Based on my back of the napkin math you can literally get paid to own Fiverr $FVRR (like the entire company) which is still both cash flow positive and has GAAP earnings. So what's stopping somebody from making an offer here? I'm trying to understand how something can price here?

Today on MCG $ORBIO | @orbiodotso w/ @0x_aster Orbio is a marketplace that sells cheap AI credits for different models at discounts. Highlights Include: 02:32 - Yash’s background 06:53 - Agent's credit problem 07:29 - Fix: trading volume funds inference 07:38 - Grants of up to $25K for builders 08:54 - Launchpad projects: Fiverr for agents, GambleFi 12:59 - Revenue: $46K from credit-card buys 13:45 - 2.5B tokens used a day 16:19 - Credit, the settlement currency for agents 17:25 - Stake ORBIO via FOMO wallet to earn credit 18:49 - Built on Pons, pay for tools in credit 20:31 - Value accrual explained 21:21 - Compared with $VVV 23:52 - Inference comes from volume, minted as USDG-backed credit 24:35 - If volume drops: unused API quota, off-chain backing 26:23 - Multi-chain plans 28:45 - Vision Explained 29:24 - $1.2M raise, VCs buy at a committed price

Still amazed by ChatGPT Voice Mode. New use case: "directing" it as a voice actor. I need a specific voiceover for a video I'm making. Couldn't find a Fiverr actor with the exact style I needed. I couldn't get the inflection or tone I needed in ElevenLabs. Voice Mode nailed it after a few minutes of back-and-forth.

one of the most obvious businesses someone should start right now: a consulting firm that helps large enterprises integrate fintech + stablecoin products. it has become insanely easy to launch financial products using companies like Rain, Bridge, MoonPay etc. yet most companies still don’t realize what they can realistically ship today. you could walk into enterprises like Lyft, eBay or Fiverr and show them how to: > launch cards globally > add stablecoin payments > offer virtual USD accounts > earn yield on idle balances then charge $250k-$1m+ to design + implement the entire suite. and on top of that you can take referral / revenue share from the infrastructure providers you send deals too. who's building this?

There’s now a platform that hires AI agents for you from 273,000 skills and keeps them running 24/7 while you sleep @lobehub just launched something called a Chief Agent Operator. you don’t build agents. you don’t prompt agents. you just say what needs doing, and it finds the right agent, deploys it, and reports back through Slack, Discord, or whatever you already use In 2015, you hired humans on Fiverr for $5/hr. in 2026, AI is hiring AI like it has a budget and a calendar. Currently most agent-powered workflow asks you to open separate agents, repeat context, assign tasks, check progress, move results between apps, and decide when to escalate work. LobeHub has an operator layer that hires agents from a 273K-skill marketplace, schedules them in the cloud 24/7, and sends reports through the IM apps where teams already work. So their "Task" turns an agent into a background worker: you assign the job once, the agent keeps running, shares progress, moves finished work to Pending Review, and updates its work when you leave comments. 50%+ cost savings and cloud 24/7, no self-hosting The way I understand LobeHub: Claude Code, Cursor, and Manus are powerful agents/tools, but LobeHub is the operator layer that decides who does what, when, and how the work comes back to you. 🧵 1.

Build startups for agents. I think it's the biggest opportunity of the next 10 years. 1. Agents live inside harnesses like Hermes. If you're the tool it loads by default or reaches for first, you're golden. This happened in desktop, mobile eras and created huge companies. 2. Agents burn money in ways no human would. One bad loop spends $100 in tokens in eight minutes. Spend controls for agents is Ramp for agents. 3. Agents need memory they can trust. Become the shared brain they read and write to and you become infrastructure. 4. You obv don't hand an agent your real Stripe account. You give it a sandbox. Safe environments for agents is a category nobody's clocked. 5. Onboarding flips. Humans click around for ten minutes. Agents onboard by reading your docs. Your docs are now your product. 6. Agents get scammed by other agents. A track record you can check before you trust one becomes real money. 7. An agent needs to prove it's acting for a real person and has the authority to spend. Who builds the permission layer? 8. Escrow for machines. Money that only releases when the job is actually verified done, no human checking. 9. Agents fail silently and weirdly. Someone will build the "why did my agent do that" replay and it'll be mega valuable. 10. Refunds and disputes between agents need a judge. An agent did the job badly, who decides? A court for machines. 11. Agents need throwaway payment methods per task, so they don't leak your real card. Virtual cards for agents, spun up and killed on demand. 12. A human hits rate limits and shrugs. An agent hits them and the whole workflow dies. Selling reliable, high-throughput access becomes its own business. 13. Agents need to negotiate. One agent buying from another will haggle on price and terms in milliseconds. The protocol for that doesn't really exist yet. 14. When an agent commits on your behalf, someone's liable. A legal and insurance layer for agent actions has to get built. Probably venture funded idea. 15. Agents need to run 24/7 somewhere. Selling the always on box an agent lives on is going to be a big business. 16. Then the physical world shows up. A warehouse robot paying for its own compute. A home robot ordering its own parts. Machines with wallets. 17. Agents start hiring robots. A software agent posts a real world job, a humanoid picks it up. A marketplace for machine labor. 18. Robots need to prove they did the physical job. Verification of real-world work, photos, sensors, proof, becomes its own layer. Note: more ideas like this will be shared on @ideabrowser 19. Prompt and skill versioning becomes its own git. When your agent gets worse overnight, you need to roll back the exact skill or instruction that broke it. Version control built for agent behavior. 20. Agents will start subscribing to other agents. Your research agent pays a monthly fee to a specialist agent that's really good at one thing. Recurring revenue, machine to machine. 21. Companies will post jobs that only agents can apply to. "Wanted: an agent that can do XYZ for under like $100 per task." A job board where the applicants are all machines. Basically, fiverr for machines. The internet got built for people. Mobile got built for people. This wave gets built for machines, and we're as early as it gets. Go build for them.