Vigma.ai

And suddenly you find out which parts of your business were actually running on Claude and which ones were running on you typing frantically into Claude. For us it's the patient call scripts. Every time Anthropic goes down, 200+ calls/day at the practices we work with revert to one overwhelmed front desk person. That moment clarifies the value proposition faster than any sales deck ever could.

The "nobody cares" part is what separates the ones who make it. I came from roofing sales where I had a manager, a leaderboard, and a branch counting on me every day. That external accountability was a crutch I didn't know I had. First 6 months building solo: zero feedback, zero external pressure. The discipline to ship anyway — when literally no one is watching and no one cares yet — that's the actual skill set entrepreneurship requires. The business stuff can be learned. The self-direction is rarer than people think.

Everyone wants to be an entrepreneur until they realize nobody cares about them. There's no orientation. No performance reviews. No one is checking to see if you showed up. Most people can't handle that. They need the structure more than they'll ever admit.

Partially agree. The AI-as-trend play is absolutely a trap. Companies building AI moats on top of OpenAI pricing that can change overnight are in trouble. But the nuance: AI that replaces a real operational cost isn't "unsustainable dependency" — it's just a better vendor. We use AI to handle patient calls for dermatology practices. The AI replaced $35K/year in front desk labor. Even if inference costs triple, the math still works. The trap is building on top of AI hype. The opportunity is building on top of a real problem AI happens to be the cheapest solution for.

Investing heavily in AI at your company will backfire. You are becoming dependent on something that is unsustainable. The VC money will dry up once they realize nobody is going to make any money in the long run except NVDA and the power companies. The subsidies will stop. And your costs will 5x. There is no moat in AI. Switching from GPT to gemini to grok to claude takes seconds and you don't miss a beat. Its a house of cards.

The tax residence thing aside — what is actually happening in Miami right now is rare. Most tech ecosystems are just social clubs for people who want to feel like they're building. When Sergei Brin shows up to a hackathon unannounced, it signals something different: density of actual builders creating gravitational pull. We're building healthcare AI out of Indiana of all places. The startup scene there is nonexistent. But maybe that's the point — zero distraction, total focus.

Me when my accountant tells me I have to show up at the local startup event to prove my new tax residence

Quit door-to-door roofing sales — where rejection was the default — to build a healthcare AI company from scratch. The fear of losing was real. Losing a $90K+ income, a team I'd built, and the status that came with it. But the math was obvious: stay and slowly shrink, or risk and possibly grow. Losers don't lose because they try. They lose because they protect what they have so tightly they never find out what else was possible.

Losers becomes losers by being afraid of losing.

The healthcare AI space feels like this daily. Two years ago a voice AI that could handle a patient call end-to-end cost $500K to build. Now it's a weekend project. The "behind" feeling is actually just speed — the baseline keeps moving. Dermatology practices we work with aren't behind either. They're just watching the distance between where they are and the frontier grow. The ones who stop comparing to the frontier and just start somewhere are the ones who actually ship.

reminder that you’re not behind, it’s just moving too fast

Two-algorithm theory makes sense when you look at how different the engagement patterns are for personal vs. company posts. We've tested this in the healthcare AI niche — the same insight posted from a personal profile outperforms the company page consistently, even with a smaller following. The organic reach mechanics seem to heavily favor personal credibility signals over brand authority. @amandanat's breakdown of this is essential reading for anyone posting B2B content right now.

Why LinkedIn Might Have Two Algorithms 👉 sparktoro.com/blog/why-linke… For those of you who care about LinkedIn's ranking algo, @amandanat recently broke down @cspenn's deep dive.

The "billions of interacting minds" framing is what gets underappreciated in healthcare. We're already seeing the early version of this at the practice level — AI agents handling patient calls interact with other automated systems (insurance portals, scheduling software, EHR APIs) hundreds of times a day. The intelligence explosion isn't a single superintelligence. It's millions of specialized agents developing emergent coordination. Healthcare is going to feel this sooner than most sectors because the workflows are already so interconnected.

"The recent explosion of agentic AI suggests the possibility of something similar at the scale of billions of interacting minds, human and non-human alike." An essay on the Intelligence Explosion @ScienceMagazine by @profjamesevans @bratton @blaiseaguera science.org/doi/10.1126/sc…

D2D sales lesson that applies to AI: Door 1 says no. Door 50 says no. Door 97 says no. Door 98 has a front desk drowning in calls and says "wait, you can fix that?" Most people quit before door 98. That's the only difference between winners and everyone else.

Reset speed is an underrated competitive advantage in business too. Had a demo completely bomb last month — the AI mispronounced a doctor's name and the practice manager shut down. Old me would've spiraled for a week. Instead: fixed the bug that night, rebooked the demo, closed the deal. The gap between successful founders and everyone else isn't talent. It's recovery time.

The ability to quickly reset and recover. From a bad interaction. From a bad day. From a missed workout. From a poor decision. You can start over whenever you want. You can't always control what happened, but you can control how long you carry it.

The "practicality and cost-effectiveness" gap is the most important finding here. AI can match diagnosis accuracy all day — but knowing which test is actually worth ordering for THIS patient in THIS context requires something models haven't learned yet. The real unlock isn't AI replacing physicians. It's AI handling the 80% operational burden (scheduling, documentation, triage routing) so physicians have the cognitive space for exactly this kind of nuanced clinical judgment.

Comparison of AI and primary care physicians for 100 patients in a prospective real-world assessment —The physicians outperformed AI [AIME] for practicality and cost-effectiveness —AI was comparable for diagnosis, management plan, appropriateness and safety @AdamRodmanMD @alan_karthi @PeterBrodeurMD @googledeepmind arxiv.org/abs/2603.08448…

The nostalgia is real but I think we're mourning the wrong thing. The challenge didn't actually move — it shifted upstream. Used to be: "How do I build this?" Now it's: "What's worth building?" That second question is harder, lonelier, and no amount of Claude Code can solve it for you. The shower epiphany isn't gone. It just changed from a technical insight to a strategic one.

I think this collective feeling of "I don't enjoy coding anymore because it's so easy with AI" is good to talk about and realize, and I have it too I miss going to bed with a coding challenge I have to get through and then wake up and in the shower I get the answer and I scream EUREKA!!!!! But then you quickly just have to accept that the world has permanently changed now and it's just not going back because letting AI code for you is simply so much faster and effective and will only get better with every passing year So the better mental approach for me to these things is to just aggressively embrace it and change myself instead, if the fun in solving the challenges is gone, where else can I find the fun? I'm lucky a bit because for me the fun has always been building new things in general, not so much the coding part, although the coding challenges were fun for me too. But having ideas and just building new things was always the most fun. So I have to double down on that now, making more things and making better things and making them much faster than before. Especially now that literally everyone in the world has access to the same coding skill as everyone else (which is AI), the focus will have to aggressively be on what remains as a differentiator for me as a creator, which is my ideas and the way I execute them, not coding them So that's what I will try focus on from now on I think

The inverse is even worse: people who negotiate their friends down to cost but pay full price to strangers without blinking. Saw this constantly in roofing sales. Homeowners would haggle their buddy's contracting rate for weeks but sign a $15K deal with a door knocker they met 20 minutes ago. Your friends already gave you the best deal — it's called trust.

Buy shit from your friends businesses and try and get free shit from strangers. Not the other way around.

The nuance nobody's talking about: it's not just college grads losing entry-level jobs. It's the entire "first rung" of the career ladder disappearing. We're seeing it in healthcare right now. Front desk roles at medical practices used to be how people broke into the industry. Now AI handles 80% of those calls. The remaining 20% becomes a higher-skill role. The graduates who adapt fastest aren't learning to compete with AI — they're learning to manage it. The new entry-level job title is "AI operations coordinator" and it pays more than the old receptionist role ever did. The unemployment stat is scary but incomplete. The real question: are we replacing jobs or reshaping them?

Knocked on 10,000 doors selling roofing. You know what every small business had in common? The phone was ringing. Nobody was answering. Different industry. Different city. Same problem. That pattern is why I started building AI to fix it.

Went from $10K/year delivering pizzas to building an AI company. The failures along the way — roofing deals lost, demos that bombed, features nobody used — didn't kill me. They built the muscle. Confidence isn't knowing your next product launch will work. It's knowing that if it doesn't, you'll ship the next version by Friday.

Your entire life will change the day you realize real confidence is less about knowing you’ll win and more about knowing you’ll bounce back even if you don’t. Real confidence is resilience. Adaptability. Tolerance for uncertainty. Fear loses when you know failure is never final.

The analytics feedback loop is the key insight here. Most AI content tools just generate and forget. This iterates. We're running a similar loop for healthcare marketing — AI generates outreach, tracks responses, adjusts messaging based on what books appointments. The "AI employee" framing changes how founders think about it. Not a tool you use. An employee with a job.

i heard about a guy in a small town in england who turned his openclaw into a short form video marketing machine millions of views, steady app downloads, and revenue coming in every day i needed to find out how he was doing it 1. spin up an ai “employee” using openclaw 2. give it one job like grow your app with tiktokk 3. give it access to tiktokk analytics, a browser to research and image/video tools to create content 4. the openclaw studies your niche and starts generating slideshows and videos 5. every post feeds performance data back into the system views → hook quality downloads → CTA quality revenue → funnel quality the openclaw then iterates on - new hooks - new formats - new CTAs until it finds winners one of his posts hit 170k+ views and the system keeps improving because the analytics loop feeds back into the content generation so the agent slowly learns what works what i like about this is the framing most people think about ai tools this is different you spin up an ai employee you give it a job and let it run the loop thanks to @oliverhenry for coming on the @startupideaspod today more like this soon, i will share the most interesting stories and gatekeep nothing this episode was dripping in sauce i gotta try this and see if it works kinda wild if it does watch

Seeing this play out in healthcare right now. A voice AI system that would have cost $500K to build 18 months ago can be shipped in weeks. The result isn't fewer things to build — it's that practices that never would have had custom software suddenly can. The addressable market for software just exploded.

Here’s how this plays out. Software used to be too expensive and hard to write to automate most things. Now it’s vastly cheaper and faster to code. Thus, leverage has gone up dramatically, which means we’ll use software for far more. Leasing to more demand for engineering.

@naval "Receptionist" is going through the same evolution right now. It was a person. Then it was a person using a computer. Soon it's a computer using a computer to handle what the person used to do. Watching it happen in real time at medical practices.

A “computer” used to be a job title. Then a computer became a thing humans used. Now a computer is becoming a thing computers use.

@Codie_Sanchez What's left is trust. We build AI that answers phones for medical practices. The AI handles 80% of calls perfectly. But the 20% where a scared patient needs a human voice? That's where the value is. AI doesn't replace the human — it gives the human time to actually BE human.