Recaster

The Recaster Miniapp is ready. Currently, it offers three features:

- Search and view user stats, including Warpcast label, Neynar score, and OpenRank.
- Compose and schedule casts (notifications are coming soon).
- Purchase Warpcast invites directly with crypto.

This is a fun experiment, use Recaster within Warpcast, will add more features if people like it.

The Recaster Miniapp is ready. Currently, it offers three features:

- Search and view user stats, including Warpcast label, Neynar score, and OpenRank.
- Compose and schedule casts (notifications are coming soon).
- Purchase Warpcast invites directly with crypto.

This is a fun experiment, use Recaster within Warpcast, will add more features if people like it.

https://app.recaster.org

My followers number looks off, it’s less than Warpcast. You doing some type of filtering?

Building @recaster-fc and other farcaster tools

a frequent problem we heard was other clients showing much higher follow and reaction counts compared to warpcast

turning on the `x-neynar-experimental` header will now filter out lower noise from these counts, the header is _not_ turned on by default so developers must explicitly choose to use it

- this is experimental by definition, we will continue to improve the filtering behind the scenes
- the numbers are not expected to match warpcast, they are meant to be an overall noise filter

to read what all the experimental flag does, read here: https://www.notion.so/neynar/Experimental-Features-1d2655195a8b80eb98b4d4ae7b76ae4a?pvs=4 and reach out with any feedback 🪐

https://warpcast.com/rish/0x6ea87140

hmm. will change back

fwiw warpcast filtering isn't 100% accurate so if your goal is to filter noise, it misses a bunch of that 

so depends on whether the developer goal is to
- show protocol data
- reduce noise
- match warpcast (not doable)

building farcaster infra @ /neynar 🪐 | casting @ /rish

Have you guys done any internal testing? I plan on doing my own but I’m curious if Neynar has a specific score that you know does a very good job at filtering noise

its different for different things e.g. follower count vs reply count and we have to tweak the threshold if the underlying model updates significantly

Neynar

Neynar APIs can now cut out noisy likes, recasts, and follows using the `x-neynar-experimental` header ✂️

Read about the details here: https://neynar.notion.site/Experimental-Features-1d2655195a8b80eb98b4d4ae7b76ae4a

Reach out if you have questions 🪐

So the only options are true/false? I assumed devs would have the option to set their own score for each API endpoint

So the only options are true/false? I assumed devs would have the option to set their own score for each API endpoint 

https://warpcast.com/vrose.eth/0x62ee0288

one thing at a time

before we introduced this, there was no option of any kind and you could only read protocol data

Opacity

Fair enough. Im not convinced that warpcast labels or neynar score is going to be the answer for solving spam/sybil, but I hope im wrong and would like to learn more. 

Im thinking verifications and web proofs will be more powerful, but I don't have any data to back that claim up either. Paying close attention to what /opacity is doing

I def appreciate the efforts, so thank you!

yeah we will include the verifications data into the scoring model once its on the protocol 

and yeah, this is experimental by definition. its in the name of the header :)