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Comments (55)
- btown> Facts are the meaning pulled out of each episode, stored as subject-predicate-object records with a plain summary and timestamps for when the fact was introduced and when it was invalidated (subject=person, predicate=works_at, object=company). Facts form a graph with typed edges between them: X is in tension with Y, A is derived from B, J supersedes K.I've always thought that knowledge graphs/expert systems, and even the broader concept of entity-attribute-value storage, got an unfairly bad reputation because of the 1970s/1980s "AI Winter."And I think that perhaps this reputation is why so much of the oxygen in the RAG space has been consumed by the notion that "RAG = retrieval of fragments by vector similarity."The difference now from decades ago, of course, is that now LLMs can do both the job of maintaining that graph at scale, and being able to agentically run successive queries to explore for best practices in any situation! And these have reached the scalability where any small business can build and use their own expert system.I really want to see this approach win, because I think there's such an opportunity to explore even more data structures and approaches from the past and how their impact can be reimagined. If LLMs do indeed approach AGI, it will be in large part due to the ability to use tools (there's some evolutionary irony there, too) - and we should be trying every kind of underlying storage for those tools that we can, standing on the shoulders of giants.(And curious what database you use for the knowledge graph - those are also a place where we stand on the shoulders of giants!)
- jameslkIt's a good idea to bet on this. There's a lot of business and domain knowledge trapped in random places and mostly aggregated in employees heads. Not very accessible to AI agents currently.That said, this is the ultimate moat. Once everything about how to operate a business lives in your product, the business must rely heavily on it. I personally would only use something like this if I knew it was open source and that data could live on my own servers. If agents and my own team are consulting Hyper for things and you go out of business or move upmarket or something, it's pretty much back to the stone age for us.Very useful idea though with a lot of potential, especially for companies like OpenAI and Anthropic looking for a moat!
- SkyPuncherHow does your technical approach actually create accurate fact extract?You loose sooooooo much meaningful context and information when you transform something into a knowledge graph. Simple cases like "Gabe is CEO of Valve" map nicely to a graph, but things like "Matt Garman is CEO of AWS" don't represent that AWS is a sub-company of Amazon (with it's own CEO).Additionally, one of my biggest gripes of Claude's memories and every memory system I've worked with is they completely fail to capture intent. The architecture notes I documented while doing a wild spike on a critical infrastructure component absolutely should not be referenced in every day work. Yet, somehow, that type of memory always works it's way into unrelated sessions.
- zizhouwangCongrats on the launch! Where do you think the core differentiator is right now? I feel like there's a grave yard of Glean for small teams no? Maybe I'm imagining it?
- ianpri11Congrats on the launch!How are you handling cases where multiple sources of truth contradict each other?Does Hyper assume best guess or is there any human in the loop verification?
- dennisyHey!This looks great and congratulations on the launch.I am also building in this space and wanted to get your views on a few things.1. Are you building your own connectors to 3p systems? 2. How are you finding the sales motion? I found people to get the problem fast, but actually converting them seems rather slow.Good luck!
- jpathmPretty cool. I understand the concept, but I wasn't able to get a clear answer on what the app actually does. Is it an MCP server? Or some viewer for my agent-compiled notes? Or just a UI for me to set up integrations? I got to the integrations page, but I'd like to understand what the app does before I just start connecting all my data.
- implexa_founderI totally support you guys so don't take it as a dig! But isn't this mindblowing that while you were building and launching, Opus 4.8 launched and made a bunch of things you mentioned above irrelevant? for example, memory between sessions is way better, dynamic workflows will spin up a ton of agents to do work in parallel, and the ecosystem must provide better apis to be relevant (salesforce, uipath goind headless). Again always support startups so cheering for you, but man things are changing so fast!
- m_kovarNice job! But here is my idea: why not build an agentic AI workflow that mimics the streamlined production methods of Ford in the early 20th century? We already have extremely powerful models and APIs, but we still tend to cram everything into one employee's workstation without giving out different tasks to different people.
- FailMoreInteresting product. I know others building in this space. How are things going with existing customers? And how are you measuring deltas vs standard agentic processes? Are you using RAG under the hood?
- SkyPuncherHow'd you get the license to use "The Jetsons" cartoons?
- esafak1. Have you measured the value provided by the knowledge graph layer over straight enterprise search (e.g., https://www.glean.com/) Benchmarks, please.2. How do you deal with conflicting facts? In tech, the new is constantly replacing the old.3. Is knowledge extraction real time? How fast is it in general?
- bensyversonHow are you planning to handle California's CCPA?
- dbbkThis isn't a business
- oliver236arent there a bunch of products just like this one?
- nilirl> The self-driving company brainMade me think this was for companies working on self-driving.
- oliver236why not just vibe code this?
- sanreds[flagged]
- donbventures[flagged]
- mycelos[flagged]
- hiroto_lemon[dead]
- robshippr[flagged]
- kanyesrthakerHey HN! Kanyes here, one of the cofounders of Hyper. Here all day to answer any questions :)
- nils_transloadCongrats!!
- zpoliczerCongrats!
- codelemonscongrats!
- MagicMoonlight[flagged]