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quarkcarbon279
searching PlanetScale…
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15 ms
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quarkcarbon279
2mo ago
love the simplicity of this article. Reminds me so much of foundational software engineering. i love databases def not cosmosdb
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The hive mind for your product
(rtrvr.ai)
2 points
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quarkcarbon279
2mo ago
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1 comments
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quarkcarbon279
2mo ago
"These weirdos have eyes up above. They can read lips from space." from Pluribus. Watched Pluribus and couldn't shake one idea: Everyone knows Carol. Whoever she calls has the full context and just does the thing. Isn't
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quarkcarbon279
3mo ago
I'm so surprised you didn't add your agent on your own website? And the same fundamentals of a browser agent why you can't achieve everything with APIs alone apply here too inside a website. What's your take? We have bee
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quarkcarbon279
3mo ago
As a developer I have many times seen Claude's models confidently hallucinate, jump into conclusion. Fable though I used just for 2 days, didn't experience it much in the short-term.
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quarkcarbon279
6mo ago
The reason we open our client side code is to bring in the trust in putting rtrvr's DOM intelligence in your web apps - https://github.com/rtrvr-ai/rover/tree/main . Our monetization is super straight fo
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Show HN: AI agents should browse your site, not call your API
(rtrvr.ai)
2 points
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quarkcarbon279
6mo ago
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0 comments
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Show HN: MCP is for tools. A2A is for agents. What's for websites?
(rtrvr.ai)
5 points
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quarkcarbon279
6mo ago
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0 comments
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Show HN: RoverBook – PostHog for AI Agents
(github.com)
4 points
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quarkcarbon279
7mo ago
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0 comments
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quarkcarbon279
7mo ago
PageAgent doesn't have the strong page understanding - semantic tree representation of the pages - it's just a flat DOM basic stripping of HTML - which makes it hard to navigate shadow DOMs, even same origin iframes for that matte
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Show HN: Rover – turn any web interface into an AI agent with one script tag
(github.com)
8 points
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quarkcarbon279
7mo ago
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5 comments
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quarkcarbon279
8mo ago
Hey, we have various configurations available even in this very early preview: https://rover.rtrvr.ai/docs/configuration and you can turn off telemetry so we don't collect the data . As a website you can also conf
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quarkcarbon279
8mo ago
We have seen people hire consultants to build RAG pipelines, maintain them only to be QA Agent when the world is shifting losing traffic to the likes of ChatGPT and Google comes up with a protocol that makes you do more work with WebMCP ess
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quarkcarbon279
9mo ago
what permissions are you talking about? No user permissions/any insecure permissions are needed to navigate cross origin iframes, shadow DOMs and likewise. It comes down to your architecture choices and capabilities - rtrvr can navigat
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quarkcarbon279
9mo ago
Let's start the year of vibe scraping! Curating websets and powering apps and sales pipelines from data curation to data entry all in one prompt. Also, if you got hot takes/ideas on accessing the web: Security, Public info Vs Bot
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Show HN: Live VNC for web agents – debugging native captcha on Cloud Run
(rtrvr.ai)
12 points
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quarkcarbon279
9mo ago
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0 comments
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quarkcarbon279
11mo ago
let's go!! after a long time
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quarkcarbon279
1y ago
Yeah when building for consumers on their devices, security is of outmost importance. I tried on couple use cases too. They currently use Sonnet and this is very initial version so it sometimes fails on picking the right tools. Some actions
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quarkcarbon279
1y ago
World of LLMs or not, development should always strive for being fast. In the LLM World, users should always have the controls on accuracy Vs speed. (Though we can try for improving both and not one way or other). For eg at rtrvr.ai we use
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quarkcarbon279
1y ago
How did you keep your costs so low? Eval costs especially with Agents can go up a lot and what did it cost for other agents?
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quarkcarbon279
1y ago
It's coincidental that Anthropic also published recently on similar finds and approaches on multi agent orchestration and memory management https://www.anthropic.com/engineering/built-multi-agent-rese...
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quarkcarbon279
2y ago
I have been following your product for a while now. Pdf editing is a hard problem, but good to see the progress you have made!
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quarkcarbon279
2y ago
The credit card data is massive. Lemme play around with your agent.
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quarkcarbon279
2y ago
What's your thought behind having an exchange? You want everyone to collaborate on creating big datasets for training or individual use?