Three ideas in crowded spaces that have real openings — and why that's the pattern worth paying attention to.
There's a piece of advice that gets repeated so often it's basically become ambient noise: avoid competitive markets. Find a blue ocean. Go where nobody else is.
I think that advice is mostly wrong, or at least it's incomplete in a way that costs people real opportunities.
The three ideas I want to talk about today all sit in markets with existing players. Some of those players are funded. Some have been around for years. And yet each of these ideas has a genuine opening that the incumbents have left sitting there, apparently by accident. That's the pattern. Not "find an empty market" but "find a market where the existing players have systematically ignored one thing that actually matters."
Let me show you what I mean.
Start with AI SQL Safety & Optimization Auditor. The space has SQLFluff, dbt tests, Monte Carlo, Bigeye. On paper, SQL quality tooling is covered. In practice, none of those tools were built with AI-generated SQL in mind, and that distinction matters more than it sounds.
SQLFluff does style linting. Monte Carlo does post-execution data quality monitoring. Neither one answers the question that analytics teams are now actually asking: "Is this query that GPT-4 just wrote for me going to scan 2TB and bill my client $800?" That's a new question. It arrived with the LLM era. The existing tools weren't designed around it, and retrofitting that into an observability platform or a linter is awkward enough that nobody has done it well yet.
The signal here isn't "this market is empty." The signal is that the market moved and the incumbents are slow to follow, because following requires them to admit that AI-generated SQL is now a first-class concern rather than a novelty.
Same story with Elder Financial Risk Monitor & Alerts. Credit Karma, Experian, EverSafe — they all do pieces of financial monitoring. But they built their products around the individual as the primary user. The elderly parent opens the app. The elderly parent sees the alert. That model breaks completely when cognitive decline means the person who needs protection is the least likely to act on a notification.
The actual customer here is the adult child. The worried 45-year-old who discovered their father had missed three mortgage payments and invested $12,000 in Iraqi dinar. No existing product is built for that person's workflow. The property tax delinquency data is public. The Plaid integration exists. The pieces are there. Someone just hasn't assembled them with the caregiver as the primary user instead of an afterthought.
And then there's Tele Prenatal & Pelvic Floor Therapy Marketplace. Hinge Health and Sword Health are real companies with real money. But they went after the employer benefits channel with a musculoskeletal focus. Prenatal pelvic floor care is a different specialty, a different buyer, and a different distribution path. Origin exists and has $12M in funding, which I won't pretend isn't a real concern. But Origin is a clinic. This idea is a marketplace. Those are different businesses with different supply dynamics, and the referral workflow from OBs is genuinely unsolved in a way that a clinic model can't easily fix.
In all three cases, the incumbents are real but they're solving adjacent problems. The gap isn't imaginary — it's structural.
When a market is completely empty, you have to ask why. Sometimes it's because you've found something genuinely new. More often it's because the market isn't there.
When a market has players but still has underserved pockets, that's often because the existing players made a bet on a particular customer segment or a particular workflow and optimized hard for it. That focus is what made them successful. It's also what created the gap.
Data observability companies focused on post-execution monitoring because that's where enterprise buyers had budget and urgency. They weren't wrong — that was the right call in 2019. It just means they're not positioned to own the pre-execution validation story in 2025, when the threat model has changed.
Financial monitoring apps focused on the account holder because that's the natural user. Makes sense. Except for the entire eldercare demographic where that assumption fails.
Telehealth PT platforms focused on employer channels because that's where the recurring revenue and low CAC was. Smart move. Also means prenatal, which doesn't fit the employer benefit model cleanly, got left behind.
None of these are mistakes. They're just prioritization decisions that created openings.
The practical implication is that you should be suspicious of both extremes. A market with zero competition is a yellow flag. A market dominated by well-funded incumbents solving exactly your problem is a real problem. But a market with established players who have a blind spot? That's worth a closer look.
The question to ask is: who did the incumbents implicitly deprioritize? Not who did they ignore entirely — usually there's a reason for that — but who got treated as a secondary persona, an edge case, a "later" feature?
For the SQL auditor, it's the analytics team using AI tools today, not the enterprise data governance team with a six-month procurement cycle.
For the elder monitor, it's the adult child, not the elderly person themselves.
For the prenatal PT marketplace, it's the OB referral workflow, not the patient who already knows what telehealth is and how to find a provider.
These are all real people with real pain who are currently being served badly or not at all, even though adjacent products exist.
I want to be straight with you about something, because this pattern can also be used to talk yourself into bad ideas.
All three of these ideas have real risks. The SQL auditor is racing against Snowflake's own roadmap — if Cortex ships native pre-execution cost warnings this year, the core value prop takes a hit. The elder monitor has genuinely painful engineering in the county records scraping layer, and ATTOM data licensing is expensive. The prenatal marketplace has Origin as a funded competitor and state PT licensing rules that will make true national scale slower than the pitch deck implies.
The "competitive market with a gap" pattern is a signal, not a guarantee. It tells you the demand is probably real, since related products have found customers. It tells you the distribution channels probably exist. It tells you you're not building into a void.
But you still have to move faster than the incumbent can copy the feature, which means you need to pick gaps that are structural — rooted in the incumbent's business model or customer focus — rather than gaps that are just "they haven't gotten to it yet." Those close fast.
The gaps I've described here are mostly structural. Snowflake has a financial incentive to help you run more queries, not fewer — that's not perfectly aligned with being your cost watchdog. Credit monitoring companies are built for the account holder, and reorienting around a third-party caregiver is a product rethink, not a feature add. Employer-channel telehealth PT companies are optimized for B2B sales cycles, not OB office referral partnerships.
Structural gaps stay open longer. They're the ones worth building for.
So if you're sitting on an idea right now and your first instinct was to dismiss it because someone else is in the space — it might be worth a second look. The right question isn't "does competition exist" but "has the competition actually solved the specific problem for the specific person I'm building for."
Usually, the honest answer is: not quite.