diff --git a/.gitignore b/.gitignore
index 888bfe9..4f62cab 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,10 @@
 __pycache__
 .pytest_cache
+.mypy_cache
+.ruff_cache
 
 .venv
 .pdm-python
 .pdm-build
+
+dist
diff --git a/README.md b/README.md
index 97ec8b9..9639ea1 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,18 @@
 # tee-subprocess
 
 ![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/thearchitector/tee-subprocess/ci.yaml?label=tests&style=flat-square)
+![PyPI - Downloads](https://img.shields.io/pypi/dw/tee-subprocess?style=flat-square)
 
 A subprocess replacement with tee support for both synchronous and asynchronous contexts.
 
-## Usage
+Supports Python 3.8+.
+
+## Example
 
 Just import the `run` function and use it as you would use `subprocess.run`.
 
 ```python
-from subprocess_tee import run
+from tee_subprocess import run
 
 process = run(["python", "--version"], tee=True, text=True, capture_output=True)
 # ==> Python 3.11.2
@@ -17,11 +20,11 @@ print(process.stdout)
 # ==> Python 3.11.2
 ```
 
-Changing `stdout` and `stderr` changes the location to which the `tee` occurs. You can supply any of the defined options in `subprocess` or `asyncio.subprocess`(`STDOUT`, `DEVNULL`, etc), as well as a writable text or binary file object.
+Changing `stdout` and `stderr` changes the location to which the `tee` occurs. You can supply any of the defined options in `subprocess` or `asyncio.subprocess` (`STDOUT`, `DEVNULL`, etc), as well as a writable text or binary file object; if providing a text file object, you must specify `text = True`.
 
 ### Async
 
-Internally, `subprocess_tee` utilizes `asyncio` to concurrently output and capture the subprocess logs. If an event loop is already running, `run` will return an awaitable coroutine. Otherwise, it will call `asyncio.run` for you. Practically, this means you can just treat `run` as a coroutine if you're in an async content; if you're not, just call it synchronously.
+Internally, `tee_subprocess` utilizes `asyncio` to concurrently output and capture the subprocess logs. If an event loop is already running, `run` will return an awaitable coroutine. Otherwise, it will call `asyncio.run` for you. Practically, this means you can just treat `run` as a coroutine if you're in an async content; if you're not, just call it synchronously.
 
 ```python
 async def main():
@@ -33,6 +36,10 @@ async def main():
 asyncio.run(main())
 ```
 
+## Alternatives
+
+[subprocess-tee](https://github.com/pycontribs/subprocess-tee), the motivation for this library, has the same objective but fails to accommodate asynchronous applications and non-shell invocations. This library supports asynchronous contexts as well as direct, non-shell, program execution ("list-style" vs. "shell-style").
+
 ## License
 
 MIT License
diff --git a/pyproject.toml b/pyproject.toml
index 3219571..3c724e1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "tee-subprocess"
-version = "1.0.0"
+version = "1.0.0.post0"
 description = "A subprocess replacement with tee support for both synchronous and asynchronous contexts."
 authors = [
     {name = "Elias Gabriel",email = "me@eliasfgabriel.com"},
@@ -16,7 +16,6 @@ documentation = "https://github.com/thearchitector/tee-subprocess"
 repository = "https://github.com/thearchitector/tee-subprocess"
 changelog = "https://github.com/thearchitector/tee-subprocess/blob/main/CHANGELOG.md"
 
-
 [tool.pdm.dev-dependencies]
 dev = [
     "pytest>=7.4.3",
diff --git a/tee_subprocess/py.typed b/tee_subprocess/py.typed
new file mode 100644
index 0000000..e69de29