Podcasts about Benchmark

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Alison "Ali" McElroy, Founder and CEO of Kaleidoscope Growth Advisors, has spent nearly two decades helping franchise brands scale across global markets, and she's seen exactly where growth quietly turns into fragility. In this conversation, she breaks down why unit-level economics, not sales momentum, determine whether a brand survives its next stage, and why "slow to go fast" beats scaling on optimism alone. If you're leading growth through a complexity ceiling, this episode reframes what actually needs to be solid before you push further.What You'll LearnWhy growth and scale aren't the same thingThe real cost of skipping foundational homeworkHow unit economics predict long-term survivalWhat "royalty self-sufficiency" actually protectsWhy culture cracks first at scaleThe mindset shared by founders who break throughWhere AI should. and shouldn't, enter your opsA framework for balancing agility with structureResources MentionedKaleidoscope Growth Advisors  Certified Franchise Executive (CFE)  Global Franchise Magazine's 100 Influential Women in Franchising FDD (Franchise Disclosure Document)  Royalty Self-Sufficiency Green in the Grain  Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

 In this episode, IAB Europe's Marketing & Communications Director, Lauren Wakefield, is joined by Daniel Knapp, Chief Economist at IAB Europe, to discuss the key findings from the 20th edition of the AdEx Benchmark Report and what they reveal about Europe's digital advertising market in 2025.The conversation explores the market's 10.5% growth to €131 billion, the continued momentum behind video, social, and Retail Media, regional market trends, and the role of AI in shaping the future of digital advertising. Lauren and Daniel also look ahead to the opportunities and challenges that could influence advertiser investment in 2026. 

Escucha martes y viernes la opinión de Jorge A. Meléndez.

We speak to My.Games CEO Elena Grigorian about forever franchises like War Robots and Rush Royale, and delve into its new R&D structure and why it plots a $50m a year benchmark for new games.** Let's Connect **

A structural shift is occurring as employees and customers increasingly bypass sanctioned IT systems in favor of faster, unsanctioned "shadow" tools that offer comparable or "good enough" functionality with less friction. This shift is highlighted through evidence from Gartner, SparkToro, Microsoft, and reports from Altran Digital Business, which collectively show sanctioned internal and customer-facing systems losing relevance as users opt for alternative solutions that optimize convenience and efficiency over formal governance. The most consequential development referenced is Microsoft's move to replace premium OpenAI and Anthropic models in core applications like Excel and Outlook with lower-cost in-house models, as reported by Bloomberg and Channel Insider. Microsoft claims these new models offer similar accuracy with increased efficiency, reflecting a broader market trend toward solutions that meet minimal functional thresholds at drastically reduced costs. This mirrors broader enterprise behavior, where cost and sufficiency now outweigh premium features, driving a reconsideration of value in AI provisioning. Supporting developments include a Gartner survey showing consumers are about three times more likely to use general AI tools like ChatGPT than corporate chatbots, and a report from Altran Digital Business revealing that over half of employees rely on personal devices or unauthorized tools for work, with nearly a third ceasing to report IT problems entirely. Clickstream data shows that more than two-thirds of Google searches end without a click as users accept AI summary answers, bypassing source links altogether. Vendors such as N-Able and Okta are responding with new products aimed at identifying and gating shadow tool usage, but these approaches often add operational friction without actually closing governance gaps, as Kaseya data indicates most SaaS accounts remain unmanaged despite existing controls. For MSPs and IT leaders, the key implication is that additional controls and "lockdown" measures are likely to increase friction without effectively steering users back to sanctioned processes. Current market tools that focus on visibility and gating of shadow IT may exacerbate the problem by making official workflows less attractive. The practical recommendation is to map where users have already abandoned sanctioned paths and focus on improving those official workflows until they are easily usable and competitive with shadow alternatives. The effectiveness of service delivery should be measured not by control metrics, but by whether users actively choose sanctioned systems for their work.   00:00 The quiet walkout  03:49 Even Microsoft picked good-enough 06:22 Why more control backfires 09:00 Why Do We Care?  Supported by:  Pax8   

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AI chip maker SambaNova has raised at an $11 billion valuation months after Intel was rumored to be trying to buy it for about $1.6 billion. Plus, Benchmark-backed Ollama has amassed 176,000 stars, and nearly 17,000 forks on Github by helping developers easily run AI on their PCs. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Chantel Soumis, Head of Marketing and Partnerships at Franchise Empire, joins host Brendon Dennewill to challenge how brands are approaching AI, customer engagement, and content strategy in 2026. With two decades of experience as a fractional CMO and franchise marketing leader, Chantel makes the case for human-first marketing, a structured listening tour approach, and a deliberate "anti-AI policy" that protects brand trust. If you lead marketing, revenue, or operations in a franchise or multi-location brand, this episode will reshape how you think about consistency, differentiation, and the real cost of getting it wrong.What You'll LearnWhy your customers are your brandThe case for an anti-AI policyWhat the EOS framework reveals about marketing gapsHow listening tours shape content strategyThe hidden cost of AI-generated brand damageWorking Genius and right-seat leadershipCAC and LTV as the marketing "holy grail"Resources MentionedEOS (Entrepreneurial Operating System)The Six Types of Working Genius by Patrick Lencioni Who Not How by Dan Sullivan HubSpot Culver's Frozen Custard Franchise Business Review (FBR) Survey Vistage Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

Escucha martes y viernes la opinión de Jorge A. Meléndez.

UBS has stated that 60% of companies are greatly reducing their US Artificial Intelligence usage in favor of Chinese AI due to the reduced costs. Chinese AI costs are up to 95% less than US AI technology.  Benchmark tests are showing that Chinese AI is 80 - 95% as effective as US AI. It is becoming difficult for companies to justify the cost of US AI with the Chinese models nearly as efficient. AI related US stock valuations are priced for dominance of AI usage. If AI demand continues to decline due to high costs, this will likely cause the AI bubble to burst. Index annuities are a tremendous financial tool to continue strong upside gains if the markets continue to rise, yet protect against downside market risk.

Clay Bavor is the Co-Founder of Sierra, one of the world's fastest-growing enterprise AI companies. Sierra is valued at approximately $15.8 billion, has raised more than $1.5BN from leading investors including Sequoia, Benchmark, Greenoaks, GV and Tiger Global, and today serves more than 40% of the Fortune 50. The company recently surpassed $150 ARR, making it one of the fastest-growing enterprise software businesses in history. AGENDA: 00:00 – Why Frontier AI Demand Will Be Unlimited 08:00 – Open Models vs Frontier Models: Who Actually Wins? 17:00 – China's AI Advantage & The Distillation Debate 20:30 – Inside Sierra: The AI Agents Running the Entire Company 24:00 – The $100,000 Token Budget Every Engineer Will Soon Need 29:00 – Building AI for 40% of the Fortune 50 37:00 – Why Forward-Deployed Engineers Are the Future of Enterprise AI 43:00 – Sierra's Unusual Board Meetings & Billion-Dollar Company Playbook 48:00 – The Four Values Behind a $16B Startup: Craftsmanship, Intensity & Family 56:00 – Clay Bavor's Hiring Philosophy, AI-First Teams & What's Coming Next  

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Stocks kicking off the second half in the red after the Dow touched a fresh record high in the session. Why tomorrow's June jobs report could mean good news for the economy, but bad news for markets as investors await the Fed's next rate decision. Then, Strategy sees big gains after announcing its new approach with bitcoin. Benchmark senior analyst Mark Palmer lays out what this means for the bitcoin holder, and why he sees the stock surging nearly 500%. Plus, Meta's cloud business ventures, Walmart's rough few months, and top dividend kings. Fast Money Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This episode has a fun personal twist: There's a counterfactual world where I was employee #1 at Genesis Molecular AI, the company behind today's episode. A certain introduction happened a few weeks too late and I had already happily signed at Atomwise, another ML-for-drug-discovery startup. Same problem, different company. I was certain ML was going to transform small molecule drug discovery. Early results were underwhelming. Useful at times, but nowhere near revolutionary. In the last year I've seen signs that ML is finally ready to deliver on my convictions from a decade ago. Genesis is one of the places that might have finally cracked this problem. I was super excited to come full circle and catch up with co-founder Evan Feinberg and CTO Sergey Edunov.If you are at all interested in small molecule drug discovery, we think you will find this fascinating!In our nearly two hour chat we cover:* What is small molecule drug discovery, and why is it hard* Structure prediction as a hotbed of innovation in AI algorithms* How advances in AI elsewhere have enabled stepwise improvements in predictive power* How the community benchmarks are essentially calling AI slop good enough* The Genesis flagship model (PEARL) can routinely hit a threshold that is necessary for real-world applications* New agentic workflows enabled by these highly accurate modelsRead on for more, and also some personal thoughts on the future at the end.The coolest diffusion research is happening at GenesisSergey Edunov came to Genesis from Meta where he led Llama 2 training and Llama 3 pretraining. Sergey was a former physicist who thought he was done with physics after many years of training LLMs. Then, he discovered Genesis, and was blown away with all the novel architecture work they've been developing.It probably surprises no one that modern LLM research has not resulted in fundamentally novel or exciting updates in architectures since almost the advent of the transformer — the entire field is using variants on the same idea that came out in the original “Attention is all you need” paper. Sure, some were quite useful (mixture-of-experts in particular allowed for the massive model paradigm we're at today), but there was very little conceptually exciting.“We sort of had to wait for the right primitive to get created, and that turned out to be diffusion… Actually, some of the most innovative diffusion research that's happening in our field is happening in 3D structure prediction right now.” — Evan FeinbergThe field of 3D structure prediction on the other hand has been a hotbed of research. Genesis' recent model PEARL (Place Every Atom at the Right Location) is able to understand protein flexibility, and model not just where the ligand goes, but also make small adjustments of the protein so that the two fit better than either alone. The field knew this was missing for a long time, but it was really hard to model until now.Agentic DiscoveryWhat makes this problem so hard? As Sergey points out, there are 10^60 possible drug-like small molecules. You'll never be able to search them all, and trying to find the good ones is something like finding a needle in a haystack — except everything except your needle is dangerous.“There are 10 to the 60 drug-like small molecules in the universe… it's like finding a needle in a haystack, where everything except your needle is very, very dangerous.” — Sergey Edunov“Or finding hay in a needle stack might be a more apt analogy.” — Evan FeinbergTrying to solve the multi-parameter optimization problem is even worse. What makes a strong binder and a molecule with good “ADMET Properties” are oftentimes at tension with each other. For example, a good binder is likely greasy, but a greasy molecule is likely insoluble so it won't enter the bloodstream and get to where it needs to go!Genesis' advances in generative AI have now pushed them beyond the threshold where they believe agentic drug discovery loops are finally possible. We all remember the early days of LLMs. They were great chatbots but terrible agents, as small errors compounded rapidly into uselessness. As LLMs got better, the usefulness of agents rapidly improved. Evan and Sergey argue that their models at Genesis recently passed a similar threshold. Their internal agentic drug-discovery system (code named SAPPHIRE) can now iterate like a chemist: look at and reason about poses, form hypotheses, read literature, use internal tools, create candidates for the next iteration. Combining this with automated lab partnerships like the one Genesis has with Incyte, we're rapidly approaching a time of drug discovery agents running 24/7 making/testing new molecules. Exciting times!Benchmark crisis: Everyone's favorite benchmark is slopOne surprising point that isn't talked enough about: the academic field of “co-folding” has settled on a benchmark value of “2 Angstrom RMSD” as a metric for a “good pose”. Evan does not mince words: this threshold is just bad. Perhaps even deceptively bad. For many strong binders, there's a very clear pose, one that you can even directly resolve in the PDB electron density! And yet, with a 2Å RMSD threshold, you can get the pose quite wrong in ways that might even mislead a medicinal chemist. For example, flip around an aromatic ring, and everything looks reasonable, but you're no longer modeling the right interactions.Evan makes the strong claim that 1Å RMSD is really the threshold necessary to ensure the core of the molecule is sitting where it needs to be, and models all interactions.“If your model is sitting at 1.8, 1.9 Angstrom RMSD, that's slop, most likely.” — Evan FeinbergAs a simple example, he points out hydrogen bonds which are responsible for many of the most important interactions in protein-ligand systems. Hydrogen bonds only have a 0.6Å range to be valid! Clearly if you're accurately resolving all H-bonds, you generally have to be doing much better than the 2Å threshold.This is clearly a hard-fought lesson for Evan and Genesis. In their opinion, the community is stuck on these benchmarks because academics developing methods were not users. Evan does see signs of life, with the use of new metrics such as lDDT for co-folding. Hopefully soon the community can agree that “1.8Å RMSD is slop”, and start hill climbing on this much harder task.For a more thorough exploration of the weaknesses in conventional benchmarks, see the PEARL technical report.PEARL tops OpenBindWhich makes what happened next all the more striking. Near the end of the podcast, we talked about a recent “proof-is-in-the-pudding” moment for Genesis — evaluating their PEARL model on a recently released OpenBind benchmark. This benchmark featured 802 never before seen co-complexes on a target protein EV-A71. This target seems almost custom-chosen to give most classical docking methods a problem. When a ligand binds to the main binding site, the protein moves around to close off the path the ligand used to enter the binding pocket. This process, known as “induced fit” is notoriously hard for traditional methods to model. The tradeoff is easy to understand: treating the protein as a static structure, it becomes difficult to place a ligand in a binding pocket. Treat the protein as dynamic, and now you have to simulate complicated processes that take a long time to resolve.PEARL was able to model the induced fit of the ligand without running long MD simulations. Across the different evaluation metrics, PEARL came out not just ahead, but oftentimes well ahead of any public model. A truly impressive result.“Where PEARL was exceptionally good is figuring out how to move this loop. We are basically correct for every single pose.” — Sergey EdunovEven more exciting, this was done without any fine-tuning, or using any data on the target or homologous targets — the template PDB was released after PEARL's training cutoff.Where does co-folding go now?As someone who has followed or participated in ML techniques for protein-ligand interactions for almost a decade, I was genuinely impressed with the results that Genesis has released recently. This has been many years in development, and I'm sure Evan and the team had many sleepless nights trying to get to this point. I also think other teams are making similar progress — both Isomorphic and Deep Origin have released results that seem spiritually similar and combine computation, wetlab data, ML, to achieve genuine predictive power that seemed impossible a decade ago. Sadly, all of the above are closed source so there's no way to honestly compare them. Looking at the results I think there might be a time in the not so distant future where we can consider protein-ligand binding “solved”.I sincerely hope that the academic community can take inspiration from these developments. Once you know something can be done, it's much easier to execute. Still, I believe that the key enabler in all of the above was the tight integration of ML, large-scale computation, and real-world drug discovery applications. Sadly academia is just not structured in a way that makes such a development easy.With those parting thoughts, we hope you give the podcast a listen! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Tim Scarfe travels to Zurich to sit down with the Tufa Labs ARC-AGI-3 team — founder Benjamin Crouzier, with Jeroen Cottaar, Dries Smit, Stefano Viel and Michal Tesnar — to work out what their leaderboard-topping system does and what the benchmark is really testing.The cut opens on the games: a walkthrough of the Locksmith game, where you read the rules of an unfamiliar world straight from raw frames. ARC-AGI-3 makes ARC interactive and agentic, so the model has to *discover* the goal rather than transduce a static grid. It stays easy for humans and breaks LLMs, and it runs through everything that follows. Dries traces his StochasticGoose preview win — brute force that only searched actions which changed the frame — and why it collapsed once the organisers added action-efficiency scoring and unseen games.Induction and transduction run through the middle of the conversation — how much of an answer is really priors leaking back the moment a model recognises a maze. The abstraction mountain, and Tim's case that LLMs reach the right answer through fractured, entangled representations — performance, not competence. Whether transformers plan at all or just fake it well enough. Why the score really measures action efficiency, not games solved, and why agents lock onto the wrong goal and cannot climb back out.Crouzier closes on the Tufa Labs thesis — a small lab against the giants, the bitter lesson against hand-built harnesses, and safety — and Tim ties it back to Kenneth Stanley, deep constraints, and creativity as competence.Disclosure: Tufa Labs sponsors MLST. ---TIMESTAMPS:00:00:00 Meet the Tufa team and what makes ARC-AGI-3 hard00:02:11 Locksmith game: reading the rules from raw frames00:03:10 Why build an independent research lab00:04:11 StochasticGoose: a preview win, then the hardened games00:07:58 Induction, transduction, and priors inside LLMs00:10:31 Curiosity, world models, and exploring by frame change00:14:32 Understanding debt and losing sight of your own code00:15:53 Requirements-based agents and human-AI co-creativity00:19:22 Why auto-research misses the big picture00:21:54 The abstraction mountain and fractured representations00:27:36 Constraints and making LLMs act as if they understand00:34:51 Human difficulty calibration, esports priors, and emergence00:41:35 Agency, goal acquisition, and two kinds of planning00:47:31 Harnesses, the 36% number, and wrong-goal loops00:52:33 Rewards, goals, and why ARC-AGI-3 resists brute force01:00:46 Would solving ARC-AGI-3 prove AGI?01:07:53 Stripping language away, then priors leak back01:14:06 Representation and whether language is necessary01:18:04 The bitter lesson versus specialised harnesses01:22:20 Capability research, safety, and the software singularity---REFERENCES:organization:[00:02:11] ARC-AGI-3https://arcprize.org/arc-agi/3[00:03:10] Tufa Labshttps://tufalabs.ai/team/[00:04:20] ARC-AGI-3 Preview Agent Competitionhttps://arcprize.org/competitions/arc-agi-3-preview-agentstool:[00:04:55] StochasticGoose ARC-AGI-3 solutionhttps://github.com/DriesSmit/ARC3-solution[00:07:42] ArcGenticahttps://github.com/symbolica-ai/arcgentica[00:07:49] RGB-Agenthttps://github.com/alexisfox7/RGB-Agent[00:14:38] Claude Codehttps://www.anthropic.com/claude-code[01:03:42] Qwen 3.6 27Bhttps://huggingface.co/Qwen/Qwen3.6-27Bpaper:[00:13:03] On the Measure of Intelligencehttps://arxiv.org/abs/1911.01547[00:27:42] DreamCoderhttps://arxiv.org/abs/2006.08381[00:43:55] On the Biology of a Large Language Modelhttps://transformer-circuits.pub/2025/attribution-graphs/biology.html[01:18:46] ImageNet Classification with Deep CNNs (AlexNet)https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdfother:[01:18:16] The Bitter Lessonhttp://www.incompleteideas.net/IncIdeas/BitterLesson.html---https://app.rescript.info/share/463d7f031349b4b9db428553eed88230

Sally Facinelli, growth strategist and franchise advisor with nearly 30 years in the industry, joins Brendon Dennewill to challenge the instinct to scale fast and instead make the case for intentional, systems-driven growth. From leadership transitions and organizational clarity to real-time data visibility and the accelerating impact of AI on franchise operations, Sally brings a practitioner's lens to the questions most brands avoid until it's too late. If your franchise is hitting a ceiling and you can't figure out why, this conversation will tell you exactly where to look.What You'll LearnWhy pausing momentum actually protects itThe leadership change most growing brands delay too longGrowth exposes problems, it doesn't create themBrand consistency requires more than standards documentsData without adoption is just expensive noiseWhy franchisee success is the real FranDev strategyAI as an efficiency multiplier, not a headcount replacementProactive vs. reactive brands: the COVID test caseResourcesFranchise Business Coaches (FBCs) IFA (International Franchise Association)  Sally Facinelli's upcoming book – In progress, focused on franchise leadership and sustainable growth (watch for release)Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

GIMP like it's 1996! Goverlay gets super GPU benchmark powers, Pine64 announces a smart speaker, and Monix is a new driver + mixer for Audient audio interfaces on Linux.Video version of the show is available to Patrons, along with the Extended Chaos podcast featuring over an extra hour of LWDW content every week.⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠Timestamps00:00 Intro01:52 Linux box art 09:35 Running a 30-year old GIMP17:06 New GPU benchmark in Goverlay 28:07 New drivers and GUI for Audient ID interfaces 31:15 Pine Voice home assistant TOPICSGIMP in 1996https://www.omgubuntu.co.uk/2026/06/gimp-1996-flatpakGoverlay Bench https://interfacinglinux.com/community/linuxgaming/testing-goverlays-built-in-pascube-gpu-benchmark/Monix for Audient interfaces https://interfacinglinux.com/community/linuxaudiosofware/monix-control-app-for-audient-id-interfaces/Pine64 Smart Speakerhttps://pine64.org/documentation/PineVoice/

Carmen Li thought it was a joke when a perpetual futures marketplace asked her to become the market maker for her own index. It wasn't. In this segment from Bits + Bips: The Interview, she walks Steven Ehrlich through the requests that alarmed her, a daughter analogy for why trading your own benchmark destroys neutrality, the manipulation risks she sees in crypto's index practices, and why she insists any perp venue on her index be regulated and guardrailed. Host: Steven Ehrlich - Host of Bits + Bips and Head of Research at Sharplink Guest: Carmen Li - CEO of Silicon Data and Compute Exchange This clip is from a longer conversation on GPUs, compute markets, and crypto. Full episode here: https://www.youtube.com/live/rYDiPneJv20?si=fjS7bSd-bJ6c6tYb  We go live every Monday - subscribe to catch it live. Sponsors Cape: Your biggest crypto vulnerability isn't your wallet, it's your phone number. Cape is America's privacy-first mobile carrier that rotates your SIM identity daily and blocks SIM swaps before they happen. Get 33% off your first six months at https://cape.co/unchained (use code: UNCHAINED). Chapters

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Brian Requarth is Founder and General Partner at Latitud — a Silicon Valley-based venture fund and platform that leads pre-seed checks into the top 1% of Latin American founders building global companies. Brian previously co-founded VivaReal, which merged with ZAP Imóveis in 2017 to form Grupo ZAP — later acquired by OLX Brazil for approximately $640M in 2020. Latitud's fellowship has accepted just 1% of 1,500+ annual applicants — harder than the Ivy League — and its 1,000+ alumni have collectively raised over $1B in venture capital. Portfolio companies include Pomelo, StarkBank, and Hyperplane (acquired by Nubank).In this episode, Brian shares why the share of LatAm founders building globally from day one has jumped from 3% to 46% in five years, and what's actually driving the shift. We cover what Founders Fund, Benchmark, Sequoia, Index, and Green Oaks are now underwriting in LatAm — and why the bet is increasingly on the founder profile, not the market, what Brian calls "minus one to zero" investing (versus Thiel's zero-to-one) and why Latitud writes checks before there's even a deck, the ELO-style algorithmic scoring system Latitud built — inspired by chess and tennis ratings — to filter 1,500 applications down to 50, why velocity of learning is the single most important variable he looks for in a founder, and why "if I get to move twice for every one of your moves, I can beat a grandmaster," the anatomy of a great early-stage fundraising round — sharpening the ax, calendar density, signal collection from named angels, and reverse-engineering investor psychology, why "síndrome de vira-lata" (the underdog mindset) is the biggest internal blocker for LatAm founders and how Bay Area exposure rewires it, the new wave of LatAm founders Brian is most excited about — including Mateus at Enter AI, Felipe and Yuri at Camu, and Thais at Taste building taste infrastructure for the AI labs, why Latitud built its entire community on a give-first mentality — starting with 150 Zoom calls during COVID and the $300K Facebook message that once saved VivaReal, why he believes the AI super cycle plus the mindset shift is the most important convergence in LatAm tech right now, and the one piece of advice he would pass to the next generation of Latin American founders.Subscribe to The J Curve Insider newsletter for deeper insights and follow Olga on LinkedIn and Instagram.

When Martino Cadoni joined DeepL, he arrived with an unusual perspective—he already knew the company's product firsthand. Earlier in his career at Klarna, he had helped introduce DeepL as a translation solution, making the transition from customer to CFO especially meaningful. Today, DeepL is backed by investors including HV Capital, Benchmark, Index Ventures, ICONIQ, and Atomico, Cadoni tells us. Working alongside those firms, he says, continually pushes him “out of the comfort zone.”That mindset mirrors the company's trajectory. DeepL supports “almost 50 percent of the Fortune 500 companies,” Cadoni tells us, while continuing to grow and mature for its next stage of development.Rather than viewing language translation as a commodity, Cadoni emphasizes its strategic importance in critical business workflows. Pharmaceutical companies, for example, rely on accurate translation of regulatory documentation before commercializing new drugs, he tells us. Legal firms, airlines, manufacturers, and multinational organizations face similar challenges where translation quality directly affects operational outcomes.Customer adoption reflects those varied use cases. DeepL monitors daily and monthly active users, translated character volumes, language pairs, and traditional financial metrics, Cadoni tells us. He notes that demand often extends well beyond English, highlighting significant activity between Japanese and Korean as well as Portuguese and Spanish.Enterprise relationships frequently begin with a single geography or department before expanding across functions, Cadoni explains. One airline customer, for example, uses DeepL to translate aircraft maintenance documentation before selling planes internationally, illustrating how specialized AI can solve highly practical business problems while supporting global growth.

Paul Erlanger is the Co-Founder and CEO of FOMO, the social-first trading platform building the future of on-chain investing. Since founding the company in 2025, Paul has raised approximately $94 million, including a $17 million Series A led by Benchmark and a $75 million Series B led by Index Ventures with participation from USV, valuing the company at $550 million. Today, FOMO has grown to 600,000 users, processed over $4 billion in trading volume, and is adding thousands of new users every day—all with a team of just 17 people. AGENDA:  00:00 – Building a $550M Company with No Salaries, No Managers & No 1:1s 03:58 – Why Traditional Brokerages Will Lose in the Next 10 Years 09:30 – Why Robinhood's Strategy Is Wrong; The End of the Financial Super App?  13:05 – "Markets Aren't a Casino" — The Case for Retail Investors Fighting Wall Street 16:45 – The Radical Hiring Bet: Giving Employees Founder-Level Equity 23:40 – AI Kills Org Charts: Why FOMO Will Stay Under 25 Employees 29:30 – Why Taste Beats AI & The Biggest Mistake Most Consumer Startups Make 33:10 – The Social Media Playbook That Every Startup Gets Wrong 39:20 – How Benchmark, Index & USV Won the Deal—and the VC Advice Founders Need to Hear 46:10 – The Future of Investing: Social Trading, Creator Economies & Financial Networks  

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Se Yong Park breaks down why FOMO is building the trading app for the rest of us... any chain, any asset, never miss out again, why AI will commoditize content but can never commoditize money and risk, making social the most defensible moat in on-chain finance, and why FOMO raised $75M from Benchmark, Robinhood, and Coinbase without touching a single venture dollar before closing the round.Se Yong Park is Co-Founder of FOMO, a social trading app for on-chain assets built for everyone.The Rollup is where the leaders of digital assets and finance converge. Live from the financial capital of the world.Timestamps00:00 Intro00:41 TradFi To Crypto Journey04:19 Never Early Enough Thesis07:37 Money Can't Be Commoditized09:16 Paper Electronic Blockchain Trading11:10 FOMO Is For Everyone13:23 $500 To $1.7M Story16:11 On-Chain Evolution Explained19:14 Prediction Markets Still Early22:06 Agentic Trading Research Tool27:00 $75M We Didn't Need

President Donald Trump on Wednesday canceled a planned signing of bipartisan legislation aimed at speeding up the construction and availability of more affordable housing. "Today's Housing News Conference and Signing is hereby cancelled until such time as we pass the desperately needed SAVE AMERICA ACT, which I consider to be a National Emergency," Trump said in a post on Truth Social.Brent crude oil has reached its lowest price since the Iran war began. The global benchmark dipped below $76 a barrel early Wednesday. It's still higher than before the conflict started on Feb. 28, but lower than the closing price on any trading day after that. West Texas Intermediate is fluctuating near a similar milestone.

Brian Schnell, Partner and Chair of the Franchise Practice at Faegre Drinker, brings nearly four decades of franchise law, operations, and executive leadership to one of franchising's most persistent tensions: the breakdown between franchisors and franchisees. In this conversation with host Brendon Dennewill, Brian challenges the command-and-control model still used by too many brands and makes the case for a collaborative leadership philosophy rooted in trust, franchisee voice, and unit-level profitability. If you lead or advise a franchise system and want to understand what separates sustainable brands from those that stagnate, this episode is required listening.What You'll LearnWhy franchisee voice matters more than franchisee voteThe first habit of highly successful franchise systemsWhen command and control actually destroys brand equityHow leadership gaps compound as systems scaleWhat most franchise disputes actually start asThe role private equity is beginning to play in franchising's futureWhy data without the human element still leads to bad decisionsResources Mentioned2026 Franchise SummitFaegre Drinker "The Five Habits of the Highly Successful Franchise System"  framework developed by Brian Schnell and Bill Killian"The AI-Driven Leader" by Geoff Woods HubSpot CRM IFA (International Franchise Association)Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

Benchmark electricity prices have fallen, so have you checked your bill, as electricity retailers issue increases.

Benchmark electricity prices have fallen, so have you checked your bill, as electricity retailers issue increases.

Benchmark electricity prices have fallen, so have you checked your bill, as electricity retailers issue increases.

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Well well, what do we have here?   Another episode of the PCPer Podcast for your enjoyment!  Commodore is making phones, Steam Machine is starting to make waves, iGPUs are getting dropped, 12vHPWR is making lightning, a very special segment on pricing of olde, a critical Copilot vulnerability (suprise?), and a Bitlocker Zero Day.  Steam hardware survey, brown cooling, and the infamous Podcast sound board.Relax and take it all in.Timestamps:0:00 Intro1:06 Patreon5:12 Josh fails to deliver a food segment6:31 Steam Machine benchmarked8:06 Zen 6 desktop CPUs may lose iGPU, add NPU11:16 Intel and NVIDIA collaborate on upcoming processor12:51 A trip down memory (and storage) lane18:37 AMD giveth, and AMD taketh away22:19 Noctua NL-LC1 liquid cooler reviewed at TPU26:08 Handheld with Arc G3 Extreme pricing28:22 IQUNIX Ghost in the Shell hall effect keyboards30:24 Commodore Callback34:53 Logitech folding mouse38:40 Another melting 12VHPWR connector story42:02 (In)Security Corner53:44 Gaming Quick Hits1:05:52 Picks of the Week1:16:45 Outro ★ Support this podcast on Patreon ★

Was Jesus a lawbreaker? Did He violate the Sabbath? What exactly was the Sabbath designed for, and how should we observe it? This will be our focus this weekend and next. The conflict between Jesus and the religious leaders is heating up. Today we make four observations about the Sabbath.I. The Sabbath Was a Benchmark (v. 23)II. The Sabbath Became a Burden (vv. 23-24)III. The Sabbath Needs a Balance (vv. 25-26)IV. The Sabbath Should Be a Blessing (v. 27)Learn Your Bible: Read Psalm 37 and meditate on verse 7 as you intentionally choose to “rest in the Lord” this week.Love Your Neighbor: Ask God to soften the hearts of your unbelieving friends and family members, and invite them to join you at Freedom Celebration next Saturday.Live in Freedom: Ask the Lord to reveal areas of your life in which you're anxious and striving rather than resting in His plan and purpose for you.

We break down Bison Benchmark 28 and why two scored runs with short rests turn a “simple” workout into a real test of pacing, recovery, and grit. We also explain how to pick the right level, track your data, and train smart all summer so the retest proves you actually improved.• The format of Benchmark 28 and why two run times matter• How to choose RPE for the first run without ruining the second• Why levels exist and how scaling protects the intended stimulus• Benchmarks as a gauge for progress instead of a leaderboard obsession• How winners are determined by biggest percentage improvement• Intentional warm-ups and skill focus as the fastest path to better scores• Practical pacing using reps per minute and tighter transitions• Barbell complex work and pull-up volume ideas for the retest• A caution on adding extra running and the overtraining trapBe on the lookout for next week's episode.

Escucha martes y viernes la opinión de Jorge Meléndez Ruiz.

Casey Cease, Founder of scalingbusiness.ai, joins host Brendon Dennewill to challenge the most common mistake leaders make when scaling with AI: reaching for tactics before they have a strategy. Drawing on decades of experience across branding, publishing, franchising, and emerging technology, Casey breaks down why operational complexity, people systems, and decision-making clarity must come before any tool deployment. If your team is drowning in subscriptions they don't use, or your franchisees are calling the same repetitive questions, this episode will reframe how you think about AI, automation, and what it actually means to scale.What You'll LearnWhy strategy always comes before toolsThe three components of every AI agentSystems that protect people, not just processesWhen to trust AI with a decision (and when not to)The hidden reason leaders resist necessary changeWhat separates high performers in an AI-enabled teamFranchising's "rule of threes and tens" explainedAI as rocket fuel, not a replacementResources Mentionedscalingbusiness.aiPlanify AgencyLucid BooksStrategic Coach  The E-Myth Revisited by Michael Gerber  Scaling Up / Rockefeller Habits by Verne Harnish Predictable Success by Les McKeown  The Five Dysfunctions of a Team by Patrick Lencioni  The AI-Driven Leader by Geoff Woods  Death by Meeting by Patrick Lencioni  Zapier / Make / n8n  ClickUp / TeamGantt  Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

A supplier discount or individual price point is not the same thing as a market benchmark. In complex enterprise technology deals, a proposal can look competitive on the surface while leaving major cost, commitment, flexibility, and contract risk untouched. Enterprise customers need to understand not only whether the price is competitive, but whether the overall deal will hold up over time. In this 11-minute episode of Staying Connected, Tony Mangino is joined by TC2's Larry York to discuss benchmarking as a strategic capability - not just a pricing exercise. Tony and Larry explore how market intelligence can help enterprise customers evaluate supplier proposals, identify hidden risks, align stakeholders, and negotiate from a position of strength. If you would like to learn more about our experience in this space, please visit our Benchmarking webpage.

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Knowledge Project: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- Bill Gurley spent years on Wall Street, built his career as a partner at Benchmark, worked through Uber's hypergrowth era, and now serves on the board of the Santa Fe Institute, where he studies complexity and systems thinking. In this episode, Bill shares the mental models he returns to most, including systems thinking, second- and third-order effects, and the importance of understanding both the bedrock of your field and the bleeding edge. He explains what separates great founders, why storytelling and product instincts matter, how he uses AI across different models, and what he sees coming in open source, China, stablecoins, tokenization, payments, and venture capital.  ------ Timestamps: (00:00) Key Mental Models (02:02) Investing Journey and Key Players (05:21) Knowing the Bedrock of the Industry (08:50) Obsessive Learning in Founders (10:04) The Silent Edge (11:44) Surprising AI Use (13:13) The Future of AI Models (14:17) Global AI Regulation (18:12) Impacts of AI on Investing (19:53) Are There Limitations on Training AI Models? (23:04) Would You Sit in the Back Seat While Your Tesla Drives? (24:15) Non-Consensus Opinions (24:53) Are We Overfunding this Buildout? (29:40) The Role of Retail Investors and Tokenization (34:26) What is a Stablecoin? (37:58) Competitive Mode: Visa and Mastercard (39:55) AI and Debt Analysis (45:05) The Craft of Storytelling and Writing (48:07) Founder Advantage: Product Instinct (50:12) Real World Lessons from Working With Uber (52:10) Inside Benchmark's Success (59:42) What is Success for You? ------ Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ------ Follow Shane Parrish: X: ⁠⁠⁠⁠⁠⁠https://x.com/shaneparrish⁠ Insta: ⁠https://www.instagram.com/farnamstreet/⁠ LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠ Follow Bill Gurley LinkedIn: https://www.linkedin.com/in/billgurley/ X: https://x.com/bgurley?lang=en Check out Runnin' Down a Dream: How to Thrive in a Career You Actually Love ------ Thank you to the sponsors for this episode: +CoinShares: Delivering Reason to Digital Asset Investing. ⁠https://coinshares.com/⁠ +Granola AI, The AI notepad for people in back-to-back meetings: https://www.granola.ai/shane Check out the Granola Notes +HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Try for free at https://www.heygen.com/ +LMNT: My go-to zero sugar electrolytes — get a free LMNT Sample Pack here: DrinkLMNT.com/TKP Learn more about your ad choices. Visit megaphone.fm/adchoices

Escucha martes y viernes la opinión de Jorge A. Meléndez.

The European Central Bank has announced its first interest rate increase in almost three years, raising its benchmark rate as it seeks to tackle rising inflation across the eurozone.     The move comes amid growing concerns over the impact of the conflict in the Middle East on global energy prices and the wider economy, and it's a decision that will have real consequences for mortgage holders, savers and households already facing cost-of-living pressures.    To help us understand what this latest ECB decision means for Ireland, and what could lie ahead for borrowers and the wider economy, Alan Morrissey was joined by Ennis native and Assistant Professor of Social Policy at University College Dublin, Micheál Collins. Image (c) claudiodivizia via Canva

Michael Iannuzzi, Partner and Franchise Practice Leader at Citrin Cooperman, joins host Brendon Dennewill to unpack the financial and operational fault lines that quietly derail growing franchise systems. From the tension between top-line and bottom-line incentives to the infamous "100-unit ceiling," Michael brings a practitioner's lens to unit economics, royalty self-sufficiency, and the decisions leaders delay until it's too late. If you're scaling a franchise brand and wondering when to rebuild your systems, hire your next leader, or fire yourself from your current role, this episode delivers the framework.What You'll LearnWhy franchisors and franchisees have competing financial interestsThe metric that signals when real growth beginsWhat the "100-unit ceiling" looks like in practiceWhen to fire yourself as a founderHow to build a tech stack from day oneWhat private equity actually looks for in a franchise systemThe rule of threes and tens in franchise growthResources MentionedIFA (International Franchise Association)Restaurant Leadership Conference  Franchise and Fitness Conference (Chicago) Citrin Cooperman Franchise Practice QuickBooks / XERO  FDD (Franchise Disclosure Document) Franchisee Advisory Council (FAC) The Rule of Threes and Tens - Growth framework referenced by CEO of Rakuten Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

Bill Gurley spent years on Wall Street, built his career as a partner at Benchmark, worked through Uber's hypergrowth era, and now serves on the board of the Santa Fe Institute, where he studies complexity and systems thinking. In this episode, Bill shares the mental models he returns to most, including systems thinking, second- and third-order effects, and the importance of understanding both the bedrock of your field and the bleeding edge. He explains what separates great founders, why storytelling and product instincts matter, how he uses AI across different models, and what he sees coming in open source, China, stablecoins, tokenization, payments, and venture capital.  ------ Timestamps: (00:00) Key Mental Models (02:02) Investing Journey and Key Players (05:21) Knowing the Bedrock of the Industry (08:50) Obsessive Learning in Founders (10:04) The Silent Edge (11:44) Surprising AI Use (13:13) The Future of AI Models (14:17) Global AI Regulation (18:12) Impacts of AI on Investing (19:53) Are There Limitations on Training AI Models? (23:04) Would You Sit in the Back Seat While Your Tesla Drives? (24:15) Non-Consensus Opinions (24:53) Are We Overfunding this Buildout? (29:40) The Role of Retail Investors and Tokenization (34:26) What is a Stablecoin? (37:58) Competitive Mode: Visa and Mastercard (39:55) AI and Debt Analysis (45:05) The Craft of Storytelling and Writing (48:07) Founder Advantage: Product Instinct (50:12) Real World Lessons from Working With Uber (52:10) Inside Benchmark's Success (59:42) What is Success for You? ------ Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it's completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ------ Follow Shane Parrish: X: ⁠⁠⁠⁠⁠⁠https://x.com/shaneparrish⁠ Insta: ⁠https://www.instagram.com/farnamstreet/⁠ LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠ Follow Bill Gurley LinkedIn: https://www.linkedin.com/in/billgurley/ X: https://x.com/bgurley?lang=en Check out Runnin' Down a Dream: How to Thrive in a Career You Actually Love ------ Thank you to the sponsors for this episode: +CoinShares: Delivering Reason to Digital Asset Investing. ⁠https://coinshares.com/⁠ +Granola AI, The AI notepad for people in back-to-back meetings: https://www.granola.ai/shane Check out the Granola Notes +HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Try for free at https://www.heygen.com/ +LMNT: My go-to zero sugar electrolytes — get a free LMNT Sample Pack here: DrinkLMNT.com/TKP Learn more about your ad choices. Visit megaphone.fm/adchoices

What a pleasure to learn from one of the best in our industry! Gregor Murray joined Scotty O at the Salsify Digital Shelf Summit in Atlanta in May. What an eye opening conversation from the Chief "So What" Officer for Digital Commerce Global! We talked through his presentation at DSS and of the BENCHMARK system that they have created and how the big US companies are doing? The Always Off Brand is always a Laugh & Learn!    FEEDSPOT TOP 10 Retail Podcast! https://podcast.feedspot.com/retail_podcasts/?feedid=5770554&_src=f2_featured_email   GUEST: Gregor Murray  LinkedIn: https://www.linkedin.com/in/gregormurray/ Website: https://www.dcg.ai/ QUICKFIRE Info:   Website: https://www.quickfirenow.com/ Email the Show: info@quickfirenow.com  Talk to us on Social: Facebook: https://www.facebook.com/quickfireproductions Instagram: https://www.instagram.com/quickfire__/ TikTok: https://www.tiktok.com/@quickfiremarketing LinkedIn : https://www.linkedin.com/company/quickfire-productions-llc/about/ Sports podcast Scott has been doing since 2017, Scott & Tim Sports Show part of Somethin About Nothin:  https://podcasts.apple.com/us/podcast/somethin-about-nothin/id1306950451 HOSTS: Summer Jubelirer has been in digital commerce and marketing for over 17 years. After spending many years working for digital and ecommerce agencies working with multi-million dollar brands and running teams of Account Managers, she is now the Amazon Manager at OLLY PBC.   LinkedIn https://www.linkedin.com/in/summerjubelirer/   Scott Ohsman has been working with brands for over 30 years in retail, online and has launched over 200 brands on Amazon. Mr. Ohsman has been managing brands on Amazon for 19yrs. Owning his own sales and marketing agency in the Pacific NW, is now VP of Digital Commerce for Quickfire LLC. Producer and Co-Host for the top 5 retail podcast, Always Off Brand. He also produces the Brain Driven Brands Podcast featuring leading Consumer Behaviorist Sarah Levinger. Scott has been a featured speaker at national trade shows and has developed distribution strategies for many top brands. LinkedIn https://www.linkedin.com/in/scott-ohsman-861196a6/   Hayley Brucker has been working in retail and with Amazon for years. Hayley has extensive experience in digital advertising, both seller and vendor central on Amazon. Hayley lives in North Carolina.  LinkedIn -https://www.linkedin.com/in/hayley-brucker-1945bb229/   Huge thanks to Cytrus our show theme music "Office Party" available wherever you get your music. Check them out here: Facebook https://www.facebook.com/cytrusmusic Instagram https://www.instagram.com/cytrusmusic/ Twitter https://twitter.com/cytrusmusic SPOTIFY: https://open.spotify.com/artist/6VrNLN6Thj1iUMsiL4Yt5q?si=MeRsjqYfQiafl0f021kHwg APPLE MUSIC https://music.apple.com/us/artist/cytrus/1462321449   "Always Off Brand" is part of the Quickfire Podcast Network and produced by Quickfire LLC.  

Escucha martes y viernes la opinión de Jorge A. Meléndez.

Jacob Lauritzen serves as the CTO at Legora, the fastest growing B2B enterprise company in history; hitting $100 million in ARR in just 18 months . Legora boasts a valuation of $5.6BN and has raised a total of $866 million in funding. Legora's investors include the likes of Accel, Benchmark, and Bessemer Venture Partners, alongside strategic tech giants NVIDIA (NVentures) and Salesforce Ventures. AGENDA:  05:01 - How to Hire the Best Product Talent in 2026 06:21 - The New Product Bottleneck: Shifting Beyond Code Creation 09:24 - System Design vs. Code Creation: The Future Role of the Engineer 14:04 - The Evolving Software Development Lifecycle & The Death of the Design Phase 22:23 - Will Product and Engineering Fully Converge? 29:16 - Scalability and UX: Designing for 10x vs. 100x Spikes 38:15 - Scaling the Organization: What Breaks with a 250 Person Product Team 47:05 - Quick-Fire Round: Hyper-Growth Tactics & Out-Working the Giants  

Escucha martes y viernes la opinión de Jorge A. Meléndez.

In honour of BENCHMARK FITNESS' 7th anniversary, I am re-sharing one of my favourite episodes to date, where Matt and I  share how we turned our dream of owning a gym into the thriving community that is Benchmark Fitness. We talk about the challenges we faced, like buying the gym just before the pandemic and navigating lockdowns, to how our passion for creating a space where people feel seen and supported kept us moving forward.We reflect on how having a clear vision helped us push through the toughest times. From rebranding the gym to creating a holistic wellness club with options like red light therapy, cold plunges, and member socials, every decision was made to better serve our community. We also share the sacrifices and strategic investments it took to turn our vision into reality, and why building genuine relationships was at the heart of it all.Tune in to hear more about:How having a clear vision can guide you through even the toughest challenges.The importance of investing in your community and creating a space where people feel truly connected.Why resilience and the ability to pivot are crucial for any business owner.The impact of reimagining what a gym could be by integrating wellness, recovery, and community events.How making sacrifices and strategic investments can accelerate growth.If you've got a dream that feels out of reach, I hope this inspires you to keep going! If you felt encouraged by this episode, it would mean the world to me if you could share this with a friend and leave a review or rating! Stay tuned for new episodes weekly & connect with use on socials @AlliArruda and @Matt_Arruda Interested in joining our BENCHMARK Community? Come book a tour here, we would love to have you!Get on the Mentor Collective Mastermind waitlist:https://chrisharder.me/mentor Let's Connect!• INSPIRE + MOVE EVENTS• Instagram• Private Coaching• Website• Facebook• TikTok

As operating expenses rise, dental practices must keenly understand their financial standing. A guest joins this episode to discuss strategic planning around patient cost consciousness and staff salary trends from the new How Does Your Practice Compare? Report. Tune in to learn how leveraging data based on practice size and specialty can help practices identify growth opportunities.    LINKS How Does Your Practice Compare? Report Podcast Video cainwatters.com Submit a Question Facebook | YouTube | Instagram

Are you ready for the New Standard? Show Notes: Run Time: 1:25:36 We're back at it, and oh so happy to be here! After last week's long-awaited return to voting, we're excited to announce an upcoming schedule! For the first time in over a year!  Tuesday, June 2nd: Episode #319 - Writers' Room: A non-Vengeance Friction story Tuesday, June 9th: Episode #320 - Writers' Room: Cosmic Tales: An intense space opera story Tuesday, June 16th: Episode #321 - Writers' Room: The Rise of the Sixth Sun Tuesday, June 23rd: Editor's Note #90 Tuesday, June 30th: Episode #322 - Writers' Room: Rambler calling in a debt pulls a character out of a different fight A thrilling June to look forward to! Then, we get right to it, and the Benchmark stories unfold quickly and relatively smoothly. We have some ideas of what happens (or at least where it goes) in advance, but we discover and create a lot on the air, as well! We very happy to be back in the swing of things. Join us next week for Episode #319, which is a Friction story that's not part of the Vengeance event! Get your questions in here! And don't forget to check out our Patreon!