Austin Howe

I genuinely love teaching and supporting new engineers, coders, developers, and technologists. As we've been expanding our technology team recently, I’ve found myself doing what I enjoy most: asking thoughtful questions, challenging assumptions, and encouraging people to think beyond "just building" and to focus instead on the risks, edge cases, and long-term impact of what they're creating. One topic and project that came up recently was data, and why it’s so critical to every online technology business. I explained the importance of: ✅ Data accuracy (is it correct?) ✅ Data integrity (does it remain trustworthy and connected?) ✅ Data quality (is it usable and clean?) ✅ Data validation (do we prevent bad data from entering systems?) ✅ Data consistency (does it mean the same thing everywhere?) I used companies like Google, Meta, and Twitter X as examples: if these fundamentals aren't strong, how can machine learning (ML) models be trained properly? How can online profiling improve? How can future AI systems become smarter, safer, and more reliable? Ultimately, data is king and the fuel for modern tech businesses. The better the data foundations, the stronger the product, decisions, and technology built on top of it. Strong data = strong product and faster growth. Weak data = weak decisions and poor scalability. Don’t just build features...build solid foundations. #data #technology #business

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Picking a dev shop shouldn’t leave the success of your startup to chance. But let’s be real: one wrong hire and you’re stuck: → Scope creep burning $50k/month while they "figure it out"… → Missed deadlines pushing your launch into next year… → "Scalable" code that faceplants at 1,000 users… You’re not crazy... 74% of startups blow their dev budget 2X–3X over (thanks, Gartner). Why? Most shops: ❌ Stuff your MVP with "nice-to-haves" (that users ignore). ❌ Lock you into tech that can’t grow with you. ❌ Smother you in jargon while your cash evaporates. We got tired of the BS. So we built a dev shop for founders, by founders: Tight-Fisted MVP Sprints Ship in 90 days with ONLY what makes you money. Live performance dashboards → see exactly how healthy your tech is. Skin-in-the-Game Pricing... Fixed monthly fees. Zero surprise invoices. We don’t "exit" ’til you’re winning. Why this works when others flop: While rivals drown in tech debt, you’ll: → Deploy 3X faster (clean code ≠ rocket science). → Pivot over coffee – not corporate Zoom marathons. → Scale profitably while others beg for "just 6 more weeks!" Stop rolling dice with your company. 👉 "DM" us for a free tech autopsy : We’ll dissect your stack + show you 3 cash leaks bleeding you dry. PS: Choose the perfect dev partner and watch your startup soar. #NoMoreTechRegrets #MVPThatDoesntSuck #RealTalkDevs #SaaSFounders #ScaleWithoutTears #DevShopRehab #StartupTruths

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Your biggest referral source might also be your biggest competitor. An insurance company reimburses your sessions. That same company: - Invests in therapy platforms - Builds its own behavioral health networks - Launches direct-to-consumer mental health products So yes… the payer sending you clients might also be building systems where providers eventually have to pay to play. It’s “I support you” and “I might replace you” at the same time. Meanwhile, reimbursement rates haven’t exactly kept up with inflation. This isn’t a conspiracy theory. It’s vertical integration. The polite version is called a partnership. The less polite version is owning the casino. And if you’ve ever been inside a casino, you know the house rarely loses. But something interesting is happening in mental health. More therapists are building their own practices. More clinicians are thinking like founders. And founders rarely like playing in someone else’s casino.

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𝗧𝗵𝗲 𝗦𝗮𝗮𝗦 𝗦𝗲𝗹𝗹-𝗢𝗳𝗳 𝗜𝘀𝗻’𝘁 𝗔𝗯𝗼𝘂𝘁 𝗩𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻𝘀. 𝗜𝘁’𝘀 𝗔𝗯𝗼𝘂𝘁 𝗕𝗿𝗼𝗸𝗲𝗻 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗠𝗼𝗱𝗲𝗹𝘀. 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝗵𝗼𝘂𝗹𝗱 𝗣𝗮𝘆 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻. Over the past few weeks, we’ve watched a sharp sell-off across the SaaS sector. The market message is pretty clear: 𝗔𝗜 𝗶𝘀 𝘂𝗻𝗱𝗲𝗿𝗺𝗶𝗻𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗺𝗼𝗮𝘁𝘀 𝘁𝗵𝗮𝘁 𝘄𝗲𝗿𝗲 𝗯𝘂𝗶𝗹𝘁 𝗼𝗻 𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝘀𝗲𝗮𝘁𝘀, 𝗹𝗶𝗰𝗲𝗻𝘀𝗲𝘀, 𝗮𝗻𝗱 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 — 𝗻𝗼𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. This isn’t new. We’ve seen this movie before. Advertising once sold impressions. Then Google and Facebook rewired the industry. CPM (cost-per-impression) gave way to 𝗖𝗣𝗔 (cost-per-acquisition) and 𝗥𝗢𝗔𝗦 (return-on-ad-spend), and budgets flowed to platforms that could prove impact. Incumbents didn’t fail because ads disappeared — they failed because their pricing models stopped making sense. 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝘀 𝗰𝗹𝗼𝘀𝗲𝗿 𝘁𝗼 𝘁𝗵𝗮𝘁 𝗺𝗼𝗺𝗲𝗻𝘁 𝘁𝗵𝗮𝗻 𝗺𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗿𝗲𝗮𝗹𝗶𝘇𝗲. For decades, PM has operated on a CPM-like model:  • Fees based on % 𝗼𝗳 𝗿𝗲𝗻𝘁 𝗼𝗿 𝘂𝗻𝗶𝘁𝘀 𝗺𝗮𝗻𝗮𝗴𝗲𝗱  • Value measured by activity (rent collected, tickets closed, reports delivered)  • Weak linkage between 𝗳𝗲𝗲𝘀 𝗽𝗮𝗶𝗱 and 𝗮𝘀𝘀𝗲𝘁 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 In plain terms: owners pay for effort, not outcomes. That worked when execution itself was scarce. AI is changing that. Traditional PM providers now face structural — not cyclical — challenges:  • 𝗠𝗶𝘀𝗮𝗹𝗶𝗴𝗻𝗲𝗱 𝗶𝗻𝗰𝗲𝗻𝘁𝗶𝘃𝗲𝘀: fees stay flat whether NOI improves or deteriorates  • 𝗟𝗮𝗯𝗼𝗿-𝗯𝗼𝘂𝗻𝗱 𝗺𝗮𝗿𝗴𝗶𝗻𝘀: scale is limited by headcount, not insight  • Focus on managing process, not 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 AI breaks this equilibrium:  • Leasing becomes a 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺  • Maintenance becomes 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲, not reactive  • Delinquencies and renewals become 𝗽𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆-𝗱𝗿𝗶𝘃𝗲𝗻  • Pricing becomes 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗮𝗻𝗱 𝗺𝗮𝗿𝗸𝗲𝘁-𝗮𝘄𝗮𝗿𝗲 Once outcomes are measurable and optimizable, charging “X% of rent” starts to look like charging per ad impression in 2005. The next generation of winners won’t sell “property management.” They’ll sell performance:  • Fees tied to 𝗡𝗢𝗜 𝗹𝗶𝗳𝘁  • Upside-sharing on rent growth and occupancy  • Accountability for cost avoidance and bad-debt reduction The SaaS sell-off is a warning shot. 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘄𝗼𝗻’𝘁 𝗱𝗶𝘀𝗮𝗽𝗽𝗲𝗮𝗿. 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆-𝗯𝗮𝘀𝗲𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗺𝗼𝗱𝗲𝗹 𝘄𝗶𝗹𝗹. AI isn’t making PM cheaper. It’s making the old pricing indefensible.

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