Three ideas that share one signal: real demand, weak competition, and a window that won't stay open.
There's a pattern that keeps showing up in markets that eventually produce good indie businesses. It's not about timing a trend perfectly or building something technically impressive. It's simpler than that: go where the need is obvious, the frustration is documented, and the existing solutions are either absent or embarrassingly bad.
I've been calling this the underserved market pattern. The signal looks like this: a specific group of people has a specific problem, they're actively complaining about it in public, and the tools that supposedly serve them are either too broad to care or too slow to act. There's usually a dominant player somewhere in the vicinity who could solve it but has reasons not to. And the people with the problem have money, or work for someone who does.
Three ideas illustrate this pattern well right now. They're in different spaces, they attract different customers, and they have different risk profiles. But they share the same underlying shape.
When you see this pattern in the wild, it usually comes with a few consistent markers.
First, you can find the demand without doing research. People are posting about it. Engineers are complaining in subreddits. Product reviews on G2 say the same things over and over. You don't need a market research report when there's a 1,100-upvote thread of people venting about the exact problem you're trying to solve.
Second, the existing tools are adjacent, not direct. Postman is close to what API debuggers need. Snyk is in the neighborhood of LLM code compliance. Generic sandbox vendors sort of handle browser extension security. But close isn't the same as solved, and "you can kind of do this with three other tools stitched together" is not a product.
Third, the gap exists for reasons that make sense. Not because nobody noticed, but because the incentives of large players point away from filling it. GitHub has reasons to keep LLM code provenance murky. Google has reasons not to aggressively sandbox their own extension ecosystem. Postman is busy being a platform, not a debugger. These aren't failures, they're strategic choices, and strategic choices by incumbents are how gaps stay open long enough for someone else to walk through.
The LLM-Audit — Provenance, Explainability & Compliance for Generated Code idea is the most complex of the three, and the most expensive to get wrong.
The problem is real in a way that's hard to overstate. Regulated industries, finance, healthcare, government, are adopting GitHub Copilot and similar tools at exactly the moment their compliance teams are being asked to audit everything. And right now, when an auditor asks "how do we trace this AI-generated code back to its sources and prove it doesn't have license conflicts or security vulnerabilities?", the answer is essentially: we can't.
That's not a niche problem. That's a procurement blocker.
The market signal here is that the people who need this aren't technical edge cases. They're compliance leads and AppSec engineers at companies that have already bought Copilot enterprise licenses. They have budget. They have a mandate. They lack a tool.
Where I get complicated feelings about this one: the fatal flaws are real. GitHub can close the API surface. Enterprise procurement requires SOC 2 certifications that take 18 months to get. The sales cycle is brutal because the engineering team that deployed Copilot has every incentive to resist the compliance team's oversight tool. You're selling to two buyers who are sometimes in active conflict with each other.
But here's what makes it fit the underserved pattern anyway: GitHub has structural incentives not to build this themselves. Surfacing clear provenance and license attribution creates liability for Microsoft. A third-party compliance layer isn't just a nice market to fill, it's close to a structural necessity. That's a different kind of defensibility than "we got here first."
The validation path matters more for this one than the others. Don't build the platform. Build a manual audit report, find five AppSec engineers at financial services firms on LinkedIn, and see if any of them will pay $2,000 for a flat-fee pilot. That test tells you more than any market analysis.
The Visual API Flow Debugger & Runtime Inspector idea is the cleanest example of the pattern.
The demand signal is a Reddit thread with over 1,100 upvotes. Engineers who lost access to Postman's free tier went looking for alternatives and discovered that nothing else debugs multi-step API flows properly. Not Insomnia, not Bruno, not Hoppscotch. These tools handle single requests fine. Chained calls with conditional logic, where step three fails because of something that happened in step one, and you need to trace exactly what got passed? You're back to staring at logs.
IDEs solved this problem for code twenty years ago. Breakpoints. Step-through execution. Inspect state at any point. Replay a specific call without re-running the whole chain. The mental model is obvious once you see it applied to API workflows. It just doesn't exist yet in any tool with meaningful adoption.
The underserved signal here is almost textbook: a large incumbent (Postman, with $402M in funding) has an adjacent product (Postman Flows) that is, according to its own G2 reviews, clunky and not debugger-oriented. They have the users, the brand, and the distribution. They don't have the product.
The honest risk is that they're also twelve engineers away from having it. That's not theoretical, it's a product decision they could make in a single planning cycle. If you're building this, you're not betting that Postman can't build it. You're betting they won't prioritize it fast enough, and that you can accumulate enough run history, flakiness data, and CI/CD integration depth that switching becomes painful before they do.
That's a real bet, but it's a time-bounded one. The window probably isn't five years. It might be eighteen months.
The distribution angle is genuinely good though. VS Code Marketplace is one of the few channels in developer tools where organic discovery is still cheap. Submitting an extension and showing up in search results for "API debugging" costs nothing. Conversion from install to paid runs around 1-3% historically for dev tools extensions, which means 10,000 installs to get 100-300 paying users. That's achievable. It's just slow.
The Dynamic Extension Vetting Sandbox idea sits in a narrower market than the other two, but the problem is viscerally concrete.
260,000 installs of browser extensions that were secretly scraping Gmail. Security engineers in the thread about it explicitly said: "there's no good way to catch this before rollout." That's the unfair insight the idea identifies, and it's accurate. Static analysis checks what's in the manifest and the packaged code. It doesn't catch behavior that's loaded from a remote server after the extension is already installed and trusted.
The underserved signal here is structural. Google's extension review process is, charitably, insufficient. The security tools that exist, CRXcavator, crxaminator, cover static analysis. General sandbox vendors like Any.Run handle executables and web apps, not the specific internals of Chrome's extension architecture. Nobody has built the dynamic behavioral sandbox for this space specifically.
The reason is probably economic. It's a medium-sized market. Enterprise security teams at mid-market SaaS companies are the buyers. CrowdStrike already sells to those teams and has a browser extension feature that's admittedly weak but costs nothing marginal to deploy. Winning against that isn't about being technically better, it's about being substantially better in a way that matters enough to justify a separate budget line.
The evasion problem is the one that deserves the most honest acknowledgment. A sophisticated threat actor will fingerprint a headless Chromium environment and behave perfectly until it's running on a real user's machine. The tool catches opportunistic malware, not nation-state attacks. That's a real limitation and it has to be disclosed in every report, because one high-profile miss where an extension "passed" and then exfiltrated data would destroy the product's credibility.
But opportunistic malware is still most of the threat volume. And the security engineers who discovered the 260k-install incident are already looking for something like this. That's as close to pre-qualified demand as you get.
The underserved market pattern isn't about finding spaces where nobody has looked. It's about finding spaces where the large players have looked and made a deliberate decision not to go there, because the incentives point elsewhere or the market is too small to matter to them.
All three of these ideas share that quality. GitHub doesn't want to surface LLM code provenance. Postman wants to be a platform, not a debugger. Google's extension review process reflects resource allocation decisions, not ignorance of the problem.
The flip side is that "underserved" doesn't mean "safe." Vulnerable is the honest survival verdict for all three of these, and that's accurate. The competition isn't dead, it's just distracted. The window exists because of specific circumstances that could change.
So the playbook isn't "build fast and relax." It's validate before you build, get to revenue before the window closes, and accumulate the kind of switching costs (data, integrations, workflow habits) that make you sticky enough to survive when the incumbent eventually shows up.
None of these ideas are guaranteed. But the demand is real, the gap is documented, and the people with the problem are findable. That's more than most ideas have going for them.