diff --git a/README.md b/README.md
index e05b59680..da13f0cf9 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ see `docs/ackn.rst` for full list of contributors.
This is a lightweight CPU library to compute the three standard types of nonuniform FFT to a specified precision, in one, two, or three dimensions. It is written in C++ with interfaces to C, Fortran, MATLAB/octave, Python, and (in a separate [repository](https://github.com/ludvigak/FINUFFT.jl)) Julia. It now also integrates the GPU CUDA library cuFINUFFT (which currently does all but type 3).
-Please see the [online documentation](http://finufft.readthedocs.io/en/latest/index.html) which can also be downloaded as a [PDF manual](https://finufft.readthedocs.io/_/downloads/en/latest/pdf/).
+Please see the [online documentation](http://finufft.readthedocs.io/en/latest/index.html) which can also be downloaded as a [PDF manual](https://finufft.readthedocs.io/_/downloads/en/latest/pdf/), and a [project overview](https://users.flatironinstitute.org/~ahb/notes/finufft-project-summary-2023.pdf).
You will also want to see CPU example codes in the directories `examples`, `test`, `fortran`, `matlab/test`, `matlab/examples`, `python/finufft/test`, etc, and GPU examples in `examples/cuda`, `test/cuda`, etc.
If you cannot build via cMake, try the makefile. Python users try `pip install finufft`. See the docs for details. See our GitHub Issues for tips.
diff --git a/docs/overview.src b/docs/overview.src
index 90f68b8c6..244b09e0f 100644
--- a/docs/overview.src
+++ b/docs/overview.src
@@ -24,7 +24,7 @@ It has been developed since 2017 at the `Center for Computational Mathematics
`_ at the `Flatiron Institute `_,
by :ref:`Alex Barnett and others`,
and is released under an
-`Apache v2 license `_.
+`Apache v2 license `_. Here is a `project overview