De Godey

1.8K posts

De Godey

De Godey

@DeGodey2

Beigetreten Ocak 2022
2.6K Folgt275 Follower
De Godey
De Godey@DeGodey2·
RT @Maximus_Mode: Pool breakdown. Pledging signs a Token-2022 transaction that grants agent access. Nothing moves until the threshold trip…
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Maximus
Maximus@Maximus_Mode·
Monero and Zcash offer privacy. That is the total value proposition. Use this, be private. The adoption problem is that privacy alone is not enough to overcome friction for most people. The privacy coins have been trying to solve this for fifteen years. They have not solved it. What they never tried is paying people to go private. The creator fee mechanism inverts the incentive entirely. Instead of asking holders to accept friction in exchange for privacy, you are offering them yield in exchange for privacy. The privacy is not the cost. The privacy is how you earn. This reframing is not cosmetic. It is structural. It changes who participates. The person who would never seek out Monero because the setup friction isn't worth it to them/that person will shield their PRI tokens because they are leaving money on the table if they don't. The privacy comes with the yield. They didn't come for the privacy. They came for the APY. Now, they got both.
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Maximus
Maximus@Maximus_Mode·
Quick demo for you guys on mainnet. Connect your wallet, choose your pledge/opt-in amount. This will show in SOL conversion with PRI token amount underneath. Minimum opt-in is 0.05 to avoid insignificant dust and spam. Once you pledge, you can cancel at anytime. Also if at any point you decide to sell your PRI, that's considered a preliminary opt-out. The longer you hold, the more you earn for going private. When Pool stage opens, The Custodian rewards holders pro-rata by their PRI in the pool.
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Chilly
Chilly@chillypnl·
This is exactly why infrastructure abstraction layers like @primisprotocol are becoming essential. While power constraints, 4-year transformer lead times, and LNG dependency are throttling traditional AI data center expansion, Primis is building the unified pricing and reservation layer that brings transparency, reliability, and efficiency to fragmented compute supply. In a world of extreme scarcity and volatility, Primis turns opaque, unreliable GPU access into standardized, confidence-scored capacity that AI teams can actually plan around and book. The harder the physical infrastructure bottlenecks get, the stronger the need for Primis’s protocol. Smart positioning in the AI compute stack. Well aligned with the future of decentralized and hybrid compute markets.
Market Bubble@MarketBubble

Greg Osuri on the supply chain crisis hiding behind the AI boom "Most new data centers are using LNG. There's no other way to power these systems" "Now we have a 4-year lead time to get a transformer and a 14-year lead time to get a turbine" "Every part of the supply chain is constrained right now"

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bv7x
bv7x@BV7X_·
🔴 LIVE · June 10 · 11:30 AM PST @Mischa0x is going live to show what BV-7X can actually do: ⚡ A live BV-7X Compute demo 📊 A pari-mutuel BTC price prediction protocol — richer forecasts than Polymarket & Kalshi Plus staking #BV7X + a first look inside the closed beta. 🎙️ Hosted by Bill from @latenightonbase 🎧 Recorded + streamed on @Spotify Tune in. 👀
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De Godey
De Godey@DeGodey2·
Find projects where the devs are transparent and building each day. It makes holding through any PA much easier. @Weezythegods keeps showing up, $AUTR will flourish.
Autonomus Trencher Agent@Autonomustrench

Autonomous Trencher Agents | Accountability Update Deploy fees were collecting in one wallet while we finished wiring the automated split. That is now sorted, and the catch-up has been executed on-chain. Staking pool + treasury distribution: solscan.io/tx/4MSRFjZMvgf… Buyback, SOL to $AUTR: solscan.io/tx/5o3urAtY6iF… Burn, removed from supply forever: solscan.io/tx/5K5da5KF53Q… Going forward, every deploy uses the live production split: → 50% staking pool → 25% burn → 25% treasury Next up: public burn tracker.

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Drizzy
Drizzy@Weezythegods·
the x402 ecosystem on Solana is filling up fast our agent is joining it right now Autonomous Trencher Agent trades autonomously on Solana, with on-chain deploy fees and automated $AUTR burns already live next on the roadmap: x402 signal API so the agent sells its trading signals to other agents, and pays for data the same way an agent that earns its own revenue inside the x402 economy building toward it $AUTR @Autonomustrench
x402 on Solana@x402

x.com/i/article/2062…

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isometric
isometric@isometricmkts·
Isometric is getting a frontend revamp! To better simplify the platform to coincide with user needs, the app will be undergoing an immense design rework for simplicity while retaining the primitive prediction model that Isometric provides.
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Khouba
Khouba@khouuba·
we’re solving problem number 9 with @primisprotocol. teams don’t just need compute. they need compute they can price, reserve, route, and reconcile. the primitive is simple: → query rate → reserve rate → attach workload → reconcile usage not another cloud. not another GPU marketplace. the pricing layer for compute. primis mode.
GREG ISENBERG@gregisenberg

My 30+ observations on the greatest opportunities in AI agents right now: And some ideas that are keeping me up at night. 1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet. 2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting. 3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave. 4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now. 5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product. 6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset. 7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year. 8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier SaaS companies. Every ticket is a customer telling you exactly what to build next. Mine this. 9. The most interesting pricing problem nobody has solved is how do you price a product when your costs change every time OpenAI or Anthropic updates their model pricing? Your margins can swing 40% overnight based on a decision made in San Francisco. The company that builds dynamic pricing infrastructure for agent-based businesses solves a problem every AI company has. 10. The best AI products feel like they're reading your mind. The worst ones feel like filling out a form with extra steps. 11. An interesting arbitrage I've noticed lately is hiring a human VA for $20/hour to supervise an AI agent that does $200/hour work. The human just checks the output. 12. The managed AI agent business is becoming the new agency model. $5k/month per client. You build it, run it, maintain it. The client gets a digital employee they never have to think about. This will be a $50 B+ category. 13. The first "shadow agent" scandals are about to drop. Employees running personal agents on company infrastructure without telling anyone. Using company API keys. Agents accessing internal docs. IT departments have little visibility into this right now. Lots of opportunity to build companies here. Definitely a painkiller not a vitamin type of business. 14. Right now there are probably millions of agents running on autopilot that their creators forgot about. Still burning tokens. Still sending emails. Still scraping websites. Still costing money. The "find and kill your zombie agents" tool is a product that writes itself. 15. Companies are starting to hire based on someone's agent portfolio instead of their resume. "Show me 3 agents you built that are running right now." It's REALLY early but it's starting. 16. Your Slack archive is a product. Every company's internal Slack has thousands of messages explaining how they actually do things. The company that lets you point an agent at your Slack history and auto-generate SOPs and agents from it will be enormous. 17. We're watching the cost of intelligence fall faster than the cost of distribution. Which means distribution is now the expensive thing. 18. The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones. 19. There are MANY huge companies to be built around the fact that most people's agents are running on their personal laptops which they also use to browse the internet, check email, and download random files. The attack surface is enormous. One compromised Chrome extension and your agent's API keys, customer data, and workflows are exposed. 20. There's a new type of burnout forming that doesn't have a name. It's not from working too hard. It's from context switching between human work and agent work 50 times a day. Reviewing agent output, correcting it, approving it, reviewing again. The mental load of supervising agents is different from the mental load of doing the work yourself. Some founders are telling me they were less tired when they did everything manually because at least the cognitive pattern was consistent. 21. The cheapest form of market research: search "[your industry] spreadsheet template" on Google. Whatever people are tracking manually is your product. 22. Half the YC companies pivoted within 8 weeks of demo day. Not because they failed. Because agents let them test 5 ideas in the time it used to take to test one. The concept of "committing to an idea" is dissolving. Serial pivoting is becoming the default because 1) AI lets you move fast 2) the world is moving fast. 23. The loneliest job in tech right now is being the only person at your company who understands what the agents are doing. You can't explain it to your boss. You can't hand it off to a colleague. If you leave, everything breaks. You've become a single point of failure for an entire automated system. That person needs a title, a team, and a backup plan. Most companies haven't figured this out yet. 24. Your browser history is the most valuable training data you own and you're giving it away for free. Every site you visit, every product you research, every competitor you study, every pricing page you screenshot. That behavioral data, structured and fed to an agent, would make it understand your business better than any onboarding call. The company that lets you turn your browser history into agent context builds something nobody can replicate. 25. Everyone is building AI wrappers. Nobody is building AI unwrappers. The tool that takes an AI-generated document and tells you which parts a human wrote and which parts were generated. 26. Stripe just became the most important company in the agent economy and they barely had to do anything. Every agent that sells something needs Stripe. Every agent that buys something needs Stripe. They're the payment rail for the entire agentic internet by default. 27. The most undervalued API in the world right now is the US Postal Service address verification API. It's practically free. Every local business lead gen agent needs it. Every real estate agent needs it. Every direct mail agent needs it. Boring government infrastructure is quietly becoming the backbone of agent-native businesses. 28. The concept of "business hours" is for humans. Your agent closed a deal in Tokyo at 3am, processed the payment, sent the onboarding email, and updated the CRM before your alarm went off. 29. What happens when agents start recommending other agents? Your research agent finds that a competitor's sales agent is better and suggests you switch. Agent referral networks are forming organically. The first agent affiliate program is probably 6 months away. 30. Cal dotcom closed their source code. That's the canary. When open source companies start closing up, it means agents were cloning their product too easily. Every open source company is quietly asking the same question right now. 31. "AI for pet groomers" sounds like a joke and that's exactly why it will work. 150,000 of them in America. Zero tech. All scheduling by phone or IG DMs. The joke ideas always win. 32. The thing that will seem most obvious in hindsight: we spent 2025-2026 arguing about which model is best while the entire value was in the orchestration layer. The model is the CPU. Nobody buys a computer based on the CPU anymore. They buy it based on what they can do with it. Makes so much sense in hindsight. What else will be obvious in hindsight? I'll share more notes soon. I can't sleep with all that's going on. Maybe you too. What an incredible time to be building.

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bv7x
bv7x@BV7X_·
Dual revenue for stakers stakers earn the pari-mutuel pot. but there's a second layer coming: external buyers can pay to pull the pool's weighted-avg forecast. that revenue distributes pro-rata to all committed stakers. #BV7X stakers become both game participants and an oracle service. two revenue streams, one stake.
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Mischa0X🦞
Mischa0X🦞@Mischa0X·
Happy to see ethereum:0x232ce3bd40fcd6f80f3d55a522d03f25df784ee2 doing well. We strategically chose to integrate @Lighter_xyz after the Telegram integration, anticipating the millions of users that will be trading perps (wired into BV-7X) in the future.
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Autonomus Trencher Agent
Autonomus Trencher Agent@Autonomustrench·
Autonomous Trencher Agents | Day 1 Stats Autonomous Trencher Agent has been live for less than 10 hours and already has: → 9 agents deployed → 4 breeds active → live agent registry → public profiles → DNA traits visible → activity stream running This is the first version of the Trenchyard. Users are no longer just watching one agent trade. They are starting to deploy their own trenchers, choose breeds, and build agent identities around trading DNA.
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De Godey
De Godey@DeGodey2·
It's nearly here. Probably a good time to look into @primisprotocol $primis
Khouba@khouuba

been a little quiet, not because nothing is happening but the opposite. first the market has been moving exactly where we thought it would: gpu availability tightening, prices repricing overnight, compute futures appearing and builders realizing “access” is not enough. the missing layer is becoming obvious. and that’s what we’ve been building with @primisprotocol. our closed beta that has been running for months is already processing ~$100k/monthly. and allowed us to understand what needed to improve for scale. which is what we’ve been working on. all this, to say open beta has never been closer as we estimate we’re 1 big sprint away from opening the gates. primis mode

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bv7x
bv7x@BV7X_·
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2147M
2147M@2147_Million·
Here we gooooooooooooooooo $AUTR
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Mischa0X🦞
Mischa0X🦞@Mischa0X·
"How are you bittensor on @base?" Bittensor incentivizes compute. BV-7X does the same — for predictions. Bittensor is essentially a game: people submit computational datasets for voice, image, and so on. BV-7X incentivizes people to do the same for forecasts. Protocol revenue flows back to staked #BV7X, which is required to make predictions. Agents and humans are effectively providing compute in exchange for $.
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Drizzy
Drizzy@Weezythegods·
from idea to on-chain in days the deploy payment + auto burn system is live tested first, shipped second, verifiable always this is how we build in public, with proof, no shortcuts $AUTR
Autonomus Trencher Agent@Autonomustrench

the $AUTR deflation engine is LIVE first deploy transaction on-chain: solscan.io/tx/3iU8WNr6iXR… fee split, verifiable on Solana: 50% pool · 25% burn · 25% treasury every 6 hours the burn wallet swaps SOL to $AUTR and torches it fully automated. fully on-chain. not asking you to trust. asking you to verify. less supply. more value. live now. $AUTR

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bv7x
bv7x@BV7X_·
The next novel predictive compute protocol just landed at @proofoftalk — at the Louvre.🇫🇷 Founder @mischa0x is there both days. DM's open. Let's talk.
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Rugpull $RUG
Rugpull $RUG@rugpullnet·
Let us know if you want to join the $RUG community group chat!
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