Product ideas from 40,000+ documented feature requests paying customers made that still do not exist. Only 1.6% are both badly wanted and simple to build, and that changes how you should choose.
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Of 40,937 documented feature gaps we scored, only 666 are both badly wanted and simple to build. That is 1.6%. Meanwhile 38.6% are badly wanted and complex. If you are searching for high demand and low effort in the same idea, you are hunting the rarest combination in the data.
Every feature gap here comes from a real review: a paying customer of a real product asking for something that does not exist. Each is scored for demand intensity and for how hard it looks to implement. Crossing those two axes produces the most useful table we have for product selection, because it shows you what is actually left.
| Demand | Build difficulty | Gaps | Total requests |
|---|---|---|---|
| High | Complex | 12,300+ | 78,000+ |
| High | Moderate | 7,400+ | 44,000+ |
| Medium | Moderate | 7,600+ | 37,000+ |
| Medium | Complex | 6,400+ | 30,000+ |
| Critical | Complex | 2,000+ | 13,000+ |
| Medium | Simple | 1,250+ | 5,600+ |
| Critical | Moderate | 820+ | 5,300+ |
| High | Simple | 509 | 2,600+ |
| Critical | Simple | 157 | 1,000+ |
Notice the shape. The two bottom rows, the ones every “easy product idea” article promises, together account for 666 of nearly 41,000 gaps. The mass of the distribution sits in high demand plus complex, which is exactly what you would predict: easy and badly wanted is a self-clearing condition, because somebody ships it and it stops being a gap. What persists is hard.
If quick wins are 1.6% of the field, speed is not your edge. Two things are.
Domain knowledge that makes complex tractable. A problem rated complex in general may be straightforward for someone who has lived in that industry. That asymmetry, not raw building speed, is the most reliable solo advantage available, and it is why the boring industry you already understand beats the exciting one you do not.
Willingness to serve a customer others avoid. A slice of a complex problem, aimed at a segment incumbents ignore, is buildable alone in a way the general version is not. Reporting is the standing example: consistently among the most-requested and least-served areas across software categories, and a narrow reporting tool for one industry is a solo project where a general analytics platform is not. See the most requested software features for the full ranking.
One correction before you build the most-requested thing. From a separate cut of 39,000+ documented complaints, missing-feature complaints carry a churn signal only 57.4% of the time, the lowest of any complaint type, while service failures carry one 98.2% of the time and pricing 93.4%.
People ask for features and then stay. So a request proves interest, not willingness to switch or pay. The requests worth weighting heavily are the ones attached to someone actually leaving. That distinction is the difference between a feature that wins a roadmap argument and a feature that wins a customer. Full table in what people pay to solve.
“Someone must have already built this. I'd happily pay for a tested solution rather than spend days reinventing the wheel.” — r/automation
For ranked lists, start with most requested software features, chrome extension ideas, internal tool ideas, and single-feature micro SaaS ideas. For the method behind feature-gap mining read how to turn G2 reviews into SaaS ideas and how to mine Capterra reviews, tools to find customer pain points, and finding ideas in negative reviews. You can also search the pain point database, browse the demand data, or read the most underserved software markets.
| Used for | Source | Limitation |
|---|---|---|
| Demand vs complexity matrix | 40,000+ scored feature gaps from software reviews | Both axes are AI-derived from review text, not engineering estimates. Complexity is judged without reference to any codebase. Read as tiers, not precise ranks. |
| Churn signal by complaint type | 39,000+ documented software complaints | Churn flags are AI-derived. Near-duplicate category labels are reported separately rather than merged. |
| Idea rejection base rate | 1,100+ researched ideas, 22,000+ judgements | Measures founder appetite at first read, not buyer intent. Panel is founder-heavy. |
| Revenue expectations | 3,700+ revenue-reporting startups | Self-reported and indie-skewed. Not matched to the specific gaps above. |
The limitation that matters most here: complexity scores come from reading what users described, not from estimating work against a real system. A gap marked simple may be simple only in the sense that the need is simple to state. Use the matrix to understand the shape of the opportunity space, and your own judgement to estimate any individual build. We also have no data on whether products built against documented gaps outperform ones that were not, because that comparison does not exist in any dataset we hold.
Start from feature requests paying customers already made that nobody shipped, because those come with the demand attached. We hold 40,000+ documented feature gaps extracted from software reviews, each scored for how badly users want it and how hard it looks to build. The uncomfortable finding: only 666 of those 40,937 scored gaps, about 1.6%, are both high or critical demand AND simple to build. Meanwhile 38.6% are badly wanted but complex or very complex. High demand and low competition genuinely coexist, but almost never together with low effort. If a list promises you all three, it has not measured any of them.
Because easy and badly wanted is a self-clearing condition. If something is simple to build and many paying customers are asking for it, somebody usually ships it, so it stops being a gap. What persists in the data is the hard stuff: 12,300+ gaps that are high demand and complex, plus 2,000+ that are critical and complex. Those survive precisely because they are difficult. The practical implication is that your edge is rarely speed. It is either domain knowledge that makes a complex problem tractable for you specifically, or willingness to serve a customer nobody else wants.
They are a good starting point and a poor stopping point, and there is a measurable reason to be careful. Across 39,000+ documented software complaints, missing-feature complaints carry a churn signal only 57.4% of the time, the lowest of any complaint type, while service failures carry one 98.2% of the time and pricing 93.4%. People ask for features and then stay anyway. So a heavily requested feature proves interest, not willingness to switch or pay. Weight requests that come attached to someone threatening to leave far more heavily than requests on their own.
Something narrow enough that complexity is a moat rather than a blocker. Given that 38.6% of documented gaps are badly wanted but complex, the solo opportunity is usually a slice of a complex problem rather than the whole thing, aimed at a customer segment the incumbents ignore. Reporting is a good example: it is consistently among the most-requested and least-served areas across software categories, and a narrow reporting tool for one industry is buildable alone in a way that a general analytics platform is not.
Enough to respect the base rate. Across 1,100+ researched ideas shown to founders and 22,000+ recorded judgements, roughly 80% were rejected outright and the median idea won over only about 14% of the founders who saw it, with only around 6% clearing majority approval. Screening ten to twenty candidates against demand evidence costs a weekend and is the cheapest risk reduction available. Note this measures founder appetite at first read rather than buyer intent, so treat it as a filter for obviously weak ideas rather than as validation.
Usually modestly, which is worth internalising before you commit six months. Across the 3,700+ startups we track that report revenue, median monthly revenue is $145, the 75th percentile is $894, and 76.4% earn under $1,000 a month. Building against a documented gap improves your odds of building something wanted; it does not change the shape of the outcome distribution. Plan for a small durable product and treat anything beyond that as upside.
Ready to find your next product idea? BigIdeasDB analyzes 1M+ real user complaints to surface validated opportunities.