Podcasts about 10m

Two years ago, Brian Luebben was doing $750K a year. Now he's posting million-dollar months. In this conversation, we break down what actually changed. It wasn't a new tactic or growth hack. It was a shift in how he thinks about goals. That might sound a little woo-woo, but Brian explains why most entrepreneurs unknowingly limit their own growth, and outlines how a single shift in your thinking could completely alter the trajectory of your business.  Not only does this conversation challenge how you think about growth, it also unpacks the operational decisions he made that supported the jump from sub-seven figures to a true eight-figure business.    Key Takeaways with Brian Luebben 00:00 From $750K to $10M in 3 Years 04:34 The 3 People You Need to Be Around 09:55 Cashflow Investing vs Equity Investing 14:20 2 Frameworks from a $250M Mentor 17:45 Alex Hormozi Discipline 20:27 Long-Form Content To Scale Impact 22:51 How Career Capital Translates to Entrepreneurship 26:56 The Hires That Led to Million Dollar Months 32:00 Course Creation vs. Community Building 39:22 Expectations Matter More Than Price 44:52 Buy Businesses Then Learn To Run Them 49:53 Holding On Too Long Gets Expensive 56:33 Passive Income Is Mostly A Lie 59:18 Earn Your Summer 01:04:29 The Two Week Vacation Test       Watch on YouTube:      Let's Connect: Website | Instagram | YouTube | TikTok | Twitter | Facebook

On this episode of CIO Classified, host Yousuf Khan sits down with Ravi Thadani, Global Head of IT at Enphase Energy, a company powering over 5 million homes across 160 countries with clean, solar-driven energy. With 85 million microinverters producing 30 gigawatts of power, Ravi's team is at the epicenter of a massive, real-time data operation—and every IT decision directly impacts the customer experience.About Ravi: Ravi Thadani is a seasoned IT executive with extensive experience leading large-scale digital transformations across Fortune 500 companies. He has driven strategic initiatives across ERP, CRM, PLM, HCM, SCM, analytics, AI/ML, network architecture, cloud infrastructure, and M&A integration. With oversight of multi-$10M budgets and teams of over 300, Ravi has supported business units ranging from $2B to $70B in revenue.Known for his strategic vision and execution, Ravi is recognized for fostering cross-functional alignment, driving agile transformation, and cultivating high-performing teams. His leadership approach is grounded in strong business partnerships, stakeholder governance, innovation, and a relentless focus on outcomes.Timestamps:01:50 – Enphase Energy's Global Operations03:40 – Ravi's Role and Responsibilities06:00 – Managing Customer Data and CRM16:45 – Driving Change as a CIO19:50 – The Role of Data in AI20:55 – The Importance of Data Cleaning21:20 – Effective Data Governance Strategies23:45 – Architecting for Scalability27:30 – Challenges in Hardware and Software IntegrationGuest Highlights:"AI isn't replacing you—people using AI are. The adoption curve is about enabling people to do more, not just reducing headcount.""The biggest failure point in IT projects? Treating them like IT projects. Every transformation has to be owned by the business.""Your architecture should always assume 10x growth. Even if you're not scaling today, you need a conscious plan for when you do."Get Connected:Yousuf Kahn on LinkedInRavi Thadani on LinkedInHungry for more tech talk? Check out latest episodes at ciopod.com: Ep 65 - Accelerating Software Development at Enterprise ScaleEp 64 - How Autonomous AI is Solving the Enterprise Modernization ChallengeEp 63 - How AI is Expanding the CIO RoleLearn more about Caspian Studios: caspianstudios.comOur Sponsor: Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases.While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency.With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days.It's the secret weapon for Fortune 500 companies globally. To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

3 Manufacturing Red Flags That Can Destroy Your Apparel Brand If your manufacturer's quote feels too cheap or the turnaround time sounds unrealistically fast, this episode could save you tens of thousands of dollars. In this episode of the Business of Apparel Podcast, Rachel breaks down three critical manufacturing red flags every apparel brand owner must know before signing with a factory. These are the costly mistakes that quietly kill margins, compromise quality, and leave founders with zero leverage when production goes wrong. You'll learn how professional factories actually operate, why "perfect samples" don't guarantee perfect production, and how to protect yourself with the right agreements, tech packs, and ownership structures, before it's too late. Sign up for the Secrets Behind Billion Dollar Apparel Brands Masterclass here: https://www.thebusinessofapparel.com/secrets Join The Board here: https://www.thebusinessofapparel.com Key Moments: 00:23 Understanding Manufacturing and Production Red Flags 01:54 The Importance of a Golden Sample 04:24 Protecting Yourself with Vendor Agreements 09:00 Owning Your Tech Pack and Patterns 12:41 Evaluating Manufacturer Transparency 18:06 Conclusion and Invitation to Join the Board 19:53 Final Thoughts and Contact Information   Watch more of The Business of Apparel Podcast episodes: Wholesale 101: https://youtu.be/lpezH1YwCyE Use AI in Your Apparel Brand: https://youtu.be/Dn9tjPNmfaw  Grow A 7-Figure Apparel Business: https://youtu.be/rpQYDyo5Rao We can't wait to hear what you think of this episode! Purchase the Business of Apparel Online Course: https://www.thebusinessofapparel.com/course ABOUT RACHEL: Rachel Erickson—Fractional COO, Apparel Industry Consultant, and founder of Unmarked Street and The Business of Apparel. With 20+ years in technical design and product development leadership, I've sat at the executive table of a $25M apparel line and helped scale it to $60M in one year. After decades working inside major fashion companies, I learned the truth behind billion-dollar brands, and it's not about chasing trends or pumping out endless products. It's about building clean processes, tightly edited assortments, and obsessively focused customer targeting. I help founders and CEOs of performance apparel brands: ✅ Build lean, profitable product lines ✅ Streamline operations for growth ✅ Replace overwhelm with executive clarity ✅ Create garments that fit bodies in motion   Whether you're just hitting $1M in revenue or trying to break through the $10M ceiling, my team joins you as an embedded operations and product partner—running fittings, line plans, tech packs, and vendor communications so you can get back to leading.   To connect with Rachel, you can join her LinkedIn community here: LinkedIn. To visit her website, go to: www.unmarkedstreet.com.   

Wall Street Journal bestselling author Steve Anderson reveals how Jeff Bezos transformed calculated risk-taking into Amazon's competitive advantage by analyzing 20+ years of shareholder letters. Struggling to scale without losing your entrepreneurial edge? This episode exposes the counterintuitive growth frameworks that separate billion-dollar companies from businesses stuck in stasis. You'll learn: how "successful failure" accelerates innovation while reducing actual business risk, the two-way door decision framework that eliminates bureaucratic bottlenecks, why customer obsession (not customer service) creates self-sustaining growth flywheels, and the six-page memo technique that replaces risky gut decisions with strategic velocity. Steve breaks down Amazon's four growth cycles—test, build, accelerate, scale—into actionable frameworks for entrepreneurs building $100K to $10M+ businesses. Perfect for established business owners (2-10 years operation) who've reached the dangerous plateau where playing it safe becomes the riskiest strategy. Steve shares how insurance industry consultants can apply billion-dollar principles without billion-dollar resources, including the "day one mindset" that prevents the painful decline toward irrelevance. This episode connects directly to sustainable business growth strategies, strategic risk management frameworks, and innovation-driven enterprise building. Whether you're automating operations, building authority platforms, or scaling service businesses, these proven principles show how protection and aggressive growth work together—not against each other. Free gift: Download Steve's complete book plus access his AI chatbot trained on all Bezos letters at thebezoletters.com

Silver, Gold and Crypto (oh my) Hang on – Wild ride here Superbowl, Olympics- Wait until you hear about the CAPex spending! Shakeup in Dietville PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Interactive Brokers  Warm-Up - Silver, Gold and Crypto (oh my) - Need a stock for CTP - Hang on - Wild ride here - Superbowl, Olympics- Wait until you hear about the CAPex spending! - Shakeup in Dietville Markets - Massive moved during the week - - Bitcoin clipped $60k before rebounding - DJIA tops 50,000 for the first time - Wait until you hear about the CAPex spending! - CAT == 1,100 points on the DJIA in 2026 Superbowl and Superbowl ads - Game review - Any ad stick out? - $10M per ad this year - Half Time with Bad Bunny? - Anthropic busting on OpenAi Last Week! - Massive moved - quick calc showed that about $1T was wiped from market caps in the sell-off, particularly in tech names. - HOWEVER - Friday alone is estimated to have added $1.5T to market cap AI Ripping Through - Plenty of names getting cooked over AI announcements - First it was the software companies - Now there are names in legal and finance that got clocked - Today - Altruist.ai can do tax planning and that hurt companies in financial space Earnings Season Update - Reporting so far: 59% of S&P 500 companies have reported Q4 2025 results. - Beat rate: 76% have topped EPS estimates (vs. 5-yr average: 78% (slightly lower) vs. 10-yr average: 76% (in line) - Magnitude of beats (aggregate): earnings are 7.6% above estimates vs. 5-yr average: 7.7% (about the same) vs. 10-yr average: 7.0% (a bit better) - Nothing great,  like Goldilocks Earnings Highlights - Palantir (PLTR): Reported strong Q4 results early in the week , beating estimates with revenue ~$1.41B (vs. ~$1.33B expected) and EPS $0.25 (vs. $0.23). Guidance for 2026 was upbeat (~61% revenue growth). Shares rallied sharply initially (~7–11% post-earnings), but gave back some gains amid broader tech volatility (e.g., down ~11–22% in parts of the week from peaks). - AMD: Reported mid-week, beating EPS (~$1.53 vs. lower expectations) with solid data center growth (~39%). However, Q1 guidance disappointed relative to high expectations in the AI chip space. Shares sank dramatically — down ~15–17% the next day, with some reports noting up to 20%+ drops at points, contributing to broader chip sector pressure. - Alphabet (GOOGL/GOOG): Reported beating on revenue (~$113.8B) and EPS (~$2.82), with strong core performance. But capex guidance for 2026 ($175–$185B, roughly double prior levels) sparked AI spending worries. Shares dipped post-earnings (down ~0.5–5% initially, flat to lower the next day, with some volatility pulling it below key moving averages). - Amazon (AMZN): Reported after hours on February 5, with mixed results — EPS ~$1.95 (narrow miss vs. ~$1.97 expected), but solid overall. The big negative was a surprise $200B capex forecast for 2026 (well above expectations), tied to AI/cloud buildout. Shares plunged sharply — down ~7–10% in after-hours/extended trading, with Friday moves around -5–8% in some sessions. Recent Tech CAPEX announcements - Amazon (AMZN) — Guided to approximately $200 billion in capex for 2026 (a massive jump from ~$125–131 billion in 2025, with ~80% likely AI-related per analyst commentary). This was the largest single-company figure and a major surprise, contributing heavily to the week's "wild" reactions. - Alphabet (GOOGL/GOOG) — Guided to $175–185 billion in capex for 2026 (roughly double the $91 billion spent in 2025, far above analyst expectations of ~$115–119 billion). Emphasis was on AI compute capacity, servers, data centers, and networking to meet demand for Gemini and cloud services. - Meta Platforms (META) — Guidance from late January (but heavily discussed last week): $115–135 billion for 2026 (up significantly from ~$70–72 billion in 2025, potentially an ~87% increase). - Microsoft (MSFT) — No new full explicit 2026 guidance in early February (fiscal year runs July–June), but recent quarterly run-rate and analyst projections put it around $97–145 billion (with some sources citing ~$105 billion or higher based on Q2 spending trends and signals of continued growth from prior levels of ~$88 billion in FY2025). ------!!!!Combined 2026 capex projected at $635–665 billion (low/high ends) or up to $650–700 billion in some reports — a ~60–74% increase from their collective ~$381 billion in 2025. Market Reaction from all of this.... - Markets were a bit spooked on the Anthropic announcement earlier in the week - software sold off and set a sour mood - Microsoft dumped pretty hard as the amount of spend was higher than anticipated, especially with some slower growth in Azure. - Amazon took a beating on the increased spend they anticipate *(extra by $50B) - BUT: Friday markets rallied as there was realization that the $200B spend by Amazon would seep into the economy and fuel infrastructure spending along with chips, tech etc. Other Earnings of Interest -  Reddit reported fourth-quarter earnings on Thursday in which the social media company beat on the top and bottom lines. - The company said it expects first-quarter sales to come in the range of $595 million to $605 million, which is higher than Wall Street expectations of $577 million. - Reddit also announced a $1 billion share repurchase program. - Reddit gets about $250 million a year from OpenAi and Google to have your data for training their LLMs While we are on the subject - Friday, DJIA hit 50,000 - first time ever! - Up 1,200 point of which approx 350 was from caterpillar and 280 was from Goldman Sachs Hats off to WalMart - Walmart Inc. shares pushed its market capitalization past $1 trillion on Tuesday for the first time ever| - Big transformation over the pst year - Walmart has maintained its appeal to households looking for value, its online offerings are drawing new, wealthier shoppers seeking convenience. Google Bond Offering - Issuing several tranches of bonds, denominated in Stirling - one as long as 100 years - Would you buy that? - The Google parent is set to raise $20 billion from a US dollar bond offering on Monday — more than the $15 billion initially expected — and is also pitching investors on what would be its first ever offerings in Switzerland and the UK. - The latter would include a rare sale of 100-year bonds, the first time a tech company has tried such an offering since the dotcom frenzy of the late 1990s Fat Profits in Dietville - Really interesting sequence of events happening... - Hims launches compounded pill at prices as low as $49 per month - Analysts cite questions on efficacy, legality of pill - Hims' move shifts focus from Novo's strong Wegovy pill launch - Broader obesity market whipsawed as pricing pressure rises THEN.. - Hims and Hers Health shares dive 14% after hours on Friday (Down 25% on Monday) - FDA cites concerns over quality, safety, federal law - The U.S. Food and Drug Administration said on Friday it would take action against telehealth provider Hims & Hers, for its $49 weight-loss pill, including restricting access to the drug's ingredients and referring the company to the Department of Justice for potential violations of federal law. AND.... - Eli Lilly last Wednesday posted fourth-quarter earnings and revenue and 2026 guidance that blew past estimates, as demand for its blockbuster weight loss drug Zepbound and diabetes treatment Mounjaro soars. - The pharmaceutical giant anticipates its 2026 revenue will come in between $80 billion and $83 billion. Analysts expected revenue of $77.62 billion, according to LSEG. - Meanwhile, NOVO had a really bad outlook that took the shares down 13% after the report. Japan Markets Soar - Japanese stocks jumped to a record high Monday, leading gains in the region after Prime Minister Sanae Takaichi won a landmark election victory. - The ruling Liberal Democratic Party captured a two-thirds supermajority in the 465-seat lower house, public broadcaster NHK reported. - Japan's Nikkei 225 jumped past 57,000 for the first time before paring gains to close 3.9% higher at 56,363.94, while the Topix also notched a record high, closing at 3,783.94, up 2.3%. Employment Report? - Government shutdown is forcing them to postpone again (Which is dumb) - Number due this Wednesday - Maybe because of this:U.S. employers announced 108,435 layoffs for the month, up 118% from the same period a year ago and 205% from December 2025. The total marked the highest for any January since 2009. - At the same time, companies announced just 5,306 new hires, also the lowest January since 2009, which is when Challenger, Gray & Christmas began tracking such data. - Also, job openings fell sharply in December to 6.54 million, to their lowest since September 2020. - Available jobs are down by more than 900,000 just since October. - NO! Ai and advancements in tech have noting to do with this! NO NO NO M&A - Texas Instruments Inc. has reached an agreement to buy Silicon Laboratories Inc. for about $7.5 billion, deepening its exposure to several markets for chips. - Silicon Labs investors will receive $231 in cash for each share of the company's common stock and the transaction is expected to close in the first half of 2027. - The transaction still needs to win approval by investors in Silicon Labs and shares of Silicon Labs surged by 51% to $206.48 after the announcement. Inflation - This helps - PepsiCo (PEP.O), opens new tab will cut prices on core brands such as Lay's and Doritos by up to 15% following a consumer backlash against several previous price hikes, the snacks and beverage maker said on Tuesday after it topped fourth-quarter results. Miran - Moving - Federal Reserve Governor Stephen Miran is leaving his post as chair of the Council of Economic Advisers, CNBC has confirmed. - He joined the CEA in January 2025, but had been on leave from that post since last September when he filled the unexpired term of former Fed Governor Adriana Kugler.- He reamins on Fed board No Biggie???? - There are some astonishing cased being reported of Bad AI in the operating room - JNJ's TruDi Navigation System - Since AI was added to the device, the FDA has received unconfirmed reports of at least 100 malfunctions and adverse events. - At least 10 people were injured between late 2021 and November 2025, according to the reports. Most allegedly involved errors in which the TruDi Navigation System misinformed surgeons about the location of their instruments while they were using them inside patients' heads during operations. - Cerebrospinal fluid reportedly leaked from one patient's nose. In another reported case, a surgeon mistakenly punctured the base of a patient's skull. In two other cases, patients each allegedly suffered strokes after a major artery was accidentally injured. Cuba - The main airport has putt out a bulletin that they are out of Jet Fuel - Blackouts and lack of other fuels are creating big problems - No airlines have stopped running at this point, but many will as they cannot refuel - This is a bigger problem for cargo planes (supplies) that may not be able to risk flying to Cuba as they will not be able to get out. Love the Show? Then how about a Donation? ANNOUNCING THE WINNER OF THE THE CLOSEST TO THE PIN CUP 2025 Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Woody Klemetson scaled sales from 100 people at Divi to 350 at Bill.com post-acquisition, then walked away to build something harder: infrastructure for hybrid AI-human revenue teams. At AskElephant, he's tackling the problem that every revenue leader faces but few can articulate—how to actually implement AI in revenue operations when your systems weren't built for it. With zero marketing spend, AskElephant hit 400% growth through pure referral motion and converts 85% of pilots to production (versus single digits industry-wide). Woody breaks down why most "AI-ready" companies aren't, how to structure pilots that actually ship, and what it takes to hire sellers who orchestrate agents instead of relying on armies of support staff. Topics Discussed: Post-acquisition culture collision: the cost of moving too fast versus too slow Why "AI readiness" is usually one person at a company, not the organization  The 27-agent CRM system that delivers 5% forecast accuracy without human input  Revenue outcome systems as category evolution: solving for predictability across disconnected tools  Pilot-first GTM that converts at 85% by starting with one-minute-per-day wins  Partner-led distribution through consultants evolving from slideware to implementation  Hiring ops-minded sellers who code: over half of non-engineers using Cursor daily  The PLG expansion coming in 2025 and why traditional demand gen is getting tested alongside door-to-door GTM Lessons For B2B Founders: Culture integration requires explicit deceleration early: Woody's team assumed Bill.com wanted their aggressive startup velocity immediately post-acquisition. They didn't slow down to map cultural differences, causing "whiplash" across 350 people. The specific mistake: not creating space to understand Bill's processes before challenging them. Even when acquired for your approach, the first 90 days should be listening and mapping, not executing. Only after understanding their system can you effectively challenge and merge cultures. This applies whether you're acquiring or being acquired—the cultural work is non-negotiable and front-loaded. Diagnose AI readiness by system documentation, not enthusiasm: Most companies think they're AI-ready because leadership wants AI. Reality check: if your teams haven't documented their systems and processes, AI has nothing to learn from. AskElephant starts some customers with basic dictation—not because it's revolutionary, but because it's the prerequisite to anything meaningful. The diagnostic question: "Walk us through your current customer journey." If the answer is "we have sales stages," you're not ready for automation. You need documented systems before AI can execute them. Start by having AI observe and document before it acts. Build agents incrementally to compound context: AskElephant runs 27 different CRM agents that collectively deliver 5% forecast accuracy. This wasn't built in one sprint—it took 40 hours of training and context-building. Each agent handles a specific job: contact creation, data enrichment, ICP scoring, churn monitoring, stage updates. The misconception founders have: AI should work perfectly from the first prompt. The reality: you build agents brick by brick, each one learning from the previous context layer. This is why their forecasting works—because 27 agents watching different signals together create accuracy that one "smart" agent can't. Pilot conversion at scale requires deliberately small scope: Single-digit pilot-to-production rates happen because teams scope too big. AskElephant's 85% conversion comes from "dream big, implement small." First pilot: automated CRM notes. Then: notes humans wish they'd written. Then: automated field updates. Each step saves minutes, builds trust, proves value. Woody's framework: if you're not saving one minute per person per day in your first pilot, you've scoped wrong. The goal isn't to wow with ambition—it's to ship something that works perfectly, then expand from proven trust. Their customers average 27 hours saved per week per person, but none started there. Revenue outcome systems emerge from tool sprawl failure: Every revenue leader uses 15-20 disconnected tools trying to make revenue predictable. The category insight isn't "operating systems"—it's that companies care about outcomes, not operations. AskElephant's positioning: we focus on the outcome (predictable revenue), not just the operating infrastructure. This distinction matters because it shifts the conversation from technical plumbing to business results. When creating categories, find the frame that makes the buyer's problem visceral and your solution inevitable, even if you're solving similar problems as others in the space. Partner-led GTM turns consultants into distribution: AskElephant's entire growth came through partners: Salesforce/HubSpot consultants becoming AI strategists, sales coaches extending from training to implementation. The unlock: these partners needed a way to deliver lasting value beyond slideware. Previously, a coach would train your team and leave. Now they implement AI systems that hold teams accountable to the training, creating longer engagements and better outcomes. For founders: identify services providers whose business model gets dramatically better by incorporating your product. They become your sales force because you make them more valuable to their clients. Hire for orchestration capability, not pure sales skill: Over half of AskElephant's non-engineering team uses Cursor daily. Woody hires "ops-minded" and "tech-minded" sellers who can manage AI agents alongside human work. The old model: silver-tongued seller + solutions engineer + 27 support people. The new model: one seller orchestrating 27 AI agents. These reps don't build lists, don't create SOWs, don't write product scopes, don't need SEs for demos. But they still need human connection skills—listening, curiosity, presence. The hiring filter: can this person think in systems and implement technical solutions while maintaining high-touch relationships? If they can't code enough to orchestrate agents, they can't scale in this environment. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Identity fraud spiked 148% in 2025 as AI democratized identity fabrication. Financial institutions now face a fundamental question: Are you dealing with a real human? Heka Global is addressing this with web intelligence—analyzing digital footprints like connected applications rather than traditional signals. In this episode of BUILDERS, I sat down with Idan Bar Dov, Co-Founder & CEO of Heka Global, to explore how his company created a fourth layer in the anti-fraud stack and why legacy identity verification systems are becoming liabilities rather than assets. Topics Discussed:  The emergence of "fraud as a service" and why consumer-facing attacks replaced traditional enterprise breaches  How web intelligence works: validating identity through connected applications and digital footprints  The anti-fraud tech stack: credit bureaus, biometrics, transaction analytics, and web intelligence as distinct layers  Why heads of fraud expand budgets rather than replace vendors, and what causes solutions to get kicked out  The partnership sales model: navigating vendor management complexity and red tape in financial institutions  Why 10-person dinners and fraud simulations outperform traditional enterprise marketing  How Barclays and Cornerback backing solved the chicken-and-egg problem for a data product  Why specific fraud prevention messaging (account takeover, synthetic identities) beat investor credibility GTM Lessons For B2B Founders: Target ICP based on liability exposure, not just industry fit: Heka narrowed beyond "financial institutions" to lenders who bear immediate losses from fraud—companies like LendingPoint, Avant, and Upstart. These buyers feel the pain acutely versus institutions with reimbursement terms who can deflect liability. Idan's insight: "We need the client to feel the pain just as much as we see it. That means we want them to see the liability." Map your ICP not just by vertical or size, but by who internalizes the economic impact of the problem you solve. Frame your product as a new stack layer, not a competitive replacement: Heka positioned web intelligence as the fourth distinct layer after credit bureaus, biometrics, and transaction analytics. This became their second pitch deck slide, showing logos of each category. The result: buyers stopped comparing Heka to existing vendors and started evaluating complementary value. When entering mature markets, resist the urge to claim you're "better than X"—instead, define where you fit in the existing architecture and why that layer didn't exist before. Abandon spray-and-pray for sub-1,000 TAM markets: Heka tested Lemlist flows with targeted LLM personalization and saw zero pipeline from it. Idan's take: "When you're selling to maybe a thousand financial institutions, that's it. You can be super specific when you target them." For enterprise plays with small addressable markets, allocate zero budget to automated outbound. Focus entirely on warm introductions, relationship nurturing, and becoming known to every relevant buyer through content and community. Leverage investor networks to break data product cold-starts: Data products face a critical barrier—you need customer data to prove value, but need proven value to get customers. Heka solved this by bringing on Barclays and Cornerback as investors who vouched for the team's capability to "do magic and create a new layer." Their backing convinced risk-averse financial institutions to pilot. If building a product requiring customer data for training or validation, prioritize strategic investors who can credibly de-risk early adoption for target buyers. Build trust through teaching, not pitching: Heka hosts dinners and fraud incident simulations with ~10 heads of fraud per session. Critical detail: they never pitch Heka in these forums. Idan explained the approach focuses on "building a community around Heka and how people engage with your product and you being a thought leader while listening." In high-trust categories, educational forums where you facilitate peer learning without selling create stronger pipeline than direct pitching. Structure partnerships with active enablement and incentive alignment: Idan's key lesson: "Partnerships are not synonymous to distribution channels." Heka requires partner sales teams to join early customer conversations to learn the pitch, provides detailed API and output training, and ensures partners get extra compensation for selling non-core products. Without this, partners lack motivation to prioritize your solution. Structure partnerships as true collaborations requiring ongoing enablement investment, not passive referral channels. A/B test credibility signals versus technical specificity: Idan assumed messaging around Barclays backing would crush, while specific fraud prevention content (account takeover, synthetic identity detection) was an afterthought. The data showed 10x better response to technical specificity. The lesson: sophisticated buyers in technical categories respond to precise problem-solving over brand credibility. Test whether your audience values "who backs us" or "exactly what we do" before defaulting to investor logos and validation. //  Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Portnox is an enterprise access control platform that eliminates passwords and enforces zero trust security. The company was bootstrapped for over a decade, plateauing at a few million in ARR before investors brought in Denny LeCompte as CEO four years ago. Since then, Portnox has grown 8x. But this episode isn't about that growth story. Denny, a former cognitive scientist and professor who taught psychometrics, uses his scientific background to systematically dismantle Net Promoter Score—explaining why it's methodologically flawed, how it misleads organizations, and which metrics actually correlate with business performance. This is a contrarian take grounded in measurement science, not marketing opinion. Topics Discussed: The fundamental psychometric flaws in NPS: why single-item questionnaires are unreliable and why throwing out 7s and 8s violates basic statistical principles How NPS scores fluctuate based on survey UI presentation independent of actual customer sentiment Why NPS creates incentive structures that encourage gaming rather than improving customer outcomes The case for gross revenue retention and net revenue retention as the only ungameable metrics that matter How measuring human behavior changes that behavior (the Heisenberg principle applied to business metrics) Why investors care about retention rates above 90% but don't ask about NPS scores GTM Lessons For B2B Founders: Single-item questionnaires violate measurement principles: Denny's background in psychometrics immediately flagged NPS as unreliable. One-item measures lack the redundancy needed for reliability, and the methodology of throwing out middle responses (7s and 8s) then subtracting detractors from promoters is statistically nonsensical. At a previous company with thousands of data points, he observed NPS scores drop and rise based solely on how the survey rendered on the page—no business changes, just UI differences. When presentation affects your metric independent of the underlying construct, your instrument is broken. Founders with technical backgrounds should trust their instincts when measurement methodology feels scientifically unsound. Compensation drives behavior more than metric accuracy: Portnox structures customer success compensation as 50% gross revenue retention and 50% net revenue retention. These are determined by finance and can't be manipulated. Denny had to rein in his CS team when they became overly focused on time-to-value because any number you give a team becomes their obsession. With NPS, teams game survey timing, cherry-pick recipients, and optimize for score rather than outcome. This is the Heisenberg principle applied to business: measuring changes the behavior. Choose metrics where gaming the number aligns with improving actual business outcomes. Investors evaluate retention rates, not satisfaction surveys: When Denny presents gross retention above 90%, investors don't ask about NPS. Renewal behavior reveals actual satisfaction—customers voting with budget rather than survey responses. The test for any metric: "What are we doing differently if this number is up versus down?" If it doesn't drive distinct actions or reveal information not already visible in financials, eliminate it. NPS often becomes a number that exists because "we've always measured it," inherited from previous leadership without questioning its utility. Question inherited practices ruthlessly: NPS gained adoption through Harvard Business Review credibility in 2003 and consulting firms building practices around it. The promise of "one number you need" appeals to executives wanting simple solutions. But herd behavior—"everyone else measures it"—perpetuates bad methodology. Denny's advice to founders stuck with NPS: give your team something else to focus on (gross retention is straightforward: don't let customers churn), then stop doing it. Sometimes you need to point to external validation to break internal momentum. The question isn't whether NPS correlates somewhat with growth—it's whether better alternatives exist that can't be gamed. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPLSMFimtv0riPyM

Super Bowl week might be over, but the business storylines are just getting started. Matthew is joined by sports business insider and super agent Hadley Engelhardt to break down the biggest numbers and decisions coming out of Super Bowl 60 — from TV ratings and ad revenue to incentive bonuses that can reshape a quarterback’s entire market.

Send a textThis week's enterprise software headlines highlight a market simultaneously accelerating into agentic AI while still wrestling with the structural and legal fallout of past transformation failures. On the innovation front, Genstore's $10M seed round, Tray.ai's launch of the Tray Agent Hub, and new agentic releases from Mendix and OutSystems underscore how aggressively vendors are repositioning around autonomous workflows and AI-first orchestration layers. ServiceNow's unveiling of its AI Experience and Plex's connected worker integration push the same narrative into IT service management and manufacturing operations, signaling that agentic concepts are no longer confined to experimental edges of the stack. At the same time, a parallel storyline of governance and execution risk is playing out, with Zimmer Biomet's $172M ERP lawsuit against Deloitte, Europe's continued delays fixing a troubled Oracle system, Daedong USA's faltering ERP injunction, and the EU Commission's investigation into SAP's practices reinforcing how fragile large-scale enterprise transformations remain. Together, these developments paint a bifurcated 2026 landscape: rapid platform innovation driven by AI ambition on one side, and unresolved accountability, regulatory scrutiny, and implementation risk on the other.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=m3VmbEsy5uQQuestions for Panelists?

Does Google PPC still work for home service businesses—or is it just an expensive mistake?In this Clicks to Calls episode of Owned and Operated, John Wilson sits down with Service Scalers CEO Sam Preston to break down the truth about Google Ads (PPC) for HVAC, plumbing, and electrical companies. Some operators swear PPC is dead. Others are spending six figures a month and winning. The difference isn't the platform—it's execution.They walk through why PPC fails for most owners, how it's fundamentally different from Local Service Ads, and what has to be in place before PPC becomes a scalable, predictable lead channel. From budget minimums and landing pages to tracking revenue (not just calls), this episode lays out a clear framework for deciding if PPC belongs in your business—and how to avoid burning cash if you try it.If you've ever said “Google Ads don't work for us,” this episode will challenge that assumption.What you'll learn in this episode:Why PPC still works—and why most operators think it doesn'tThe real difference between LSA and PPC (and why PPC breaks first)Budget thresholds you actually need to make PPC viableWhy landing pages matter more than ad copyShout Out to FieldPulse

WindBorne Systems is transforming global weather forecasting by deploying long-duration weather balloons that fly for weeks instead of hours. What began as a Stanford Student Space Initiative project has scaled to 100 balloons aloft simultaneously, targeting 500 by end of next year, with an end goal of 10,000 balloons monitoring Earth's atmosphere. In this episode of BUILDERS, I sat down with John Dean, Co-Founder and CEO of WindBorne Systems, to explore how the company secured its first government contract in under three years without lobbyists, achieved 4x annual manufacturing growth, and built Weather Mesh—an AI weather model that outperforms competitors from Google DeepMind. Topics Discussed: The technical evolution from Stanford project to operational constellation of altitude-controlled balloons Strategic decision to pursue government revenue before building B2B forecasting products Navigating Defense Innovation Unit and Air Force Lifecycle Management Center procurement as a founder Timeline from founding to first grants (within six months) and first data delivery contract (two and a half years) Current roughly 50/50 revenue split between civilian agencies (NOAA, international weather services) and Department of Defense Building Weather Mesh after Huawei's Pangu Weather validated end-to-end AI forecasting viability Transitioning from founder-led sales by promoting a Palantir hire from proposal writer to public sector growth leader The 30-year vision of millions of fingernail-sized atmospheric sensors creating a planetary nervous system GTM Lessons For B2B Founders: Study the bureaucracy's incentive structures before pitching product value: John spent years mapping how government procurement actually works rather than leading with product capabilities. The critical insight: in DoD sales, the warfighter (end user) doesn't control purchasing decisions. Success requires understanding each stakeholder's specific mandate and aligning your solution to their organizational incentives, not just operational needs. For civilian agencies like NOAA, the dynamics differ entirely. Founders entering govtech should invest 6-12 months learning procurement mechanics before expecting revenue. Use government contracts as non-dilutive scaling capital for hardware businesses: WindBorne secured SBIR grants within six months, then landed their first Air Force data delivery contract through Defense Innovation Unit at the two-and-a-half-year mark. John explicitly treated early grants as equivalent to venture funding but without equity dilution. For companies building physical infrastructure at scale (satellites, hardware networks, manufacturing operations), government contracts provide the runway to reach technical milestones that unlock larger B2B opportunities. This sequencing—government funding first, then B2B products built on that foundation—proves more capital-efficient than attempting to raise massive venture rounds upfront for unproven hardware. Integrate with legacy systems rather than attempting wholesale replacement: WindBorne doesn't aim to replace the 1,000 radiosondes launched daily worldwide—they're expanding coverage from the current 15% of Earth (where humans can launch traditional balloons) to 100%. The hardware is revolutionary (weeks of flight versus two hours), but the go-to-market integrates into existing weather agency workflows and feeds into established models like GFS and ECMWF. This approach accelerated adoption because agencies could add WindBorne data without overhauling their entire forecasting infrastructure. The displacement of radiosondes becomes economically inevitable long-term, but only after proving the system at scale. Move fast once adjacent technology validates your thesis: WindBorne wasn't investing in AI-based weather forecasting until Huawei's Pangu Weather paper demonstrated that end-to-end neural weather models could compete with physics-based simulations. Once that validation appeared, John's team moved immediately—adopting the open architecture and expanding it into Weather Mesh before the approach became widely adopted. The lesson isn't to wait for competitors, but to monitor adjacent technological developments and move decisively when validation emerges. They built a top-performing model by being early to a proven approach, not first to an unproven one. Hire for mid-level roles and promote based on demonstrated judgment: John hired Dana from Palantir as a proposal writer, not as a sales executive. He watched her demonstrate strong opinions that consistently proved correct, then promoted her to build and lead the entire public sector growth organization. This internal promotion model worked better than external executive hires because the person already understood WindBorne's technology, customers, and internal culture. For specialized domains like government sales, bringing in experienced operators at individual contributor levels and promoting them as they prove their judgment builds more effective organizations than hiring executives to parachute in. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Collate is building a semantic intelligence platform that unifies fragmented metadata tooling across the modern data stack. With 12,000+ community members, 3,000+ open source deployments, and 400+ code contributors, the company has proven that open source can be a systematic GTM engine, not just a distribution tactic. In this episode of BUILDERS, I sat down with Suresh Srinivas, Co-Founder & CEO of Collate, to explore his journey from the Hadoop core team at Yahoo, through founding Hortonworks, to architecting data systems processing 4 trillion events daily at Uber—and why that experience led him to rebuild metadata infrastructure from scratch. Topics Discussed: Why platform builders at Yahoo and Hortonworks struggled to drive business value despite powerful technology The metadata fragmentation problem: how siloed tools lack unified vocabularies and end-to-end context Collate's contrarian decision to build Open Metadata from zero rather than spinning out Uber's internal tooling Engineering an open core GTM model that generates nearly 100% inbound sales from technical practitioners Scaling community contribution: moving from feedback loops to 400+ code contributors Hiring a CMO to translate technical value into business-leader messaging without losing practitioner trust The convergence thesis: structured data, knowledge graphs, and semantic layers as the foundation for reliable AI GTM Lessons For B2B Founders: Architect your open source for GTM leverage, not just distribution: Suresh built Open Metadata as a unified platform consolidating data discovery, observability, and governance—previously fragmented across multiple tools. This architectural decision created natural upgrade paths to Collate's managed offering. The lesson: open source architecture should solve a complete job-to-be-done that reveals commercial value through usage, not just demonstrate technical capability. 100+ daily practitioner conversations beats any user research: Collate maintains ongoing dialogue with their community across Snowflake, Databricks, and other integrations. Suresh called this "a product manager's dream"—immediate feedback on what breaks, what's missing, and what workflow improvements matter. For infrastructure startups, this beat rate of validated learning is nearly impossible to replicate through traditional customer development. High-velocity releases build credibility faster than pedigree: Starting from scratch without Yahoo or Uber's brand meant proving commitment through shipping cadence. Collate's strategy: demonstrate you'll be around and responsive before asking for production deployments. This matters more in open source than closed-source where sales cycles force commitment conversations earlier. Separate technical-buyer and business-buyer GTM motions explicitly: Collate's founding team spoke fluently to data engineers and architects who lived the metadata problem daily. Their CMO hire (after establishing product-market fit) brought expertise in articulating business impact—ROI on data initiatives, compliance risk reduction, AI readiness—without the founders faking business-speak. The timing matters: hire for the motion you're entering, not the one you're in. Play the long game with builder-culture companies: At Uber, internal tools were 2-3 years ahead of vendor solutions but became technical debt as teams moved to new problems. Suresh's advice: "Keep in touch with these larger companies. Your technology will improve and you will have better conversation with larger technical companies." The wedge is timing—catch them when maintenance burden outweighs building pride, typically 24-36 months post-launch. Design for all company scales from day one: Unlike Uber's internal metadata platform built for massive scale with corresponding complexity, Open Metadata works for small teams through enterprises. This wasn't just good design—it was GTM expansion strategy. Building only for scale locks you into enterprise-only sales. Building only for simplicity caps your ACV. The middle path requires architectural discipline upfront. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Ivan Cossu is Co-Founder and CEO of deskbird, a flexible workplace management platform that's scaled past $10 million ARR. Founded in April 2020 during COVID's most uncertain period, deskbird survived a near-death pivot just months in and scaled across 10 international markets within six months—an unconventional path that challenged conventional wisdom about market domination strategies. Ivan shares the tactical decisions behind their international expansion, the shift from founder-led to scalable sales, and why they're deliberately targeting an underfunded VC category. Topics Discussed: The critical pivot from an Airbnb for co-working spaces to workplace management software in July 2020, months before running out of capital The counterintuitive decision to scale internationally within six months rather than dominating a single market first Balancing consumer-grade UX with enterprise-level customization in a category where competitors felt like "database queries" The mechanics of transitioning from pure inbound to incorporating outbound without breaking what's working US market expansion from Europe with higher close rates than home markets—and what that signaled about timing Why traditional email outbound is dead in the AI era and what actually works for breaking through GTM Lessons For B2B Founders: Scale your proven funnel globally before you perfect it locally: When deskbird saw strong early traction, they launched landing pages across UK and US markets within months to test demand signals. Ivan's contrarian take: "If you have a good funnel that's working, be bold enough to scale it globally" rather than spending years dominating Germany first. The key qualifier—you need solid core product and conversion metrics, not just initial traction. They were "way too scared of going international because it always worked out way better than we thought," often seeing better metrics in new markets than home markets. Most founders over-index on local penetration when they should be testing international demand. Choose validation channels by cycle time, not potential scale: In the first 6-12 months, avoid any channel with an 18-month feedback loop, even if it's your eventual ICP. Ivan targeted paid search and lower mid-market specifically because "you get a good sample size quite fast." Fast feedback loops let you iterate positioning, messaging, and ICP assumptions weekly rather than annually. Once you have conviction from high-velocity channels, then layer in longer-cycle enterprise motions. This sequencing prevents burning 12+ months on the wrong strategy. Founder-led sales is a permanent muscle, not a phase to exit: At $10M+ ARR, Ivan still joins sales calls regularly, citing a top entrepreneur-investor's rule: "Sales always needs to remain a final topic." The evolution isn't binary—it's additive. First hires (around 9 months post-MVP) were generalist "hard workers" who could sell vision over process. Today's hires are more disciplined as repeatable plays emerged. But the founder never exits—they shift from doing all deals to strategic deals, competitive situations, and maintaining direct customer insight. Even Benioff at Salesforce's scale still jumps into deals. Outbound in the AI era requires anti-scale tactics: Ivan's blunt assessment: "I don't believe in emails and any kind of written communication, especially not in the age of AI—it's just inflated." What works: (1) Targeted account selection—not 1:1 but not 1:1000 either, find the sweet spot of focused ABM, (2) Physical mail and offline media, (3) Cold calling with proper infrastructure. The challenge isn't the tactic—it's "having all the BDRs and AEs knowing which accounts they have to call, seamlessly calling account after account." Most companies can't operationalize the calling machine. Best results come when marketing warms leads with intent data, then hands them to outbound teams—not pure cold outreach. Underfunded categories force better unit economics: Deskbird's space isn't flooded with VC dollars—Ivan mapped 50-60 European competitors but limited mega-rounds. His take: "There's a downside, it's harder to get VC money, but once you get it you don't have the problem that some spaces are overfunded and it's crazily driving up customer acquisition cost." Markets with excessive capital often have one winner and "very sad consolidation" for positions 2-4. Constrained capital forced deskbird to build profitably and focus on product differentiation (Airbnb-like UX meets enterprise customization) rather than outspending competitors. Close rates in new markets signal expansion timing better than absolute numbers: Deskbird closed US deals from Europe with European AEs in mismatched time zones—and saw the highest close rates of any market. Ivan's logic: "If we can close them from Europe with our European AEs working in different time zones who cannot deliver the same SLAs, and we then go to the US, it should get even better." Don't wait for perfect execution—if you're winning despite structural disadvantages, that's your signal to invest. They hired their first US-based team only after proving they could win remotely. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Civ Robotics is automating construction layout—the process of translating blueprints into physical markers on job sites—using autonomous ground robots instead of traditional surveying crews. Founded by civil engineer Tom Yeshurun after he spent $2 million on a four-person surveying team for a single project, Civ has scaled from initial concept to deploying robots across the United States, Australia, Europe, and the Middle East, with 12 robots currently operating in Saudi Arabia alone. In this episode, Tom breaks down his tactical approach to product-market fit, why he pivoted from aerial drones to ground vehicles based on customer feedback, and how he's building sales teams by recruiting construction professionals rather than traditional sales reps. Topics Discussed: How Tom identified the construction layout automation opportunity while managing $120-500 million infrastructure projects The two-year pivot from aerial drones to ground robots after target customers cited safety concerns Market differences between Israel and the US: subcontracted surveying firms versus in-house EPC operations Converting tier-one contractors like Bechtel and Primoris through persistence and geographic proof points The product development framework: one request = document, two requests = build, three requests = should be done Transitioning from paid digital ads to SEO/AIO optimization with measurable improvements in inbound quality Using AI workflows to audit website metadata and align content with buyer personas instead of investor messaging Sales hiring strategy: grooming construction engineers into customer success and sales roles versus hiring pure sales talent International expansion through remote deployment and a LinkedIn-driven sale that generated 12 robots in Saudi Arabia Product roadmap from layout automation to machine guidance and full construction equipment autonomy GTM Lessons For B2B Founders: Interview customers in your actual target geography, not just accessible markets: Tom built his initial prototype after interviewing Israeli and European companies, but the US market operates fundamentally differently—EPCs like Bechtel and Primoris handle surveying in-house due to volume, while Israeli EPCs subcontract to surveying firms. This changed the buyer persona, sales motion, and value proposition entirely. When he finally interviewed US companies, the feedback was immediate and actionable. Don't optimize for interview convenience—validate where you plan to sell. Let technical decisions be customer-driven, not engineering-driven: Tom's team spent two years developing an aerial drone solution because it was technically more complex and exciting for engineers. Three early adopters said they liked the concept but feared the drone—if it was ground-based, they'd reconsider. Tom scrapped two years of development and rebuilt for ground vehicles. His takeaway: bring both options to target customers before committing development resources. Engineering preferences create technical risk; customer preferences create market risk. Use the "one-two-three rule" for product prioritization: Tom's framework eliminates guesswork in product roadmaps: one customer requests a feature, document it; two customers request it, begin development; three customers request it, it should already be shipped. This prevents building "cool features" that product managers or engineers want but customers don't need, and ensures development resources map directly to revenue opportunities. Deploy proof before the pitch to collapse enterprise sales cycles: When a major contractor asked if Civ's robot could handle Texas mud, Tom responded that they already had a robot deployed "literally a mile away" on an adjacent project. That proximity proof turned a Wednesday discovery call into a Monday deployment, followed by a one-month trial and conversion to a customer now running 15 robots. For hardware or complex B2B sales, having operational deployments near prospects eliminates the biggest objection: "will this actually work in our environment?" Position yourself as a peer, not a vendor: Tom doesn't introduce himself as CEO or founder in sales conversations—he leads with his background as a civil engineer and field engineer who managed the same types of projects his buyers manage. This reframes the conversation from vendor-buyer to peer-to-peer, making it easier to discuss pain points candidly. In technical industries, domain credibility matters more than sales technique. If you lack it personally, your customer-facing team must have it. Audit your website metadata as a conversion optimization lever: Tom discovered his road robot product page was showing solar farm videos in link previews because metadata wasn't optimized per product line. His team systematically reviewed every page's metadata, primary content, and video assets to ensure alignment with the specific buyer viewing that page. This granular optimization improved inbound quality measurably. Most B2B companies ignore metadata entirely—it's a high-leverage, low-effort fix. Hire from industry for sales, hire generalists for marketing: Tom's board challenged him to "duplicate himself" as the company's best seller. His answer: recruit former construction project managers and field engineers who already communicate effectively and understand buyer pain points, then train them on sales process. For marketing, the talent pool with construction automation experience is too small, so he hired a generalist. This isn't about industry knowledge being unimportant—it's about recognizing where domain expertise is essential (customer-facing) versus learnable (content creation). Create reciprocal value loops with influential customers: One customer produces professional-quality content about Civ's robots because showcasing innovation differentiates him with his own clients. Tom reciprocates by cutting the subscription price by 50%, explicitly framing it as "you're a great influencer and helping us spread the word." This relationship generated Civ's Saudi Arabia opportunity—12 robots sold—when the customer's LinkedIn post drew a comment from a prospect. Identify which customers benefit from being seen as early adopters, then structure commercial terms that reward amplification. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM Meta Description: Tom Yeshurun, Co-Founder & CEO at Civ Robotics, shares his framework for product-market fit, hiring construction pros into sales roles, and scaling robotics deployments internationally on BUILDERS.

What if the real reason some leaders close billion-dollar deals isn't tactics—but resilience, authenticity, and personal brand?In competitive trade, construction, and industry businesses, it's not enough to have a product or a process. Customers buy from leaders they trust. This episode breaks down how Shark Tank investor Barbara Corcoran built a billion-dollar real estate empire by standing out in a brutal market—and why the same principles apply directly to leaders running seven- and eight-figure businesses today.In this episode, you'll learn:How resilience becomes a competitive advantage when deals are tough and growth feels slowWhy authenticity and personal brand can accelerate trust and help you close higher-value dealsHow leaders in the $1–$10M range can leverage their own presence to drive faster sales growthHit play now to uncover how resilience, authenticity, and personal brand can help you win more deals and lead your business through its next stage of growth.New episodes every Monday, Wednesday and Friday.Grow Your Sales By 25% - Book in for a FREE 30-minute Sales Process Audit and walk out with 3 rapid actions that will GROW your SalesTo see how we've helped business grow their sales:Read Client ResultsWatch TestimonialsOr email Ben if you would like to get in touch: hello@strongersalesteams.comThis podcast helps the entrepreneur, founder, CEO, and business owner in the trade, construction and industry segments, regain focus, build confidence, and achieve measurable results through powerful sales training, effective sales strategy, and expert sales coaching—guiding every sales leader, sales manager, and sales team in mastering the sales process, optimizing the sales pipeline, and driving business growth while fostering leadership, balance, and freedom amidst overwhelm, stress, and potential burnout, creating lasting peace of mind and smarter decision making for every California business and Australia business ready to scale up with excellence in sales management.

Brent Daniels and bookkeeping expert Max Emory pull back the curtain on the "profit trap" that keeps many high-volume real estate investors broke. Max explains why having a massive team often feeds the ego rather than the bank account and why 2026 is the year to be "ruthless" with expenses.From the nuances of cost segregation and 100% bonus depreciation to the "wealthy person's cheat code" of living off debt instead of income, this episode is a masterclass in keeping more of what you make. Check out the TTP Training Program for more information.---------Show notes:(0:40) Beginning of today's episode (1:14) Why bookkeeping is the true foundation of a high-level real estate business (2:44) Being "ruthless" with expenses: How $90 subscriptions and "swag" eat your bottom line (4:28) Why a $10M business with a 1% profit margin is a "terrible" operation (6:05) Why solopreneurs often take home more money than companies with 20+ staff members (7:38) Utilizing depreciation to save on taxes without losing liquidity (9:59) Engineering studies, building tax basis, and the cost of implementation (13:36) How 100% bonus depreciation works for landlords in 2026 (20:44) When you should actually avoid "writing everything off" to qualify for financing (24:43) Shifting from Income - Expenses = Profit to Income - Profit = Expenses(26:19) Why you should look at P&Ls monthly and cash flow daily ----------Resources:Profit First System Follow Max on InstagramTo speak with Brent or one of our other expert coaches call (281) 835-4201 or schedule your free discovery call here to learn about our mentorship programs and become part of the TribeGo to Wholesalingincgroup.com to become part of one of the fastest growing Facebook communities in the Wholesaling space. Get all of your burning Wholesaling questions answered, gain access to JV partnerships, and connect with other "success minded" Rhinos in the community.It's 100% free to join. The opportunities in this community are endless, what are you waiting for?

Did anyone else notice the Super Bowl field design — and what the colors appeared to represent?

The Seahawks take the Lombardi Trophy

AlabamaGovernor Ivey sets date for 3/12 of first state execution for 2026SoS Wes Allen urges state senate to pass bill prohibiting foreign campaign $AG's Office looking into Wedowee Utilities after financial audit resultsState lawmaker says "clean" lottery bill filed last week is anything butMuckraker's Anthony Rubin talks mass migration as a weapon to dissolve cultureNational5th Circuit court rules that illegals arrested do not require bond to be setGA judge orders the FBI to release warrant detail on raid of election hubPA Senator  comes out in favor of the SAVE Act still to be offered in SenateTANF program under scrutiny for misuse of funds by government watchdogsPresident Trump gives BAD review of Bad Bunny's Super Bowl Halftime ShowKid Rock gets 10M viewers in Half Time Alternative show by Turning Point USA

In this episode, Trey talks with Top Producer Team, Myriam Leal and Ryan Garzon. They share how they got started together, how they're scaling their book to $10M and beyond, and the many lessons they've learned along the way. Instant classic....

Maxima is building AI agents that automate enterprise accounting while maintaining the auditability and control standards finance teams require. In a recent episode of BUILDERS, we sat down with Yogi Goel, CEO and Co-Founder of Maxima, to explore his eight-year journey at Rubrik from Series C through IPO, and how those lessons shaped his approach to solving the 70-80% of finance time currently wasted on manual work. Topics Discussed: Why Rubrik's approach—entering stagnant markets with first-principles thinking—became Maxima's blueprint Securing $3K-$5K POC commitments from Figma mockups before writing code Why Scale AI and Rippling rejected a point solution and demanded 3-4 modules from day one The compound startup model: building multiple products simultaneously to meet buyer expectations How 17% of CFOs are adopting AI tools today (vs 51% in software development) Why finance teams view AI agents as "digital college freshmen" who need proof of work Hiring from YouTube Studios, Apple, and Robinhood instead of legacy finance software companies How NetSuite World conference booth sizes revealed the data integration infrastructure gap The $3K-$5K validation threshold that proved finance pain was urgent enough to pay pre-product GTM Lessons For B2B Founders: Demand generation unlocks engineering potential: Yogi learned from his Rubrik mentors: "focus on demand and if you have great engineers then they will solve the problems." Maxima built products in 2-3 months they didn't initially know were technically feasible—because customer demand pulled the engineering team forward. For founders with strong technical teams, customer demand should drive the roadmap, not engineering's comfort zone. Trust your engineers to solve hard problems when customers are waiting. $3K-$5K is the pre-product validation threshold: Before writing any code, Yogi secured POC commitments at this price point based solely on Figma mockups. This isn't about revenue—it's about proving urgency. Verbal interest means nothing. Small pilot commitments mean "we'll try it someday." But $3K-$5K pre-product means "this problem is urgent enough to pay before seeing a working solution." Use this threshold to separate real pain from polite interest. Sophisticated buyers will reject your narrow MVP: Scale AI and Rippling told Maxima explicitly: "If you will only build this one thing, we will not buy. You have to commit to building three, four modules." Conventional wisdom says start narrow, but enterprise buyers with complex workflows won't adopt point solutions that create new integration headaches. When sophisticated buyers articulate their real buying criteria, ignore the startup playbook. Yogi built a "compound startup" with 4-5 modules from day one because that's what the market demanded. Target acute pain over easy access: Early-stage companies (10-30 people) were easier to reach but finance wasn't urgent enough. At that scale, it's "build product, ship product"—finance operations aren't broken enough to warrant urgent attention. Companies at 500-1,000+ employees have finance teams drowning in manual work that prevents strategic contribution. Target where pain justifies urgent action and budget exists, not where calendar access is easiest. Hire intensity and first-principles thinking over domain knowledge: Maxima deliberately hired zero engineers from legacy finance software companies. Their frontend engineer came from YouTube Studios. Others came from Apple, Robinhood, Netflix—none with financial product experience. Yogi's three hiring criteria: "incredible intensity, huge confidence in themselves, and fast thinking mode." Domain expertise creates pattern-matching to old solutions. First-principles thinking creates breakthrough products. One team member didn't finish high school but is "one of the best out there." Make AI explainable or finance teams won't adopt: Finance teams adopted faster than expected because Maxima showed every calculation step. "If they can prove by looking at the Math, you know, 18 plus 88 plus 36 is X. And I can see the step of the work, they are willing to give it to them." This isn't about fancy UX—it's about auditor-grade proof of work. Finance professionals won't trust black box outputs. Build transparency into the product architecture, not as an afterthought. This explainability became Maxima's competitive moat. Conference booth sizes reveal infrastructure gaps: At NetSuite World, the largest booths weren't ERP vendors or payment processors—they were data integration companies. This single observation validated that enterprises are desperately solving data fragmentation problems. Companies manually download from Stripe, Snowflake, Salesforce weekly to build Excel pivots. Maxima invested in upstream integrations as core infrastructure from day one. Use industry conferences to validate where companies are spending money on workarounds—that's where infrastructure gaps exist. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Votre entreprise stagne ? Vous avez l'impression de courir comme "un coq sans tête" ? Le problème n'est pas votre produit, mais votre leadership. Découvrez le modèle qui change tout.

Travis and producer Eric break down a viral tweet questioning Dave Ramsey's $200M net worth and "no debt" advice, revealing why he's likely worth over a billion and how he built a debt-free empire preaching timeless financial basics. On this episode we talk about: A tweet claiming Dave Ramsey got rich selling "no credit card" advice he never followed himself. Ramsey Solutions' massive scale: 10M EveryDollar app users, $300M+ annual revenue, $300-400M in paid-off real estate. Why similar apps (TrueBill/Rocket Money) sold for $1.275B, proving Ramsey's hidden billionaire status. How to vet advice from "sellers" like coaches/authors without dismissing all profitable wisdom. The power of repeating simple truths (like "spend less than you make") for decades like Ramsey or Gary Vee. Top 3 Takeaways Practice beats preaching. Ramsey lives debt-free, owns everything outright, and scaled to billions without outside capital—proving his advice works at massive scale. Question financial incentives, but don't auto-discount. If someone's advice only makes them richer via high-ticket coaching, probe deeper; low-price scalability (books/courses) is often more legit. Boring repetition builds empires. Dave's said "spend less than you earn" for 30+ years; Gary Vee's hammered social/content for 20—find your core truth and repeat relentlessly. Notable Quotes "Dave Ramsey didn't get to $200 million by never using a credit card... He got to $200 million by selling that idea to you."  "EveryDollar is a multi-billion dollar company. Rocket Money (TrueBill) sold for $1.275B with 10M users—Ramsey owns it 100% debt-free." "He's been preaching the same message for 30 years and still debt is at an all-time high... but he's made a big dent for tons of people." Connect with Travis: Instagram: https://www.instagram.com/travischappell/ Other: travischappell.com Travis Makes Money is made possible by High Level – the All-In-One Sales & Marketing Platform built for agencies, by an agency. Capture leads, nurture them, and close more deals—all from one powerful platform. Get an extended free trial at gohighlevel.com/travis Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Just Wondering with Norm Hitzges, Norm and Mary Hitzges look backward and forward at the same time — tracing the remarkable evolution of the Super Bowl while unpacking a franchise-shifting decision by the Dallas Mavericks. Norm begins with Super Bowl 60, revisiting how the game went from an awkward, half-empty afternoon in 1967 to the most powerful annual spectacle in American sports. From $12 tickets and $42,000 commercials to today's $8–10 million ad slots, Norm explains how the Super Bowl's growth mirrors the transformation of sports, television, and money itself. Along the way, he shares unforgettable history — including Max McGee's hungover heroics in Super Bowl I and the astonishing reality that neither network bothered to save the full game tape. The episode then shifts to the present, where Norm breaks down the Dallas Mavericks' decision to move on from Anthony Davis, effectively closing the book on the Luka Dončić era. Norm explains why the trade wasn't about talent — Davis was still productive when healthy — but about flexibility, criticism fatigue, and long-term cap strategy. With Dallas now projected to have $44 million in cap space, Norm outlines how the Mavericks may follow a patient, Oklahoma City–style rebuild built around flexibility, draft assets, and opportunistic trades. It's a thoughtful episode about growth, money, patience, and perspective — from the Super Bowl's unlikely beginnings to a franchise trying to find its next identity. Just Wondering_1.mp3 ⏱️ Chapters (YouTube-Friendly) 00:00 – Super Bowl Sunday questions and today's themes01:26 – The origin of the Super Bowl name02:10 – From $12 tickets to $10M commercials02:58 – 32,000 empty seats at Super Bowl I04:57 – Why the full game footage was never saved05:53 – Max McGee's hungover Super Bowl legend06:49 – Super Bowl 60 matchup and betting context08:02 – Why defense still wins Super Bowls08:56 – Transition to the Mavericks' big move11:09 – Anthony Davis traded and what it really means11:54 – Criticism fatigue and why Dallas wanted out13:20 – What the Mavericks actually received14:15 – The real prize: $44M in cap flexibility15:40 – Following the Oklahoma City rebuild model16:21 – Pieces Dallas still likes going forward17:18 – What Dallas ultimately got for Luka18:27 – Sponsors and closing thoughts19:19 – Final sign-off Check us out: patreon.com/sunsetloungedfwInstagram: sunsetloungedfwTiktok: sunsetloungedfwX: SunsetLoungeDFWFB: Sunset Lounge DFW Just Wondering is a long-form sports commentary podcast hosted by longtime broadcaster Norm Hitzges, offering thoughtful, numbers-driven analysis of the NFL, college sports, the NBA, and the business and culture surrounding them. Each episode blends experience, history, and curiosity to explore why things happen — not just what happened. New episodes feature clear-eyed perspective, context you don't hear elsewhere, and questions worth sitting with a little longer.

Need financing for your next investment property? Visit: https://www.academyfund.com/ Want to join us in Charleston, SC on June 1st & 2nd? Visit: https://www.10xvets.com/events ____ Jeff Evenson is an experienced business leader and scaling strategist at scaling.com, where he works with founders who are ready to move from early traction to sustained growth. Alongside Blake Erickson and Dr. Benjamin Hardy, he helps entrepreneurs shift from being day-to-day operators to becoming strategic leaders who design companies that scale. Over the last two decades, Jeff built and exited multiple businesses, including a $3.5M hair salon operation, a manufacturing firm, and a machine shop. He formally entered the coaching space in 2021 and recently joined scaling.com after an introduction from fellow West Point graduate Freddie Kim. Today, his work centers on helping business owners grow with clarity and discipline through three guiding principles: raising frame, raising floor, and sharpening focus.     In this episode of the SABM podcast, Scott chats with Jeff about: From West Point to Multiple Exits: Jeff's journey through the Army, corporate finance, business ownership, and the lessons learned from exiting companies through divorce and partnership dissolution. The Three Pillars of 10X Growth: How a simple, proven framework turns seemingly impossible goals into achievable ones in three years or less. The Print Shop Case Study: How one business owner went from $850K to a path toward $10M by eliminating sub-$5k clients and acquiring a $3M company with a built-in sales team. Operator to Architect: Why the biggest transformation isn't in your business model, it's in who you need to become to lead a 10x company. The Big Vision: Scaling.com's goal to help 5,000 businesses scale simultaneously in the next two years.   Timestamps: 01:02 Jeff's Journey from West Point to Scaling.com 05:02  Why 10X is Easier Than 2X 09:07 The Three Pillars: Frame, Floor, and Focus 12:34 Case Study: Scaling a Print Shop from $850K to $10M 26:57 Transformation Required, Operator to Architect 34:19 Scaling.com's Vision and How to Get Involved Connect with Jeff: LinkedIn | Jeff Evenson www.scaling.com jeff@scaling.com  If you found value in today's episode, don't keep it to yourself—share it with a colleague or friend who could benefit. And if you're a Service Academy graduate ready to elevate your business, we'd love for you to join our community and get started today. Make sure you never miss an episode subscribe now and help support the show: Apple Podcasts Spotify Leave us a 5-star review! A special thank you to Jeff for joining me this week. Until next time! -Scott Mackes, USNA '01  

For more than a decade, AJ has heard the same truth repeated by Keith Ferrazzi: you don't think your way into change — you act your way into it.In this episode, AJ reframes behavior as the real infrastructure of business.Not culture decks.Not strategy docs.Not alignment workshops.Behavior.Hiring decisions. Product bets. Pricing conversations. Leadership energy. How teams move. How decisions get made. These micro-behaviors compound into revenue, morale, momentum — or stagnation.AJ breaks down why most organizations stay stuck despite smart people and strong intentions: they keep analyzing outcomes instead of replacing the behaviors producing them.This is a direct conversation about:– Why alignment is operational, not emotional– How daily actions quietly dictate bottom-line results– What it actually takes to unlock growth beyond $10M, $20M, $50M– Why change must start immediately — not after another planning cycleIf your business feels heavy, disconnected, or slower than it should be, this episode explains why — and where real transformation begins.

A lot of investors talk themselves into believing their market is “too competitive” or “dried up.”I don't buy it.In every city, there are a few operators quietly closing deals while everyone else complains there's nothing left.That usually means the market isn't the problem.Activity is.Lindsay and I break down how to actually diagnose your market, how to tell when an area is truly tight versus when you simply haven't talked to enough sellers yet.Once you create more activity in the market, more opportunities show up.And more opportunities demand better funding.If you have access to capital, your market never really dries up.That's the entire focus of Bill Allen's new 2-Day Flip Funding Challenge.In just 2 days, you'll learn how to raise up to $10M in private capital over the next 12 months, using the same system Bill has used to raise over $150M and fund 200+ deals a year.CLICK HERE to join the 2-day Flip Funding Challenge >>Catch you later!LINKS & RESOURCES1,000 FREE Seller LeadsGet your first 1,000 seller leads FREE from our partner BatchLeads and start closing deals immediately. CLICK HERE: http://leads.getbatch.co/mztQkMr7 Figure Flipping UndergroundIf you want to learn how to make money flipping and wholesaling houses without risking your life savings or "working weekends" forever... this book is for YOU. It'll take you from "complete beginner" to closing your first deal or even your next 10 deals without the bumps and bruises most people pick up along the way. If you've never flipped a house before, you'll find step-by-step instructions on everything you need to know to get started. If you're already flipping or wholesaling houses, you'll find fast-track secrets that will cut years off your learning curve and let you streamline your operations, maximize profit, do MORE deals, and work LESS. CLICK HERE: https://hubs.ly/Q01ggDSh0 7 Figure RunwayFollow a proven 5-step formula to create consistent monthly income flipping and wholesaling houses, then turn your active income into passive cash flow and create a life of freedom. 7 Figure Runway is an intensive, nothing-held-back mentoring group for real estate investors who want to build a "scalable" business and start "stacking" assets to build long-term wealth. Get off-market deal sourcing strategies that work, plus 100% purchase and renovation financing through our built-in funding partners, a community of active investors who will support and encourage you, weekly accountability sessions to keep you on track, 1-on-1 coaching, and more. CLICK HERE: https://hubs.ly/Q01ggDLL0 Connect with us on Facebook and Instagram: @7figureflipping Hosted on Acast. See acast.com/privacy for more information.

Brim, Kim and Mr. Greer are back at it again. Apart from all the usual shenanigans, the gang chats about everything in pop culture with all the trimmings as they discuss a plethora of AI headlines including the man who predicted AI, the new AI agent only social media (Skynet here we come), Google dropping Project Genie, and the man arrested for collecting royalties of over $10M for AI music. The crew also chats about the boxer who got his toupee knocked clean off, the great mini duck search (or not so great), Luigi Mangione no longer facing the death penalty, and why 90s kids think differently than Gen Z. The cast talks about the passing of Catherine O'Hara and Grady Demond Wilson, Motley Crue defeating Mick Mars in court, The Last of Us, and White Castle vending machines. They talk about Ted Lasso's comeback, Cher fumbling of Kendrick Lamar's win (all in good fun), and Jaden Smith's awesome restaurant. The crew also discusses how Wendy's is owning Chik-Fil-et with their trolling, and the Epstein Files... people who continued to stay involved after he'd been convicted. The crew chats about entertainment news, opinions and other cool stuff and things. Enjoy.Wherever you listen to podcasts & www.thegrindhouseradio.comhttps://linktr.ee/thegrindhouseradio

WBS: The Great Bacon Caper. #347 -- The gang is at it again. Brimstone is joined by his wing-man Alex DaPonte, Meg Suss and Brim's wife Danielle as they chat about Alex's bacon adventures, Luigi Mangione no longer facing the death penalty, and the new Mark Iplier film reaching number two in the country. They discuss the new AI agent only social media platform, and the man who was arrested for making fake AI bands and reaping over $10M in royalties. They discuss the passing of Catherine O'Hara and Grady Demond Wilson, and how Major Labels are signing AI acts for millions. Brim explains what gets Within Brim's Skin.

Scaling a service business is rarely a straight line, but Bryan Clayton's journey shows that grit, resourcefulness, and a relentless focus on customer value can turn even the most hands-on operation into a national brand. Bryan started with nothing more than a push mower and a desire to make extra cash. That small side hustle became Peachtree Landscaping, a company he grew to over $10 million in annual revenue and 150 employees before successfully exiting. But what came next would challenge every assumption about what it takes to build and scale in today's economy. After selling his first company, Bryan set out to solve a bigger problem: how to connect homeowners with reliable lawn care providers without friction. The result was GreenPal, an online marketplace for lawn care services, often described as the "Uber for lawn care." Built from scratch and funded entirely by its founders, GreenPal now serves over 300,000 users and generates more than $30 million per year. What sets Bryan apart isn't just the outcome — it's how he got there. With no background in tech, he taught himself how to write code and lead product development. He navigated the difficult transition from being a hands-on operator to a tech CEO by focusing on solving one problem really well and building systems that scaled along with it. For entrepreneurs running service-based businesses, Bryan's story challenges the idea that outside capital or a Silicon Valley pedigree are required to scale. His growth was driven by customer obsession, iteration, and long-term thinking. He shares how he leveraged early feedback loops to improve GreenPal's onboarding, optimized the customer experience by focusing on trust and ease of use, and built a company culture designed to attract operators who cared about outcomes, not just outputs. Bryan's background also offers a relatable blueprint for those in more traditional industries. Whether you run a franchise, manage multiple service locations, or are building something from your garage, the principles he shares apply: keep it simple, stay close to the customer, and build something people truly need. What makes his perspective especially relevant today is the rise of AI and automation in small business operations. GreenPal has adopted intelligent workflows and lean tech stacks to reduce friction and scale efficiently. Bryan talks candidly about how small service businesses can incorporate automation to increase profitability, improve customer experience, and create more margin for innovation — even with limited resources. The key takeaway? You don't need to reinvent your business overnight. But you do need to think differently about how it grows. Bryan's path proves that scaling a service business isn't about massive funding rounds or flashy launches. It's about building something useful, one block at a time, and staying committed to continuous improvement. Whether you're starting from scratch or ready to move your operation to the next level, Bryan Clayton's approach offers both inspiration and tactical insight. His success didn't come from shortcuts — it came from solving problems no one else wanted to, and doing it better than anyone else. Watch the full episode on YouTube. Don't miss future episodes. Join Fordify LIVE! every Wednesday at 11AM Central on your favorite social platforms and catch The Business Growth Show Podcast every Thursday for a weekly dose of business growth wisdom. About Bryan Clayton Bryan Clayton is the CEO and Co-Founder of GreenPal, an online marketplace that connects homeowners with local lawn care professionals. Prior to GreenPal, he built and sold Peachtree Landscaping, growing it from a push mower to a $10M/year business with 150 employees. Today, Bryan helps other entrepreneurs scale service businesses using technology, automation, and a customer-first approach. Learn more at YourGreenPal.com. About Ford Saeks Ford Saeks, a Business Growth Accelerator with over 20 years of experience, has redefined the formula for success, generating over a billion dollars in sales worldwide for companies ranging from start-ups to Fortune 500s. As the President and CEO of Prime Concepts Group, Inc., Ford specializes in helping businesses attract loyal and repeat customers, expand brand awareness, and ignite innovation. A tenacious and innovative powerhouse, Ford has founded over ten companies, authored five books, been awarded three U.S. patents, and received numerous industry awards. His expertise extends to AI prompt engineering, where he is renowned for training AI to craft compelling content that drives engagement and results. Ford recently showcased this expertise at the prestigious "Unleash AI for Business Summit," discussing how ChatGPT is revolutionizing operations, marketing & sales, and the customer experience. Learn more at ProfitRichResults.com and watch his show at Fordify.tv.

Why Sustainable Apparel Brands Fail (And How Wildhaven Wools Is Doing It Right) with Julia Billings What does it really take to build a sustainable apparel brand that lasts? In this episode of The Business of Apparel Podcast, Rachel sits down with Julia Billings, founder and CEO of Wildhaven Wool, to unpack the real story behind building a values-driven kids apparel brand from Alaska, without cutting corners, chasing trends, or underpricing the product. Julia shares how she turned a personal need into a profitable brand, why merino wool is one of the most misunderstood materials in fashion, and what most founders get wrong about sustainability, pricing, and growth. This is an unfiltered conversation about long timelines, tough decisions, pricing with confidence, and why loving your idea is non-negotiable if you want to survive entrepreneurship. If you're building (or thinking about building) an apparel brand, and want to do it ethically, profitably, and with intention, this episode is required listening. Sign up for the Secrets Behind Billion Dollar Apparel Brands Masterclass here: https://www.thebusinessofapparel.com/secrets Join The Board here: https://www.thebusinessofapparel.com   Key Moments: 00:27 Julia Billings: Founder of Wildhaven Wools 00:54 The Origin of Wildhaven Wools 02:54 The Benefits of Merino Wool 04:28 Sustainability and Longevity in Kids' Clothing 06:42 Masterclass Announcement 07:54 Commitment to Sustainability 14:03 Advice for Aspiring Apparel Entrepreneurs 17:50 Overcoming Initial Hurdles 18:31 Starting Small and Understanding Your Customer 19:20 The Importance of Passion and Innovation 22:05 Believing in Your Vision Despite Doubts 25:02 Fail Fast and Learn from Failure 28:01 Pricing and Profitability 32:00 Community Impact and Final Thoughts   CONNECT WITH JULIA: Julia Billings is the founder of Wildhaven Wools, a sustainable children's clothing brand making merino wool base layers designed to expand as kids grow and fit for 3+ years. An Alaskan mom who believes deeply in the importance of raising kids in connection with nature, Julia started Wildhaven to make warm layers that could keep up with her rowdy kids all-day outdoor play, without harming the planet and its inhabitants in the process. Since starting her brand in 2022, Julia has grown Wildhaven from a home sewing operation to US-based commercial manufacturing and a business that pays her a paycheck and employs other women in her rural community. In addition, Wildhaven has helped thousands of customers outfit their kids in 100% natural ethical merino and live the core belief that all kids deserve a childhood spent outside and wild.   Website: https://wildhavenwools.com/ Instagram: https://www.instagram.com/wildhavenwools/ Facebook: https://www.facebook.com/wildhavenwools Watch more of The Business of Apparel Podcast episodes: Wholesale 101: https://youtu.be/lpezH1YwCyE Use AI in Your Apparel Brand: https://youtu.be/Dn9tjPNmfaw  Grow A 7-Figure Apparel Business: https://youtu.be/rpQYDyo5Rao We can't wait to hear what you think of this episode! Purchase the Business of Apparel Online Course: https://www.thebusinessofapparel.com/course ABOUT RACHEL: Rachel Erickson—Fractional COO, Apparel Industry Consultant, and founder of Unmarked Street and The Business of Apparel. With 20+ years in technical design and product development leadership, I've sat at the executive table of a $25M apparel line and helped scale it to $60M in one year.   After decades working inside major fashion companies, I learned the truth behind billion-dollar brands, and it's not about chasing trends or pumping out endless products. It's about building clean processes, tightly edited assortments, and obsessively focused customer targeting.   I help founders and CEOs of performance apparel brands: ✅ Build lean, profitable product lines ✅ Streamline operations for growth ✅ Replace overwhelm with executive clarity ✅ Create garments that fit bodies in motion   Whether you're just hitting $1M in revenue or trying to break through the $10M ceiling, my team joins you as an embedded operations and product partner—running fittings, line plans, tech packs, and vendor communications so you can get back to leading.   To connect with Rachel, you can join her LinkedIn community here: LinkedIn. To visit her website, go to: www.unmarkedstreet.com.   

“An hour of planning can save you 10 hours of doing.” — Dale CarnegieThere's been a trend sweeping the world and that's cold exposure.In the busy world we're in today, more and more people are connecting back to these ancient traditions that help us feel our best.Onward,JamesPS —⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ We just passed 10M+ views on YouTube! ⁠⁠⁠Join 23K+ other subscribers on YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Wealth preservation at the $1M to $10M level isn't about finding the next unicorn; it's about structural discipline. In this solo episode, Sam Silverman dismantles the "Portfolio Paradox", the stress of having high net worth but low liquidity, and reveals his comprehensive framework for deploying $1 million effectively.We move beyond the accumulation mindset to the architecture of allocation, breaking down the specific "jobs" every dollar must play, from providing sleep-at-night liquidity to capturing asymmetric upside.In this episode, we cover:The Portfolio Paradox: Why portfolios that look good on paper often cause massive stress due to illiquidity traps and analysis paralysis.The 5-Point Filter: The rigorous stress test every deal must pass, balancing Yield, Appreciation, Liquidity, Tax Efficiency, and Impact.The 4-Bucket Blueprint: A detailed breakdown of the target allocation: 15% Liquidity, 30% Predictable Income, 40% Long-Term Growth, and 10% Asymmetric Bets.Earning Illiquidity: Why you must "earn" the right to lock up capital in private equity by first establishing a foundation of liquid cash and income.Asymmetric Sizing: The "Zero" Rule for high-risk ventures; how to size bets so that a total loss changes nothing, but a win changes everything.Links & Resources:Newsletter: Join the Mechanics of Money weekly deep dive: https://www.mechanicsofmoney.coInvest: Invest with Silverman Capital: https://silvermancapital.coAbout the Host: Sam Silverman is the Founder of Silverman Capital, a private equity and real estate investment firm. Mechanics of Money is the audio playbook for high-net-worth individuals moving from "High Earner" to "Sophisticated Allocator."

The Chicago Bulls are officially the MOST ACTIVE team at the NBA Trade Deadline… and they're not done yet.

Send us a textThis week's enterprise software news highlights a widening gap between glossy innovation narratives and the hard operational and governance realities shaping buyer risk. On the innovation side, BlackLine's launch of Verity for the Office of the CFO, Tray.ai's Agent Hub, Genstore's $10M seed round, and Blue Yonder's new TMS features underscore the accelerating push toward AI-enabled automation and orchestration layers across finance, integration, and supply chain. Versori's partnership with Fluent Commerce and Acumatica's 2025 R2 update further signal growing emphasis on ecosystem connectivity and incremental platform modernization. At the same time, the darker counterpoint is impossible to ignore: Zimmer Biomet's $172M ERP lawsuit against Deloitte, a major European city council's continued delays in fixing a failed Oracle system, and the EU Commission's investigation into SAP's practices reinforce how execution risk, vendor governance, and regulatory scrutiny are now front-and-center issues for enterprise buyers. Taken together, these developments reflect a market bifurcating between rapid AI-driven experimentation and escalating consequences for large-scale ERP missteps—raising the strategic stakes for both technology selection and transformation leadership.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=_tFlYu6W_iwQuestions for Panelists?

Edward Saatchi has been building at the frontier of AI storytelling for a decade—from Oculus Story Studios to Fable (where his AI character Lucy made her own films at Sundance) to his current venture, Amazon-backed Showrunner. His thesis is provocative: AI-generated content is stuck in a four-year rut of short-form experiments with no commercial marketplace, no monetization path, and no artistic value. Creators are working solo, making 10-second clips that can't compete with Rick and Morty or Netflix originals. The solution? Band together, make features and TV shows, and build platforms where creators get paid every time someone remixes their work.Edward's most audacious project proves the point: reconstructing Orson Welles' lost masterpiece, The Magnificent Ambersons (44 minutes destroyed by studio cuts in 1942), using motion-capture actors and AI to seamlessly restore what was erased. The irony is intentional—it's a film about technology destroying beauty, restored by technology. Edward's approach isn't text-to-video slop. It's human performance driving AI synthesis: hire stage actors, capture their performances, use the original cutting continuity as a blueprint, and let AI fill the gaps. The result is cinema-quality work that would cost $100 million traditionally but costs $10 million with AI assistance.In AI XR News This Week: Amazon announces 16,000 layoffs (mostly middle management) while ramping robotics—replacing humans with machines in warehouses. Amazon Go and Amazon Fresh stores close after years of investment; the self-checkout convenience experiment dies. Snap spins off Spectacles AR glasses into a separate business, signaling lack of cash or confidence. Apple and OpenAI both developing AI wearables to launch in 2027, powered by Gemini and Google AI. Google launches Project Genie, a generative AI model that creates fully interactive 3D game worlds you can navigate and remix in real time. Walkabout Mini Golf (one of the 10 most popular Quest apps) lays off half its staff. Atlas V, the acclaimed French VR studio behind Spheres and Battle Scar, pivots to location-based entertainment. Darren Aronofsky launches an AI animated series on YouTube called On This Day.Key Moments Timestamps:[00:05:00] Amazon's 16,000 layoffs paired with robotics expansion; the canary in the coal mine for white-collar work[00:06:00] Amazon Go/Fresh failure: humans reject automated futures when given the choice[00:07:14] Snap spinning off Spectacles; Ted's thesis on AR glasses remaining "exotic," not mainstream[00:10:00] Apple wearables running Gemini + Google AI; the winning formula for wearable AI domination[00:12:48] Walkabout Mini Golf layoffs and Atlas V's pivot; VR right-sizing continues[00:15:25] Google Genie: generative 3D worlds, playable and remixable in real time; Epic should be scared[00:19:11] Edward Saatchi joins: the state of AI video and why there's no marketplace after 4 years[00:22:00] Edward's concern: AI content is "derivative but worse" with no commercial value[00:28:00] The marketplace problem: no buyers, no revenue, no sustainability for creators[00:34:00] Ted's thesis: AI is quietly disrupting VFX and screenwriting behind the scenes[00:44:00] Critters: the proof-of-concept for AI-assisted theatrical animation ($10M vs. $100M traditionally)[00:49:00] Showrunner's business model: creators earn money every time someone remixes their show[00:52:00] The Magnificent Ambersons project: restoring Orson Welles' lost masterpiece with AIEdward makes a case that reads like a manifesto: AI's killer app isn't making derivative work faster or cheaper. It's remix, interactivity, and personalization at scale—letting audiences co-create with AI while creators get paid. His challenge to the industry: hold yourself to "derivative but better" (can you make a better Simpsons episode than the last 15 seasons?) or "original and good" (something from a non-human intelligence's perspective). Until creators band together to make features and TV shows with commercial value, AI video will remain stuck in the trough of disillusionment.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Mattercraft combines the power of a game engine with the flexibility of the web, and now features an AI assistant that helps you design, code, and debug in real time, right in your browser. Build smarter at mattercraft.io.Listen to the full episode and subscribe to the AI XR Podcast for weekly conversations at the intersection of AI, entertainment, and the future of interactive media. Watch on YouTube.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Max went from a YC rejection to building a $1.8B company in less than two years. His company, Legora, is the fastest YC-backed company to become a unicorn in history. His path to insane growth was not standard: after raising a massive Series A, Max told his board he was pausing all new sales for six months to rebuild the product infrastructure.In this episode, Max breaks down the "burn the boats" mentality that drove their growth, the specific demo tactics that convert 55% of prospects, and how to build an engineering culture that ships fast enough to beat incumbents like Thomson Reuters.Why You Should ListenWhy he shut down sales for 6 months immediately after raising $35M.How a single live demo stunt at a conference generated 150 qualified leads.The aggressive pitch strategy that turned a YC rejection into an acceptance.How to close a $10M round with Benchmark after a single meeting.Why you should encourage your enterprise clients to run bake-offs.Keywordsstartup podcast, startup podcast for founders, product market fit, AI legal tech, Y Combinator, hypergrowth, enterprise sales, Benchmark Capital, fundraising strategy, rapid scaling00:00:00 Intro00:06:51 Getting Rejected by Y Combinator00:15:37 Living on 50k Euros with Design Partners00:30:19 The Live Demo That Booked 150 Meetings00:34:06 Raising $10M from Benchmark in 30 Minutes00:35:13 Shutting Down Sales After Raising Series A00:46:36 How to Win 85 Percent of Competitive Deals00:50:05 The Moment of True Product Market FitSend me a message to let me know what you think!

Most recruiting firms never break $10M — not because of the market, but because the leader becomes the bottleneck. If you want to scale past $10M (or $25M) without chaos, burnout, or relying on one rainmaker, this episode is a must-listen.  30 Day BD Challenge Kicks off Feb 9th in the Elite Recruiter Community https://elite-recruiters.circle.so/checkout/elite-recruiter-community  2. Why This Episode Matters Scaling a recruiting firm isn't about working harder — it's about building the right foundation. In this episode, you'll learn the exact framework elite recruiting and staffing firms use to grow revenue, develop leaders, and scale sales in volatile markets. If your firm feels stuck at $5–10M, overly dependent on top billers, or constantly firefighting, this episode shows you why — and how to fix it.  3. What You'll Learn The 4-part framework recruiting firms must master to scale past $10M intentionallyWhy most firms stall between $5M–$10M (and the hidden leadership mistake causing it)The exact reason top billers become dangerous bottlenecks — and how to fix itHow elite firms build repeatable sales systems instead of relying on hero performersThe mindset shift leaders must make to unlock team-wide growthHow to structure accountability so sales behavior actually sticksWhy slowing down strategically helps recruiting firms grow faster 4. About the Guest Shad Tidler is a senior sales consultant at Lucid (Lucian) and has spent over a decade helping recruiting, staffing, and professional services firms scale revenue through leadership, sales systems, and accountability. He works directly with owners and leadership teams navigating the jump from $5M to $25M+. 5. Extended Value Tease Imagine a recruiting firm where growth isn't dependent on one or two rainmakers. Where leaders aren't buried in admin. Where sales reps know exactly what to do, why it matters, and are held accountable without micromanagement. This episode shows you how elite firms create structure, clarity, and momentum — and why the best leaders learn to get out of the way. 6. Listen Now CTA If you want to scale your desk, your team, or your entire firm the right way — press play now. This episode will permanently change how you think about growth. 7. Timestamp Highlights 00:02 – The $10M ceiling most recruiting firms never break05:10 – How Shad accidentally entered the recruiting world14:35 – The 4 S's framework: Strategy, Structure, Staff, Skills24:20 – Why leaders — not recruiters — are the growth bottleneck31:00 – The mindset shift elite firm owners make38:15 – How to plan the jump from $5M to $10M45:05 – Why training fails without accountability51:40 – The danger of relying on 1–2 top billers59:10 – How elite firms build sales systems that scale1:07:00 – What leaders must stop doing to grow faster1:14:30 – The most overlooked reason firms stall out1:20:45 – Why fundamentals beat “new tactics” every time1:28:10 – Shad's book recommendation and mindset philosophy 8. Sponsors Section

The survival rate of brands at $1 is brutal enough. And at $10M, even more hit a wall or die. But the real problem that survivors face as they scale into eigth figures is stagnation. The grand delusion is that adding more and more retail accounts will keep the brand growing. But this is an illusion whose fragility exposes itself once deceleration begins and doesn't reverse with new accounts. Growing past $100M and deep into the nine figures is NOT a sales game. It is a marketer's game. But most brands need to change one thing. Have a listen and take notes. This is not material in my book.Your Host: Dr. James F. Richardson of Premium Growth Solutions, LLC www.premiumgrowthsolutions.com Please send feedback on this or other episodes to: admin@premiumgrowthsolutions.com

In this episode of The First Day from The Fund Raising School, host Bill Stanczykiewicz, Ed.D., sits down with Carly Berna, Vice President of Marketing (and the impressively titled “Fundraiser in Residence”) at Virtuous. Carly shares findings from the latest Virtuous Benchmark Report, a treasure trove of data gleaned from over 570 nonprofits using the platform for at least three years. The result? A layered look at donor trends across sectors and revenue sizes, from faith-based orgs to human services, all the way from scrappy sub-million-dollar shops to the $10M+ fundraising heavyweights. “Flat doesn't mean bad,” Carly notes, sometimes staying steady means you've weathered the storm. Bill and Carly dig into the meaty data highlights, starting with online giving. The average online gift increased by $5 in the last year and is up a whopping $22 since 2020, showing just how powerful digital channels are becoming, no surprise given Boomers are now a driving force online (61% of them give that way!). Meanwhile, Carly waves the mid-level donor flag with pride, celebrating growth in this oft-ignored group. Nonprofits are learning not to put all their donor eggs in one major gift basket. The conversation turns to recurring giving, a favorite of sustainability-minded fundraisers everywhere. While the average nonprofit sees 13% of their revenue coming from recurring donors, Virtuous' top quartile of performers boasts a hefty 33%. Donor retention is also slowly rebounding post-pandemic, reaching a six-year high of 50%. But Carly urges listeners not to settle, “Top performers hit 67%, so shoot for the stars!” Finally, the duo dives into donor acquisition and lifetime value. New donor acquisition is slipping, now around 30%, but those who do give are investing more over time, with average donor lifetime value rising to $784. Carly's message is clear: nonprofits need to be smart, not just generous: track your data, find your gaps, and don't just pat yourself on the back for being average. With the right balance of stewardship, segmentation, and sustainability, nonprofits can build donor relationships that last longer than most gym memberships.

In this episode, we're joined by Liubomyr Pivtorak, Chief Product Officer at Hily, one of the world's fastest-growing dating apps with over 40 million users worldwide.Liubomyr has spent the last 10 years in B2C mobile, including 8 years in the hyper-competitive dating industry, leading products that scaled to 10M+ and 30M+ users globally.He'll take us behind the scenes of how Hily grew in a red ocean market, competing against giants like Tinder, Hinge, and Bumble — by running 100+ in-app experiments every quarter and obsessing over data, user behavior, and retention.You will discover:✅ The experiment-driven framework that powers Hily's growth (100+ experiments every quarter)✅ How to grow in a red ocean market like dating apps✅ What actually worked vs what failed — real growth experiment stories✅ The data-driven mindset behind scaling from millions to tens of millions of users✅ How to compete with giants like Hinge, Bumble, and Tinder using smarter experimentsLearn More:Try Hily → https://hily.com Connect with Liubomyr → https://www.linkedin.com/in/liubomyrp/You can also watch this video here: ⁠⁠https://youtube.com/live/rUiISNtS3ssGet training, coaching, and community: https://appmasters.com/academy/*********************************************SPONSORSGot tons of freemium users who won't upgrade? Encore turns free users into paying customers and reduces churn by adding smart, curated affiliate offers at key user moments. Everyone wins with Encore.Learn more at https://encorekit.com/*********************************************Still designing, resizing, and uploading screenshots manually? AppScreens lets you pick from hundreds of high-converting templates, generate for every device size and language in minutes, and upload automatically to directly to App Store Connect and Google Play Console. Trusted by more than 100K developers and ASO experts worldwide.Try it free: https://appscreens.com/?via=am*********************************************Follow us:YouTube: ⁠AppMasters.com/YouTube⁠Instagram: ⁠@App MastersTwitter: ⁠@App MastersTikTok: ⁠@stevepyoung⁠Facebook: ⁠App Masters⁠*********************************************

January 30, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Hims & Hers airs Super Bowl spot titled "Rich People Live Longer," framing consumer health as response to structural inequity in preventive care access Climatic raises $10M seed round to launch first daily lung health system backed by Mount Sinai research, creating new wellness category AG1 announces Hugh Jackman as global ambassador as Bryan Johnson publicly criticizes the brand, sparking debate over clinical evidence and supplement credibility More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider Reach out → insider@fitt.co  

Some of our streets still haven't been cleared, nearly a week after the Pittsburgh region was hit with double digit snowfall. When can we expect some relief? And will UPMC's $10 million gift for emergency vehicles make things better? (Also, just how generous is this gift, really?) City Cast Pittsburgh host Megan Harris is joined by producer Sophia Lo and contributor Colin Williams to share the latest on snow removal. Plus, they discuss city and county efforts to restrict ICE activity, whether the new Steelers head coach counts as a win or loss for our city, and how you can help make a Pittsburgh-themed Lego set become a reality. Notes and references from today's show: UPMC gives $10M to city for plows, ambulances [Axios Pittsburgh] The challenges Pittsburgh Regional Transit faced before making rare decision to suspend service during snowstorm [Post-Gazette] Pittsburgh-area school districts are running out of snow days [KDKA] PODCAST: Mayor O'Connor on ICE, Affordability & AI [City Cast Pittsburgh] PODCAST: Can You Be Charged for Getting in ICE's Way? [City Cast Pittsburgh] Ways To Support Pittsburgh's Immigrant Communities [City Cast Pittsburgh] 'Pittsburgh is my world': Emotional Mike McCarthy introduced as new Steelers coach [Post-Gazette] Guild Journalists, Pittsburgh Community, Local Labor Comes Together to Launch PAPER [CWA] Architecture: Pittsburgh, Pennsylvania [Lego Ideas] Who Should Be On Pittsburgh's Walk of Fame? [City Cast Pittsburgh] Walk of Fame Nominations [Pittsburgh Walk of Fame] Learn more about the sponsors of this January 30th episode: Fulton Commons The Westmoreland Museum P3R Planned Parenthood of Western Pennsylvania Become a member of City Cast Pittsburgh at membership.citycast.fm. Want more Pittsburgh news? Sign up for our daily morning newsletter. We're also on Instagram @CityCastPgh! Interested in advertising with City Cast? Find more info here.

Dr. Alan Baratz, CEO of D-Wave Quantum (QBTS), joins Opening Bell with a slew of updates on the company's growth picture. He shares details of new deals, including a 2-year $10M agreement with a Fortune 100 company. Baratz says his company has ongoing discussions with airlines, chemical manufacturers and even wireless companies all exploring quantum computing technology. He adds their partnership with Anduril and the company's defense exposure. Baratz explains the varied application uses for quantum and how D-Wave adopts to a broadening customer base.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

EP 152 - This Simple Calendar System Will Scale Your Clothing Brand Is the #1 thing you're avoiding right now a timeline and calendar for your brand? In this episode of The Business of Apparel Podcast, Rachel unpacks why building a detailed, backwards-planned timeline is the foundation of a successful and stress-free apparel brand. Whether you're selling direct-to-consumer or eyeing wholesale, understanding your calendar isn't just helpful, it's essential. Rachel details production schedules, fashion industry timelines, and the leadership mindset required to hit your dates and grow your brand. You'll also learn about the "invisible killer" of apparel businesses: poor decision-making at key milestones. Stick around to the end for crucial advice on Spring 2027 launch timelines and how The Board membership can give you insider tools and mentorship to level up your operations. Sign up for the Secrets Behind Billion Dollar Apparel Brands Masterclass here: https://www.thebusinessofapparel.com/secrets Join The Board here: https://www.thebusinessofapparel.com Key Moments: 00:00 Introduction: The Importance of a Brand Timeline 00:33 Leveraging Fashion Calendars for Success 01:14 Building a Stress-Free Timeline 02:28 Decision Making and Leadership 04:24 The Importance of Timely Decisions 06:42 Masterclass: Secrets Behind Billion Dollar Apparel Brands 07:27 Commitment to Timelines in Leadership 07:49 Wholesale Buying Timelines 09:38 Planning for Spring Collections 18:46 The Board: Your Strategic Advantage 20:21 Direct to Consumer Strategies 23:20 Conclusion: Join the Board for Industry Insights Watch more of The Business of Apparel Podcast episodes: Wholesale 101: https://youtu.be/lpezH1YwCyE Use AI in Your Apparel Brand: https://youtu.be/Dn9tjPNmfaw  Grow A 7-Figure Apparel Business: https://youtu.be/rpQYDyo5Rao We can't wait to hear what you think of this episode! Purchase the Business of Apparel Online Course: https://www.thebusinessofapparel.com/course ABOUT RACHEL: Rachel Erickson—Fractional COO, Apparel Industry Consultant, and founder of Unmarked Street and The Business of Apparel. With 20+ years in technical design and product development leadership, I've sat at the executive table of a $25M apparel line and helped scale it to $60M in one year.   After decades working inside major fashion companies, I learned the truth behind billion-dollar brands, and it's not about chasing trends or pumping out endless products. It's about building clean processes, tightly edited assortments, and obsessively focused customer targeting.   I help founders and CEOs of performance apparel brands: ✅ Build lean, profitable product lines ✅ Streamline operations for growth ✅ Replace overwhelm with executive clarity ✅ Create garments that fit bodies in motion   Whether you're just hitting $1M in revenue or trying to break through the $10M ceiling, my team joins you as an embedded operations and product partner—running fittings, line plans, tech packs, and vendor communications so you can get back to leading.   To connect with Rachel, you can join her LinkedIn community here: LinkedIn. To visit her website, go to: www.unmarkedstreet.com.   

In this episode, Eric Coffie breaks down a massive Q1 opportunity: the government has roughly 90 days to obligate $82.8B in unobligated DoD funds—or risk losing budget authority. Eric shares how he triangulated data across sources (including NDAA legislation, Treasury Fiscal Data, CBO, and unobligated balance reporting) and explains what "unobligated" really means: authorized money that hasn't been committed to contracts yet—creating a high-pressure spend window from January through March. Eric also explains why this is a "perfect storm" for small businesses: higher sole-source thresholds (non-manufacturing up to $8M, manufacturing up to $10M), relentless small business goal pressure, and a huge recompete marketplace where long-term vehicles can lock up spend for 5–10+ years. He closes with actionable next steps (buyers lists, low-competition hit lists, NDAA cheat sheets, agency pain points, and recompete trackers) so contractors can stop reacting late—and start positioning early. Key Takeaways: Q1 is a use-it-or-lose-it spend window—position now, not when the bid drops Most money is tied to task orders/IDIQs + sole source, not just SAM "open bids" Track recompetes + agency pain points to negotiate and partner before teams are picked If you want to learn more about the community and to join the webinars go to: https://federalhelpcenter.com/  Website: https://govcongiants.org/  Connect with Encore Funding: http://govcongiants.org/funding Join 2026 Surge Bootcamp Starting January 31: https://govcongiants.org/surge 

“It's very simple; just look at your life to see where you're heading. You're always in a momentum of something.” ― Maria ErvingWe're four weeks into 2026, and I have a question for you: How are those New Year's resolutions going?If you're like most people, the initial excitement has already started to fade. The clarity you had a few weeks ago is already getting cloudy.In this minisode, I'm going to show you how winners plan their year so, even if you're off to a tough start, you can still finish strong. Onward,JamesPS —⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ We just passed 10M+ views on YouTube! ⁠⁠Join 23K+ other subscribers on YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

CADENA 100 destaca las buenas cifras de empleo, con 22.4 millones de trabajadores y el paro bajo 2.5 millones. La OMS retira a España de la lista de países libres de sarampión por su circulación desde 2024, impulsando a Sanidad a reforzar la vacunación. Un estudio BBVA revela creencias como que las vacunas causan autismo (6%), la Tierra es plana (1/20) y visitas extraterrestres (casi 30%). En '¡Buenos días, Javi y Mar!', oyentes comparten lesiones accidentales. Una empresa de EE. UU. acepta reservas para un hotel en la Luna (apertura 2032, hasta 10M€). Se advierte sobre ciberdelincuentes en rebajas, aconsejando desconfiar de grandes descuentos y verificar HTTPS. Jimeno explora secretos infantiles (críticas a vecinos, palabrotas). Se discuten irritaciones domésticas (brick de leche casi vacío, poco papel, no sacar basura). La borrasca Christine provoca fuertes lluvias y nevadas en España, generando atascos. Justin Bieber confirma su participación en Coachella, sin gira en 2026. Se ...

Blake Lively rallied her famous friends v. Justin Baldoni, Timothy Busfield & the Michael Jackson playbook, Oscar nominations, not-a-Prince Harry cried in court, investigating the death of Jim Irsay, Maz's bad picks, Jim's Picks: Top 10 B-Sides, and My Strange Addiction introduces us to Vabbing. We've been binging The Ben Show clips on YouTube. Timothy Busfield defense is Michael Jackson 2.0. Oscar Nominations are out. Who were the big winners and who was snubbed? Reliving Gwyneth Paltrow's Oscar Speech from 1999. Blake Lively texted Taylor Swift, Ben Affleck, Matt Damon and more of her famous friends to use them vs her battle with Justin Baldoni. Prince Harry is a baby and proves it in court. A brand new Bonerline. Another crazy My Strange Addiction. Meet Cassy from Boston. She is addicted to Vabbing. Can you guess what she smells like? Brooklyn Beckham's wife, Nicola Peltz is the worst and so is her stupid husband, Brooklyn Beckham. It sounds like Britney Spears is ACTUALLY going to go on tour with her son, Jayden. Bret Michaels and his bandana are trying to screw over the rest of Poison. Phil Collins is almost dead. Rolling Stone Magazine dug into Mike Smith. He's a singer/songwriter that scammed the system out of $10M by buying bots and making people think a lot of people were listening to his music. Sherrone Moore was in court today to say he did nothing wrong. The FBI is investigating Jim Irsay's death. Something happened to Stuttering John's pants...Some people are saying... Tom finally called back...After a business meeting. Tom got all of last week's NFL predictions wrong. Then he gives predictions for this week's game. Maz throws some half-ass trivia questions at us. Jim's Picks: Top 10 B-Sides Merch remains available. Click here to see what we have to offer for a limited time. If you'd like to help support the show… consider subscribing to our YouTube Channel, Facebook, Instagram and Twitter (Drew Lane, Marc Fellhauer, Trudi Daniels, Jim Bentley and BranDon)