Show HN: Flow Dashboard – open-source habit tracker and personal analytics app

There are plenty of habit trackers out there, obviously, so this has really been an exercise in figuring out how to integrate a tracking app as seamlessly as possible into a daily routine, while generating a dataset that has the potential to give meaningful personal insights. The jury's still out on that.

Testers, collaborators, and feedback of all kinds welcome.

https://github.com/onejgordon/flow-dashboard

The Github repo mentions a REST api that can be used to push arbitrary data into the system. Are there any docs around this yet?

I'm working on a similar project myself but I welcome innovation in the space.

I can't wait to poke around this a bit more. It also uses the same stack I'm planning to use on my next personal project (Django + React).

Me and my friend were working on a very similar project for the last 10 months, and we still hesitate to publish it (also, it is written in Scala, thus limiting potential audience). Below, I provide more information about our work, some insights discovered during development, and future plans. I hope it could help other projects too.

The project is focused on outsourcing memory, providing smooth, most of the time automatic, time-tracking, being hackable and keeping personal data private.

Key features needed for that are different integrations (we use JIRA, Trello, Hubstaff, Trakt.tv, Apple Health, sleepasandroid, Beddit); constant location tracking; convenient input (currently, Telegram bot with NLP capabilities, suggestions and autocompletion).

Eventually, it turned out, that chatbot interface works like a charm for actions like forwarding links to read them later, managing tasks in JIRA (when chatbot sends you updates, and then you can use your messenger to comment on or manage tickets; also works well with time-tracking), aggregating notifications.

We also have some analytics: daily briefs, time tracking summaries, metric-based reports. Another features include global search, flashbacks, GPX track export (to use with Lightroom, for example), history-based notifications. Future plans include: finance tracking, delivery tracking, ReSpeaker integration, newsfeed aggregation.

Sadly I tried to log in with my gmail account and it just returns me to the Login page again.

I wouldn't attempt using more than once tracker, and I'm not keen on tracking personal matters. I prefer the freedom of taking action on personal matters in response to how I feel and what's happening around me. A dynamic organic order, (or permissible lack of discipline).

TLDR: why are we relying so heavily on cloud based search engines to organize hyperlinks? Local bookmarking tools could be so much better!

I've often thought it'd be great to have some kind of browser extension that used search queries to automatically tag and categorize bookmarks and threads of browsing history. Then, instead of having to manually put bookmarks into "folders", or think of tags, they'd be organized smartly based on the tree of searches and links that they are related to.

Here's a more concrete example: Say you searched for "curry recipes". You click through a number of different pages, finding one you like. When you bookmark it, bookmark would carry that "curry recipes" metadata, and be more searchable in that way.

A more complex example. Say you search for "gravitational force", and end up reading part of a blog post, then clicking through to another page and another. The third page is really interesting. So you bookmark it. Since the original search of "gravitational force" was the seed of finding this third page, that query would, by default be associated with the bookmark, even if it's not directly related.

This could be extended with all kinds of interfaces. For example, your browser could display a kind of "tree" of recent search queries at all times, which could be pruned, cleared, or added to at any time. A new tab would by default inherit the old tab's tree. Bookmarking would flow naturally from this, as a way of snapshotting a given thread of browsing.

Another, more complicated option would be to bookmark actual threads or trees of links themselves. A cluster of related wikipedia pages could be bookmarked together and traced to the search query that initiated their discovery.

If a page was implicated in multiple bookmarked clusters, it'd be easier to find it in your local bookmarks.

The upcoming annotation standard could end up being a great tool for extending this idea: https://hypothes.is/blog/annotation-is-now-a-web-standard/

I'm working on a simpler/cuter solution for habit tracking and quantification (http://willyoudidyou.com) but i think flow dashboard looks great for hackers and quantification enthusiasts that want total control and to create their own integrations.

From the local devserver instructions: >gcloud components update

Looks like there isn't?

But it is stored in the cloud?

Only google login? Guess I won't be trying it out then.

And what does it offer beside what any other tracking software offers? I still don't know after reading the page. Looks like the same thing a thousand others have done before.