fix getting started (#63)

zkonduit · Aug 2, 2023 · ad91d48 · ad91d48
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diff --git a/Getting_Started.md b/Getting_Started.md
@@ -4,19 +4,15 @@ order: 95
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 ### Installing EZKL
-To use `ezkl` in Python, just `!pip install ezkl`. You will generally also need `onnx` installed if you are exporting models, and Pytorch, Tensorflow, or similar if you are creating models.
+To use `ezkl` in Python, just `pip install ezkl`. You will generally also need `onnx` installed if you are exporting models, and Pytorch, Tensorflow, or similar if you are creating models.
 
 `ezkl` uses your system `solc` Solidity compiler, so you may need to tweak it using svm-rs or solc-select, particularly if you are targeting a specific hardfork.
 
 To use the cli, download a [release binary](https://github.com/zkonduit/ezkl/releases) from GitHub. If you want the latest build, you can also install from source. 
 
 
 ### Building from source 🔨
-Ezkl is built in rust. First [install rust](https://www.rust-lang.org/tools/install), e.g. by 
-```bash
-curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
-```
-then download the repo and enter the directory
+Ezkl is built in rust. First [install rust](https://www.rust-lang.org/tools/install), then download the repo and enter the directory
 ```bash
 git clone [email protected]:zkonduit/ezkl.git
 cd ezkl

diff --git a/Tutorials/CryptoIdol/backend.md b/Tutorials/CryptoIdol/backend.md
@@ -6,6 +6,10 @@ order: 2
 
 This is part 3 of our tutorial on building the [Cryptoidol](https://cryptoidol.tech) demo app; check out the [backend](https://github.com/zkonduit/cryptoidol) and [frontend](https://github.com/zkonduit/cryptoidol-frontend).
 
+Setting up the proving server is very involved. Perhaps you have better things to do and would prefer a hosted service that computes proofs for your application. We now offer a managed service, ezkl hub, which takes care of all this work. 
+
+[Click here](https://mmycoj5vy74.typeform.com/to/Z2aikKUt) to join the waiting list and try out ezkl hub.
+
 # Overview
 
 So you have trained the model and obtained the public key and verifier key. There’s a new problem: how are you going to serve the proofs to your users?