Six dimensions, calibrated thresholds from 3,100+ real scored opportunities, and a decision rule that tells you when to stop.
A SaaS opportunity score rates an idea from 1 to 10 across six dimensions: pain severity, willingness to pay, competition level, MVP simplicity, marketing difficulty and acquisition potential. The point is not the number. The point is that scoring each dimension separately stops one exciting attribute from hiding five fatal ones.
Score 8 or above and build. Score 5 to 8 and validate first. Score under 5 and drop it. Those thresholds are calibrated against 3,100+ real scored software opportunities, where the average overall score is 5.2 out of 10, only about 3% clear 8, and roughly 56% fall under 5. If your own idea keeps scoring 9, your scoring is broken, not your idea. Snapshot as of August 2026.
Score each dimension 1 to 10, then take the average. Four of these six map directly onto dimensions we score across our own opportunity database, so the benchmark column is measured rather than asserted.
| Dimension | Question it answers | Real average | Score 8+ when |
|---|---|---|---|
| Pain severity | How badly does this hurt? | 4.2 | People pay for ugly workarounds today |
| Willingness to pay | Is there budget attached? | 4.9 (demand proxy) | The sufferer controls a budget line |
| Competition level | Is the gap real? | 5.7 | Incumbents exist but all miss the same thing |
| MVP simplicity | Can you ship v1 alone? | 4.8 | Useful in under 6 weeks, no exotic integrations |
| Marketing difficulty | Can you reach them? | Not directly scored | The audience gathers somewhere you can post |
| Acquisition potential | Is there an exit? | Not directly scored | Adjacent players buy in this category already |
| Overall | Build or not | 5.2 | Roughly 3% of ideas |
Scoring frameworks fail when nobody calibrates them. Everyone rates their own idea 8 or 9 because they have no reference distribution. Here is ours, from real documented opportunities rather than pitches.
| Score band | Share of ideas | What to do |
|---|---|---|
| 8 to 10 | ~3% | Build. This is genuinely rare. |
| 7 to 8 | ~9% | Run a two week validation sprint, then decide. |
| 5 to 7 | ~32% | The crowded middle. Attack the weakest dimension. |
| Under 5 | ~56% | Drop it. Your time is the scarce asset. |
Over half of all documented software gaps score under 5. That is the single most useful fact on this page, because it means a mediocre score is the expected outcome, not a sign you researched badly. See the most underserved software markets for where the higher scores actually cluster, and niche opportunities by industry for the category breakdown.
Score 8+ when people already pay for an ugly workaround. That is the cleanest test. A spreadsheet maintained by a human, a contractor doing manual data entry, or a hated tool nobody cancels all indicate real severity.
Pain intensity is the lowest scoring dimension in our data at about 4.2 out of 10. Most complaints are irritation rather than agony, and irritation does not open wallets. Look for this shape:
"I need to convert about 6 months of PDF invoices to LEDES files. Does anyone know of a tool that can automate this? I've done some regex-based approaches but always end up with multiple problems." via r/LegalTech
Named format, named volume, a failed do-it-yourself attempt. That is an 8. Compare to "wish this app was faster", which is a 3. Search your own idea in the complaints browser before assigning a number, or read business pain points in 2026 and finding SaaS ideas from real pain points.
Score 8+ only when the person feeling the pain controls a budget. This is the dimension with no workaround, and the one founders inflate most.
The trap is the split between sufferer and buyer. An overworked junior employee feels the pain intensely and cannot approve $50 a month. Their manager can, and does not feel the pain. B2B ideas die here constantly.
"Monitoring performance metrics, comparing channel effectiveness, and generating client reports was an absolute nightmare of scattered data." via r/automation
Client reporting is billable work, so the pain and the budget sit with the same person. That scores high. Check whether anyone monetises the fix using revenue intelligence, and read revenue benchmarks by category for what categories actually earn. Median MRR across startups with verified revenue sits under $150 while the mean is near $4,300, so assume the median unless you have evidence otherwise.
Score 8+ when incumbents exist but all miss the same specific thing. An empty market is usually a dead market, not an open one.
Competitive gap is our highest scoring dimension at about 5.7. Room in the market is the common case. The mistake is treating "no competitors" as a 10 when it usually means nobody pays. Competitors validate the market. See low competition SaaS ideas and turning G2 reviews into SaaS ideas for finding the shared blind spot.
Score 8+ when a solo developer ships something useful in under six weeks. Feasibility averages about 4.8 in our data, and the recurring killer is integration surface, not algorithmic difficulty.
Every third party API you require multiplies auth work, rate limits, breaking changes and support load. Ideas that need five integrations to be useful at all score 2, however simple the core logic looks. See single feature micro SaaS ideas and micro SaaS examples for the shape that ships, plus simple SaaS ideas for solo developers.
Score 8+ when your audience already gathers somewhere you can reach without paying. A named subreddit, a forum, a conference, a directory.
We do not score this dimension directly in the database, so treat it as judgement. The practical test: name the exact place you will post on launch day. If you cannot name it, score 3. We mine 170+ subreddits precisely because reachable audiences leave visible trails. See finding business ideas on Reddit and the Reddit sourcing guide.
Score 8+ when adjacent players already buy companies in this category. Acquisition is the most speculative dimension, so weight it least early on.
Signals that raise it: the category has strategic buyers, your data or integrations would be expensive to rebuild, and comparable deals exist. Signals that lower it: you compete directly with a giant, or your only asset is code anyone could rewrite. See how to find SaaS acquisition targets and SaaS valuation multiples.
Do not score from memory. Check the pain against 1M+ real complaints first.
Average the six dimensions, then apply two overrides. The overrides matter more than the average.
The reason to write scores down is that it makes you argue with yourself in writing, which is harder to fake than a gut feeling. For the full workflow see how to validate a startup idea, multi-signal validation, and the idea evaluator guide.
The benchmark numbers come from a live query against our opportunity database on the verification date. Four of the six rubric dimensions map onto dimensions we score directly. Two do not, and we have labelled them as judgement rather than inventing a benchmark.
| Input | Scale | Evidence type | Limitation |
|---|---|---|---|
| Opportunity scores | 3,100+ scored | Structured gap analysis from B2B reviews | Model generated. Consistent, but not ground truth. |
| Complaint corpus | 1M+ complaints | Reddit, G2, Capterra, app stores | Skews technical and Western. Complainers are not always buyers. |
| Verified revenue | 3,700+ startups | Self-reported and verified MRR | Survivorship bias. Failures stop reporting. |
| Marketing and acquisition | Not scored | Analyst judgement | No benchmark exists. Treat these two as opinion. |
The honest limitation of any rubric: it measures what it can see. A score is a prioritisation aid for deciding what to investigate next, not a prediction of outcome. Scoring cannot substitute for talking to five people who have the problem, and a high score on a badly framed idea is still a badly framed idea.
A rating from 1 to 10 across six dimensions: pain severity, willingness to pay, competition level, MVP simplicity, marketing difficulty and acquisition potential. Scoring each separately stops one strong attribute from masking several fatal ones.
Calibrated against 3,100+ real opportunities: 8+ is genuinely strong and describes about 3% of documented gaps. 7 to 8 warrants a validation sprint, roughly 9%. 5 to 7 is the crowded middle. Under 5 should be dropped, and about 56% land there.
Willingness to pay, because it has no workaround. Severe pain with no budget is a hobby. In our data pain intensity averages about 4.2 while competitive gap averages 5.7, so most markets have room but the pain is mild, and mild pain rarely converts to spend.
Not yet. A 6 is plausible but unproven, which is where most ideas sit. Find your lowest scoring dimension and design a cheap test that attacks it directly, because that dimension is what will kill the product if you skip it.
Consistently, yes. Accurately on its own, no, because a language model infers plausibility rather than measuring demand. Scoring gets reliable when the model is handed evidence: real complaints proving the pain, competitor data proving the gap, and revenue data proving comparable companies earn. Score against the complaint database, not from the prompt alone.
BigIdeasDB Research. (2026). SaaS Opportunity Score: Rate Any Idea 1-10 (Build or Not). BigIdeasDB. Retrieved from https://bigideasdb.com/saas-opportunity-score