Error: Invariant: attempted to hard navigate to the same URL / http://localhost:3000/ when trying "todo" in examples

[forhonourlx]

Describe the bug
Error: Invariant: attempted to hard navigate to the same URL / http://localhost:3000/ when trying "todo" in examples
Please help, thanks in advance.

To Reproduce
pc init
pc run

Screenshots

1 of 1 unhandled error

Unhandled Runtime Error
Error: Invariant: attempted to hard navigate to the same URL / http://localhost:3000/
Call Stack
handleHardNavigation
node_modules\next\dist\shared\lib\router\router.js (485:14)
eval
node_modules\next\dist\shared\lib\router\router.js (1007:16)
step
node_modules\tslib\tslib.es6.js (102:0)
Object.eval [as next]
node_modules\tslib\tslib.es6.js (83:45)
asyncGeneratorStep
node_modules\@swc\helpers\lib\_async_to_generator.js (23:0)
_next
node_modules\@swc\helpers\lib\_async_to_generator.js (12:0)
eval
node_modules\@swc\helpers\lib\_async_to_generator.js (17:0)
new Promise
<anonymous>
eval
node_modules\@swc\helpers\lib\_async_to_generator.js (9:0)
Router.handleRouteInfoError
node_modules\next\dist\shared\lib\router\router.js (1041:10)
eval
node_modules\next\dist\shared\lib\router\router.js (1190:29)
step
node_modules\tslib\tslib.es6.js (102:0)
Object.eval [as throw]
node_modules\tslib\tslib.es6.js (83:45)
asyncGeneratorStep
node_modules\@swc\helpers\lib\_async_to_generator.js (23:0)
_throw
node_modules\@swc\helpers\lib\_async_to_generator.js (15:0)

** Specifics (please complete the following information):**

• Python Version: 3.9
• Pynecone Version: 0.1.10
• OS: Windows 11
• Browser (Optional): Chrome

[Alek99]

Thanks for checking out the framework. We don't support windows currently, this is something we are working on fixing asap. But for now I would run on linux subsystem until be get windows ready.

We should have this done in the next couple weeks. In the mean time, there is a Pynecone WSL walkthrough that a community member made see here: #128

[forhonourlx]

Hope that Windows version would come soon! Thanks!

[gschurck]

I have the same issue and I am on Linux, running pynecone in Docker.