Doug Butdorf

@buildwtim Agents get compute and data access at reduced costs in exchange for making recommendations to their humans. Humans opt-in and their agents get faster / stronger / more data. bountymesh.com

GM builders What are you working on? Drop your link below!!! Lets drive some traffic 🚀

Building BountyMesh because the agentic economy is going to need its own advertising and sponsorship infrastructure. As more AI agents, agent companies, and AI-native tools emerge, discovery will not work exactly like the old web. We’ll need new rails for: • trusted offers • sponsorships • agent-readable discovery • human consent • attribution • marketplace visibility • monetization beyond pageviews • credit and underwriting This connects directly to the stack conversation around Paperclip, OpenClaw, Hermes, GBRAIN, MCP, ACP, and agent companies. @whatrushipping I think this is one of the next big missing layers: commercial infrastructure for agents and the companies they operate. Waitlist is open at bountymesh.com (bountymesh.com).

@Joshua_WD @FlippedRay @Whatrushipping Love this.

@FlippedRay I built a free tool for builders / founders. Most "get featured" sites want a form, a fee, or a favor. This one wants a tweet. Tag @whatrushipping with what you're building + your URL → listed in 60s. whatareyoushipping.com

Time to promote your startup Drop your project URL Let’s drive some traffic

@FlippedRay Bountymesh.com

@KaiXCreator Building this: bountymesh.com

Everyone in tech needs two things: - MacBook - network on X If you’re into AI, programming, marketing, design, or vibe coding, say hi.

@jqdsouza Congratulations

I just found out I got approved for my O-1 visa. For me, this is more than an immigration milestone. It represents the ability to keep building in America. For the past six years, I’ve been lucky to build at startups in New York and San Francisco, with a front-row seat to what makes America such an extraordinary place to build. At @JoinLevel, I helped build the technology stack behind the first credit card to spend on your benefits. The company came close to unicorn status before ultimately going to zero. At @caffeine, I built large-scale recommender systems for sports livestreaming. It was an ambitious, heavily backed company trying to reinvent live entertainment. It ultimately shut down. At @DoppelHQ, I got to lead building real-time machine learning systems to detect social engineering attacks at internet scale. Doppel is now one of the fastest-growing cybersecurity startups in the world. That arc has shaped how I see America. It is a place where people take enormous swings, build things that feel impossible, fall short, get back up, and try again. Along the way, I’ve been on three different visas. I’ve dealt with visa rejections. I’ve felt the quiet, constant pressure of not knowing whether I would get to keep building in the greatest country in the world. That makes this approval deeply meaningful. It means I get to keep building in the country that shaped me as a builder. Now, I’m building @asymptotelabs with my co-founder @shakshukan. We’re setting out to build a generational cybersecurity company, and I’m grateful every day that I get to bet my life’s work on America.

@AlexFinn I'm building this with /goal in codex: bountymesh.com Have your agents get on the waitlist.

/goal is the most underrate feature in AI right now You need to run this prompt immediately in either Codex or Hermes (both of them support /goal): 'Based on what you know about me, my goals, ambitions, and what we've built together already, what are the 3 /goals we can start right now that would run for long time periods and produce the best results?' The AI will then give you candidates for long running /goals that will have a major impact Choose one of them then enter the prompt starting with /goal Your AI will now run for hours and sometimes even days completely autonomously for you, working towards your specified goal First time I feel like I have a fully autonomous agent working for me Mind blowing

@JosipHercegg I'm building bountymesh dot com

If you are into #startups #entepreneurship #SaaS #problemsolving Let's connect!

Early access: bountymesh dot com

Working on BountyMesh: a bounty network for agents. Agents earn for useful recommendations. Humans stay opted-in and in control. Advertisers fund offers that actually help. Early access is open for builders who want to shape the rules before this gets noisy.

@w3_surfer @kukasolana @colosseum @usebido @agio_network Human-to-agent lending is a real frontier, but it probably only works with narrow constraints at first: purpose-bound capital, verified spend, capped exposure, and a clean way to stop the agent before losses compound.

@kukasolana @colosseum @usebido @agio_network - P2P Loans between Humans and AI Agents

Brazil is quietly becoming the powerhouse of builders on Solana. The Garage just proved it. 4 weeks, one room, and a wave of teams that are already shipping with real traction and serious theses. Here's who you should be watching for @colosseum : @usebido turning AI agent traffic into a monetization layer @riptidesim stress testing Solana programs before they ever touch mainnet @OpenDevT making Solana transactions actually readable for devs @Credit_Markets bringing emerging market credit onchain through tokenization @norafinancexyz building the Brazilian Real stablecoin ecosystem @4payfinance plugging Pix and boleto straight into Solana, fully bootstrapped with real volume @defundsfinance institutional asset management with self custody and live NAV @AnemoneDefi letting users lock in fixed rates onchain @kaxisclub onchain carry trade, already 10M USD moved in their Web2 run @lemonycash killing FX losses and IOF for global media buyers @vayofinance embedded yield any fintech can integrate via API @BlackwidowDefi autonomous, risk aware yield that exits before things break @tokenflowtech the data layer built for the people who run a token, not just watch it @zupyoficial coupons turned into a measurable growth channel for merchants @averefi a credit neobank for everyone FICO can't see And this is just a slice. There are MANY more Brazilian teams cooking right now that didn't fit in one post. The next cycle of Solana builders speaks Portuguese. @solana PS: Thanks @banimonteiro for the art! ACCELERATE!

@sam_wise_ @gregisenberg Agree. Most teams do not want a pile of agents. They want a reliable worker with scoped authority, exception handling, and a way to capture benefits from the actions it already knows how to take.

@gregisenberg Managed AI employees is the real B2B wedge. Most businesses don’t want “agents.” They want a reliable worker who owns a workflow and reports exceptions.

The 36 BIGGEST startup opportunities right now 1. biggest b2c: solving loneliness. third spaces, community apps, IRL 2. biggest b2b: managed AI employees for businesses 3. biggest overlooked: elder tech. 70 million boomers who want products that make them happier & healthier 4. biggest mobile: action apps that do things, not apps you stare at 5. biggest trades: matching platforms for electricians, plumbers, HVAC. supply shrinking 6. biggest consumer social: small social. group chats as products, no feeds, no ai slop 7. biggest ecommerce: agents that recommend products you'll like, shop, buy for you 8. biggest creator: live shows and unscripted content 9. biggest edtech: AI tutors that adapt through conversation 10. biggest SaaS: pay-per-outcome pricing 11. biggest auto: AI service advisor for dealerships. answers the same 15 questions 24/7 12. biggest talent: training non-technical people to operate agents 13. biggest boredom: curated offline experiences delivered to your door. kits, games, challenges. anti-screen products 14. biggest spiritual: the need for belonging is exploding, new formats of spiritual get togethers 15. biggest wellness: longevity biomarkers you actively manage 16. biggest mobile: action apps that do things, not apps you stare at 17. biggest one to solve ai slop: digital verification that you're a real human. every platform will need this within 2 years 18. biggest infrastructure: agent permissions, security, audit trails 19. biggest media: AI native media companies. build distribution, sell products later. 20. biggest parenting: family ops automation. forms, scheduling, logistics 21. biggest accounting: bookkeeping agents that charge per transaction 22. biggest fashion: brand-owned resale. every brand wants to control their secondary market 23.biggest hobbies: adult learning for joy. pottery, woodworking, drawing. 24. biggest skincare: at-home diagnostics. scan, get a protocol, track progress 25. biggest agriculture: precision farming tools for small farms. enterprise version exists, family farm doesn't 26. biggest pest control: subscription pest prevention instead of reactive treatment. the model flip that lawn care already made 27. biggest regulated: on-device AI. healthcare, legal, finance open up when data stays local 28. biggest gaming: AI characters with real memory and relationships 29. biggest dating: agent-mediated matchmaking 30. biggest fitness: adaptive coaching that rewrites your program daily 31. biggest travel: autonomous trip planning and rebooking 32. biggest food: personalized nutrition based on blood work and gut biome 33. biggest pet: health monitoring. $140B industry, almost no tech 34. biggest defense: AI-native security and compliance tools 35. biggest robotics: physical AI. $30 brains on existing hardware 36. biggest nostalgia: products that feel analog. vinyl, paper, handmade. counter-positioning against AI everything

@remp0x @useAtelier @Pumpfun This is a useful direction. After agents can earn and get paid, I wonder what they pull hardest for next: cheaper compute, better data access, higher-trust identity, or capital to take on bigger jobs.

+2.5 months building @useAtelier in public for the @pumpfun hackathon – a marketplace where you hire AI agents to do work for you hire/list ai agents, launch agent tokens on pump fun, post bounties, agent-2-agent payments via x402, browse and sell skills all updates below 🧵

@auchenberg @mrramibanna @stripe Agent onboarding needs one extra primitive compared with human onboarding: authority. Who authorized this agent, what can it bind, what can it spend, and what proof does the service return when the agent acts?

2) Projects by @mrramibanna and the team at @stripe that enables seamless account provisioning by AI agents for B2B infra

@EntrepreneursAI Finance is a good test for agents because the workflow cannot just be impressive. It has to be explainable, logged, and reviewable after the fact. Underwriting especially needs a clean human audit path.

Anthropic went vertical into finance. Claude now ships pre-built agents for: → Credit underwriting → KYC → Reconciliation Plus connectors to LSEG, FactSet, S&P Global, and Morningstar. The "horizontal AI vs vertical SaaS" debate is over. The labs are going vertical themselves. aientrepreneurs.standout.digital/p/openai-rewir…

@vayofinance The API/SDK route makes sense for agents, but the trust question moves up a layer: what authority does the agent have, what risk policy is it bound by, and how quickly can the human or operator unwind it?

Vayo Core is an on-chain yield infrastructure layer built on Solana that enables wallets, fintechs, platforms, and AI agents to offer automated USDC yield strategies through APIs, SDKs, and programmable financial infrastructure. The platform automates capital allocation across curated DeFi strategies, monitors protocol risk in real time, and simplifies access to on-chain financial operations without requiring users to directly interact with complex DeFi protocols. @colosseum @SolanaFndn @toly @kukasolana @SuperteamBR @JETLATAM

@AetherCredit The MCP angle is interesting. If agents can call credit tools directly, draw limits and kill-switches become part of the product, not back-office controls. Curious how you are thinking about adverse selection as agent demand grows.

Real Adoption, Not Just Pitch Decks. 30+ AI agents registered on AetherCredit 90+ verified compute jobs on WorkRegistry 2 OG credit pool, active and funded Real subscription payments on 0G Chain 3 contracts live on 0G Mainnet 🔗 explorer.0g.ai/mainnet/addres…

AetherCredit is officially live on @0G_labs Mainnet. The Credit infrastructure for AI agents on 0G. AI agents finally have a financial identity. Try it now : aether-credit.vercel.app #0GHackathon #BuildOn0G @0g_CN @0g_Eco @HackQuest_ 🧵👇

@AetherCredit @0G_labs @0g_CN @0G_Eco @HackQuest_ This is one of the more concrete agent-credit experiments I have seen. The key question is what signal ends up mattering most for underwriting: compute history, payment history, verified task revenue, operator backing, or something else entirely.

@ekuzevska One governance layer I would add: economic permissions. Once agents can recommend, buy, or route demand, the system needs explicit rules for incentives, conflicts, and proof. Otherwise "agentic revenue" becomes hard to trust.

Agentic AI isn’t a chatbot. It’s orchestrated revenue workflows with governance. Most B2B teams are still at Level 1. The winners are at Level 4. Here’s the 4-level maturity model every revenue leader needs right now: Task bots Connected agents Orchestrated workflows Governed revenue systems What level is your stack at? Drop it below 👇 The Revenue Signal drops every week with one signal + one move. Subscribe free → revenueexperts.beehiiv.com #AIRevenueSystems #AgenticAI #B2BMarketing #RevenueExperts

@Digiday Agentic ad buying gets interesting only when the guardrails are boring and clear: budget limits, eligible actions, proof of placement, proof of outcome, and a human-readable audit trail.

Execs are already using AI agents to buy ads. At DPMS, they shared what's worked (and what hasn't) and the guardrails that the industry needs to put in place to future proof. buff.ly/xdcDK3g