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Guide · Ideas

Profitable SaaS ideas, ranked by evidence

Every "SaaS ideas" page is a list of guesses. This one is the opposite: 179 products in our library already clear $1k MRR and 93 clear $10k. Where those products sit — and how thin each category is — is a better input than anyone’s list of twenty ideas.

Revenue as of 2026-10-30 · sample: 851 products that publish revenue · 435 report a non-zero MRR

Products above $1k MRR

179

41.1% of 435 reporting

Above $10k MRR

93

the top fifth

Under $100 MRR

33.6%

the crowded end

The short answer

  • The bottom is saturated and the top is not: one third of reporting products earn under $100, one fifth earn over $10k. Both facts sit in the same sample.
  • Category counts matter more than category medians. A category with 30 products and 4 above $1k is a hobby market; one with 20 products and 9 above $1k is a market with buyers.
  • Developer tools are the thinnest: 41 products, 2 above $1k. Fewer buyers, longer evaluation, lower price tolerance.

Where the money actually sits

Sorted by how many products clear $1k MRR — not by median, which a single large product can distort.

CategoryProductsPublish MRR≥ $1k≥ $10kMedian
AI2051123213$208
Marketing4522105$649
Content Creation251582$1,667
Mobile Apps373064$67
SaaS492353$70
E-comm20744$10,397
Analytics18941$232
Education251632$84
Dev Tools411421$93
Health & Fitness191221$96

235 products have no category and are excluded here. They are still counted in every percentile on /benchmarks/mrr.

Three filters, from the data

  • High median, few products. A category where the middle product already earns well but the count is small usually means demand exists and supply is thin.
  • Cleared $1k, then flattened. Products that stop growing after their first plateau are the ones a better execution can take — the buyer is already paying someone.
  • One person above $5k. Those exist in this sample; each one proves a single operator can hold that niche without a team.

Why we do not rank ideas

A ranked list of ideas would be our guess dressed as data. The table above is the data. If you want one sentence: pick a category where buyers already pay, and narrow it until one person can own the whole workflow.

Products above $1k MRR

Fourteen products that cleared $1k, across categories. Links go to each product’s own fact page.

ProductCategoryMRRRevenue · 30d
StanUnclassified$3,570,000—
ChatbaseUnclassified$864,000$645,833
PostizUnclassified$333,000$126,667
1LookupSaaS$269,883$497,939
ReziUnclassified$241,000$246,667
KibuEducation$234,000$115,000
CometlyUnclassified$198,000$207,500
SuplifulUnclassified$179,000$968,333
AEO EngineAI$178,519$202,776
ProspUnclassified$128,000—
Windmill GrowthMarketing$117,000$105,000
CodédexUnclassified$81,600$73,667
SupergrowSocial Media$79,500—
LLM GatewayUnclassified$78,800$83,250

Questions people actually search

Profitable SaaS ideas?

We do not sell ideas. What we can show: 179 products in the library clear $1k MRR, and their category mix (AI, marketing, mobile, SaaS tooling) is where the counts are. A category with many products above $1k is evidence that buyers exist, not that your version will sell.

SaaS ideas for developers?

Developer tools are the thinnest category in our sample: 41 products, but only 2 above $1k MRR. Fewer buyers, longer evaluation cycles, lower price tolerance.

How to come up with SaaS ideas?

Three filters we actually use on this data: (1) categories where the median is high but the product count is low; (2) products that cleared $1k and then flattened, which is what a better execution would target; (3) one-person products above $5k, which prove a single operator can hold that niche.

Are SaaS ideas saturated?

The bottom of the market is saturated — 33.6% of reporting products earn under $100. But 93 products clear $10k, so the top is not full. Both statements are true at once, which is why "is it saturated" is the wrong question.

Method: 851 products in our library that publish revenue through a payment provider, crawled 2026-10-30. 435 of them report a non-zero MRR; medians and percentiles are computed on that subset only. Missing values are never treated as zero. This is the population that chooses to publish revenue — not the whole market.

Full method and limits