Fluxmail is an AI-powered email app that helps you get done with email faster. I think there's a significant opportunity for AI to change the way we use email, and I'm experimenting with ways to improve the status quo. I'd love to hear what features you'd like to see in such an app!
This is a job board for AI jobs and companies. The job market in AI is pretty hot right now, and there are a lot of cool AI companies out there. I'm hoping to connect job seekers with fast-growing AI companies.
It supports page stacking, linked references, block references, a graph view, and all that good stuff. Think of it as similar to Roam Research / Obsidian.
When evaluating rich text editors for the note-taking app I started about a year ago (https://notabase.io), I ended up going with Slate because of its flexible schema and customizable plugin architecture.
I sort of regret that choice now. I ran into a lot of bugs when integrating it which I had to manually work around; issues go months without being addressed; and there still isn't good cross-platform support, especially for Android. With a more active contributor base, Slate could be a fantastic library, but I get the feeling that it's in maintenance mode now, with not many major changes in the past year and a v1.0 still far in the future.
Tiptap looks like it might be a good choice now, but I find it off-putting that I can't insert links in the demo editor on Tiptap's website (https://tiptap.dev), especially for my use case (a note-taking app whose core concept revolves around links).
I'm working on an open source note-taking app called Notabase [1].
It's built primarily for my use - I just never liked most existing note-taking apps and wanted to make one that's easy to use and fit the way that I think. I made it open source [2] so other people can build on top of my ideas, and released a hosted version so that other people can use it if they like it.
It would be nice if other people found it helpful, but regardless it's something that I intrinsically enjoy working on.
Hey, the creator of Notabase [1] here, which it looks like MdSilo was based off of.
Your project looks cool! Always interesting to see how other people tackle note-taking. Thanks for keeping it open source.
I'd encourage people to check out Notabase as well, which offers an alternative vision and UI which some people might like better. You can use it hosted, or self-host it yourself -- the code is open source [2].
"Note: by default, Notabase has a cap on the number of notes you can create. You can circumvent this by inserting an active subscription for your user id in the subscriptions table."
Maybe it's unclear, but you just need to insert a row in the subscriptions table with the value "ACTIVE". You don't actually need to have a real subscription on the hosted version of Notabase.
Besides, if you know how to code, it's simple to change the max number of notes to something like Number.POSITIVE_INFINITY anyway - but adding a row in the database is likely easier so that's what I recommend.
It may be a bit of a hassle, but I do this because the codebase for the hosted version and the self-hosted version is the same, which makes it easier for me to maintain. In the future, I may make a separate self-hosted version so that this step can be skipped.
If you want an open source alternative, you should check out Notabase [0]. It's like a mix of Notion + Roam Research, designed to be delightful and easy to use. The difference from Obsidian is that it's database-backed.
I'm making Notabase [1], which is a personal knowledge base for non-linear thinking. It's inspired by note-taking apps like Notion, Roam Research, and Obsidian.
I started it because I wanted a note-taking app for networked thought / Zettelkasten that is easy to use for the average user (not the average Hacker News reader). So you don't need to use Markdown if you don't want to, you can format text in other ways like using the formatting toolbar or through keyboard shortcuts. And syncing between different devices is handled automatically for you since it's a web app.
I also wanted to make it open source [2] so that anyone could look at the code and contribute to it if they wanted to. I'm not a big fan of the way that a lot of the apps in this space are closed source -- you don't really know what they're doing with your data, and it doesn't inspire confidence in the app's longevity.
It's still early in development, but I'm hoping to build a solid community behind it.
i agree. I think this is why I find companies like tesla and spacex exciting. They seem to have set up incentive structures that encourage _both_ quick execution and innovation (which requires deep understanding). One thing he's said that really struck me is that it's _really_ difficult to produce innovation if you tie punishment to failure. People tend to be conservative if they are punished / think they will be punished harshly for trying and failing. But if you want to innovate, failure has to be an acceptable outcome
hopefully we see more companies go in this direction
well that's where the whole mantra of "move fast and break things" comes from.
Putting it out there and failing also accelerates you faster to the right answers. If you release it today, it'll take 6 more months of iteration to really get it right. Or maybe you spend an extra 2 years of development to get it "right", but then once you release, you'll still have to spend 3 more months of iteration anyways to get it right.
I would say the IAS is one, as are other pure research institutes like Perimeter.
I would also say that a deep understanding isn’t usually necessary to make progress in many fields of human endeavor. Fields like engineering work on the basis of empiricism — theoretical understanding usually comes later. I could be all wrong here but my gut feeling is that the majority of great breakthroughs in engineering have come through tinkering and luck rather than a principled application of science — the latter is used more for refining the execution.
Even in recent times, neural network models have been shown to work without any deep understanding apart from the basics. It’s only recently that a lot of new theory have come out.
Deep understanding is a worthy goal in order to deconstruct things to learn how to make them fundamentally better or to build a foundation for further progress.
But as humans, we do very well surviving in a world that we largely do not deeply understand for the most part — I’d argue we are able to do so through heuristics (see Gigerenzer). We definitely should not let the lack of deep understanding prevent us from taking the initiative to do things.
1. Fluxmail - https://fluxmail.ai
Fluxmail is an AI-powered email app that helps you get done with email faster. I think there's a significant opportunity for AI to change the way we use email, and I'm experimenting with ways to improve the status quo. I'd love to hear what features you'd like to see in such an app!
2. ExploreJobs.ai - https://explorejobs.ai
This is a job board for AI jobs and companies. The job market in AI is pretty hot right now, and there are a lot of cool AI companies out there. I'm hoping to connect job seekers with fast-growing AI companies.
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