Are you raising capital? Wait! You need to hear this:
Most VCs don’t give a single f* about your tech.
The entire mandate of a VC is turning 1 into 10 on a spreadsheet, that’s it, like literally. They’d rather dump millions into an aggressive, marketing-heavy narrative scams and tell the founders to “fake it till you make it,” because as long as the optics inflate the next round, they don't care who gets burned when the music stops.
Since 2023, building ARPA Corp. as a high-tier AI solutions firm, or a value shop, if you’d like, we heard the exact same parrot-tier feedback from every standard investor:
- "Services don't scale."
- "Agencies are too slow, too expensive."
- "You have to build a product."
- "Buy users. Fake the traffic if you have to, just show us the chart."
They all begged for a value chain, and why? Simply because their playbook only knows how to extract $10/mo from a bunch of random idiots funneled in by desperate ad spend.
And your code? 9 out of 10 of these “tech visionary” investors never even open the repo, as someone who worked in VCs, I’d say confidently they couldn't even read it if they tried.
Here is the brutal reality of the AI era they completely missed:
- Your SaaS is a prompt away from extinction. Any generic AI product can be vibecoded in an afternoon. You cannot vibecode a decade of cross-domain systems engineering, technical taste, high-stakes execution, or a real operational network.
- The "Product" trap is just a distribution engine for shit. Modern AI startups give away 15-20% of their equity to burn 90% of the cash on clown-tier marketing, praying for users who churn in three weeks. We don't do circus tricks for the average Joe. We solve brutal, complex operational bottlenecks for real companies with real capital.
- Guessing PMF vs. knowing ground truth. Product startups burn runway running A/B tests and surveys trying to guess what the market wants. In a value shop, you look the client in the eye and ask them where they’re bleeding, and they tell literally you directly.
- Data quality isn't even comparable. Consumer AI products collect prompt garbage about horoscope advice and weekend outfits. We process operational architectures, financial ledgers, logistics, and supply chain telemetry from actual market enterprises.
- No rigid SKUs. A product founder is forced to shove a cherry down the client’s throat because that cherry is the only thing they built. When an enterprise comes to us, we adapt on the spot: need custom models? We train them. Need episodic memory? We build the matrix. Need execution harnesses or skillware? We engineer it.
The venture treadmill: take funny money to help some random tax thief to launder cash, dilute yourself into an employee in your own company, burn it on CAC, and pray someone pays $10/month with 90% churn, while you hastefully take snapshots of the best days to present to the next investors as your core main task, instead of actually building something.
Here's the practical alternative you have as a startup: an enterprise wires $200k for a bespoke agentic cluster deployment. Zero dilution. Zero vanity metrics. Zero input from a twenty-something associate reading an outdated playbook from 2012.
>I have written about why this whole VC charade is going down, and how business models we see in China, Russia, and SEA are rising as more healthy alternatives with utility in mind, and not profit at all costs.
Most VC-backed AI plays are massive trees with hollow roots: bloated by marketing bribery and press releases, but zero structural retention underneath. Real systems look like the opposite. A young, deliberate sprout anchored by massive subterranean roots, real clients, hard operational problems, and cash flow. It doesn’t need to look gigantic on day one, as long as its foundation guarantees it won’t fall over when the hype cycle ends.
Look at OpenAI versus Temu for example. One is treated like a secular religion, gilded PR, messianic keynote speeches, and breathless media worship, yet burns billions just to keep the lights on and can’t even cover its own brutal operational compute, let alone show a genuine profit. The other is mocked on by tech snobs, dismissed as cheap, gamified trash, but silently processes billions of real transactions and prints tens of billions in raw net income.
Basically, Silicon Valley prefers a bankrupt god with good optics over a money machine with ugly packaging. That's where we are at. Literally. And don’t even get me started on Europe, proudly hopping on the VC bandwagon right when the corpse is getting buried lol, guaranteed to need another twenty years to realize they showed up late to their own funeral.
Put the rant aside, and now look at the timeline. Three years later, and the same funds who said value shops don't work, from A16Z, YC, JPM, to Eric Schmidt, Marc Cuban, you name it, and overall all the traditional Wall Street institutions are suddenly writing think pieces that go something like "Actually, specialized AI agencies and bespoke architecture are the future."
Well, no shit. 🤓
When code generation collapses the cost of building software to zero, the product wrapper is worthless, and the only defensibility left is deep domain taste, architectural ruthlessness, your actual active network (not cold calls or ads), and the ability to solve bespoke problems in their physical, digital, and commercial realities.
So, before planning your next raise, think about it, and stop begging outdated capital allocators to validate your stack. Stop building plastic toys for vanity metrics. Solve real problems for real balance sheets, and this is how you make it in 2027 and beyond. Now go!
