diff --git a/core/src/Streamly/Internal/Data/Fold/Combinators.hs b/core/src/Streamly/Internal/Data/Fold/Combinators.hs
index e1337f70ef..ec6bb9cafa 100644
--- a/core/src/Streamly/Internal/Data/Fold/Combinators.hs
+++ b/core/src/Streamly/Internal/Data/Fold/Combinators.hs
@@ -182,6 +182,7 @@ module Streamly.Internal.Data.Fold.Combinators
     -- ** Parallel Distribution
     , tee
     , distribute
+    , distributeScan
     -- , distributeFst
     -- , distributeMin
 
@@ -2041,6 +2042,45 @@ tee = teeWith (,)
 distribute :: Monad m => [Fold m a b] -> Fold m a [b]
 distribute = Prelude.foldr (teeWith (:)) (fromPure [])
 
+-- XXX use mutable cells for better performance.
+
+-- | Distribute the input to the folds returned by an effect. The effect is
+-- executed every time an input is processed, and the folds returned by it are
+-- added to the distribution list. The scan returns the results of the folds as
+-- they complete. To avoid adding the same folds repeatedly, the action must
+-- return the folds only once e.g. it can be implemented using modifyIORef
+-- replacing the original value by an empty list before returning it.
+--
+{-# INLINE distributeScan #-}
+distributeScan :: Monad m => m [Fold m a b] -> Scanl m a [b]
+distributeScan getFolds = Scanl consume initial extract final
+
+    where
+
+    initial = return $ Partial (Tuple' [] [])
+
+    run st [] _ = return $ Partial st
+    run (Tuple' ys zs) (Fold step init extr fin : xs) a = do
+        res <- init
+        case res of
+            Partial fs -> do
+              r <- step fs a
+              run (Tuple' (Fold step (return r) extr fin : ys) zs) xs a
+            Done b -> do
+              run (Tuple' ys (b : zs)) xs a
+
+    consume (Tuple' st _) x = do
+        xs <- getFolds
+        xs1 <- Prelude.mapM reduce xs
+        let st1 = st ++ xs1
+        run (Tuple' [] []) st1 x
+
+    extract (Tuple' _ done) = return done
+
+    final (Tuple' st done) = do
+        Prelude.mapM_ finalM st
+        return done
+
 ------------------------------------------------------------------------------
 -- Partitioning
 ------------------------------------------------------------------------------