Refracthr
Talent Screening: Context, transferability, no black box.
Tools don't screen for capability - they screen for resume optimization. We surface matches with structured evidence extraction, transferability, recruiter-configured weights and fully explainable rankings.
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Launch Intel predictions
Analyze your own launch →52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
37%37% predicted probability of success on BetaList, based on ML models trained on real launch data.
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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The operating system for agentic work - Autonomy without the black box.