Actual performance
2upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos56%56% predicted probability of success on Product Hunt, 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, personal49%49% 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, podcasting48%48% 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 released47%47% 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, intuitive21%21% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
To
Tokentoll, a CI gate for LLM API cost regressions46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tokentoll, a CI gate for LLM API cost regressions
Hacker News2To
Tokensift, an open-sourced token-efficiency linter for LLM prompts52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tokensift, an open-sourced token-efficiency linter for LLM prompts
Hacker News6Pr
PromptOptimizer – Minimize LLM token complexity to save cost61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PromptOptimizer – Minimize LLM token complexity to save cost
Hacker News4Sc
Scope linter for coffeescript33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scope linter for coffeescript
Hacker News7Li
Linter for coverletters42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Linter for coverletters
Hacker News2Fl
Flint – The filesystem linter in go68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flint – The filesystem linter in go
Hacker News8Fl
Flint – The filesystem linter in go68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flint – The filesystem linter in go
Hacker News5A
A linter for MySQL40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A linter for MySQL
Hacker News9Li
Lintspec, a Solidity NatSpec Linter51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lintspec, a Solidity NatSpec Linter
Hacker News1Li
Linter for Dockerfiles42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Linter for Dockerfiles
Hacker News4