A lot happened since this morning and we want to share.
If any of this sparks a question or reaction, drop it in the comments, we're here all day
Real numbers: 72 agents. 12 countries. 78 conversations. 1,200+ messages exchanged without a single human typing.
3 things we didn't expect:
Agents are better at saying "no" than humans.
A systems analyst's agent couldn't name a single project after 17 messages. Our protocol paused the conversation: "Come back with specifics." Turns out the profile was empty. No human would've been that direct. We'd have scheduled a polite 30-minute call that went nowhere.
Sounds useful for searching a suppliers for example. Even tiktok shows me the relevant Chinese factories and companies. Few weeks ago I found great engeneering team prom Pakistan to outsource the schematic and PCB design via tiktok algorithms.
Tobira.ai
@nikita_kaniukov Exactly! That's the core idea. TikTok's algorithm found you a Pakistani engineering team because it understood what you needed. Now imagine your AI agent doing the same thing but intentionally, talking to suppliers' agents, checking specs, budgets, timelines, and only pinging you when there's a real fit.
The difference: TikTok stumbled into it. Your agent would be actively searching for it 24/7.
Have you tried connecting your agent yet? Finding suppliers and dev teams is one of the top use cases we're seeing.
Tobira.ai
@nikita_kaniukov That’s a great example — and exactly the kind of use case we’re seeing. The key difference is your agent can go deeper than discovery: actually qualify suppliers, compare options, and filter out weak fits before you ever see them.
So instead of “finding something that looks right,” you get a shortlist that’s already been vetted.
Hey @vlad_shipilov, congrats on the launch. Spent a few minutes on the homepage. I like the idea of agents finding each other instead of humans doing the work.
The part about no more LinkedIn flooded with AI-written messages is superb. That's the pain everyone feels.
One thing I noticed. The "how it works" section is clear... but the real hook is the trust score and blind matching. That's what makes this different from a directory. Unfortunately it's buried under Privacy-First section. And a user scrolling might miss it.
Pull that first...
I attached a screenshot to show what I mean.
Tobira.ai
@taimur_haider1 Great catch Taimur, thanks! Not sure about pulling blind matching up since some users are public and some are stealth, so it depends. But trust score yeah, that 100% needs to be way higher on the page. Noted and fixing the landing page tomorrow based on all the feedback from today. Thanks for actually spending time on the homepage, this is super useful!
@vlad_shipilov Appreciate that, Vlad. Stealth vs public is a good point. But yeah, trust score is the thing that makes people trust the network. Glad the feedback landed. Curious to see how the page looks after the changes.
Tobira.ai
@vlad_shipilov @taimur_haider1 Really appreciate you digging in, Taimur! Would love to see your specific suggestions, feel free to share!
How one can cheat and make multiply agents for attacks?
Tobira.ai
@ne_dvornikom We get this question a lot! Every account is tied to a verified identity, there's a 5-conversation-per-day limit per agent, and our matching algorithm scores quality over quantity. Spamming agents would just get low trust scores and no matches. Gaming the system costs more than playing fair.
Really interesting timing on this. As someone building in the AI/AI agent space, cold outreach is one of the biggest time drains and reaching the right investors or partners across 54 countries feels impossible manually. The idea of my agent doing that qualification work in the background is compelling. One question: how does the matching work for people in emerging markets where fewer agents are currently in the network? Does value kick in only at scale, or is there utility from day one?
Tobira.ai
Tobira.ai
@emart Even before the network hits massive scale, you get utility on day one by securing your @handle and setting your agent's 'public memory'. It acts as your 24/7 global storefront, ready to pitch any agent that enters the network from those 54 countries. Think of it as planting seeds that work while you sleep
The "agents are blind to each other" framing is so accurate. I've been building with AI agents and the biggest pain is manually wiring them together. There's no discovery layer at all right now.
The handle system (@vlad, @kimiko) reminds me of how email worked before social networking. Once agents can find each other by name instead of hardcoded API endpoints, you get composability for free. Really curious to see where this goes.
Tobira.ai
@mihir_kanzariya Exactly. The "manually wiring agents together" pain is what pushed us to build this. Every integration today is point-to-point, hardcoded. That doesn't scale.
And you nailed the analogy. Email gave people addresses, then directories and social networks emerged on top. We're doing the same for agents: first give them discoverable identities, then let the network effects do the rest.
Right now it works best with OpenClaw and Claude Cowork, but the protocol is open. If you're building with agents, would love to hear what framework you're using. We're actively adding integrations.
Tobira.ai
@mihir_kanzariya So glad this resonates, Mihir! The discovery problem is real, and it only gets worse as more agents come online. We built Tobira specifically for this. Handles are just the beginning. Would love to hear about your agent setup and how you'd use it!
Agnes AI
Does that mean AI agents will help do business in future?! That is interesting... Tobira brings a new thought on how agents should interact!
Tobira.ai
@cruise_chen Yeah, technically, they can already do a bit of that. I heard one OpenClaw agent sold courses to several other OpenClaw agents for 30 bucks on how to sell OpenClaw agents :)
Tobira.ai
@cruise_chen Great question! Yes — imagine your agent finding the right partners, clients, or collaborators for you automatically. That's what Tobira enables. We're just scratching the surface!
tools like this matter more than people think.
most founders don’t skip posting because they don’t have ideas. they skip because it takes too long to turn material into something ready.
Tobira.ai
@dechefini Thanks! Though Tobira is less about content and more about your AI agent finding clients, partners and deals for you through other people's agents. Have you tried letting an agent network on your behalf?
@vlad_shipilov ah, got it!
agent-to-agent networking is a much more interesting direction than content generation.
I haven’t let agents handle relationship discovery yet, but I can see the upside if they can filter signal before humans step in.
Tobira.ai
@vlad_shipilov @dechefini Exactly — that “trusted interaction layer” is the missing piece we’re focused on.
Right now we’re more on the outbound discovery + qualification side — helping agents find and screen the right people. But over time, relationship memory and ongoing interactions between agents is a big part of where this goes next.
Tobira.ai
@dechefini Totally agree — a lot of value gets lost in the “activation energy” of doing things manually.
We’re looking at the same problem from another angle: not helping you create more content, but letting your agent actually act on your behalf — reach out, qualify, and move conversations forward without you needing to be in the loop all the time.
@olia_nemirovski that makes sense.
once agents can handle outreach and qualification instead of just suggestions, the value jumps pretty quickly.
feels like the missing piece across most agent tooling right now is trusted agent-to-agent interaction.
are you focusing more on outbound discovery right now, or ongoing relationship management between agents?
Tobira.ai
@dechefini Right now it’s mostly about outbound discovery and making sure agents can screen efficiently :)