I've been drumming up support for my @podping [Proposal](https://peakd.com/me/proposals/181) and I thought it would be good to write up how it actually works in Python right now.

## Hive-Watcher - Watching the Hive chain

This project springs from pretty much the simplest code in the entire Python Dev library from Hive.

[PY: Stream Blockchain Transactions](https://developers.hive.io/tutorials-python/stream_blockchain_transactions.html)

The idea of watching the chain for specific custom_json's turned into this, [simple-watcher.py](https://github.com/Podcastindex-org/podping.cloud/blob/208616881f51a8cda36bc84cc58c97b042f17440/hive-watcher/simple-watcher.py):

![image.png](https://files.peakd.com/file/peakd-hive/brianoflondon/23swdsD8YEmuZpsUdamiZEXXFq1nYnxH1ciFDbitMYyVTVaHTXVkcN5GRG1M8d5aq9fmv.png)

We're only looking for operations with an id in this list (and "hive-hydra" will be dropped, it was only for early testing):

```
["podping", "hive-hydra"]
```

That's it, that's the code which, when run on a Raspberry Pi or a $5 Linode server, can replace heavy duty servers set up to hit hundreds of thousands of RSS feeds as fast as they can just to see if something has changed.

With those lines of code, a tiny machine can watch the Hive stream and then fire off a request to any RSS feed they know has been changed because the publisher tells them.

There is a [more sophisticated Hive-Watcher program](https://github.com/Podcastindex-org/podping.cloud/blob/12bc38e124d3ecaa46c25d03a6cb8ce336d13c6a/hive-watcher/hive-watcher.py) which contains a full command line interface, code to replay the chain and other more sophisticated operations but at its core it's the same as the simple-watcher.

The final part that should be noted is that at present there is a list of Hive accounts which are "approved" for sending podpings. That list is just the list of accounts followed by the @podping account so it is public and can be seen here:

https://peakd.com/@podping/following

There is a proposal in the works for removing this step and replacing it with a method by which an RSS feed itself signifies which Hive account is the allowed sender but that's a work in progress.

## Hive-Writer - putting Podpings on the Hive chain

The other side of the system is almost as simple. We just have to take in a URL (or a continuous stream of URLs) each one representing an RSS feed that has updated.

The idea is that a hosting company can fire off one of these notifications every time a feed is updated by a customer of that host. Today @podcastindex is acting as an intermediary and running an API server which just receives a single GET request with an authentication header. In the future, hosts will have their own Hive account and write directly to the chain.

The [hive-writer code is on Github](https://github.com/Podcastindex-org/podping-hivewriter/blob/4c0f3411b944fc19b3c82290e1138625bff52fb6/hive-writer.py) and work is underway to create a Docker image (look in the Development branch).

Whilst the writer code is a little more complicated because of a ZMQ socket and some queuing systems, the heart of it from a Hive point of view is this:

![image.png](https://files.peakd.com/file/peakd-hive/brianoflondon/23swe1V7PMTCB5AvbkLKqXGcoVmBmtu6EmivEXZQkodFQcdyxdjMzhwDd1w5BcKhq9EvV.png)

And just with that perhaps we've created a new protocol for the internet? I'm not quite sure what gets to call itself a protocol, but this use of a blockchain seems to fit the bill for something nobody's ever put in place before. Right now it is signaling updated podcast episodes. It will extend pretty soon to "going live" notifications.

[Podping on Hive may well form the basis of an entirely new form of blockchain based Internet Protocol: this is what I'm hoping it becomes!](https://peakd.com/c-c-c/@brianoflondon/answering-questions-about-podping-on-hive)

---
Support this as [proposal 181 on PeakD](https://peakd.com/me/proposals/181)
[Support proposal 181 on Hivesigner](https://hivesigner.com/sign/update-proposal-votes?proposal_ids=%5B181%5D&approve=true)
---



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