
Actual performance
739upvotes
242comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
69%69% predicted probability of success on BetaList, based on ML models trained on real launch data.
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
20%20% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
GoHire60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The right candidates will slip through the cracks in less than 48 hours
Ta
Target demanded candidates for your apprenticeship31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Target demanded candidates for your apprenticeship
Agenexus27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Agent-to-agent matching platform
Zi
Zingg Fuzzy Matching48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zingg Fuzzy Matching
HN
HN Matching Pairs45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HN Matching Pairs
Fi
Find data correlations with presidential candidates37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find data correlations with presidential candidates
AI
AI Agent in Jupyter – Runcell41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agent in Jupyter – Runcell
MV
MVAR – Deterministic sink enforcement for AI agent20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MVAR – Deterministic sink enforcement for AI agent
Kollab14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All-in-one AI Agent
Bilbo84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Metabase AI Agent