much more code than- Yeah ... uh, probability of at least some tests failing going up, and then you, like, keep de-failing, then you have to find the offending PR, evict it, retest it without that PR, and so deployment cycle becomes much longer. Uh, so it actually, in terms of the overall time to deploy, it's total time savings if you spend more time on a longer model, like thinking for an hour, because then, then you, you don't have to spend all that time during testing and rolling, you know, rolling back the deployment.[00:14:03] swyx: Yeah, totally. That's still worth it. You know, you don't look at the individual, look at the aggregate, and look at the, the, the change in the aggregate system.[00:14:11] Mikhail Parakhin: Exactly.[00:14:11] swyx: I'm kind of curious if, like, there's this PR mentality and, like, c-- the, the, the CICD paradigm will be changed eventually. Some people are like, obviously a lot of people want new GitHub, but I even wonder if, like, Git is the problem, right?Like, is that the bottleneck? Is the concept of a PR a bottleneck? Do you guys use stack diffs? I don't know if, uh, that's a, like, a merge queue stack diff type of thing.[00:14:34] Mikhail Parakhin: We, we use, we use Stacks, we u- we use Graphite. We worked with, uh, Graphite a lot. Uh, so we use Stack, uh, PRs. I think, uh, like that's clearly the overall CICD in general, and the interaction with the code repository right now is the, clearly the sort of the, the main issue and the bottleneck for us, uh, and highest top of mind.I would say we probably need a different metaphor or different whole design of how to process it in new agentic world. I haven't seen anything dramatically better yet. I, I think everybody right now is just trying to keep their head above the water ‘cause, ‘cause there, there's so many PRs and then everybody's CICD pipelines start creaking, the, the times are increasing, the number of bugs slipping by increasing, and you have to, have to clap on down.And so we are a little bit in this situation when we need to first stabilize that story and then start thinking, hey, what, what it could be a completely different and new world, which I haven't... I know some people working on it. I haven't seen something, like anything super compelling yet, but clearly the old thing were designed for humans will need to be morphed into something new.[00:15:53] swyx: One of the thing that I, I think about is kind of like the merge conflict is basically a global mutex on the whole system, right? And in, in hu- in human organizations, we do have something like that. It's the company standup. But like, other than that, it's like it's actually fitting for us to be somewhat decentralized, somewhat plugged into one stream of information source, but somewhat lossy.Like it's okay, you know, that, that not every delivery is like atomic consistency. Like we're not dealing with a database sometimes.[00:16:27] Mikhail Parakhin: This is a very good point, uh, because since humans don't write code too fast, you know that global mutex is not too bad. Once you-[00:16:36] swyx: Yes ...[00:16:37] Mikhail Parakhin: start writing code at the speed of machine, it becomes the, you know, the bottleneck.Then what do you do? Maybe, and I can't believe I'm saying this because I, I'm long-- lifelong opponent of, uh, microservices, and I always thought that was, like, a really bad idea. And now that you're saying it, like, maybe in new guys like microservices will make a comeback, you know, because then you, you can ship things independently in tiny things and, and the managing all that complexity automatically will be much easier.I don't know. Like, we'll s-- we'll have to see.[00:17:10] swyx: Yeah. I mean, I don't know what the Microsoft or, or Shopify thing is, but I, I read this paper from Google where they have a monorepo that deploys into microservices, right? And then, uh, the other concept that I think about a lot is the Chaos Monkey concept from, from Netflix.Being able to create, like, this robust system where, um, uh, you know, you, you have the service discovery, you have the, uh, the independent, independent microservices discovery and, and, uh, you know, probably going to be a fair amount of duplication. That's how an organic system sort of scales, uh, that, that you have that...I don't know how you call it. Slack? Robustness? Depend-- uh, d-duplication. I, I, I forget the-- I, I'm-- And this-- those-- these are not exactly the terms- Hmm ... I'm looking for, but I c-can't really think of the words. Okay. I was gonna go into Tangent and Tangle. Uh, so, uh, we, we sort of discussed the overall stats that, uh, Shopify has.Uh, but, you know, I, I think some, some pretty cool stuff that you guys are working on is your ML experimentation, uh, and your, your sort of auto tr-research training pipeline. Presumably you're much closer to this one because it's, it's a sort of personal hobby of yours. How, how would you explain them in, together?I thought we have a slide that, like, uh, has the s- the system diagram.[00:18:24] Mikhail Parakhin: Yeah. Tangle first and then Tangent as a-[00:18:27] swyx: Yeah ...[00:18:28] Mikhail Parakhin: as a thing on top of Tangle. And, uh, Tangle is the third generation, I claim, of, uh, systems of, uh, running any data processing, but a bit with a skew for ML experiments, but not necessarily. Any sort of data processing tasks where you need to iterate, share, and you have scale so that you want maximum efficiency.You know how, like, normally you would work, you would-- Imagine you're a data scientist or an ML practitioner, you would get Jupiter notebooks or, or maybe you would get, uh, you know, Pyth- your Python scripts, and you would manage the data, and you produce those TSV files, and you put them in some JFS or something.Then you would notice that, oh, it has this, uh, weird missing values. You go and write another script that, uh, goes and replaces them with, uh-[00:19:20] swyx: Ah ...[00:19:21] Mikhail Parakhin: dash S. And then, then you, then you run some, some, uh, “Oh, I need to filter bots.” And so you run some light GBM model that, uh, removes the bots. And then, then you like-- And then you, you kind of like get into shape, and then you start experimenting, and you run multiple experiments, and then you're like, “Oh my God,” like, “this experiment is worse.”You undo, and you cannot get to previous result. And like, “Ah, what did I do?” Like that. Again, then, then you finally like get everything working. Then you like start throwing it over the fence to production. You, you replicate it, those things don't work, and then sometimes you like don't notice that you forgot some feature naming and the, the features don't match.But then, like imagine you, you did everything, and then six months later you're like, have to repeat it because now there's more data, or you wanted to do another pass, and you're like, “What, what did I do?” Or like, or like, “This script crashes now,” or the, “the path has changed.” And then, then you're trying to, like you spend another month just doing ar- digital archeology on your own, you know, history, right?Now multiply that by many, many teams. Now imagine you got an intern that you wanna ramp up. Now you have to show that intern, “Oh, you know, look, here's the folder, there's the scripts, you know, ask your cloud agent to do, and then, uh, to, to figure it out.” And then cloud agent does something, and then you're, “Ah, yeah, right, right, it was the wrong folder.I forgot to tell you, I actually have this other thing I forgot myself.” And, and that's, that's the, like, the daily life we all, uh, all know it, uh, if, if you're a data scientist, machine practitioner, ma- machine learning practitioner or, uh, or even like any data managing, uh, person.[00:21:00] swyx: Yeah. So I, I used to do this, uh, f- uh, on the quant finance side, uh, in, in my hedge fund.So we did this before Airflow, and then, uh, obviously Airflow came along and, uh, then more recently Dagster, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a pipeline.[00:21:19] Mikhail Parakhin: And that's, that's very good segue because... So Airflow is great, but Airflow is more about you, you have something and you wanna repeatedly run it in production on schedule.It's less about you as a team developing things and being able to share, and you grabbing the standard pipeline and saying, “Hey, I wanna change this tiny little component in the huge sea of data processing, and I don't wanna-- I wanna run ten experiments on this, and I wanna do hyperparameter optimization.”All that is very hard to do with Airflow. It's very easy to do with Tango. Tango is m- more about, it's everything about group of people Running experiments, it might be agents too nowadays. Uh, running experiments cheaply, collaborating, sharing results. Uh, you don't need to understand fully. You, you grab-- you clone somebody else's experiment or somebody else's pipeline, uh, run, uh, change small piece, run it, be, like, get it to production state, and then ship in one click.So then the... You don't have to port it into any other system to, to run in production. You can just run the same experiment. It's, it's fully production ready. And, and it's, uh, it has lots of... Again, as I said, it's third generation system. The original one was, I would claim there was Ether and then, uh, at least in my career, Ether was the first, first, uh, that pioneered this type of approach.And then there was, uh, Nirvana, which, uh, uh, at Yandex, which did kind of sec-second take on this. And now this one aggregates the, the learnings from all of those and, and Airflow as well to, to get to the state where you try it, it, it feels kind of magical. Uh, ‘cause now everything is based on content, uh, hashes.So even if the version changed, but if the output didn't change, nothing is being rerun. It's very efficient. If you... Multiple people start experiment that needs the same sort of data preprocessing, it's not repeated multiple times. It's automatically done only once. If you start ten experiments that all require, you know, some, some data preparation first as the first step, and you don't have to coordinate for that.Like, you don't have to know that other people are starting it. You now, it's very easy compos-, uh, composability, any language you can u- uh, you wanna use, and it's very visual. So you can see immediately, you can edit it easily, you can assemble small things with just even mouse clicks if you want to, and, uh, share, clone.And everybody knows also it's fully kind of static in the sense that we rerun it second time, it will exactly have the same results. Like, you will never have to do digital archeology. So full versioning and everything is also there.[00:24:06] swyx: Uh, so, so people can, uh... It's open source. Go to the GitHub repo and, and, uh, check it out.Uh, and it is also a really good, uh, blog post about it. I think all these is, like, really appealing. The, the, the, the thing that I think sells me the most about it is that, um, sort of development to production transition, right? Which I think, um, a lot of people haven't really solved that, uh, strictly, right?Like, we develop really, really well in, in Python notebooks, but then, you know, that's obviously not a sort of production ready process. I think that, like, any way in which that is solved, I think is, is very appealing. Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.Uh, it surprised me that the savings could be this much, but maybe I just haven't worked at your scale where there's so much duplication, uh, that people just rerun because they change a single ID upstream.[00:25:10] Mikhail Parakhin: It does, yeah. But it's not only you rerun. The, the main savings are coming from the fact that you ran it, you got your job done, and you moved on.Then- Yeah ... somebody else in some department you don't know existed runs the same task, but on a newer version.[00:25:27] swyx: Yeah.[00:25:27] Mikhail Parakhin: Like right now, you can't, in, in most of the organizations, you can't even find out about it so that you can't even measure that you're spending that time twice, right? Here- Yeah ... if everybody's on Tango, that's detected automatically and detected that the output is the same.And then for that person, all it looks like is like experiment just suddenly moved, jumped forward, right? Uh, uh- Yeah ... so that's because, because the, there's network effect of multiple people helping each other.[00:25:51] swyx: Yeah. This is one of those things where it's designed to be a platform from the beginning rather than an individual developer's tool from the beginning, right?And, and everything's gonna streams down from there. That is the sort of Tango, uh, orchestrator, and it's, it manages jobs. We've seen a few versions of this, and this is obviously, uh, uh, the sort of, uh, unique approaches that you guys have, have, uh, figured out. And then there's Tangent.[00:26:14] Mikhail Parakhin: Yeah. And Tangent is basically an automatic auto research loop that can help and kind of do your work for you.Uh- ... you know, uh, effectively, effectively, Andrej Karpathy recently popularized it with auto research. Yes. Remember he said like he was, uh, speed running this, uh... Yeah, uh, you know the story. The, here we're basically bringing the same capability into Tango so that, uh, the, uh, Tangent can analyze it. It's just an agent that can run multiple experiments, figure out what can be changed, and keep on rerunning it, keep on modifying until, uh, maximizing some goal, some loss function, whatever you need to, to achieve.And in general, I would say if you're not using auto research-like approach in whatever you do, like literally whatever you do, then you're missing out. We saw at Shopify that taking like a wildfire, anything where you can put measurements can be done dramatically better. Our-[00:27:19] swyx: Mm-hmm ...[00:27:20] Mikhail Parakhin: uh, speed of, uh, templatization HTML, uh, completely new UX tem- uh, templatization of, uh, reducing latency for liquid themes.Uh, we-- Our, uh, search, uh, recently we moved from It's hard even, uh, quote from eight hundred QPS to forty-two hundred QPS with the same quality just by pure optimizations and not a research loop that kept running and changing code in our index serve on the same number of machines, just increasing the throughput.We, we managed to improve the quality of gisting and machine learning process. Uh, you know, gisting is the prompt compression technique that[00:27:59] swyx: allows for[00:28:00] Mikhail Parakhin: lower latency and, and lower and, uh, actually higher quality slightly. So like literally whatever different walks of life, and it doesn't have to be AI related.Uh, we, we had a reduction in, uh, storage because the agents would go and find data sets that clearly are derivative, uh, and then you don't need to store things twice. You know, we, we, we found somewhat embarrassingly that it was one of the largest tables was hashing random IDs into another random ID, and we literally- Oofput only one. So it was translating, yeah, two random IDs hashed[00:28:36] swyx: into[00:28:37] Mikhail Parakhin: each. So, so[00:28:37] swyx: it has access to the code as well, so it can, it can check the, like what, what the hell is it doing?[00:28:42] Mikhail Parakhin: So there, there cou- it could be run in two levels. You, uh, you know, at the superficial level, it could just use ex-existing components and, uh, reshuffle them.Uh, you know, like you can grab- Yeah ... uh, XGBoost, and you can grab some, some Py- PyTorch module, and then can grab some, you know, grab another tools and, and combine them. At a deeper level, since Tangle is all sort of CLI based underneath you, every, every component is a wrapped really CLI, uh, call and a YAML file, it can analyze code and create new components and, and, uh, keep on iterating as well.So, so you can, you can both have quick modifications of existing t- uh, pipelines with the, with components that are already there pre-baked, or you can create new components, uh, and-[00:29:29] swyx: Yeah ...[00:29:29] Mikhail Parakhin: keep iterating on those. So auto research is, again, this is probably the, the thing I was excited the most in the last two months happening, and we see it taking like, like totally like a wildfire.Just, uh, everybody, every day, every... well, every day, every minute, I would, uh, have somebody Slack message saying, “Oh, look how much better I made it.” And, uh, it's all throughout the research.[00:29:53] swyx: Is this democratized in some way in, in the sense that like is it your ML, uh, engineers and researchers doing this, or is it your regular PMs and software engineers also have the ability to auto-- to use Tangent?[00:30:07] Mikhail Parakhin: This is an awesome question. Like, Tango in general and Tangent in particular are extremely democratizing. Like they- Yeah ... they are the main tools for- ‘Cause I don't[00:30:15] swyx: need the details.[00:30:16] Mikhail Parakhin: Yeah. Exactly. Initially used by ML and AI engineers, but then literally, as you said, PMs are like the highest user right now is one of PMs on our org, uh, Sartak and he was, he was number one by, by usage of, of this ‘cause they're just, uh, energetic and knowledgeable, and now it, it unlocks a lot of capability where you don't have to co-change code manually.[00:30:39] swyx: I mean, I mean, because it kind of cuts out the ML, ML engineer from the process because the, the, the PMs have the domain knowledge and the ability to think about, uh, from first principles about, okay, what, what results do I want? And they can-- they even have the access to the data that, that needs to go in.So it's like in some ways, like this is the magic black box that we've always wanted for, for training and, and for, uh, I guess, uh, uh, hill climbing, whatever.[00:31:04] Mikhail Parakhin: It's basically cloud code for your AI development- ... uh, situation, right? Like now, now you don't have to know exactly how algorithms work. You can just, uh, bring your domain knowledge and expertise and product knowledge and iterate within Tangent until you've gotten the results that you need.[00:31:21] swyx: In my previous roles, every time that someone has pitched AutoML, you know, I've always been like, “Uh, this is not, this is not gonna work. It's, you know, it's, it's always gonna be a flop.” Somehow it's working now. I mean, presumably the answer is now we have LLMs and it's good enough, right? It's, it's an emergent property that we can do auto research, but like, it doesn't feel that satisfying that how come we didn't do this before, right?Like we just did like parameter search and like, I don't know. That's maybe that's it.[00:31:48] Mikhail Parakhin: Yeah. Bayesian optimization and hyperparameter optimization was, was the one that, or facet of AutoML that was used very actively, which incidentally also built into, uh, Tango. But, you know, I know Patrice Simard very well, and, uh, he was such a, uh, such a proponent of AutoML, and he put, like literally spent careers trying to democratize it.Without LLMs, it just turned out to be very hard. Like it, you, you would have flexibility within certain narrow domain, but it was hard to wider scale, and now with LLMs suddenly it's like magic wand, and so suddenly everybody- ... is an AutoML expert.[00:32:28] swyx: Yeah, I, I think it's multiple things, right? Like I'm, I'm just gonna bring up the, the, the chart again, right?Like LLMs can do the monitoring very well. That is the very potentially unbounded, super unstructured. It can do the analysis very well, it can do the... Uh, and basically it is much more intelligence poured into every single step. Uh, there's maybe nothing structurally changed about AutoML, but this is just m-more intelligent and more unstructured.[00:32:53] Mikhail Parakhin: Exactly.[00:32:54] swyx: Any flaws that you've run into? Like everyone is like drinking the Kool-Aid, oh my God, time savings, uh, you know, performance improvements. Like what, what, uh, issues have you have, uh, come up?[00:33:06] Mikhail Parakhin: This is really cool. It's not a solution to all the world's problems for sure. The limitations are usually the ones I-- And this is where we get into a bit of a subjective territory.Uh, I can only share what I've, I've seen so far, and I'm sure the situation, uh, is changing, and, you know, maybe after I say it, like many people will reach out and say, “Hey, what about this?” And you don't know that, and then, then we'll be probably right. But what I've seen is auto research is very good at doing kind of obvious things that you don't have bandwidth to do or you didn't notice or maybe you're not aware of like the-- some standard practices.It is not good at doing something completely out of distribution, something that, you know, you have to think for, for multiple days, uh, and, and do something like none of this. So, so it's, uh, I, uh, set an experiment once, uh, on, on my sort of, uh, hobby thing, and I let it run for, uh, ended up, uh, several weeks run, uh, you know, it's like full production kind of scale, so it, you know, slow runs and, and it ex-- it performed in the end, uh, over four hundred experiments, and only one was successful.I'm like, “Okay, that's, that's good.” But-[00:34:18] swyx: But it saved time.[00:34:19] Mikhail Parakhin: Yeah, I saved time. Like it, it was the, that thing. Yeah, if I, if I were doing four hundred experiments myself, my betting average, as I said, would have been much higher, I'm sure. But also, first of all, it would take me like three years to do four hundred experiments.And, uh, I didn't have to do them. Like the machines were just, uh, the price of electricity did that. So, and I got one improvement, uh, that in, uh, my, my-- Honestly, when I was starting that experiment, my thinking was to go and show that, “Hey, Andre, maybe you just don't know how to optimize.” And I was super smart because in, in my pro-problem, it was optimized for many years, and it was like fully improved.Uh, and I didn't expect it, you know, auto research to find anything at all. Yet it did. So instead of making fun of Andre, I ended up, uh, a big, big supporter. Yeah, that's exactly the tweet. Yes.[00:35:10] swyx: You and Toby really, really go back and forth on-online a lot, which is really funny. Uh, think of it as, as an eval for the optimalness of the code it's running on.Uh, it's almost like it reminds me of like a Kolmogorov complexity thing, but, uh, I guess it's-- there's some optimal thing that you're trying to sort of reduce down to, I guess. Um, and so, so you, you, you know, you should congratulate yourself that you had, uh, you know, uh, ninety-nine percent, uh, optimality.[00:35:36] Mikhail Parakhin: Exactly, yeah. I think Andre really deserves a lot of credit for popularizing this approach. This is, uh, this is incredibly, I think, powerful and cool and You know, the, uh, even him, him just mentioning it led to a lot of gains in a lot of places in the industry, so we should be thankful.[00:35:56] swyx: Yeah. I think he also has a just...I don't know what it is. Like, um, you know, it, it is a simple self-contained project that people can take and apply to other things, which is, is, is one thing, but also just the name. Just like somehow no one, no one managed to call their thing auto research. It's just naming things is very important. I think that that is mostly, uh, our coverage of Tango and, and, uh, Tangents.I think obviously, you know, there's a lot of, uh, ML infra at, at Shopify that people can, uh, dive into. We're about to go into SimGym, but before I do that, any, any other sort of broader comments around this whole effort? Like where is it, where is it leading to?[00:36:36] Mikhail Parakhin: As a segue to SimGym, like all those things start composing strongly.And, uh, you could see a huge unlock when you can look at each one of the tools and, and you see, oh, they're extremely useful. Uh, Tango is useful by itself. Auto Research is useful by itself. SimGym is useful by itself. If you combine all three, you create like synergetic effect. I think that's why we wanted to even, uh, cover them today is because this is something that if you go back even, you know, five years ago, would've been unthinkable.Uh, replicating that, uh, would, would be either incredibly costly or impossible, right? With probably thousands of people are required.[00:37:20] swyx: Well, we have serverless human, uh, serverless intelligence, right? Like, uh, so yes, you do have thousands of hu-- of, of intelligences, not just, not humans. And that's, that's close enough, right?Even if they're not AGI, they're, they're close enough to do the, the task that you need them to do. And, and, you know, that's, there's plenty for, for a lot of routine work, knowledge work. Okay, let's get into SimGym. Um, this is one of those things I, I was surprised to see actually it's apparently your, uh, one of your most popular launches, and I think something that, uh, I think Sim AI, I think Yunjun Park, who did the Smallville thing, there's a very small cottage industry of people trying to do like the simulate customer thing.I think a lot of people maybe don't super trust this yet because they're like, well, obviously they would just do what you prompt them to do, right? But maybe just think, uh, tell us about the sort of inspiration or origin story.[00:38:10] Mikhail Parakhin: That's exactly actually the thing I wanted to cover, because if you don't have the historical data, all you can do is prompt a-agents in a vacuum, and they will do exactly what you prompt them to do.In fact, when I first proposed it, and this is a bit of, um, my brainchild initially, if I, I can boast, even Toby said like, “But wouldn't they, they just repeat what, what you tell them?” And, uh, but I'm like, “Yes, except Shopify has decades of history of how people made changes and what there is, uh, there, what it resulted in terms of sales.”So now what we can do is we can-- we have this... It's not, it's a noisy data. There's a small, usually websites, uh, you know, like things, things are never in isolation. It's almost never AB experiment. It's always AA experiment when there's has two meanings, but basically, you know, in different time you run two different things.But if you aggregate in general, uh, like everything together, and you apply, uh, denoising and collaborative filtering like approach, you can extract a very clear signal. And then you can optimize your agents. And that's why it took so long. It took almost a year of that optimization of just us sitting and fiddling, and, and we had this internal goals of correlation of hitting-- internal goal was to hit zero point seven correlation with, uh, add to cart events, for example.Like that, that if we run real AB test experiment, that it should, it should go and, and rep-uh, replicate, uh, same sort of success that, that humans had or lack thereof. And it, it took forever, and I don't think that's easily replicatable because, uh, like who else would have that data? You have to have this historic, you know, decades, uh, worth of data.And now, now the, like the other thing you need is in-infrastructure and the scale, right? Because, uh, w- again, what we found, uh, stat sig results, you need to run a lot of simulations, a lot of agents, and, and it's-- Those are expensive things. Like you're, you're making actions in the browser because you want a real friction.You want to, to be able to get the image like of what humans will see because you wanna, uh, detect effects like, “Hey, if I make my images larger, will I have more sales or l- uh, fewer sales?” And like usually people's intuition here, by the way, is that I increase my images, I will have more because they look nicer.You know, designers all look sparse and big images. Like usually your sales tank, right? But, but, uh, you know, from HTML, all the characters look the same only the, the size tag looks different, right? So it's very hard. So you have to take visual information, you have to run this in simulated browser environment on the big farm and, and of course, you have to have, uh, like very, very expensive model, good model with multi-model model.So all this it's-- is what's taken so long and, uh, to share my personal fail a little bit there, Sean, is like, you know, we always had this bias to-- for like large company bias. You know, we always, uh, whenever you-- we do, we're like, “Hey, we'll run an experiment,” right? We make, make a change, and we will run an experiment and then, uh, see, uh, see which one's better or like, “No, this is worse,” and most of them are worse, so you discard it and keep iterating, hill climbing.And we're like, “Oh, like smaller merchants, they cannot get stat sig results. They cannot really run experiments simply because, you know, in a week there would be not enough data for them.” So we thought from this perspective. What we didn't realize is that most people don't have A and B, they just have one thing, and they need suggestions of What A and B should be.So, uh, we first build this, hey, we run simulation on two separate teams and, and, uh, say, “Hey, which one is better?” We then morphed it into, and very recently just released it, when you have just your site, your theme, we run over it and we say, “Hey, here's what predicted values of, of, uh, uh, conversions are, and here's how we think you should modify it to increase your conversions.”And then circling back to what you started with, the proof is in the pudding. Like, if we are not correlating with reality, like, people will not be using it. And, uh, thankfully, we see literally every day more users than the previous day. So, so right now, uh, right now- It's working. Yeah. I'm-- Right now my problem is how to pay for it all because the so our major thing is how to optimize the LLMs, do distillation, how to run the headless browsers, uh, and handful browsers, uh, uh, cheaper so that we can accommodate the increase in traffic.[00:42:47] swyx: Yeah. I, I understand that you, uh, you published a lot of technical detail at GTC, so I was just gonna bring it up a little bit. I think s- was this in, in con-conjunction with some kind of GTC presentation? Or something like that, right?[00:42:59] Mikhail Parakhin: Well, we, yeah, we, we did it in several place, but yeah, we had the engineering- Yeahblog, uh, as well. Yeah.[00:43:05] swyx: Yeah. So you're running, uh, GPT OSS. Uh,[00:43:08] Mikhail Parakhin: the, this is an older version. You know, now we run multimodal model. But yeah- Yeah ... GPT OSS, we still run GPT OSS as well for[00:43:15] swyx: And then you have the VMs, and you also have browser-based. I really like this one where it you said, “It violates almost every assumption that standard LLM serving is designed for.”And then you had like, basically orders of magnitude differences between everything.[00:43:29] Mikhail Parakhin: Exactly. Which is, which, uh, which was, you know, a bit of a challenge to implement, like when, like even simple things. Uh, be- since it violates all the assumptions, for example, multi-instance GPUs, like MIGs don't work as well.But we needed, uh, to get MIG to work because, ‘cause otherwise it's way too expensive. And so we had to deal with the, yeah, with, uh, lots of infrastructure and, and, uh, work with, uh, uh, Fireworks and CentML, uh, you know, to help with optimizations and browser-based, as you mentioned. Yeah, like, takes a village.[00:44:04] swyx: Okay. So there's a lot of like, I guess, experimentation in the infrastructure so far, and you've published more or less what you have here. I guess I'm, I'm less familiar with CentML. I, I don't do, uh, that much work in this, this part of the stack. But why was it the sort of preferred instance platform?[00:44:22] Mikhail Parakhin: There are really three probably top companies. There used to be, uh, uh- Three top companies, uh, at least I was aware of that did, uh, LM optimization. You know, together Fireworks and Santa ML, not necessarily in that order. Santa ML recently got acquired by NVIDIA. Uh, what they did is if you have a model and you want to optimize it to a specific prof-- uh, profile of usage, uh, they would go and do it.And, uh, we work with, with those companies, uh, this was work particularly in with Santa ML and NVIDIA to get them the best possible results out of it. And, and sometimes you, you have to retune depending on, like sometimes you want the maximum throughput, sometimes you want minimal latency, sometimes you want like the cheapest, right?And, yeah, or some combination. And so yeah, these are people who would come and help you.[00:45:14] swyx: I see. I see. Yeah, yeah. I'm familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there's a lot of diffusion as well.[00:45:38] Mikhail Parakhin: Exactly.[00:45:38] swyx: There's a lot here, so I, I, I... it's, it's, uh, it's, it's, it's hard to cover. But I, I do think like people underappreciate the importance of customer simulation, basically. I think this is something that I'm candidly still getting to terms with. Uh, you know, uh, you also-- your team also like prepared this, like, really nice diagram.Uh, I, I assume this is AI generated.[00:46:00] Mikhail Parakhin: Yeah, it looks-[00:46:01] swyx: Maybe it's not.[00:46:01] Mikhail Parakhin: Yeah, it looks, uh, Gemini-ish. Yeah, but, uh, uh, honestly, I, I don't know where, where the hell they generated. It looks, look, uh, looks like it's, uh, Google. But the interesting part, John, that, that, uh, we haven't covered, but I, I wanted to mention is if your store had previous customers, rather than it's a new store, you're like new merchant just launching things, it helps tremendously in just correlation and forecast.Yeah, we take your previous, uh, customer's behavior, and we create agents that replicate those specific distribution of, of customers that you get, and then we a- we apply those to your changes, and then that, that raised raw, you know, the re-- uh, just correlation with the add to cart events or to-- with conversion or whatever it, it, it may be, uh, quite dramatically.So, uh, replicating humans in general seems like an interesting, cool challenge.[00:46:58] swyx: As a shareholder, I think this is the-- like if people are Shopify shareholders, they should really deeply understand this because this is basically the moat. The, the more you use Shopify, the more it will just automatically improve, right?Like you're, you're doing the job for them.[00:47:13] Mikhail Parakhin: Yeah, that's what we started with. Like, uh- ... uh, otherwise, if you're just a startup, I wouldn't do it if, uh, you know, if it was my startup because Without the data, it, yeah, as, as you said, it's, it's exactly the case that, uh, whatever you say in prompt, that's, that's what the agents will be doing.[00:47:30] swyx: The statistician in me wants to like really satisfy the sort of, um, statistical intuition, I guess. Um, to me it's kind of, uh, the, the word that comes to mind is, um, ergodicity. Uh, so let's say a, a customer takes this path, customer takes this path, customer takes this path, right? Um, the... In my mind, the way I explain it is like, okay, here, here's the ninety-five percentile, here's the five percentile, and here's the median, right?Um, but to me, what SimGym is potentially doing is that it can, uh, modify... It can sort of model the sort of in-between sort of journeys as well, that, that maybe are dependent on the previous states. This may be like a very RL-type conclusion where like basically the summary statistics, if you only did naive AB testing, you only have the, the statistics at, at, at a certain point, and you only judge based on the sort of overall summary statistics.But here you can actually model trajectories. Does that make sense? Or-[00:48:31] Mikhail Parakhin: That makes total sense because like, well, that, that makes even more sense that maybe even you realize bec- because-[00:48:38] swyx: Okay. Please,[00:48:38] Mikhail Parakhin: please. Yes ... we do-- Yeah. The, so internally, uh, we have this system, we talked about it briefly once at NeurIPS.We have a huge HSTU-based system that models the whole companies, uh, and their possible paths. And like- Yeah ... what you are, what you are showing, like actually at any point of time, you can either model the user's behavior or you mo- can also think about, uh, the whole merchant as a company, as the entity that acts in the world.You can model that as well. And then you can do, can do counterfactuals. In your graph, like in your blue graph, uh, if you're... Imagine in the center there, uh, somewhere in the middle, you would have an intervention. I give that person a coupon, or I don't know, I send a personal thank you card, or give a discount in some- somewhere.And then you can, uh, then you can do forward rollouts from that counterfactual. So what would have happened with that intervention or without the intervention? And you can even ch- change where that intervention, uh, in time can happen, right? Like some- where, where in this journey. So we, we do this at the Shopify scale for our merchants, and then if we notice that something that they can be fixing, like there's a strong counterfactual, like we have Shopify policy, they basically get a notification like, “Hey, we think your...something is wrong with your-” I don't know, Canadian sales. Like, uh, it looks like it's misconfigured. Here's what you need to do. Or do you think like, uh, you have to set up this campaign with these parameters? And we do that at the buyer level to literally offer discounts or cashback or, or things to buyers.So this is-- I'm getting very excited. Like this is my sort of area of, uh, interest, I guess, and, and hobby. But being able to m-model something complex as human beings or companies and model counterfactuals on it, where you can have interventions in the future and optimize when to make intervention, what kind inter-- uh, what kind of intervention to make.It's such an unlock that previously was completely impossible. Like the-- it was, it was always dreamed of, but never... Like how would you even simulate it without LLMs or HTUs? I think very, very exciting times.[00:50:59] swyx: I just wanted to, uh, to maybe illustrate this. I, I'm not the best illustrator, but I, I am a conceptual statistics guy.And y-you know, you cannot just do this. Like this is a dimensionality AB test doesn't do, right? Like, uh, because it doesn't have the, the, the change over time, uh, stochastic nature, uh, and it doesn't have the sort of contextual like... Here's all the context to this point. Um, okay, cool. Um, that's SimGym.You're, you're gonna burn a lot of tokens on this thing. But you're, you're one of the, the only scale platforms in the world that can, uh, that can do this across a huge variety of workloads, right? I'm even curious on a sort of human, uh, research level of like, well, do, does retail behave d-differently from like clothing sales?D-does that behave differently from electronic sales? I, I don't know. I don't know what else you guys... The Kardashian shoppers, do they differ from like people who buy, uh, I don't know, cars and, uh, whatever.[00:51:55] Mikhail Parakhin: Well, very different, and different sensitivities and different modes of, uh, shopping and, and different levels of what's important.Now, to-totally, you can do aggregations at, uh, at a store level. You can do aggregations at a different, uh, category level. I don't know if, uh, you know, for our statisticians among us, I couldn't believe, but we-- recently we're looking at it, and we had to bring back, uh, CRPs, you know, Chinese restaurant process.It's a, like, way of aggregating and, like, naturally grow clustering. So across... Specifically to answer questions that, uh, like you were just posing on how, how if, if buyers behave different categories. And I'm like, “I haven't seen CRP since two thousand and one.” It's[00:52:37] swyx: so What? It's so- What is... No, I haven't, I haven't seen this.No. This is not in my training. Uh,[00:52:44] Mikhail Parakhin: but, but yeah, it, uh, uh, it actually, like the, the-- there was a very popular kind of theory, popular neurips HTML circles in early two thousands, uh, kind of nice. And now, now it has practical applications, uh- Yeah ... that we were resurrecting.[00:53:03] swyx: Yeah, amazing. Uh, I, I can see, I can see how this is like a, uh, a fun job for you where you get to apply all these things.Um, yeah, yeah, so super cool. Super cool. So, okay, so, so anyone who, who knows what CRPs are and has always wanted to use them at work, uh, they should, they should definitely join Shopify. Okay, so w-we have a lot and but I, I'm, I'm being mindful of the time. I, I do wanted to, to sort of cover some other things.Um, I-I'll give you a choice, UCP or Liquid?[00:53:30] Mikhail Parakhin: Liquid. I think, I think on UCP, you know, like UCP is very important for us and, and it just we are-- UCP, we have a structured, uh, discussions, and you can read about them, and we have, uh, blog posts, and we have a big release this week, in fact, like with our catalog.Oh,[00:53:46] swyx: okay.[00:53:46] Mikhail Parakhin: Uh, yeah,[00:53:46] swyx: but- Le-I mean, we, we can, we can discuss the, the, the release briefly because we'll release this after the-- after it's already announced so whatever. There's a catalog that you guys are doing?[00:53:55] Mikhail Parakhin: Yeah. So we are, we are- Okay ... we are bringing in capabilities of a whole, uh, Shopify catalog.Basically, you now you can search for products, you can do lookups by specific ID, you can do bulk lookups when you need to bring m-multiple products. You don't need to know in ad-in advance what you're trying to show or to sell or check out. Like, you can now, you can now have this decided at, at runtime, and this big area for investment for us for both non-personalized and personalized searches, trying to provide basically a win-window into whole universe of products that are being sold everywhere in the world.And Shopify is really not exactly, but almost like a super set of any-anything being sold. Now we are bringing it into UCP and, uh, and, uh, identity linking is another big thing for us, uh, so that you, you can use, uh, like Google or whatever, whatever identity you have, uh, they're minimizing friction.[00:54:56] swyx: Yeah. So[00:54:57] Mikhail Parakhin: yeah, big release for us.But Liquid AI of course we never talk about, and the problem might be more, more aligned with what we d-discussed previously on this chat.[00:55:07] swyx: Sure. The main thing that everyone understands about Liquid is that it is inspired by Worm, and I still don't know why. I'm curious on your explanation. I think you, you, uh, you can make things very approachable.And also I think like what is the potential of like the, the level of efficiency that you get out of Liquid?[00:55:23] Mikhail Parakhin: You- we all familiar with transformer architectures. And, uh, for the longest time, there was a competing architecture, it's called the state space models. So, so Sams, uh, you know, Chris, Chris Reyes, one of the pioneers and, and lots of startups, uh, trying to make those realities.They have, uh, significant benefits being main being, uh, being much faster and, uh, lower footprint and not quadratic in length, you know, sort of, uh, linear in, in, uh, in your context length. But with state space models- They never quite made it. Like they're used-- They have, uh, certain niches when they thrive, their hybrid architectures are useful, but they never quite made it.And liquid neural networks are, you can think of them as a next step, like, uh, sort of, uh, state-space model square. It's non-transformer architecture that's more complicated than sta-state space and really difficult to code if you-- if I'm being honest. But it's, um, very efficient. It's, uh, subline-- sub, uh, quadratic in, in length of your context.Uh, it's very compact way to represent things, and that's a liquid AI company. They... Their goal is to productize it, and very often you have this need, uh, when you need to have long context and small model, and you want to have low latency. Like in general, it's basically on par with transformers, and if you do hybrids with transformers, it's, it's even better.That's why we at Shopify, when we tried multiple and we constantly try multiple models, multiple companies, we found that for small, particularly with low latency applications, when you have low latency and/or if you need longer context lengths, liquid was the best. And so we still use the whole zoo and always like obviously test and use everything, uh, every open source model and, you know, it feels l

Send a textThis Talk Sex With Annette topic takes the show back to its roots when it was just a girl's sex talk podcast.For too long, women's most honest conversations about sex have happened in whispers — in group chats, locker rooms, and over wine when no one's listening.But what happens when we stop whispering?In this episode, I sit down with writer and pleasure activist Tash Doherty, the bold voice behind Miseducated, to talk about what women really say about sex when you're not in the room — and why it changes everything when we take the mic.We dive into:• The orgasm gap and why it still exists • Pegging, anal equality, and rewriting the sexual script • Why women fake orgasms (and why it hurts everyone) • How speaking openly about sex transforms relationships • What men need to understand about female pleasureThis isn't just about women talking about desire. It's about rewriting the rules of sex — for everyone.If you've ever wondered what women really think about sex… this episode is your invitation to find out.Check out Tash's Intimacy Journal Here: https://www.tashdoherty.com/shopFind her on Substack: https://misseducated.substack.com/

Abbey joins us who is a psychology (honours) student at Central Queensland University, interested in researching extraterrestrial beliefs.She helped put a survey together for the every day people in Australia, to see their views on the Extra-terrestrial beliefs & conspiracies, to see if they had any forms of encounters or experiences.We find out the thesis and end results into this research from a universities perspective.You can watch the youtube episode in the link belowhttps://www.youtube.com/live/z0bsDqFEbZk?si=kxGrcxyH9DPT-mO5....................You can find Encounters Down Under on all the major socials but make sure to like and follow the Encounters Down Under Podcast Facebook page where we live stream most of our interviews. This gives listeners the opportunity to ask our guest questions regarding their encounter in the comments.https://www.facebook.com/EncountersDo...Also join our community group for updates about the show and general discussions about episodes and more.https://www.facebook.com/groups/28337...Show your support for the show by grabbing yourself some awesome merchandise from our online store with a great variety of quality products to choose from.https://encounters-down-under.square.site/s/shopFind more unique designs in the link below from our fellow designerhttps://imaginvibes.com/collections/encounters-down-under?fbclid=IwAR2Jo4G3RRBP7Rw3MBo2vFwLonCCdvSCMI00YZXiOKwmGW_eX9fE8W6suIg_aem_AajmK6ShB5GRqkZJJwSPcg3Yi9BC7PjbMUOy6obYnxgEAipow3MABsYeBv2KbUFAokziO_8uHXMClIOJ9EhuMJ_S Hosted on Acast. See acast.com/privacy for more information.

In 2018, the Australian Diamonds lost the Commonwealth Games final by one goal. While the Diamonds have tasted plenty of successes since, it was that one-goal loss that's continued to motivate Liz Watson ever since.Liz is now in her fifth year as captain of Australia's Netball Team, the Diamonds. Along the way, she's steered the ship through some of the team's toughest times – from negotiating a new Collective Player Agreement to fronting a media scrum amid the Hancock Prospecting sponsorship saga. But she's also led the side to some of its best successes on court, including consecutive gold medals at the Commonwealth Games and Netball World Cup. Her secret to success as a leader? Remembering that everyone in the team is also a leader. This week Chloe sits down with Liz as the 2025 Super Netball Season heats up and her Sunshine Coast Lightning are on the verge of a finals berth. We hope you enjoy this episode.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.A rising tide lifts all boats. Shop our brand new TFAP merch:  https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Growing up, Grace Brown was quite the runner, but injuriesand some motivation from her dad, led her into the world of cycling. She captured hearts when she became the first  Australian woman to medal in the road time trial, winning gold at the Pairs Olympics, then winning the Cycling World Championships just weeks later. Two amazing feats made even more admirable considering itwas ONLY eight years earlier she was just THINKING about starting her cycling career. This week Chloe sits down with Olympic Cyclist GraceBrown to discuss her rapid rise to the top of road racing which all started when she joined a local cycling group.They chat all things from competing at the TokyoOlympics with a broken shoulder to making the decision to retire on your own terms, even when sometimes it means letting down your fans. We hope you enjoy this episode.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.A rising tide lifts all boats. Shop our brand new TFAP merch:  https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Growing up, Ilona Maher was a self-described awkward kid, but sport was always the place where she felt she belonged. After trying every sport under the sun, from softball to basketball she finally found rugby when she was in her senior year of high school and never looked back.The Rugby Sevens Olympic Medallist takes us through her journey to becoming an American Eagle and how she worked from the ground up to complement her rugby career with an epic social media platform. A platform she uses to encourage women around the world to take up sport, be confident and own how hard they've worked.This week Chloe sat down with the most followed Rugby Player on Instagram to chat about her childhood, her confidence and when she knew it was time to shoot her Olympic shot.Thanks to our friends at Budgy Smuggler, towards the end of the pod you also get to hear Ilona rank her favourite Aussie foods and give some hot takes on other iconic snacks. You can also watch this full episode on YouTube now! https://youtu.be/tG00Rbn0_7cCheck out Ilona's House of Maher podcast on Apple:https://podcasts.apple.com/au/podcast/house-of-maher/id1802929394Or YouTube:https://youtube.com/@houseofmaher?si=gDjwZc21VuYjNmAMBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.A rising tide lifts all boats. Shop new TFAP merch:  https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

** This episode contains themes surrounding eating disorders that some may find distressing. If you would like to access free and confidential support you can contact the Butterfly Foundation on 1800 33 4673. https://butterfly.org.au As a teenager growing up in New Zealand, Lydia O'Donnell fell in love with running. And on that running journey she found great success – winning New Zealand's national titles in the 10,000 metre and half marathon events.But along the way she found herself showing symptoms of disordered eating, as she faced pressure to train in a way that was right for men and that didn't take her unique female physiology into account.As a result she lost her menstrual cycle, and was hospitalised, almost losing her ability to run altogether.Now Lydia is the co-founder and CEO of Femmi, a women's running app designed to unite a community of women and teach us how we can move our bodies in a way that makes us feel confident.Welcome back to the Female Athlete Project, my name's Sophie, the producer here at TFAP. This week Chlo sits down with Lydia, who's also a NIKE run coach, to discuss changing the narrative around women's health and how Femmi is creating a space to educate women on how to run and move with confidence.Whether you're a running fanatic, thinking about going for your first jog or have never been at all - this episode's for you and we hope you enjoy it.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.Shop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Molly Picklum and Caity Simmers are quickly becoming professional surfing's favourite rivalry. But, they're also great friends and are the first to celebrate each other's wins.Caity Simmers is the current World Surf League Champion, the youngest-ever in the history of the sport. Meanwhile, Aussie Molly Picklum is hot on her heels, having scored the first-ever perfect 10 in the women's event at Pipeline.Currently ranked 2nd and 3rd in the world, surfing's two young guns sat down with Bez and Chloe for a live podcast event during the 2025 Gold Coast Pro.Molly and Caity chat about all the upcoming changes to the WSL Tour, how they each other on tour, what they're doing for future generations of female surfers and not to mention, why pipe is for the f****ng girls. We hope you enjoy this episode. Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.Shop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Maya Stewart is the Wallaroos all time-leading try scorer - a special feat made all the more impressive considering she first picked up rugby union ball at eighteen years old. Maya is now a key member of the NSW Waratahs side who are the most successful team in Super W history and finished off her 2024 season being crowned Wallaroos player of the year.In this chat, Chlo and Maya chat all things Rugby Union and what it means to have such a quick rise in the sport after overcoming two ACL injuries along the way. We hope you enjoy this episode.*Just a quick note, Chloe caught up with Maya before the Wallaroos first test match of the year. But in that match against Fiji, Maya was injured so while she won't get to play this weekend against New Zealand we've got all our TFAP fingers and toes crossed for her return as soon as possible.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.Shop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sports news.This week: NSW have won Game One of State of Origin, the Wallaroos are back in action, and Chelsea have won the Women's Super League in EnglandFor the key story, we'll discuss … news out of the Ironman World Champs returning to a one-day, one-location format. Hey YOU! Come spend a night with TFAP and two of the world's best professional surfers.Chloe and Bez will be hosting TFAP's first-ever live podcast, interviewing surfers Caity Simmers and Molly Picklum. Wednesday 7th May @ Kirra Beach House, Queensland. This is not one to miss. Grab your tickets now: https://www.eventbrite.com.au/e/a-night-with-tfap-and-red-bull-athletes-tickets-1324669134039Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sports news.This week: Aussie Isabella Nichols has won surfing's Bells Beach Pro, Alexa Leary has broken her own swimming world record and Arsenal have qualified for their first Champions League final in 18 years!For the key story, we'll discuss … the WNBL's new CBA that will see the minimum wage more than double over four years!You're invited to TFAP's first EVER State of Origin Watch Party! This Thursday 1st May 7pm @ Wayward Brewing Company, Sydney. Grab your tickets here: Watch Party TicketsQUEENSLANDERS! Come spend a night with TFAP and Red Bull athletes! Chloe and Bez will be hosting TFAP's first-ever live podcast, interviewing Aussie surfer Molly Picklum. Wednesday 7th May @ Kirra Beach House Queensland. This is not one to miss. Grab your tickets now: https://www.eventbrite.com.au/e/a-night-with-tfap-and-red-bull-athletes-tickets-1324669134039 Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Australia's Minister of Sport, Anika Wells, was born and raised in Queensland. She grew up playing many sports including netball, touch football, tennis and was even a gymnast. While she spent the early years of her career practising as a lawyer, when her daughter was born, she decided she wanted to make the world a better place for her and ran for her local seat of Lilley.In 2019, Wells became Australia's youngest female MP when she was elected to parliament. She is currently the Minister for Aged Care and Sport, and has a particular love for the way that sport ‘makes you want to hug strangers'.Chloe chats with Anika about a variety of the Australian government's polices that affect women in sport, including: Play Our Way, Sport Diplomacy and – Sports Horizon. We hope you enjoy this episode.Come to our first EVER Watch Party in Sydney for Game One of the Women's State of Origin series on May 1! Grab your tickets here: https://www.eventbrite.com.au/e/tfap-watch-party-womens-state-of-origin-game-one-tickets-1332069659209?aff=oddtdtcreator Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.Shop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport*For full transparency, the Female Athlete Project was approached by the Minister for Sport's Office for this interview. The minister was not provided with any interview questions before hand and was only briefed on the broad topics we wanted to discuss within her sports portfolio. The Female Athlete Project also reached out to the Shadow Minister for Sport, however, at the time this episode dropped, we are yet to hear back regarding her availability. Thank you for understanding that TFAP strives to provide you with transparency around the political side of women's sports.

Marlee Silva is a renowned Australian Rugby League journalist. Her love for the game began practically from the moment she was born, which was just three days before her dad won a premiership with the Canterbury-Bankstown Bulldogs.As a Dunghutti and Gamilaroi woman, storytelling has been part of Marlee's Indigenous Australian culture for over 60,000 years. So as a proud supporter of the NRLW, it only felt natural that telling stories about women's rugby league is what Marlee was destined to do.But now she's dipped into Longform storytelling to tackle some of the biggest issues within the game. This week Chloe caught up with Marlee following the release of her new documentary: Skin in the Game.Skin in the Game examines the role that Rugby League has played in Australia's history of domestic and family violence and what the sport can do to be part of the solution. You can watch Skin in the Game for free here: https://www.sbs.com.au/ondemand/tv-program/skin-in-the-game/2412109891542 Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop.Shop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sports news.This week: UConn have won this year's March Madness in the U.S, the NSW Waratahs and QLD Reds are through to the Super W Grand Final and the Griffith University Queensland Thunder have won back-to-back Australian Water Polo titles.For the key story, we'll discuss … Football Australia's decision this week to officially recognise the 1975 Matildas and why it's taken so long.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: The Aussie women have won silver at the Hong Kong Sevens, Arsenal and Chelsea are through to the Champions League Semi-Finals and the NSW Waratahs are Super W's Minor Premiers.For the key story, we'll discuss … new projections which show global women's sports revenue is expected to reach $3.6 BILLION Australian dollars this year!Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Australian Diamond Jo Weston spent her childhood growing up on her family's nut farm in regional Victoria. But it was a move to Melbourne where she found her love for the game of Netball and never looked back. It's been ten years since she first made her debut for the diamonds and in that time she's helped lead them to gold at both the Netball World Cup and Commonwealth Games.Off the court, Jo is President of the Australian Netball Players Association and played a major role in negotiating the New collective bargaining agreement that saw a new revenue-sharing model directly benefitting the players.This week Chloe and Jo caught up in Melbourne as Weston gears up for her 12th Super netball season as a Melbourne Vixen.They chat about professional life on and off the court and Jo's new book - Netball Besties which is set to hit the shelves on April 8. But you can preorder it here: https://www.penguin.com.au/books/jo-westons-netball-besties-1-the-mystery-of-missing-billie-9781761348525 We hope you enjoy it.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. Shop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: Nicola Olyslagers has become the first Aussie to win back-to-back goldsat the World Indoor Athletics Championships, Melbourne City are through to the semi-finals of the Asian Champions League and Holly Ranson has become the newest 24-hour Australian champion, running 263.548 km ran in 24hrs.For the key story, we'll discuss … a new seven aside women's soccer series that's starting in May and the prize pool is expected to be worth 5 MILLION dollars.It's not easy to make it as an athlete. Off-field challenges like funding travel, registrations, getting the right gear and the right nutrition can be really tough. That's why our partners at ATHENA Sports Nutrition have launched the Fuelling Futures Program. The Fuelling Futures program is designed to support female athletes who are on the cusp of going pro. ATHENA will select five athletes to receive $5,000 in cash + an incredible ATHENA nutrition, merch + nutrition consulting bundle. If that sounds like you - apply now. Entries close April 14th, 2025. https://athenanutrition.com.au/pages/fuelling-futuresBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: Aussie Charlotte Wilson has won her first World Cup gold in dual moguls, Chelsea are League Cup Champions, and The Aussie Gangurrus have secured bronze at the 3x3 Champions Cup.For the key story, we discuss … whether the women's super league should get rid of the promotion and relegation system.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Like many Winter athletes, Jackie Narracott fell in love with winter sports after watching the movie Cool Runnings. But unlike most other athletes, Jackie grew up in Queensland, Australia - known as the Sunshine State.So it was a chance encounter with the Australian bobsled team that led Jackie on her journey to discovering skeleton racing. A sport she describes as going down an icy waterslide with no brakes. And let's just say it was love at first slide.This week Chloe sits down with Jackie Narracott, the first Australian to earn an Olympic medal in skeleton racing.After recently announcing her retirement, Jackie chats with Chloe about the highs, lows and slippery slopes of her career, including an almost career-ending concussion.Jackie also shares what it was like to finally achieve her life-long dream of becoming an Olympian, not once, but twice.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: The Bendigo Spirit are the 2025 WNBL Champions, Georgia Voll has equalled the highest individual score in Women's Premier League cricket history and Molly Taylor is a race of champions tFor the key story, we discuss … a new alliance of world-leading sports scientists which is being labelled as "transformational" for the future of women's sport.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: The Jillaroos have hit the jackpot in Vegas, Aiva Anagnostiadis has become the first Australian woman to join the F1 academy and the Melbourne Ice are the 2025 Women's Ice Hockey ChampionsFor the key story, we discuss … how Sponsorship deals in women's sports are outpacing growth in some men's leagues by nearly 50 per cent.Want to spend International Women's Day with The Female Athlete Project in Sydney? We've teamed up with Nike and Femmi to celebrate.Attend a diverse panel discussion focused on the power of sport and movement for women empowerment followed by a 2km walk or 5km run. click here to sign up: https://www.nike.com/au/experiences/events/details?eventID=52732Or are you Queensland-based? Celebrate IWD with a summit hosted by AusTriathlon in Mooloolaba. Expect powerful stories, expert panels, and game-changing discussions that will leave you motivated and connected with an incredible community! Use the code WOMENINTRI25 for a free ticket: bit.ly/42TcCjrBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Growing up Molly Taylor's dream was to represent Australia in equestrian at the Olympics.  But oh how that all changed when she went to get her drivers' licence at age 16. Her parents encouraged her to do a defensive driving course, and once she got in that car, the rest was history. It was that moment that propelled Molly into motorsport, becoming the first and only woman to have won the Australian Rally Car Championship. She currently races in the International off-road racing series, Extreme E.This week, Chloe sits down with Molly Taylor to chat about paving the way for more women to get involved in Motorsport from a younger age. And what better time to catch up with Molly than a week out from the Race of Champions in Sydney on March 7 & 8 2025. We hope you enjoy this episode and if you're driving while listening, maybe don't channel your inner Molly on your morning commute.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: Grace Harris has become the first Aussie cricketer to take a hattrick in the WPL, American Skiier Mikaela Shiffrin has won her 100th World Cup race and the WNBL finals are heating up!For the key story, we'll discuss … the dramatic growth in football participation for women and girls in Australia since the 2023 FIFA Women's World Cup.Want a say in what TFAP looks like in 2025? We'd love it if you could take this 5 minute survey and share your thoughts and feedback. https://www.surveymonkey.com/r/9TQRH8MBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: Aussie Bree Walker has once again shown she is queen of the monobob, the Perth Lynx have beaten the Townsville Fire in a WNBL overtime thriller and North London is red because Arsenal have smashed the Spurs in the WSL's North London Derby.For the key story, we'll discuss … a new report showing four of the top seven most searched sports competitions in 2024 were women's specific sports leagues.Want a say in what TFAP looks like in 2025? We'd love it if you could take this 5 minute survey and share your thoughts and feedback. https://www.surveymonkey.com/r/9TQRH8MBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Australian Cricketer Phoebe Litchfield is quite the character off the cricket pitch. But when she's at the crease, almost nothing can stop her.The young gun from country New South Wales made her debut in the women's big bash league at just 16 years old, and continues to etch her name in history.She's the youngest Aussie cricketer to score fifty runs in both an ODI and the big bash. But just recently Phoebs become the youngest player to captain a women's big bash team, as captain of the Sydney Thunder.Welcome back to the female athlete project for 2025. To kick things off for the year, Chloe sits down with Phoebe Litchfield. The 21-year-old batter chats all things cricket and the increasing responsibility of being a professional athlete.And what better time to enjoy this episode than after the Australian women's cricket team made history with a 16-0 ashes whitewash over England.Want a say in what TFAP looks like in 2025? We'd love it if you could take this 5 minute survey and share your thoughts and feedback. https://www.surveymonkey.com/r/9TQRH8MBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sport news.This week: The Aussie women have clean-swept the slopes at the Aerial Skiing World Cup, Tyler Wright has become the first woman to win surfing's Pipeline TWICE and the Hockeyroos have made a solid start to 2025.For the key story, we'll discuss … the decision to split men's and women's golf at the Australian Open and what this means for the future of women's golf.Want a say in what TFAP looks like in 2025? We'd love it if you could take this 5 minute survey and share your thoughts and feedback. https://www.surveymonkey.com/r/9TQRH8MBuy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

A weekly podcast covering women's sports news. Taking a look around the grounds: Kasia Niewiadoma has won the Tour de France Femmes with the closest finish in the race's history, the Cronulla Sharks have continued their unbeaten run in the NRLW and Aussie cricketer Georgia Redmayne picked up her second player of the match in a row, in 'The Hundred'.For the key story, we chat about a historic move for women's football in England, with the FA transferring control of the Women's Super League and Championship to an independent organisation focused entirely on developing and marketing the women's game.Buy our kids book The A to Z of Who I Could Be, or book for adults GIRLS DON'T PLAY SPORT. www.thefemaleathleteproject.com/shopGet the wrap delivered into your inbox as a weekly newsletter! Subscribe here for the newsletter + don't miss a merch drop. bit.ly/tfapsubscribeShop TFAP merch: https://www.thefemaleathleteproject.com/shopFind us on Instagram: @thefemaleathleteproject#womenssport

Join us for a heartfelt conversation with Rachel Tucker, as she reflects on decades of trusting in God's timing. She shares how God answers prayers but often in an unexpected way. Rachel offers practical advice for moms supporting full-time missionaries and teaches the various ways gospel-sharing can take shape. Rachel's down-to-earth insights and light-hearted approach make this chat a must-listen. Rachel is the Founder and CEO of Seeking Diligently, an organization which teaches women about their divine identity and potential, spiritual gifts, and discipleship. She is a writer and speaker, and has created two topical gospel study guides. Rachel taught early-morning seminary for five years and is most in her element when she's teaching the gospel. She's spoken at numerous conferences and loves the opportunity to share her testimony and teach people.Find Rachel Here:Instagram: @seeking_diligentlywww.seekingdiligently.comRachel's Study Journals:https://www.seekingdiligently.com/shopFind the Latter-Day Ladies:Instagram: @thelatterdayladieswww.thelatterdayladies.comhttps://www.etsy.com/shop/TheLatterdayLadies

This week the Gays recover from a dramatic computer crash and episode loss. Kevin indulges in childhood buffet memories, Justin quizzes Kevin on Theater trivia, and they share their clear love and devotion to Jimmy Buffet. The Gays give Lauren Boebert tips to successful theater fondling and start a Gay Coven together; talking powers and favorite brooms and and magical flops.This weeks sponsored cocktail is Prosecco infused with jam currant! Want to sponsor a beverage? Cashapp Us! $TwoBlandGaysUpgrade your sweet feet with some CROCS!Use the link below to get your first pair of crocs! Get FREE SHIPPING on any order placed over $45! Join the Crocs Club - Click here to ShopFind the mattress to win over the Witcher with CASPER!Use the link below to get FREE SHIPPING on your new favorite mattress! Also save on Sheets, Jammies, Pet Beds & More! You're gonna love it as much as Henry doesJoin the Casper Gang - Click Here to ShopSupport the showEnjoyed this episode? Don't forget to share with your pals and follow us on Instagram @TwoBlandGays

This week it's all about the hot takes. The 'Unpopular Opinions', the controversial statements. Buckle up, we're breaking them all down this week!Upgrade your sweet feet with some CROCS!Use the link below to get your first pair of crocs! Get FREE SHIPPING on any order placed over $45! Join the Crocs Club - Click here to ShopFind the mattress to win over the Witcher with CASPER!Use the link below to get FREE SHIPPING on your new favorite mattress! Also save on Sheets, Jammies, Pet Beds & More! You're gonna love it as much as Henry doesJoin the Casper Gang - Click Here to ShopEnjoyed this episode? Don't forget to share with your pals and follow us on Instagram @TwoBlandGaysSupport the showEnjoyed this episode? Don't forget to share with your pals and follow us on Instagram @TwoBlandGays

A degenerate who had grandiose aspirations to become a man of importance and stature was nothing more than a self-absorbed two-bit criminal who graduated to murder.  His crimes would take years to uncover and resulted in one of the biggest miscarriages of justice in 20th century England.PLUS:  Dave and Garrett discuss how to keep people accountable in the gas line, "Do you stay?" or "Do you go?" during a hurricane and there is only one establishment that will remain open during an apocalypse.Share Criminal AF with your friends or leave a review: ·      Apple Podcasts·      Spotify Start your podcast today with Buzzsprout!Executive Producers for this episode are Christine Rivera, Beth Davis and Dusty Jay Hicks.  Associate Producers are Paul Hodge, Noah Schultz and Brooke Morgan.  Producers are Stephen Day, Trent Gobble, JD Driscoll, Devin Dean, Erica Beaupre, and Shantal Cieslak. For a narrative only version of this episode, subscribe to Criminal AF – Direct, available wherever you listen to podcasts, or go to CriminalAFPodcast.comTo become a CRIMINAL and support Criminal AF:·      Patreon ·      PayPal For Merch: CriminalAFPodcast.com/ShopFind us @CriminalAFPod on ALL Socials:·      Instagram·      Twitter·      TikTok·      Facebook·      YouTubeLeave us a message:·      Dave@CriminalAFPodcast.com·      Garrett@CriminalAFPodcast.com·      WhatsApp:  +1 860 317-5259Intro and Outro Music by David MercurioMusic for Florida Person of the Day – Riverboat Rambler by Bo the Drifter and all other music licensed through Epidemic Sound SourcesJohn Christie – Murderer - BiographyA Timeline of John Christie's Crimes - RadioTimesJohn Reginald Christie - MurderpediaJohn Christie – Serial Killer - WikipediaBe sure to follow us on Instagram @CriminalAFPodSupport the show

Two whole years! Can you believe? This week, The Gays are celebrating (and mourning)! This week, Justin and Kevin talk about Playboy, National Coming Out Day, what to do in a non consensual rough sex situation, treating your sugar daddy like your real father and their love for Sara Barielles. Kevin gets scolded for not getting fire ball, gets too drunk on Vanderpump Rose and shares one of his favorite moments with JustinJustin gives his opinion on Gay for Pay workers, ponders what Dakota Fanning is up to these days and gets real on his first kiss with a guy! Upgrade your sweet feet with some CROCS!Use the link below to get your first pair of crocs! Get FREE SHIPPING on any order placed over $45! Join the Crocs Club - Click here to ShopFind the mattress to win over the Witcher with CASPER!Use the link below to get FREE SHIPPING on your new favorite mattress! Also save on Sheets, Jammies, Pet Beds & More! You're gonna love it as much as Henry doesJoin the Casper Gang - Click Here to ShopSupport the showEnjoyed this episode? Don't forget to share with your pals and follow us on Instagram @TwoBlandGays

This Week Kevin and Justin catch up for the first time since the start of spooky season! Justin has decorated for fall, Kevin shakes Justin to his core over blow molds, and Justin blows up Kevin's spot about his hang over.The Gays discuss the passing of Queen Elizabeth Jones, finding a gay hook up in the 1800s, shitting in a jug under your bed and the genius who created deodorant for the first time.This week we hear from our Special Quest Cody, who fills us in on the true story about his poopy phone from the last episode.Upgrade your sweet feet with some CROCS!Use the link below to get your first pair of crocs! Get FREE SHIPPING on any order placed over $45! Join the Crocs Club - Click here to ShopFind the mattress to win over the Witcher with CASPER!Use the link below to get FREE SHIPPING on your new favorite mattress! Also save on Sheets, Jammies, Pet Beds & More! You're gonna love it as much as Henry doesJoin the Casper Gang - Click Here to ShopEnjoyed this episode? Don't forget to share with your pals and follow us on Instagram @TwoBlandGaysSupport the show

This week, The Gays try something new...well somewhat new. Kevin and Justin record this weeks episode periodically throughout a day of boozin' with their pals. Follow along as the gays progress into a booze filled night.The gays discuss Fall and Halloween decorations, new halloween movies coming this fall, a potential High School Musical Reunion, and kissing Shania Twain?? Kevin has gas and balls for giving someone his phone number! Kevin shares his bravery in giving a man his phone number while drunk at a bar.Upgrade your sweet feet with some CROCS!Use the link below to get your first pair of crocs! Get FREE SHIPPING on any order placed over $45! Join the Crocs Club - Click here to ShopFind the mattress to win over the Witcher with CASPER!Use the link below to get FREE SHIPPING on your new favorite mattress! Also save on Sheets, Jammies, Pet Beds & More! You're gonna love it as much as Henry doesJoin the Casper Gang - Click Here to ShopINSTACARTGrocery shop without leaving your couch! Get FREE SHIPPING on your first Instacart order of $35 or more! Never go to the grocery store again! Click here to shopEnjoyed this episode? Don't forget to share with your pals and follow us on Instagram @TwoBlandGaysSupport the show

Here the guys talk in detail about:Their backgrounds and they trust they have for each other.Two guys vs. Pablo Escobar that was responsible for 80% of the world's cocaine,Trusting Colombian National Police and was the goal to seize drugs or kill Escobar? Bounties placed on the agents. The deal Pablo made with his country, the sentencing, his prison living arrangements, and more details that will not seem possible. Was Escobar more dangerous after his escape & his money.The level of the corruption & did Pablo & Chapo work together? Who was Gustavo Gaviria?Times the case was almost shutdown, How Javier heard he had been killed, & getting back to normal life after Escobar death. World Speaking Tour, which is an adventureAn 80-year-old case that involves the Hawaii Clipper that could change the history books about WWIITheir podcast- Game of Crime Podcast- Evil is Coming. Links:DEA Narcos Website: https://www.deanarcos.com/Buy the book: Manhunters: How We Took Down Pablo Escobar: https://www.deanarcos.com/shopFind out where they will be speaking: https://www.deanarcos.com/speakingFollow their Podcast Game of Crime: https://www.deanarcos.com/gameofcrimes Buy Tommy a glass of vino: https://www.paypal.com/donate/?hosted_button_id=94FXFEN6E2MB2Become a BTL Member: https://www.beforethelightspod.com/supportBefore the Lights Website: https://www.beforethelightspod.com/Follow us on Instagram: https://www.instagram.com/beforethelightspodcast/MERCH: https://www.beforethelightspod.com/merch

DEA Partners, they were awarded Colombian national Police Medal of Distinguished Service, the men who spent 6 years taking down narco-terrorist Pablo Escobar. 1993- Steve was present during the chase & shooting that resulted in the death of Pablo Escobar. They are senior consultants in the Netflix Show- Narcos and lecture around the country on drug trafficking & security related challenges. Cofounders of a law enforcement private consulting firm. Here the guys talk in detail about:Their backgrounds and they trust they have for each other.Two guys vs. Pablo Escobar that was responsible for 80% of the world's cocaine,Trusting Colombian National Police and was the goal to seize drugs or kill Escobar? Bounties placed on the agents. The deal Pablo made with his country, the sentencing, his prison living arrangements, and more details that will not seem possible. Was Escobar more dangerous after his escape & his money.The level of the corruption & did Pablo & Chapo work together? Who was Gustavo Gaviria?Times the case was almost shutdown, How Javier heard he had been killed, & getting back to normal life after Escobar death. World Speaking Tour, which is an adventureAn 80-year-old case that involves the Hawaii Clipper that could change the history books about WWIITheir podcast- Game of Crime Podcast- Evil is Coming. Links:DEA Narcos Website: https://www.deanarcos.com/Buy the book: Manhunters: How We Took Down Pablo Escobar: https://www.deanarcos.com/shopFind out where they will be speaking: https://www.deanarcos.com/speakingFollow their Podcast Game of Crime: https://www.deanarcos.com/gameofcrimes Buy Tommy a glass of vino: https://www.paypal.com/donate/?hosted_button_id=94FXFEN6E2MB2Become a BTL Member: https://www.beforethelightspod.com/supportBefore the Lights Website: https://www.beforethelightspod.com/Follow us on Instagram: https://www.instagram.com/beforethelightspodcast/MERCH: https://www.beforethelightspod.com/merch Extra 5What was the fascination with Pablo Escobar?How they bring awareness to drugsHow dangerous is fentanyl?Support the show (https://www.beforethelightspod.com/member-areas)

Leola chats with Oorja, founder of Revive Style. Oorja is a sustainable fashion designer and blogger based in Mumbai, India. Leola and Oorja discuss the current landscape of tantra and spirituality in her community of Bombay. Oorja shares her perspective of living an artful life - using  clothing and other adornments as ways to express oneself. Oorja and Leola provide suggestions and rituals to the listener for embodying one's highest self.Find and follow OorjaIG: @oorja.revivestylewww.revive.style/shopFind and follow Leola...www.talktantratome.comIG: @talktantratomeTwitter: @talktantratome 

Find out how the story of the suit of pentacles ends in the last episode of the season. Host Amanda Yates Garcia breaks it all down with guest, Benebell Wen, author of two tarot books and the creator of the Spirit Keeper's Tarot deck.In this episode we discuss:how the 10 of Pentacles is a good omenfamily matters and ancestral influencesMiranda JulyWhat it means to receive an inheritancecan the tarot predict events or forecast the future?how to break unhealthy cyclesthe Green Manhow if you get the ten of pentacles you risk losing all your wealth if you don't do this one thingthe potlatchthe geopolitical lessons of the 10 of pentacleswhat happens when you try to control things that are not yours to controlMercury in Virgothe 10 of Pents relationship to the Wheel of Fortuneand what your reaction when you get the 10 of Pentacles says about you!We can't wait to hear what you think! Join us!To find out more about our ACE OF PENTACLES: ABUNDANCE MAGICK WORKSHOP either scroll down or visit our website. www.betweentheworldspodcast.com/shopFind us on Instagram at:Podcast: @Betweentheworldspodcast Amanda: @OracleofLA Carolyn: @CarolynPennypackerRiggsTo leave a review of the podcast on iTunes, open your Apple Podcasts APP and scroll down to the comments. Or you can try to click this link (sometimes it works and sometimes it doesn't depending on your set up). REFERENCES FOR THIS EPISODE:Podcast Recommendation: If I Go Missing The Witches Did It“Green Man: The Archetype of Our Oneness with the Earth,” a book by William Anderson."Cat's in the Cradle," a folk song by Harry Chapin."Young and Dangerous," a Chinese TV show."Dynasty," an American TV show."Downton Abbey," a British TV show. *********************************Find out more about our special guest, Benebell Wen: Benebell Wen is the author of Holistic Tarot and The Tao of Craft, both published by North Atlantic Books. She is also the artist and creator of the Spirit Keeper's Tarot. Find her on Instagram: @bellwen.Or at the following:Website. http://www.benebellwen.comYouTube. https://www.youtube.com/c/BenebellWenTwitter. http://www.twitter.com/tarotanalysisInstagram. http://www.instagram.com/bellwen ********************************* UPCOMING WORKSHOPS  - ACE OF PENTACLES: ABUNDANCE MAGICKAbundance is already present, but remembering that can be a challenge in a culture that's modeled on scarcity. True abundance includes rest, love, nourishment, inspiration, security, and pleasure. In this workshop we will establish a new relationship to abundance, inspired by the natural systems of the earth and the wisdom tradition of the tarot. This workshop includes:Invocation to call in abundance whenever you want or need toA beautiful PDF including special correspondences, FAQs, deities, a reference list and moreA tarot spread for abundance3 easy abundance rituals for daily use (or whenever you need)1 expansive ritual done in the live workshop to call abundance into your life right nowAn abundance meditation you can use whenever you need to get into that state of flowAnd so much more!Anyone can join this workshop but current subscribers to our coven at the Jupiter level receive the workshop with the cost of membership.  CLICK HERE TO FIND OUT MORE.Become a Between the Worlds Weird Circle Subscriber, click here. **********************************Learn More About Your Host Amanda Yates Garcia, & Buy Her BookTo sign up for Amanda's newsletter, CLICK HERE.To order Amanda's book, "Initiated: Memoir of a Witch" CLICK HERE.Amanda's InstagramAmanda's FacebookTo book an appointment with Amanda go to www.oracleoflosangeles.com **********************************MIND YOUR PRACTICE PODCASTMind Your Practice - Carolyn's  podcast with arts consultant and author of Make Your Art No Matter What, Beth Pickens - is geared towards artists and writers looking for strategies and support to build their projects and practices (plus loving pep talks).There's even a club - “Homework Club” - which offers creative people support and strategies for keeping their projects and practices a priority with monthly webinars, worksheets, live QnA's, optional accountability pods, and ACTUAL HOMEWORK (that you'll never be graded on. Ever!)You can visit MindYourPractice.com for more details or listen wherever you stream Between the Worlds. **********************************Original MUSIC by Carolyn Pennypacker Riggs**********************************Get in touch with sponsorship inquiries for Between the Worlds at betweentheworldspodcast@gmail.com.**CONTRIBUTORS:Amanda Yates Garcia (host) & Carolyn Pennypacker Riggs (producer). The BTW logo collage was created by Maria Minnis (tinyparsnip.com / instagram.com/tinyparsnip ) with text designed by Leah Hayes.

On today's episode Ashley talks about her holistic approach in treating acne from the inside out and what you need to know about antibiotics, probiotics and prebiotics as they relate to acne.To order any DMK products like the high quality EFA+ Supplements or Beta Gel that was mentioned in this episode, please email us at glowfromwithin@evolveskinandwellness.comYou can shop my carefully curated collection of performance skincare here: www.evolveskinandwellness.com/shopFind me on IG @agelessashley

In episode four of the Brand, Market, Flourish podcast, I'm sharing eight tips to help you stay motivated so that you can reach your goals.Thanks so much for joining me for another episode! Join me each and every Wednesday for a brand new episode.Let's connect on Instagram at https://instagram.com/fleurironlineCheck out my Showit template shop at https://fleurironline.com/shopFind out more and join the Blooming Brand Academy https://fleurironline.com/bba/

Welcome to the first-ever episode of the Brand, Market, Flourish podcast. I honestly can't believe I'm recording this. Launching a podcast has been on my yearly goals list for the past two years but I just kept putting it off. EPSIODE HIGHLIGHTSHow being an entrepreneur was never part of the planMy first business before Fleurir OnlineHow I got into marketing and designHow I knew that branding and marketing was my callingHow being made redundant when I was 5 weeks pregnant was the best thing that could have happenedThe changes that have happened in my business so far and how they have led me to where I am nowHow I transitioned from custom branding and web design to launching digital products and one-to-many offeringsThanks so much for joining me on my episode debut!  Join me each and every Wednesday for a brand new episode.Let's connect on Instagram at https://instagram.com/fleurironlineCheck out my Showit template shop at https://fleurironline.com/shopFind out more and join the Blooming Brand Academy https://fleurironline.com/bba/

From debilitating anxiety to speaking at a retreat, releasing T-Shirts and hosting workshops....My life has changed so much the last year and I owe it all to the inner work I  have dedicated myself to..So this week I decided to give YOU  a pep talk on being WORTHY.. For more information on the Self Love For Success Workshop you can email me at : hello@rachelleugalde.comGet your "Worthy" T-shirt here: www.rachelleugalde.com/shopFind me on IG: @rachelleugaldeFind me on FB: @RealtalkwithrachelleMy Website: www.rachelleugalde.com