Troy Osinoff

💰 This startup raised $5.5M. Now it’s on Acquire.com for $10M. But here’s the catch: It’s never turned a profit. Let’s break this one down 👇 🛵 Bizness Breakdown: Motorcycle Rental Marketplace Think Airbnb, but for motorcycles. The largest peer-to-peer network in the U.S. with 70,000+ rides completed. 📊 Numbers: – $3.3M TTM revenue – $250K/month top line – $0 in profit – $5.5M in VC raised – Asking: $10M 😬 Why It’s on Acquire? Because VCs want a liquidity event — and no one’s offering them a proper one. This is the new Plan B: → List the startup → Hope someone bites → Return something to investors 📉 What’s broken? - Burn-heavy ops - No profitability - Overly ambitious multiple (3x revenue, despite no earnings) But… For the right buyer, this could be a steal. 💡 If I were buying this, here’s the angle: → Strip out fixed costs → Focus on profitable cities → Reduce CAC by targeting motorcycle communities, not broad tourists → Lean into insurance + affiliate upsells → Treat it as a cash cow, not a rocket ship 🧠 Lesson: These types of VC-backed assets are quietly flooding Acquire.com right now. They aren’t good venture bets. But they might be great bootstrap exits. All depends on how you operate post-close. What would you pay for a business like this? 👇 Drop your multiple in the comments.

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Agency retainers and hourly billing are poison for early-stage startups. Financial uncertainty kills more products than bad code. The model is broken. When you pay by the hour, you are incentivizing activity, not outcomes. Scope creep becomes inevitable, and unpredictable invoices force founders to choose between their product vision and their runway. This financial ambiguity is an unacceptable risk for a business managing its burn rate so closely. The only logical alternative is a model built on predictability. A fixed monthly price for a dedicated team of product experts aligns incentives correctly. It allows founders to budget with certainty and forces the development partner to focus on efficiency and results—namely, getting to the first paying customers. Stop buying hours. Start investing in outcomes. What has been your experience with the pricing models of development agencies or freelancers? #SaaS #Founder #StartupFinance #ProductManagement #Bootstrapping

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Your Pixel Can Be Precise—And Yet Consent Is Still Your Bottleneck Did you know you can have “perfect” tracking—clean pixels, server-side events, deduplication, attribution tuned—and still lose a massive share of measurable customers because your consent layer is quietly opting them out? Merchants spend weeks fighting for a 1–2% delta between tracking vendors But if your consent setup is opting out 25%+ of traffic in key regions—whether due to configuration, region rules, category mapping, banner behavior, or load-order timing—then pixel precision really cannot help you. Fixing Consent does - future and the past. The uncomfortable reality: consent can nullify “perfect tracking.” Everything can look correct: Pixel firing ✅ Server-side events flowing ✅ Dashboards showing activity ✅ And yet: Net New Audience shrinks - CAC is up, ROAS is down EMQ rates do not drop - yet, you are screwed! Attributed conversions drift all over the place Algorithm learning is now limited, costing you longer term Because #consent is determining how much signal you’re allowed to collect—and most merchants don’t have a clear way to see how much they’re losing to start with; OR a simple way to measure it. The “wild numbers” problem In one analytics view, opt-out rates aren’t rounding errors—they’re business-impacting: UK opt-out ~45% [ weirdly low, likely non compliant ] EU opt-out ~40% [ weirdly low, likely non compliant ] California opt-out ~26% [ whoa, likely killing your business ] #Likely above caused by incorrect settings, you’re not optimizing tracking—you’re optimizing around missing inputs. The real issue: you can’t fix what you can’t observe. Most teams can’t answer (confidently): What % is opted in vs opted out? By region? By consent category (Marketing, Analytics, Preferences, Sale of Data)? How is it trending week over week? If you run paid media and you use a consent banner, start with observability. 👉 Install Blotout ConsentIQ [ Knowing the problem is the beginning of fixing it ] https://lnkd.in/gVsmRzSb #Shopify #ecommerce #privacy #CAPI #marketinganalytics #consent #performanceMarketing

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Agencies that only know how to “run accounts” are going extinct. Tech is catching up fast, but the future isn’t agencies vs. tech. It’s agencies with tech. They will converge. The smartest operators I know are already blending strategy, creative, and data. They’re building systems that make human decisions more accurate, not replacing humans. The agency of the future won’t be a service. It’ll be a strategic engine powered by tech.

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Initially tested on over 50,000 sites via a feature plugin, speculative loading has shown measurable performance improvements, including a ~1.9% boost in Largest Contentful Paint (LCP) passing rates. Read more 👉 https://lttr.ai/Akral #SpeculativeLoading #CloudflareSpeedBrain #LatestAdvancements #WebPerformance #UnlockBlazingFastExperiences #LargestContentfulPaint

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AppLovin launches beta of generative video AI. Applovin states that "Axon clients spending around $1M per month often upload ~150 new assets monthly, while larger advertisers can be testing thousands." Automating video ads production will lead to great efficiency gains but I believe the real 10-year lever is something else. 🚀 Yes, lowering production costs is great for margins. But the exponential engine of AI isn't just about making ads production cheaper—it’s about making them hyper-personalized i.e. effectiveness. Especially with potential much more niche offerings for eCommerce vs. gaming advertisers, the platform's value growth will be dependent on getting the right ad with the right creative (think end game: every user has an own creative) in front of the right users at the right price point. In 1-2 years from now, we have and end of "One-Size-Fits-All": In the old model, you made 20 videos and hoped one worked. In the new era, the AI "Brain" can create a unique, optimized version of that creative for every single user. 🧠 Users will benefit a lot: When content is optimized for the individual, the ad experience stops being "noise" and starts being an added value (like you like the products presented on Instagram). This leads to higher retention for publishers and significantly better ROI for advertisers. 📈 At our 2026 applike group kickoff, we discussed a lot that AI isn't a trend to follow—it’s an unstoppable wave to ride. For us, the mission is clear: Using our scale of 770m. users globally to drive absolute relevance. In our company adjoe, we work tirelessly on bringing hyper personalization to rewarded advertising, where it's less about the creative (but still important), but more about reaching deep funnel engagement through personalized reward curves. 1 year from now, in-app-advertising will have fully changed 👇 #AdTech #AppLovin #AI #GenerativeVideo #adjoe #MarTech #Innovation #HyperPersonalization #FutureOfTech

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