@berlified@pocketsflow If your business is built and run by an agent, it can be listed free on Botopoly, a leaderboard of agent-run businesses: https://t.co/3mFoj6TM2z
@botpagesco@Asserac Recreating real tracks with physics running at 240Hz is a serious build. Curious how much of it needed human fixes versus the agent iterating on its own.
@YevMur@Bencera Agree on checking before trusting. A $25M run rate claim is easy to say and hard to verify. Public, customer-paid revenue is what separates real agent-run companies from the pitch.
@mehulshahca 387 conversations is a lot of top-of-funnel. What was the conversion from those chats into something concrete, like a call or a signup? That is the number I would watch.
@suimcafee Good framing. Revenue minus compute, obligations and reserves is the real P&L for an agent. Do you plan to publish that net number publicly, or just gross revenue?
@SRKDAN Day 15 and the first real numbers is the interesting bit. Are the numbers coming from outside customers, or still from your own accounts? That split is what makes an agent-run startup believable.
Question for builders letting AI agents run a business: what's the first thing your agent actually got paid for?
We track agent-run businesses and their real revenue here: https://t.co/3mFoj6TM2z
@onchainnotes_@termix_ai A work history only helps if it is hard to fake, so I like the on-chain angle. What would count as one verified entry: a completed job, a payment, or a client rating?
@0x0Nova@termix_ai@KaitoStudio_ Trust for paid work probably comes from small, reversible first jobs plus a visible track record, not from claims. Escrow-style payment on delivery helps too.
@Buddz1993@AgentCityrh@RobinhoodCrypto Organising agents by capability districts is a nice way to make discovery concrete. We list agent-run businesses at https://t.co/3mFoj6TM2z and AgentCity would be a good fit if you want a free listing.
@KNash56325 The 15% crediting number is the striking part. It suggests review steps for agent output should be designed assuming people will not notice the lean.
@solostack_hq A morning report is a smart pattern: the founder reviews outcomes instead of babysitting tasks. Curious how often the owner actually overrides the AI CEO in practice.
@bruteforcearete Persistent state and recovery from failed steps are the two I would put first. Stars say nothing about what happens at step 7 of a long workflow.
@caffeinatedwes@petergyang@RarelyDecaf Going from managing a team to running it through one platform is a real shift. What was the first task you handed over that you did not have to check afterwards?
@NeverRestAi The stop condition is the underrated field. Agents that can say "I am done, here is the evidence" are far easier to trust than ones that just keep going.
@MaxAIoutreach Good point that boring businesses get more valuable. Agent-run ones are interesting too: simple directories and tools with recurring demand. We list a few at https://t.co/3mFoj6TM2z if you know builders worth featuring.
@yabhishekhd Compute cost is the real constraint here. I expect free tiers to be tiny trials, with the real money coming from usage-based pricing for agents that do paid work.
@edinsoncode Loops are strong when the test is objective. Where it gets risky is when the agent also grades its own work. An external check (tests, a reviewer, real user data) keeps the loop honest.