[EDIT] Several commenters rightly noted that heavy em-dash usage is normal for the New Yorker (and common thanks to OS auto-replacement), so my “LLM giveaway” quip was off-base. Leaving this up for context—thanks for the corrections.
18 karma · joined August 29, 2020
[EDIT] Several commenters rightly noted that heavy em-dash usage is normal for the New Yorker (and common thanks to OS auto-replacement), so my “LLM giveaway” quip was off-base. Leaving this up for context—thanks for the corrections.
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
Happy to answer any questions
Turns out, he was a Kagi power user. Not the worst mistake on our end, though pretty neat to see it in the wild
Zenfetch is now primarily powered by Claude 3 family of models :O https://www.zenfetch.com
We've been thinking of this as a "subscription" to the creator's folder. Similar to how you might subscribe to a Spotify playlist
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.
It might take a couple of minutes. Would recommend checking spam or trying again in a bit
We are using a fixed price today and have no restriction on storage. This might change in the future if costs scale, though it’s not an immediate priority and we’d be sure to communicate those changes well in advance.
Once you’re onboarded, feel free to message us with the in app support widget. It’s a direct line to the team slack and we tend to respond almost immediately
If you were to chat with the article from the dashboard, it would be preserving the snapshotted content and leverage that information in the final answer (same with using the search functionality).
The database provider we use encrypts all customer data at-rest by default using AES-256 to secure all volume (disk) data.
If mobile saving is what you're interested in, we can likely get that shipped even faster :)
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
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
Then you can click on the zenfetch extension popup to still save a tab :D
The process for exporting chromium based extensions to safari is not super straightforward (HN Community please prove me wrong!), though glad to hear it's a priority
Hear you on the safari request and we will definitely expedite that release
Our goal is not to become a vendor lock-in play. Instead, Zenfetch is a layer on top of your knowledge base goaled on helping you activate information that you forgot about.
If you're referring to being able to revisit bookmarks: from the dashboard, you can click on any of the articles to see the original article
Let me know if more clarity is needed
We simply found that there were things we didn't want in our first brain, let alone in our second brain. That's why we've taken a curated content approach.
Rewind captures everything, while Zenfetch only stores the content you've explicitly saved to signal there is value.
I don't need to be reminded of the accidental clickbait article I've opened :)
It is an ongoing effort to ensure truly factual answers and this is one of our top priorities :)
Is that your browser of choice?
As a statistician by training, I appreciate how the traditional inference techniques were helpful way before LLMs became mainstream for these tasks :)
This coupled with my daily journal entries offers an interesting reflective process around the holiday season :)
The reason read-it-later apps exist is because we want to buy the insurance policy that IF there is a future situation in which the information is useful, we have it saved somewhere to access it.
The reality is, even if you have saved it at some point, there's no guarantee you'll be able to remember the knowledge when you need it.
This is precisely the problem I'm building a solution for.