For 10 years I've been running a personal reading system — saving articles, filtering them with AI summaries, and posting the best ones to r/programming and r/webdev and here. That pipeline is how I accumulated 350k Reddit karma. It was never meant to be a product. It was just how I learned.
Then Pocket shut down. Then Omnivore. And the web kept filling with content nobody asked for.
Hutch is that system rebuilt as an app. The idea is simple: you choose what enters your reading list, not an algorithm. The TL;DR summary helps you decide whether the article you saved deserves an hour or five minutes. You're still the one deciding. That's the whole point.
v1 has Firefox and Chrome extensions (one click, Ctrl/Cmd+D, or right-click), reader view via Readability.js, TL;DR summaries per article, dark mode, and OAuth with PKCE. Hosted in Sydney. Australian Privacy Act compliant. No tracking, no ads.
Free for the first 100 users, A$3.99/month after that.
Open source including the GitHub Actions + Claude CI pipeline I used to build it: github.com/HutchApp/hutch-app
This is a genuine v1 — the advertised features work, everything else is roadmap. What I want to build next: a preference learning layer ("more like this / less like this"), Gmail integration for newsletters, and highlights. I don't know which matters most to the people who need this.
If you try it, tell me. Happy to get feedback.
Hey Fayner! Nice to meet ya, I have signed up to Hutch, I think I might be one of the first 100 users so are you suggesting that I might have the product free forever or till a certain time?
> Then Pocket shut down. Then Omnivore. And the web kept filling with content nobody asked for.
I used to use Shiori until I one day had accidentally removed that docker container, nowadays, I either star if its a github project or I even had a tampermonkey script which created a button in my screen which I can click to store links in json format in a private secret gist of mine. Personally I really like shiori and I have talked to their developers on matrix too and they seem nice, I would love to hear your thoughts on Shiori.
> This is a genuine v1 — the advertised features work, everything else is roadmap. What I want to build next: a preference learning layer ("more like this / less like this"), Gmail integration for newsletters, and highlights. I don't know which matters most to the people who need this.
Personally, I would love if there was a thing similar to linkhut (you can see my linkhut at https://ln.ht/~imafh), this is a place where I share all the really cool things that I found on the internet and the best part absolutely about linkhut is that I can write "notes"/"text" within Linkhut about a particular link)
So anyone, who is reading my profile can exactly know why I vouched for a project. Combining this with tags and videos and search and profiles with it being open source/with api, I Really Love linkhut but (its link aggregators features are a little not so good)
I am not sure of how similar linkhut and hutch can be, but I would really love to see a feature for example where I can get suggested an article by other people who have written some genuine things about it in notes and then I can comment about it within maybe hutch itself even, or if not.
I feel like having these human elements gives a sense of community. I would love to hear your thoughts on as well!
Notes and highlights are on the roadmap — you'll be able to annotate as you read.
The social discovery angle is interesting. Hutch is deliberately private for now but curated recommendations from real readers with genuine notes is a different thing from algorithmic suggestions. Worth thinking about.
On the free tier: the first 100 users get free access, no time limit.
I haven't tried Shiori, I'll take a look.
Welcome to Hutch!
Thanks, I have been thinking about it from a more human perspective as in that I have some cool things to share to people and those don't fall exactly into Hackernews at times (suppose a struggling musician who has an interesting story to tell), Usually I then use linkhut with their channels with a note so that people can know why I have bookmarked them in linkhut if they go to my profile and see my linkhut there. Its definitely really interesting to think about.
> Welcome to Hutch!
Thanks! Happy to be a user here!