Inkfold
Shared context and memory across your AI tools
Building across multiple AI tools means your context is fragmented — every provider is a separate silo with its own memory, so you're constantly re-explaining yourself and copy-pasting between GPT, Claude, and Gemini. I'
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Launch Intel predictions
Analyze your own launch →72%72% 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.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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