- Regarding: “Find the emails of everyone who reacted to my latest LinkedIn post and send personalized outreach”
A forewarning and maybe advice to apply some heuristics — on another HN thread I received the brilliant advice to prefix my first name on LinkedIn with an emoji.
Now, whenever I get a message on LinkedIn that starts with “Hello [emoji] [first name]” I know it was automated spam, and I reflexively block the sender.
- It seems like this collection of tools gives you a ton of lethal-trifecta risk for prompt injection attacks. How have you mitigated this—are you doing something like CaMeL?
- what's interesting about this one is that their claims about what makes slashy different are almost entirely wrong... almost all the big models let you connect and do all of the things mentioned. Not understanding MCP at all is hilarious. If an agent has toosl to access multiple data sources it will make calls across them to resolve things, not sure whatever claiming but there's no way you are actually indexing at scale and probably doing just the exact same thing.
by mritchie712
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- How does the scraper work? e.g. LinkedIn aggressively blocks scraping and you'd need to be logged in to see most things you'd care about. How do you handle that?
by nikolayasdf123
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- > we build own MCP
> we use existing models via their API
> we use existing tools/services/platforms
> ChatGPT/OpenWebUI-like web interface
> mostly uses text, no image, no desktop control (?)
hardly can see what this app brings. also, it is paid and requests are routed to someone else? shouldn't this be free, local, and with bring-your-own–key already with things like ollama/llama.cpp?
- nice launch!
Do you worry that AI browser agents (comet etc) will eat this market of light integrations? Since the user is already logged in to various services like linkedin/email etc it's easy for tasks to be scripted together - or fully prompted.
also what did you use to make the video? looks better than most looms.
by BrandiATMuhkuh
1 subcomments
- Congratulations on the launch.
I think it's a smart move to not use MCP here. Because your LLM really needs to understand how the different integrations work together.
Question: you say you do semantics search. If I understand correctly that means you must somehow index all data (Gmail, GDrive, ...) otherwise the AI would have to "download/scan" thousands of files each time you ask a question.
So how do you do the indexing?
For some background: I'm working on something similar. My clients are architects. They have about 300k files for just one building. With an added 50k issues and a couple of thousand emails. And don't forget all subcontractors.
Would Slashy be able to handle that?
by hgaddipa001
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- Here's a fun launch video we made as well :)
https://x.com/raidingAI/status/1955890345927172359
- Anything that gives any sort of system access to sensitive data and lets agents carry out actions on basically unchecked input sounds like a complete security and privacy nightmare by design.
- > We use a single agent architecture (as we found this reduces hallucinations)
Do you have a benchmark for this? in my experience, hallucinations have nothing to do with what framework you use.
by namanyayg
1 subcomments
- Slashy is great and the founders are so talented. I've been following Pranjali on Twitter for a while -- they've got great weekly videos where they keep releasing new features.
The team ships fast and I'm excited to see where they go
by digitcatphd
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- I really hate to be the curmudgeon here but won't foundation models end up having their own AI workflows like the GPT store but with MCP?
I could really envision saving an 'AI Workflow' template with integrated MCP clients that will balloon once adoption is reached. Right now adoption is low so its not a priority for them, once it is, they will tack it on.
I really wish this the best of luck its a great concept, but surely you must be thinking ahead to plan for this situation.
by FergusArgyll
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- How much time do you spend in gmail now? have you continued to track that?
by HeadphoneJunkie
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- This is quite useful where has this been all my life
Email drafting is decent since it reads my drive, previous emails, and everything else so it has a good bit of context
by nikolayasdf123
3 subcomments
- > scraping LinkedIn profiles
is this legal? last time I checked linkedin.com/robots.txt do not allow scraping, unless explicit approval from linkedin
by Jayakumark
1 subcomments
- Looks nice, but little hesitant to give access to emails. What model is being used on backend ?
- > connects to apps and does tasks
Gosh, I hope it also does things too!
by brazukadev
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- Honestly, what have HN become?
These AI projects are looking more and more like shitcoins and their creators are shitcoin shillers.
by Emma_Schmidt
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by hugedickfounder
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by hugedickfounder
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