microsaasdb
Indie HackersA database of emerging SaaS products (with 500+ MRR)
Helping investors looking for new SaaS to invest/buy Help people looking for a specific solution who don't want to buy an entire suite Help SaaS builders with market research
Share cardActual performance
2followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: mrr, saas · Missing: arr, revenue, profit31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Productz41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Database of products.
Indie Hackerscommitment-full-time50
500 TILs and Counting48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
500 TILs and Counting
Hacker News2Da
Database monitoring with Ruxit SaaS55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Database monitoring with Ruxit SaaS
Hacker News1HostedPMM57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Database monitoring SaaS
Indie Hackerscommitment-full-timeSQ
SQLToy - a SQL database in 500 lines of code71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SQLToy - a SQL database in 500 lines of code
Hacker News2Rapute31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reputation monitoring for SaaS products
Indie Hackersfounders-code-yesSu
SummaDB, a hierarchical database that syncs with PouchDB60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SummaDB, a hierarchical database that syncs with PouchDB
Hacker News5No
Noms – The versioned, forkable, syncable database68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Noms – The versioned, forkable, syncable database
Hacker News43Di
Digestable Ingredient Database68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digestable Ingredient Database
Hacker News2Ne
NebulaDB, my first attempt at a database63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NebulaDB, my first attempt at a database
Hacker News30