Relay.app Agents - Build an AI team that works for you
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Relay.app the easiest way to create a team of AI agents that work for you across Gmail, Notion, HubSpot and hundreds of other apps. Relay.app agents work for you proactively day and night and get better over time.
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I’m really into tools that make remote collaboration smoother, and Relay looks like it could help reduce the back-and-forth a lot. It feels like something I’d use to keep teammates aligned without extra meetings.
Congrats on the launch! Framing agents as teammates you coach, rather than systems you configure, feels like a meaningful shift. How does Relay.app ensure that agents stay predictable as they’re trained over time, especially when feedback and workflows evolve and start interacting with each other?
Nice design, looks like Slack.
I’m interested in your LinkedIn agent. If I give it a list of people on LinkedIn (10,000+ users) and ask it to check their latest posts every day to look for potential needs for my service, can you do that? I wouldn’t want to give access to my own profile — if I visited 10,000 LinkedIn pages from my profile, I’d get banned)
Can your system handle this? I’ve been looking for a solution to this problem for a long time and haven’t found a good one.
@mykyta_semenov_ I liked your question so I asked. This is the answer the Relay.app Assistant provided...
Good news: Relay.app's LinkedIn scraping steps use third-party data providers, not your own LinkedIn account — so there's no risk to your profile.
Here's what's possible:
What we can do:
Use the "Get LinkedIn person posts" step to fetch recent posts from profile URLs
Run this on a schedule (e.g., daily)
Use AI to analyze posts for buying signals relevant to your service
Store results or send notifications when Is same list as are found
Considerations for 10,000+ profiles:
Each profile lookup counts as a scraping operation with associated costs
At that scale, you'd be looking at significant usage — I'd recommend checking with Support about pricing and rate limits for high-volume LinkedIn scraping
You'd need to store your list somewhere (e.g., a Google Sheet or Relay table)
Basic workflow structure:
Scheduled trigger (daily)
Loop over your list of LinkedIn URLs
Fetch latest posts for each person
AI step to analyze posts for buying signals
Action when a match is found (e.g., add to sheet, send notification)
Would you like me to build a smaller-scale version of this workflow so you can test the concept? You could start with a handful of profiles and scale up After validating it works.
Does the AI's 'Social Media Manager' feature actually work well? Can it function as an autonomous agent to manage accounts on its own?
Congratulations @jebank on the launch of the new platform! I've been a fan from the start and use Relay.app to power my company's operations as well as for client solutions. The pivot to AI agent focus has been stellar.
I started playing around with Relay and was able to build a workflow automation that works and is effectivr. Very happy with the product’s effort to value ratio!
Relay.app turning prompts into editable workflows with human-in-the-loop steering is the gap most agent builders skip. Approve or reject is easy to build. Letting someone re-prompt mid-run before the next step fires... that's closer to managing a junior teammate.