Terse
Workflow builder that lives in Claude Code
Building determinstic workflows with coding agents works but is a pain for real business use cases. Terse exists because it closes this gap: token efficient, durable, integrated, observable and learns.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →96%96% 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.
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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