Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto83%83% predicted probability of success on BetaList, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Similar products
Fackl43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Multiple phone numbers for one phone
Indie Hackerscommitment-side-project
FullEnrich 2.046%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Waterfall enrichment for emails & phone numbers
Product Hunt+811Sales
AgentCall78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Phone Numbers for AI Agents
Product Hunt+2To
Tomorrow's phone numbers? phone hashtags48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tomorrow's phone numbers? phone hashtags
Hacker News2Im
Implementing a trackball with rational numbers38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Implementing a trackball with rational numbers
Hacker News11Ra
Rational numbers for Java, why not?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rational numbers for Java, why not?
Hacker News6Pr
Primeval Numbers52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Primeval Numbers
Hacker News2520
2048 without numbers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
2048 without numbers
Hacker News54Selling Lemons55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My mom grew TOO many lemons
Indie HackersBu
Burner, for temporary phone numbers59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Burner, for temporary phone numbers
Hacker News323