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Find profitable SaaS niches using real startup revenue data

Discover which SaaS markets are growing, what founders are earning, and where the best opportunities are backed by verified TrustMRR revenue data.

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32+niches tracked

TrustMRRverified data source

Livelinks to startup pages

Up to 20pages fetched per niche

Why Use NicheMRR

Ranked Niche Opportunities

Instead of browsing startup by startup, see which categories combine real revenue with lighter competition.

Game 1

Build a niche from startup inputs

Edit MRR, growth, and sale status. Add or remove startups to manage the niche.

Startup A

MRR ($)

Growth 30d (%)

Startup B

MRR ($)

Growth 30d (%)

Startup C

MRR ($)

Growth 30d (%)

Startup D

MRR ($)

Growth 30d (%)

Startup E

MRR ($)

Growth 30d (%)

Startup F

MRR ($)

Growth 30d (%)

Startup G

MRR ($)

Growth 30d (%)

Startup H

MRR ($)

Growth 30d (%)

Startup I

MRR ($)

Growth 30d (%)

Startup J

MRR ($)

Growth 30d (%)

Startup count10

Total MRR$44.2k

Average MRR$4.4k

Median MRR$4.2k

Average growth 30d+10.3%

For-sale ratio40%

Top 3 MRR share51%

Startups for sale4

Formula highlights: medianMrr = median(mrr > 0) | forSaleRatio = startupsForSale / startupCount | top3MrrShare = top3Mrr / totalMrr

Game 2

Confidence multiplier

Move sample size and watch the confidence penalty and confidence band update.

Startup sample size: 11

Confidence multiplier0.90

Confidence bandmedium

Rule<5: 0.65 | 5-9: 0.80 | 10-14: 0.90 | 15+: 1.00

Impact10% score penalty

Game 3

Opportunity score formula

These sliders represent normalized factor scores (0-100). The formula computes raw score then applies confidence.

Median MRR score: 68

Growth score: 56

Total MRR score: 61

Competition advantage score: 64

For-sale ratio score: 42

Sample size for confidence: 11

Weighted median piece0.238

Weighted growth piece0.112

Weighted total MRR piece0.122

Weighted crowding piece0.096

Weighted for-sale piece0.042

Raw score61.0

Confidence multiplier0.90

Final opportunity score55

score = 0.35*median + 0.20*growth + 0.20*total + 0.15*competition + 0.10*forSale final = round(score * 100 * confidenceMultiplier)

Game 4

Score delta (7d)

Set a previous score and current score to simulate 7d/30d direction and movement.

Previous scoreCurrent scoreWindow days

Delta+8.0

Directionup

Formuladelta = current - previous = 66 - 58

Statusimproving

$10k MRR challenge

Simulate your path to $10k MRR using the same benchmark estimator logic used in NICHEMRR.

Startup age: 6 mo

1mo6mo1yr2yr3yr4yr5yr

Current MRR ($): $2.2k

MMG / mo ($): $430

Niche median MRR ($): $4.3k

Niche top quartile ($): $9.6k

Median ARPU ($): $62

ARPU override (optional): —

Sample size: 14

User growth / mo$367

Blended growth / mo$389

Months to $10k20.1

Total months26.1

Target date2027-11-18

Confidencelow

Current percentile25.6 (26th percentile)

Months to niche median5.4

Months to top quartile19.0

Effective ARPU$62

Customers for median70

Customers for top quartile155

userGrowth = currentMrr / startupAgeMonthsblendedGrowth = userGrowth*0.65 + marketMedianGrowthPerMonth*0.35monthsTo10k = max(0, (10000-currentMrr)/blendedGrowth)

Game 1

Build a niche from startup inputs

Edit MRR, growth, and sale status. Add or remove startups to manage the niche.

Startup A

MRR ($)

Growth 30d (%)

Startup B

MRR ($)

Growth 30d (%)

Startup C

MRR ($)

Growth 30d (%)

Startup D

MRR ($)

Growth 30d (%)

Startup E

MRR ($)

Growth 30d (%)

Startup F

MRR ($)

Growth 30d (%)

Startup G

MRR ($)

Growth 30d (%)

Startup H

MRR ($)

Growth 30d (%)

Startup I

MRR ($)

Growth 30d (%)

Startup J

MRR ($)

Growth 30d (%)

Startup count10

Total MRR$44.2k

Average MRR$4.4k

Median MRR$4.2k

Average growth 30d+10.3%

For-sale ratio40%

Top 3 MRR share51%

Startups for sale4

Formula highlights: medianMrr = median(mrr > 0) | forSaleRatio = startupsForSale / startupCount | top3MrrShare = top3Mrr / totalMrr

Game 2

Confidence multiplier

Move sample size and watch the confidence penalty and confidence band update.

Startup sample size: 11

Confidence multiplier0.90

Confidence bandmedium

Rule<5: 0.65 | 5-9: 0.80 | 10-14: 0.90 | 15+: 1.00

Impact10% score penalty

Game 3

Opportunity score formula

These sliders represent normalized factor scores (0-100). The formula computes raw score then applies confidence.

Median MRR score: 68

Growth score: 56

Total MRR score: 61

Competition advantage score: 64

For-sale ratio score: 42

Sample size for confidence: 11

Weighted median piece0.238

Weighted growth piece0.112

Weighted total MRR piece0.122

Weighted crowding piece0.096

Weighted for-sale piece0.042

Raw score61.0

Confidence multiplier0.90

Final opportunity score55

score = 0.35*median + 0.20*growth + 0.20*total + 0.15*competition + 0.10*forSale final = round(score * 100 * confidenceMultiplier)

Game 4

Score delta (7d)

Set a previous score and current score to simulate 7d/30d direction and movement.

Previous scoreCurrent scoreWindow days

Delta+8.0

Directionup

Formuladelta = current - previous = 66 - 58

Statusimproving

$10k MRR challenge

Simulate your path to $10k MRR using the same benchmark estimator logic used in NICHEMRR.

Startup age: 6 mo

1mo6mo1yr2yr3yr4yr5yr

Current MRR ($): $2.2k

MMG / mo ($): $430

Niche median MRR ($): $4.3k

Niche top quartile ($): $9.6k

Median ARPU ($): $62

ARPU override (optional): —

Sample size: 14

User growth / mo$367

Blended growth / mo$389

Months to $10k20.1

Total months26.1

Target date2027-11-18

Confidencelow

Current percentile25.6 (26th percentile)

Months to niche median5.4

Months to top quartile19.0

Effective ARPU$62

Customers for median70

Customers for top quartile155

userGrowth = currentMrr / startupAgeMonthsblendedGrowth = userGrowth*0.65 + marketMedianGrowthPerMonth*0.35monthsTo10k = max(0, (10000-currentMrr)/blendedGrowth)

Verified Market Benchmarks

Use TrustMRR-backed MRR, revenue, growth, and sale data to understand how strong a niche really is.

Startup-Level Drill-Down

Open any niche and inspect the startups driving it, with links back to their TrustMRR pages.

Game 1

Build a niche from startup inputs

Edit MRR, growth, and sale status. Add or remove startups to manage the niche.

Startup A

MRR ($)

Growth 30d (%)

Startup B

MRR ($)

Growth 30d (%)

Startup C

MRR ($)

Growth 30d (%)

Startup D

MRR ($)

Growth 30d (%)

Startup E

MRR ($)

Growth 30d (%)

Startup F

MRR ($)

Growth 30d (%)

Startup G

MRR ($)

Growth 30d (%)

Startup H

MRR ($)

Growth 30d (%)

Startup I

MRR ($)

Growth 30d (%)

Startup J

MRR ($)

Growth 30d (%)

Startup count10

Total MRR$44.2k

Average MRR$4.4k

Median MRR$4.2k

Average growth 30d+10.3%

For-sale ratio40%

Top 3 MRR share51%

Startups for sale4

Formula highlights: medianMrr = median(mrr > 0) | forSaleRatio = startupsForSale / startupCount | top3MrrShare = top3Mrr / totalMrr

Game 2

Confidence multiplier

Move sample size and watch the confidence penalty and confidence band update.

Startup sample size: 11

Confidence multiplier0.90

Confidence bandmedium

Rule<5: 0.65 | 5-9: 0.80 | 10-14: 0.90 | 15+: 1.00

Impact10% score penalty

Game 3

Opportunity score formula

These sliders represent normalized factor scores (0-100). The formula computes raw score then applies confidence.

Median MRR score: 68

Growth score: 56

Total MRR score: 61

Competition advantage score: 64

For-sale ratio score: 42

Sample size for confidence: 11

Weighted median piece0.238

Weighted growth piece0.112

Weighted total MRR piece0.122

Weighted crowding piece0.096

Weighted for-sale piece0.042

Raw score61.0

Confidence multiplier0.90

Final opportunity score55

score = 0.35*median + 0.20*growth + 0.20*total + 0.15*competition + 0.10*forSale final = round(score * 100 * confidenceMultiplier)

Game 4

Score delta (7d)

Set a previous score and current score to simulate 7d/30d direction and movement.

Previous scoreCurrent scoreWindow days

Delta+8.0

Directionup

Formuladelta = current - previous = 66 - 58

Statusimproving

$10k MRR challenge

Simulate your path to $10k MRR using the same benchmark estimator logic used in NICHEMRR.

Startup age: 6 mo

1mo6mo1yr2yr3yr4yr5yr

Current MRR ($): $2.2k

MMG / mo ($): $430

Niche median MRR ($): $4.3k

Niche top quartile ($): $9.6k

Median ARPU ($): $62

ARPU override (optional): —

Sample size: 14

User growth / mo$367

Blended growth / mo$389

Months to $10k20.1

Total months26.1

Target date2027-11-18

Confidencelow

Current percentile25.6 (26th percentile)

Months to niche median5.4

Months to top quartile19.0

Effective ARPU$62

Customers for median70

Customers for top quartile155

userGrowth = currentMrr / startupAgeMonthsblendedGrowth = userGrowth*0.65 + marketMedianGrowthPerMonth*0.35monthsTo10k = max(0, (10000-currentMrr)/blendedGrowth)

Game 1

Build a niche from startup inputs

Edit MRR, growth, and sale status. Add or remove startups to manage the niche.

Startup A

MRR ($)

Growth 30d (%)

Startup B

MRR ($)

Growth 30d (%)

Startup C

MRR ($)

Growth 30d (%)

Startup D

MRR ($)

Growth 30d (%)

Startup E

MRR ($)

Growth 30d (%)

Startup F

MRR ($)

Growth 30d (%)

Startup G

MRR ($)

Growth 30d (%)

Startup H

MRR ($)

Growth 30d (%)

Startup I

MRR ($)

Growth 30d (%)

Startup J

MRR ($)

Growth 30d (%)

Startup count10

Total MRR$44.2k

Average MRR$4.4k

Median MRR$4.2k

Average growth 30d+10.3%

For-sale ratio40%

Top 3 MRR share51%

Startups for sale4

Formula highlights: medianMrr = median(mrr > 0) | forSaleRatio = startupsForSale / startupCount | top3MrrShare = top3Mrr / totalMrr

Game 2

Confidence multiplier

Move sample size and watch the confidence penalty and confidence band update.

Startup sample size: 11

Confidence multiplier0.90

Confidence bandmedium

Rule<5: 0.65 | 5-9: 0.80 | 10-14: 0.90 | 15+: 1.00

Impact10% score penalty

Game 3

Opportunity score formula

These sliders represent normalized factor scores (0-100). The formula computes raw score then applies confidence.

Median MRR score: 68

Growth score: 56

Total MRR score: 61

Competition advantage score: 64

For-sale ratio score: 42

Sample size for confidence: 11

Weighted median piece0.238

Weighted growth piece0.112

Weighted total MRR piece0.122

Weighted crowding piece0.096

Weighted for-sale piece0.042

Raw score61.0

Confidence multiplier0.90

Final opportunity score55

score = 0.35*median + 0.20*growth + 0.20*total + 0.15*competition + 0.10*forSale final = round(score * 100 * confidenceMultiplier)

Game 4

Score delta (7d)

Set a previous score and current score to simulate 7d/30d direction and movement.

Previous scoreCurrent scoreWindow days

Delta+8.0

Directionup

Formuladelta = current - previous = 66 - 58

Statusimproving

$10k MRR challenge

Simulate your path to $10k MRR using the same benchmark estimator logic used in NICHEMRR.

Startup age: 6 mo

1mo6mo1yr2yr3yr4yr5yr

Current MRR ($): $2.2k

MMG / mo ($): $430

Niche median MRR ($): $4.3k

Niche top quartile ($): $9.6k

Median ARPU ($): $62

ARPU override (optional): —

Sample size: 14

User growth / mo$367

Blended growth / mo$389

Months to $10k20.1

Total months26.1

Target date2027-11-18

Confidencelow

Current percentile25.6 (26th percentile)

Months to niche median5.4

Months to top quartile19.0

Effective ARPU$62

Customers for median70

Customers for top quartile155

userGrowth = currentMrr / startupAgeMonthsblendedGrowth = userGrowth*0.65 + marketMedianGrowthPerMonth*0.35monthsTo10k = max(0, (10000-currentMrr)/blendedGrowth)

$10k MRR Planning

Benchmark your traction against market data to estimate how long it could take to reach $10k MRR.

Full playground

How It Works

TrustMRR is the marketplace.NicheMRR is the research layer.

TrustMRR helps you inspect startups.
NicheMRR helps you compare markets, rank niches, and decide where to focus before you build.

Pull verified startup data. NicheMRR uses TrustMRR marketplace data as the raw input, including startup MRR, revenue, growth, and sale status.

Turn listings into market benchmarks. We group startups by niche and compute market-level signals like total MRR, average startup revenue, and opportunity score.

Help you choose where to build. Instead of browsing one company at a time, you can compare categories and spot markets with real demand and lighter competition.

Live TrustMRR Snapshot

See the startups behind the market

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