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Hey, this is Gabe from zenfetch. Been following you guys for a few months now since your first launch. I definitely resonate with all the problems you've described regarding celery shortcomings / other distributed task queues. We're on celery right now and have been through the ringer with various workflow platforms. Only reason we haven't switched to Hatchet is because we are finally in a stable place, though that might change soon in which case I'd be very open to jumping ship.

I know a lot of folks are going after the AI agent workflow orchestration platform, do you see yourselves progressing there?

In my head, Hatchet coupled with BAML (https://www.boundaryml.com/) could be an incredible combination to support these AI agents. Congrats on the launch


Hi Gabe, also Gabe here. Yes, this is a core usecase we're continuing to develop. Prior to Hatchet I spent some time as a contractor building LLM agents where I was frustrated with the state-of-tooling for orchestration and lock in of some of these platforms.

To that end, we’re building Hatchet to orchestrate agents with features that are common like streaming from running workers to frontend [1] and rate limiting [2] without imposing too many opinions on core application logic.

[1] https://docs.hatchet.run/home/features/streaming [2] https://docs.hatchet.run/home/features/rate-limits


I've been using BAML to develop Zenfetch and it's easily the best engineering decision I made for the product


Thanks for mentioning Zenfetch :)

Happy to answer any questions


What is Zenfetch?


Personal RAG. Connect your existing bookmarks/web browsing/notes into a knowledge library with AI search and chat over top it


Interesting to see Kagi on this list. One of our users for Zenfetch specifically requested the option to see their Zenfetch articles alongside their search results, so we naively developed that feature to appear beside Google SERPs...

Turns out, he was a Kagi power user. Not the worst mistake on our end, though pretty neat to see it in the wild


This is fantastic! We just shipped so much of our old Claude Instant calls to Haiku and the results are fantastic.

Zenfetch is now primarily powered by Claude 3 family of models :O https://www.zenfetch.com


Hey there,

This is Gabe, the founder of Zenfetch. Thanks for sharing. We're putting together an export option where you can download all your saved data as a CSV and should get that out by end of week.


Seems like this would be a good tool to build lessons on - if you could share a "class" and export a link for others to then copy the class, and expand on the lesson/class/topic into their own AI. but as a separate "class" and not fully integrated to my regular history blob?

I want the ability to search all my downloaded files and organize them based on context within. Have it create a category table, and allow me to "put all pics of my cat in this folder, and upload them to a gallery on imgur."


We're working on the ability to share folders of your knowledge so that others can search/chat across them.

We've been thinking of this as a "subscription" to the creator's folder. Similar to how you might subscribe to a Spotify playlist


Consider using tar files for this. Lots of tooling (versioning, hashing, storage) around this already, and docker layers comes to mind.


Or aN RSS?


Woah, super cool to hear from ya!

Been a minute since the APL days though I still have fond memories of my time there. Big fan of the Pensieve analogy, maybe we'll throw that in the landing page lol


We'll make sure to give all our users an export option so that they may get everything that's been stored.


Thanks for bringing this up, as privacy is one of (if not THE) highest priorities for us.

Happy to answer any questions you have, here are some preliminary notes that might be helpful:

1. We don't sell your data. Our business model is subscription based and we have DPAs with model providers to ensure none of that data is used for training 2. All data you explicitly save to zenfetch is encrypted in transit and at rest.

In the future, we'd like to move to a local-first platform where the data storage and processing takes place on your own machine


> and at rest.

What did you mean by this? The data (articles which users save) you store remains encrypted?


Correct.

The database provider we use encrypts all customer data at-rest by default using AES-256 to secure all volume (disk) data.


How do you access the articles then? (For sending to OpenAi)


Interested in this answer as well gabev


Yes! In the dashboard (https://dashboard.zenfetch.com) you should see a settings icon on the bottom left. There you can disable the zenfetch button from appearing on the page.

Then you can click on the zenfetch extension popup to still save a tab :D


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