Startup Differentials
Indie HackersShowing you where and how your SaaS is leaking MRR
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto92%92% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Acquire.comFits revenue-generating acquisition profile · Strong signals: mrr, saas · Missing: arr, revenue, profit61%61% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
TinySeed63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The first startup accelerator for SaaS bootstrappers.
Indie Hackers4investingSa
San Francisco vintage shop spins off a SaaS startup52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
San Francisco vintage shop spins off a SaaS startup
Hacker News2SaaS Dives34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Inspiration For Your Next Startup
Indie HackersMy
My first startup - So Yummy54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first startup - So Yummy
Hacker News3Re
Red Quintal - Not every startup is from the valley41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Red Quintal - Not every startup is from the valley
Hacker News1St
Startup Competition... with explosives48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startup Competition... with explosives
Hacker News2My
My porn startup62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My porn startup
Hacker News21Sh
Show HN : ThinkStartups - A Startup Unconference56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : ThinkStartups - A Startup Unconference
Hacker News26My
My girlfriend's startup52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My girlfriend's startup
Hacker News46st
startup to startup24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRSoftware