Over the past few months in our monthly meetings with startups, we've noticed something interesting: demos are getting faster. A feature that used to take a quarter now shows up finished by the next monthly meeting — AI has made "building things" easier than ever. But another number hasn't kept up: orders aren't closing any faster. More things get built. Not more things get sold. That gap is worth every founder's pause.

As a venture capitalist, one of the most common misconceptions I encounter is the assumption that starting a business automatically makes it a venture capital opportunity. After all, venture capital has the word “venture” in it. So people naturally ask me: “My wife and I are quitting our jobs to open a traditional dessert shop. Would you invest in us?” “I used to run sales at a company in this industry. Now I’m starting a similar business myself. I already know the market—wo

Markets have been highly volatile recently. Some startups spend years working toward a successful IPO, only to see their share prices peak shortly after listing. Many people ask: “Isn’t the company still growing?” “Isn’t the industry highly promising?” “If the company has successfully gone public, shouldn’t its early investors have made substantial returns?” The reality is: A successful IPO does not mean that investors in every funding round will make money.

Why doesn't the team with the best technology always win the market? After years of looking at deals, I've become increasingly certain of one thing: the most expensive misunderstanding founders have is treating market entry as a product problem. We're conditioned to believe that "if the product is good enough, it will sell itself." It sounds right, and it matches the engineer's instinct — build the best thing, and the market will respond.

In VENTURE+’s monthly meetings with startups and in our business visits with corporates and partners, we have been watching two sides of the same change. On the startup side, pitch decks have become visibly more polished, demos smoother, and pitches more complete: AI has upgraded every team’s storefront. On the enterprise side, however, the room has not warmed up accordingly: decisions are no faster, the door is no easier to open, and some founders feel it has become harder t

In this era, most people chase buzz. Whether it's engagement on Instagram and Threads, or views on YouTube, social buzz captures the most attention — and it has become the thing most founders care about most. But buzz is not the same as strength. Buzz arrives fast and fades fast. A single post or video can peak within days, and get replaced by the next trending topic just as quickly. Only what settles and stays converts into strength.

For the past 30 years, software companies could "sell and walk away"—whether the customer used it well was their problem. In the AI era, you and your customer are no longer seller and buyer—you are two gears on the same flywheel. When one stops, the other can't keep turning either. Over the past few months, as VENTURE+ has been observing vertical AI, we noticed a clear dividing line: some companies start to "fly," others stay in place.

In VENTURE+'s monthly conversations with startups, one theme has been recurring: companies that grew up on PLG stall when they begin pursuing enterprise customers. Security reviews, custom quotes, procurement processes: every step is harder than expected. More notably, most founders assume beforehand that enterprise is simply an extension of the existing growth path: the same work, just with bigger ticket sizes.

Many founders have customers — yet every deal feels like a grind: long sales cycles, constant complaints, relentless price pressure, and problems that keep surfacing after the contract is signed. Their first instinct is "the product needs more work" or "the sales team needs to push harder." But the real problem sits further upstream — they opened the wrong door from the very beginning.

Everyone knows the story of the tortoise and the hare. Most people remember it this way: the hare was fast but lost due to arrogance, laziness, and oversleeping — while the tortoise, slow and steady, kept moving and won. The usual takeaway: never underestimate your opponent, and hard work comes first.

For the past 30 years, software companies have been benchmarking themselves against "IT spending." Global IT spending sits at roughly 1% of GDP—about $5 trillion. Every SaaS valuation model, TAM slide, and market analysis is built on this denominator. When investors see a deck claim "our TAM is $30B" or "we target X% of the IT budget," they automatically anchor to this framework. But vertical AI is rewriting one thing: what should actually be displaced is not the "software bu

More and more companies are posting impressive results lately. Revenue is climbing steadily, gross margins are improving, and ARPU (average revenue per user) is rising month after month. If you only look at these three numbers, you’d conclude these companies are in the best shape they’ve ever been. But when we decompose the numbers, the picture changes entirely. Net new customer or user additions have been flat for months — some are even trending slightly downward. Nearly all

Great founders share one habit: a weekly call with customers. Not chitchat—pain points, value checks, raw truth. Those calls compound, and they show up at the moments that matter most in fundraising. While investors are still flipping through your deck, the best founders have already brought a customer into the room and let the market speak for itself. One phone call beats 50 pages of slides. Because real closes come from customers, not from founders. In 2026, when AI makes e

You use AI to improve output. Others use AI to reshape how decisions are made. With the same tools and the same subscription cost, the difference in output between two founders after a year can be so large that it makes you question whether they are even operating on the same level of AI capability. At VENTURE+, after observing how startups have adopted AI over the past two years, we have identified a clear dividing line: the founders who use AI most effectively are not neces

Focus, Replication, Scale — The Shared Code of Great Companies 1. The Biggest Flaw of Smart People: Seeing Too Many Opportunities Entrepreneurs are usually very smart. And smart people share a common flaw — they see too many opportunities at once. Have you ever met a founder like this? The first slide of their pitch deck says:“We’re building a B2B SaaS and a consumer app. In the future, we’ll expand into Southeast Asia. Oh, and we’re also exploring AI…” By the third slide, ea

There used to be a type of startup called a "slide deck company." A polished deck. A market that sounded enormous. A founding team from the right universities. That was enough. Money came in, valuations went up, and the story kept going. Capital cost almost nothing. Investor FOMO was the strongest force in the market. That era is over. 1. The Q1 2026 Numbers Tell a Brutal Story Global startup funding broke all records in the first quarter of 2026, approaching $300 billion. On

Staying in close, daily contact with SaaS companies is part of what VENTURE+ does. Over the past year, we have repeatedly heard a common signal in these conversations: engineers that used to be nearly impossible to hire are now becoming available. Not because the market has deteriorated, but because demand itself is shifting. More and more companies are finding that when someone leaves, the position doesn't need to be refilled. It's not deliberate layoffs. AI tools have taken

The most common form of humility among founders tends to show up around pricing. "I don't dare charge too much — I'm afraid of scaring customers away." "I'll price it close to what competitors charge and adjust later." We hear these two sentences from founders all the time. Yet it is precisely this kind of "humility" that is quietly eroding a company's competitive edge. Pricing is a weapon you use almost every day — and almost never design with intention. It determines what k

We have observed many outstanding entrepreneurs, but they generally fall into two categories: The 60-point founders and the 90-point founders. Both types manage to survive. However, when it comes to revenue scale, profitability, and capital outcomes, the gap is rarely just 10–30%—it is often 10 to 1,000 times. The reason is that entrepreneurship is not a test of a single skill, but the product of three core capabilities:

Do your customers stay because they like using your product — or because they can’t leave? The difference between these two answers can determine your company’s future. In 2026, as AI technology rapidly advances, a harsh reality is becoming clear: features are no longer a moat. A startup that once needed two years to build a core feature set may now see it replicated in six weeks — or even less with AI-assisted development.Through VENTURE+’s observation of SaaS companies acro