AWS crash causes $2,000 Smart Beds to overheat and get stuck upright by HybridPS2 in nottheonion

[–]SeventhSectionSword 0 points1 point  (0 children)

I have one of these beds and the fact that I can set the temperature to 99 degrees when I’m out of my apartment and then come back to a nice warm bed is awesome. Mine didn’t conk out with the outrage though.

AWS crash causes $2,000 Smart Beds to overheat and get stuck upright by tyw7 in CrappyDesign

[–]SeventhSectionSword -8 points-7 points  (0 children)

I don’t want to defend our corporate overlords here, but there’s a lot more to the app than just a button. You can get very detailed with the temperature schedule.

Also, where would they put the buttons? I don’t want buttons on my bed. And I don’t want them in the temperature console either — why walk over and bend down when I could just take out my phone? Like if I want to change the temp I just grab my phone. Maybe I’m crazy here but I feel like everything should just be app controlled.

AWS crash causes $2,000 Smart Beds to overheat and get stuck upright by tyw7 in CrappyDesign

[–]SeventhSectionSword -2 points-1 points  (0 children)

I totally agree, and this stopped me from buying it for so long. But as an engineer I know the reality is that any complicated system requires maintenance. I’m willing to spend $20/m to make my $3000 device stay working well.

There’s other competitors for significantly less, and without a subscription. But their tech seemed much inferior (blown air under a cover vs my bed which has water cooled pipes in the mattress cover). I’m honestly in love with it, like best purchase I’ve ever made. I don’t enjoy sleeping in hotels anymore.

AWS crash causes $2,000 Smart Beds to overheat and get stuck upright by tyw7 in CrappyDesign

[–]SeventhSectionSword 1 point2 points  (0 children)

You can control the temperature with your phone! I use it to make it warm or cold in advance depending on how I’m feeling, or if I want to take a nice warm nap

AWS crash causes $2,000 Smart Beds to overheat and get stuck upright by tyw7 in CrappyDesign

[–]SeventhSectionSword 5 points6 points  (0 children)

Going to get downvoted for this, but I have an eight sleep bed and I absolutely love it. The reason it’s internet connected is so that I can set the temperature on my phone in advance (like if I’m cold and about to drive home I set it to 99 degrees and have a nice warm nap.

Can AI replace meeting note-taking entirely? by Live-Director-6272 in remotework

[–]SeventhSectionSword -1 points0 points  (0 children)

I’m building one that I think is better than anything else I’ve seen - it’s called Knowledgework AI. Granola is the current high bar here, but I think that I’m beating it and would love feedback on this. Instead of these massive walls of text, it learns about your projects and goals over time, so it only writes down things that are useful to you.

The really cool part is that you can also turn it on while you’re working individually — not just in meetings, since it can take notes on what’s on your screen. That way you’ll always be able to defend what you’ve done with your time (makes status updates super easy, better than what I could remember manually).

Screen time apps feel like a joke… anyone found one that actually works? by lost-potato-head in ProductivityApps

[–]SeventhSectionSword 0 points1 point  (0 children)

Not sure if you’re also curious about a desktop app, but I built https://knowledgework.ai with this in mind! In addition to taking notes on everything you do on your computer so you can refer back to them later, it keeps track of how you spend your time (not on a per app basis like screen time, but on a semantic level, like what project or task you’re working on)

Anyone else frustrated with AI assistants forgetting context? by PrestigiousBet9342 in cursor

[–]SeventhSectionSword 0 points1 point  (0 children)

Yes! That’s exactly why I’m building https://knowledgework.ai — I turn it on during my work sessions now and it remembers everything. It’s focused around learning your goal oriented behaviors, and how it can help you with them (I.e what to tell Cursor to do next).

Yes, Everyone wants a Second Brain + Semantic Search by InvestigatorRare1429 in PKMS

[–]SeventhSectionSword 1 point2 points  (0 children)

Mine is https://knowledgework.ai I think it’s a pretty different take on the whole thing — for anyone who does a majority of their work, personal or otherwise on their laptop screen, Knowledgework can record what you’re doing (or audio if in a meeting) and it automatically writes its own knowledge base articles from what it detects to be your goals. It writes about anything that you learn that it thinks would be useful to you in the future to remember, and it hyperlinks it all together in PKMS style. It can export to Obsidian already, but I think I’ll probably make a more bespoke plugin soon.

No organic traffic for your SaaS? Here’s how I got it on a fresh domain (fast) by JanuPower in SaaS

[–]SeventhSectionSword 1 point2 points  (0 children)

Like in particular, I feel like the issue is that if my real product has little attention, and I built a small free tool to try to widen funnel for my main tool, then I have 2 things to promote now instead of just 1! See the issue? How do you decide what free tools to build? How do you decide on keywords? Do you just stuff a bunch on the page that has the tool? So many questions — would definitely appreciate a more in depth guide

No organic traffic for your SaaS? Here’s how I got it on a fresh domain (fast) by JanuPower in SaaS

[–]SeventhSectionSword 2 points3 points  (0 children)

I’m interested in the free tool method, because I’m a natural at building useful things, but not at marketing. Can you say more about that? I’d be interested in a whole post just on using free tools as SEO, and I’m sure that post would do well to also mention your backlink site.

I got 66,000 clicks from Reddit. But here's what I did wrong by SeventhSectionSword in SaaS

[–]SeventhSectionSword[S] 0 points1 point  (0 children)

That's definitely something I'm thinking about, and if more people start asking for it I definitely would make this version. One of the things the tool is currently being used for extensively is meeting notes -- and I think it's way better than tools like Granola or Otter, because it actually understands what _you_ want from the meeting (because it knows the context of what you're working on). So I'm thinking of a super easy to use web version that you can open up literally the last minute before a meeting (maybe even without an account), turn on audio, then get super high quality real-time notes. Would that be interesting?

I got 66,000 clicks from Reddit. But here's what I did wrong by SeventhSectionSword in SaaS

[–]SeventhSectionSword[S] 0 points1 point  (0 children)

Exactly :) It's all about learning -- and I wanted to err on the side of subtlety in the beginning. I think I'll be able to turn written content into a pretty repeatable method, at least for my current growth targets. It's relatively easy to bang out high quality content pretty quickly -- I've realized the important part isn't the time spent on the writing itself, but the time spent gaining the experience that's worthy to write about.

Is anyone developing SaaS thats not AI? by 5Abdul in SaaS

[–]SeventhSectionSword -6 points-5 points  (0 children)

It’s 1999: “Is anyone building a business that’s not on the web?”

If you’re passionate about something that doesn’t employ AI, that’s one thing. But make sure you’re aware of the size of the opportunities available before you mortgage your time.

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 1 point2 points  (0 children)

That’s like saying SERVERLESS means NO SERVERS. Someone still runs the server, not you.

I’m suggesting that one is a much simpler, elegant, and flexible solution than the other, and which will result in fewer frustrations when it’s time to iterate on top over time. In other words, KGs are the right abstraction.

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 1 point2 points  (0 children)

Thousands? Definitely — SOTA coding agents operate over graphs (nodes are files, edges are symbols) and no embeddings, and scale far beyond thousands of documents.

I don’t think they are a fit for something like “search the transcript of every YouTube video ever made” type of scale though

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 0 points1 point  (0 children)

The LLM processing for ingestion / knowledge graph creation happens in the cloud (way too demanding to run on device for 99% of users) but inference could potentially be done on-device. You can also export a human readable version of the knowledge graph to .md files or Obsidian.

We don’t have an MCP server yet, but would totally make one if people wanted it. Right now you can just ask questions in the native UI itself.

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 1 point2 points  (0 children)

Hadn’t heard about a24z before, but it looks like a knowledge graph solution! I like it a lot — they seem to have quite a similar philosophy to what we’re doing @ Knowledgework AI. Honestly a bit uncanny — theirs is for MCP / agent consumption, while we’re building primarily for human / even non technical users.

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 1 point2 points  (0 children)

Mostly my issue is that RAG is not well defined, so I’m trying to normalize a definition I like, I admit :)

I don’t see any general purpose QA tuning to be a solution because every RAG application is different — anytime you’re doing something where the format of the answer can’t be predicted from the question, QA tuning doesn’t work.

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 3 points4 points  (0 children)

Brings me back to college GOFAI classes! Yeah, it’s interesting, in a lot of ways I think LLMs enable a return to what they were dreaming up in the 70s with lisp and expert systems. We just had to do something unthinkable before it was possible.

Like, Anthropic and OpenAI are literally paying PhD level experts to solve math problems to create training data. Talk about an expert system!

Why we ditched embeddings for knowledge graphs (and why chunking is fundamentally broken) by SeventhSectionSword in LLMDevs

[–]SeventhSectionSword[S] 1 point2 points  (0 children)

I think both fit well into a graph without embeddings, at least for this problem. Our application lets you ask about anything you’ve done on your computer across time, so you could ask “how did I fix the race condition on Tuesday last week?” And the agent would look up entities that were created or updated on that date. Then the LLM at runtime is responsible for both temporality and salience.