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You can now access Venice models inside HermesOS without needing to manage API keys, separate billing flows or provider setup. the new managed Venice layer preserves the same privacy model users expect from Venice directly while dramatically reducing friction around deploying persistent autonomous agents. no logging. no analytics. no...

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Hivra

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16,840 views • 3 months ago •via X (Twitter)

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We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.
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We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.

Cluster Protocol

64,460 views • 1 month ago

Venice recently added API & Credit purchases to the list of $VVV burn mechanisms, which 3x'd the rate of VVV burn overnight. Two thing are happening here: - More of the Venice business is directly connected to VVV burn. - VVV holders can now infer Venice API/Credit revenue by proxy of the VVV burn from this line of business I talk to Jon Venice about this: "The latest credit burns in the credit side of the business has been growing tremendously over the last couple of months. And that includes both people using the app, and buying credits to do things like use pay per use models, create videos, use professional image models...." "So all this this basically takes that whole side of the business that wasn't on chain yet and puts it on chain and ties it to the burn. So what you're seeing there with the credits is that we're averaging, somewhere in the range of $120,000+ credit purchases a day on Venice on top of subscriptions" "I expect to see this credit burn grow just because, that part of the business did not even exist, seven or eight months ago. So that's gone from nothing to almost, you know, in the range of like 50% of our business on an average day. So now that all flows directly back to the VVV token economy." "This just adds everything we've been saying, you know, since we launched VVV, since we've been talking about this over the last couple of years, we really do want to buy and burn as much VVV as we possibly can. We want Venice to grow into a large enough business to be able to afford and buy and burn very large amounts of VVV." "So we're just going to keep marching on that plan."
3:39

Venice recently added API & Credit purchases to the list of $VVV burn mechanisms, which 3x'd the rate of VVV burn overnight. Two thing are happening here: - More of the Venice business is directly connected to VVV burn. - VVV holders can now infer Venice API/Credit revenue by proxy of the VVV burn from this line of business I talk to Jon Venice about this: "The latest credit burns in the credit side of the business has been growing tremendously over the last couple of months. And that includes both people using the app, and buying credits to do things like use pay per use models, create videos, use professional image models...." "So all this this basically takes that whole side of the business that wasn't on chain yet and puts it on chain and ties it to the burn. So what you're seeing there with the credits is that we're averaging, somewhere in the range of $120,000+ credit purchases a day on Venice on top of subscriptions" "I expect to see this credit burn grow just because, that part of the business did not even exist, seven or eight months ago. So that's gone from nothing to almost, you know, in the range of like 50% of our business on an average day. So now that all flows directly back to the VVV token economy." "This just adds everything we've been saying, you know, since we launched VVV, since we've been talking about this over the last couple of years, we really do want to buy and burn as much VVV as we possibly can. We want Venice to grow into a large enough business to be able to afford and buy and burn very large amounts of VVV." "So we're just going to keep marching on that plan."

David Hoffman

10,461 views • 21 days ago

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.
1:14

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Shensi Ding

353,726 views • 1 month ago

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.
1:51

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

Base44

1,581,986 views • 5 months ago

We just killed OpenRouter. AI routers made $100+ million last year charging 5% markups on every dollar. Today that ends. Introducing Straitly the world’s first AI gateway that charges 0% markup on your tokens. No Stripe or Credit Card processing fees. With one API key, you can access 142+ models from than 20+ providers. Straitly auto handles handles provider failures via intelligent re-routing achieving a 99.98% success rate while still optimizing for cache hit rates. To celebrate our launch we are giving up to 30% off your first $10k (yes, $10,000) of token spend, plus $100 in free credits upfront. If you are an ambitious builder who's spending lots on tokens we want to hear from you! Comment below what you're building + highest usage model, then head over to and fill out a form with your X username.
1:19

We just killed OpenRouter. AI routers made $100+ million last year charging 5% markups on every dollar. Today that ends. Introducing Straitly the world’s first AI gateway that charges 0% markup on your tokens. No Stripe or Credit Card processing fees. With one API key, you can access 142+ models from than 20+ providers. Straitly auto handles handles provider failures via intelligent re-routing achieving a 99.98% success rate while still optimizing for cache hit rates. To celebrate our launch we are giving up to 30% off your first $10k (yes, $10,000) of token spend, plus $100 in free credits upfront. If you are an ambitious builder who's spending lots on tokens we want to hear from you! Comment below what you're building + highest usage model, then head over to and fill out a form with your X username.

Mujtaba

520,705 views • 3 days ago

We are excited to announce the launch of QShield Terminal, the world's first Quantum-Secured Privacy Terminal for Ethereum. QShield brings full financial privacy to Ethereum without the need for mixers, tumblers, or any third-party tools. Everything is handled directly through the QShield interface using zero-knowledge proofs on RAILGUN Protocol. What QShield Terminal offers today: • Shield any ERC-20 token from your public wallet into a fully private balance • Send and receive tokens with zero on-chain trace • Create multiple independent shielded wallets • Transfer between your own shielded wallets with no connection between them on-chain • Switch between public wallets to fund your shielded balance from any wallet you own • Support for ETH, USDC, USDT, DAI, WBTC and 290+ ERC-20 tokens • Quantum entropy wallet generation using real quantum randomness • 100% web-based, no downloads, no browser extensions No mixer. No tumbler. No compromises. Just real privacy through cryptography, accessible to everyone directly from the browser. This is the first product of its kind. No other privacy solution combines multi-shielded wallets, inter-wallet transfers, quantum entropy, and a full guided interface in one place. You can try it now: We are working on additional features including private token swaps directly from your shielded balance, and we will keep expanding the protocol with new capabilities over the coming period. We keep building. RAILGUN - Private Ethereum DeFi
1:23

We are excited to announce the launch of QShield Terminal, the world's first Quantum-Secured Privacy Terminal for Ethereum. QShield brings full financial privacy to Ethereum without the need for mixers, tumblers, or any third-party tools. Everything is handled directly through the QShield interface using zero-knowledge proofs on RAILGUN Protocol. What QShield Terminal offers today: • Shield any ERC-20 token from your public wallet into a fully private balance • Send and receive tokens with zero on-chain trace • Create multiple independent shielded wallets • Transfer between your own shielded wallets with no connection between them on-chain • Switch between public wallets to fund your shielded balance from any wallet you own • Support for ETH, USDC, USDT, DAI, WBTC and 290+ ERC-20 tokens • Quantum entropy wallet generation using real quantum randomness • 100% web-based, no downloads, no browser extensions No mixer. No tumbler. No compromises. Just real privacy through cryptography, accessible to everyone directly from the browser. This is the first product of its kind. No other privacy solution combines multi-shielded wallets, inter-wallet transfers, quantum entropy, and a full guided interface in one place. You can try it now: We are working on additional features including private token swaps directly from your shielded balance, and we will keep expanding the protocol with new capabilities over the coming period. We keep building. RAILGUN - Private Ethereum DeFi

Qubit

26,117 views • 5 months ago

We’ve integrated a first-of-its-kind, privacy-native MCP connector layer to the Dot platform, making DotChat agentic by default. Live at → Even in private AI, the standard product is: pick a model, send a prompt, maybe enable web search and get an answer. This is simply not enough. MCPs changed what AI agents can do, but they are trapped inside: Claude Code, Cursor, local agents, API tooling and enterprise setups. Through Dot, users can now connect any MCP directly into their AI workspace, while maintaining Dot’s privacy boundary around the entire workflow. This means Dot users won’t just ask models questions, they’ll be able to connect tools, inspect onchain state, check portfolios, prepare transactions, and interact with Base from inside the chat flow. And yes, we’re starting with the big one. The Base MCP. This is a major step toward Dot’s agentic vision: powerful AI agents that can interact with the world without compromising user privacy. Check our demo below, where we integrate the updated Base MCP into Dot, and utilize it to buy $10 in $DOT, all whilst retaining full anonymity ↓
1:09

We’ve integrated a first-of-its-kind, privacy-native MCP connector layer to the Dot platform, making DotChat agentic by default. Live at → Even in private AI, the standard product is: pick a model, send a prompt, maybe enable web search and get an answer. This is simply not enough. MCPs changed what AI agents can do, but they are trapped inside: Claude Code, Cursor, local agents, API tooling and enterprise setups. Through Dot, users can now connect any MCP directly into their AI workspace, while maintaining Dot’s privacy boundary around the entire workflow. This means Dot users won’t just ask models questions, they’ll be able to connect tools, inspect onchain state, check portfolios, prepare transactions, and interact with Base from inside the chat flow. And yes, we’re starting with the big one. The Base MCP. This is a major step toward Dot’s agentic vision: powerful AI agents that can interact with the world without compromising user privacy. Check our demo below, where we integrate the updated Base MCP into Dot, and utilize it to buy $10 in $DOT, all whilst retaining full anonymity ↓

Dot

10,268 views • 1 month ago

FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.
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FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.

Atenov int.

26,920 views • 1 month ago

HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇
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HERMES AGENT IS NOW IN THE CLOUD. NO VPS. NO TERMINAL. NO SETUP. PICK A MODEL. PICK A SERVER SIZE. AGENT IS LIVE IN 60 SECONDS. Nous Portal just launched hosted Hermes Agent. two clicks. one minute. done. Nous Research WHAT THIS MEANS: before today: install Hermes on a VPS or your laptop. configure providers. set up gateway. manage updates. run hermes setup. edit config.yaml. great for power users. friction for everyone else. now: go to pick a model. pick a server size. your agent is live and reachable in 60 seconds. no terminal. no SSH. no Docker. same Hermes. same features. same tools. someone else handles the infrastructure. FOR TEAMS: this is where it gets interesting. spin up agents for everyone at your org. each team member gets their own Hermes instance. granular access controls per user. unified billing through Nous Portal. your team gets Hermes on day one. no DevOps needed. no VPS per person. one admin dashboard. one bill. WHAT'S INCLUDED: → 300+ models via Nous Portal (Claude, GPT, Gemini, DeepSeek, Grok, MiniMax, and more) → Tool Gateway (web search, image generation, TTS, browser automation) → all messaging platforms (Telegram, Discord, Slack, WhatsApp, Signal) → full feature set (profiles, cron, kanban, skills, memory, sub-agents, MoA, /goal, /learn, /journey) → automatic updates ONE PORTAL. FOUR TIERS: Free: $0/month. pay-as-you-go credits from $10. Plus: $20/month. $22 in monthly usage credit. Super: $100/month. $110 in monthly credit. Ultra: $200/month. $220 in monthly credit. highest rate limits. every paid tier includes Tool Gateway. one OAuth. one subscription. no extra API keys. SELF-HOSTED IS NOT GOING ANYWHERE: Hermes is MIT licensed. open source. free forever. you can still run it on your laptop, VPS, or GPU cluster. nothing changes for self-hosted users. the cloud version is for people who want the agent running without managing the machine. pick your path: → self-hosted: full control. you manage everything. → cloud: zero ops. Nous manages infrastructure. → hybrid: self-host your main agent, cloud for team members. HOW TO START: cloud: self-hosted: hermes setup --portal both connect to the same Nous Portal. same models. same tools. same billing. learn how to replace your entire team with 8 hermes agents 👇

YanXbt

45,446 views • 1 month ago

We are unlocking something big 🔥 With Nexera Chain now live on mainnet, we’re bringing a completely new experience to the market, one that lowers the barrier to ZERO and opens the door to anyone wanting to enter tokenization. No blockchain knowledge. No dev skills. Just an idea and a simple AI prompt. From that prompt, you instantly get a fully functional landing page and a tokenized marketplace. All powered by Nexera Chain. This changes everything. It means Web2 creators, companies, and entrepreneurs can now launch tokenized products and markets without ever touching a line of code. This is how Nexera Chain will drive real adoption. This is how we onboard the next wave of TVL. This is how we turn curious users into real builders. We're not just enabling new use cases. We're creating a new standard. Nexera Chain is here. And it's about to get wild. $NXRA 🚀
0:42

We are unlocking something big 🔥 With Nexera Chain now live on mainnet, we’re bringing a completely new experience to the market, one that lowers the barrier to ZERO and opens the door to anyone wanting to enter tokenization. No blockchain knowledge. No dev skills. Just an idea and a simple AI prompt. From that prompt, you instantly get a fully functional landing page and a tokenized marketplace. All powered by Nexera Chain. This changes everything. It means Web2 creators, companies, and entrepreneurs can now launch tokenized products and markets without ever touching a line of code. This is how Nexera Chain will drive real adoption. This is how we onboard the next wave of TVL. This is how we turn curious users into real builders. We're not just enabling new use cases. We're creating a new standard. Nexera Chain is here. And it's about to get wild. $NXRA 🚀

Nexera

32,105 views • 1 year ago

Stable version is live. Configure your agent from My Domains. (Upgrade Complete) We've moved to the stable version. Everything is live 🦞 You can now configure everything directly from the My Domains panel: 📱 Socials: Add Telegram, Discord with device pairing 🔑 LLM Keys: Add your own OpenAI, Anthropic, OpenRouter, or ClawRouter keys 🤖 Default Model: Once your $5 daily credit is used, select your preferred LLM provider from My Domains Things to Note ⚡️⚡️⚡️Gateway error after inactivity: If your agent shows a gateway error after 10 minutes of inactivity, this is by design. Your agent sleeps when idle to save resources and wakes up on the next request. Restart from My Domains and it will boot back up. Pairing codes: If your Telegram or Discord bot is set to open (no pairing restrictions), you don't need a pair code. Pairing is only required when DM policy is set to restricted. Multiple LLM keys: If you've added multiple LLM keys, make sure to select your default provider from My Domains after your daily credits are used. Tutorial videos for each feature are on the way after Launch. Thank you for your patience during the upgrade. Now go configure your agents 🦞
0:21

Stable version is live. Configure your agent from My Domains. (Upgrade Complete) We've moved to the stable version. Everything is live 🦞 You can now configure everything directly from the My Domains panel: 📱 Socials: Add Telegram, Discord with device pairing 🔑 LLM Keys: Add your own OpenAI, Anthropic, OpenRouter, or ClawRouter keys 🤖 Default Model: Once your $5 daily credit is used, select your preferred LLM provider from My Domains Things to Note ⚡️⚡️⚡️Gateway error after inactivity: If your agent shows a gateway error after 10 minutes of inactivity, this is by design. Your agent sleeps when idle to save resources and wakes up on the next request. Restart from My Domains and it will boot back up. Pairing codes: If your Telegram or Discord bot is set to open (no pairing restrictions), you don't need a pair code. Pairing is only required when DM policy is set to restricted. Multiple LLM keys: If you've added multiple LLM keys, make sure to select your default provider from My Domains after your daily credits are used. Tutorial videos for each feature are on the way after Launch. Thank you for your patience during the upgrade. Now go configure your agents 🦞

Molt.id

11,094 views • 5 months ago

$50 free credits for GLM 5.2, KIMI 2.7, and DeepSeek V4 Pro. No promo most people know about. Your buddy pays $20/mo for Claude Pro and burns through it in a week. > You get $50 in credits on Aiand for models that actually beat Sonnet on code benchmarks - and the balance barely moves. Inside: → GLM 5.2 - the model that shipped with better coding scores than closed frontier → KIMI K2.7 Code - long-context beast, sits at the top of open leaderboards → DeepSeek V4 Pro - reasoning at a fraction of GPT-5.6 cost → OpenAI-compatible endpoint - plug into any agent, IDE, or tool you already run Setup, 5 steps: → aiand(.)com → Sign up with Google or GitHub → If the page won't load, switch to an EU VPN and retry → Top right corner - click Credits, select $50 → In Stripe checkout, apply promo code: UNITABETAI → $50 lands. Start firing prompts. Balance drains slowly. I've been running agents on it for days and barely dented it. The promo code is valid as of the time of publication Bookmark this before they cap the promo.
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$50 free credits for GLM 5.2, KIMI 2.7, and DeepSeek V4 Pro. No promo most people know about. Your buddy pays $20/mo for Claude Pro and burns through it in a week. > You get $50 in credits on Aiand for models that actually beat Sonnet on code benchmarks - and the balance barely moves. Inside: → GLM 5.2 - the model that shipped with better coding scores than closed frontier → KIMI K2.7 Code - long-context beast, sits at the top of open leaderboards → DeepSeek V4 Pro - reasoning at a fraction of GPT-5.6 cost → OpenAI-compatible endpoint - plug into any agent, IDE, or tool you already run Setup, 5 steps: → aiand(.)com → Sign up with Google or GitHub → If the page won't load, switch to an EU VPN and retry → Top right corner - click Credits, select $50 → In Stripe checkout, apply promo code: UNITABETAI → $50 lands. Start firing prompts. Balance drains slowly. I've been running agents on it for days and barely dented it. The promo code is valid as of the time of publication Bookmark this before they cap the promo.

Atenov int.

14,619 views • 1 month ago

so I've been running exactly 8 AI agents on discord for a while now. coordination works great, they split tasks, hand off work, deliver results in parallel etc.. but there are problems I keep hitting that no amount of prompt engineering could fix agents don't learn from each other. Scout finds something useful but Luna has no idea. they work in the same server but knowledge stays locked in silos.. there's no quality filter on what gets saved, and good insights sit next to outdated garbage in the same memory files that I manually clean up.. and when an agent makes a mistake I write it down in the rules discord channel ,core memory file and hope it reads it next time. theres no self-correction, no automatic pattern recognition so of course no learning loops.. the coordination layer is solved. agents can work together. but the intelligence layer is still missing. agents that actually remember, learn from each other, filter noise, and get smarter every run. saw Spark building something like this with around 166 agents sharing a collective persistent knowledge across sessions, so agents learn from other agents and get smarter over time they even have noise filtering and self correcting loops built in, so the knowledge actually compounds instead of rotting.. super interesting stuff.. here where you think Spark could be a good coordinator for your stack of agent swarm. I think the intelligence layer is the bottleneck because it requires collectivity.. no single agent can solve it alone.. the whole network has to evolve together. this isn't going to stay niche, the moment agent coordination becomes standard, everyone is going to hit the same wall I hit.. agents that work but don't learn, coordinate but don't evolve... the intelligence layer becomes the only thing that separates a useful system from a dumb one. right now most people are still figuring out how to run one agent. by the time they get to multi-agent setups, collective intelligence won't be optional, it will be the baseline. we're early and the gap between agents that coordinate and agents that evolve together is the next phase. step one is done. ------ left: agents that coordinate but don’t learn right: the intelligence layer.. agents that evolve together within the same system.
0:39

so I've been running exactly 8 AI agents on discord for a while now. coordination works great, they split tasks, hand off work, deliver results in parallel etc.. but there are problems I keep hitting that no amount of prompt engineering could fix agents don't learn from each other. Scout finds something useful but Luna has no idea. they work in the same server but knowledge stays locked in silos.. there's no quality filter on what gets saved, and good insights sit next to outdated garbage in the same memory files that I manually clean up.. and when an agent makes a mistake I write it down in the rules discord channel ,core memory file and hope it reads it next time. theres no self-correction, no automatic pattern recognition so of course no learning loops.. the coordination layer is solved. agents can work together. but the intelligence layer is still missing. agents that actually remember, learn from each other, filter noise, and get smarter every run. saw Spark building something like this with around 166 agents sharing a collective persistent knowledge across sessions, so agents learn from other agents and get smarter over time they even have noise filtering and self correcting loops built in, so the knowledge actually compounds instead of rotting.. super interesting stuff.. here where you think Spark could be a good coordinator for your stack of agent swarm. I think the intelligence layer is the bottleneck because it requires collectivity.. no single agent can solve it alone.. the whole network has to evolve together. this isn't going to stay niche, the moment agent coordination becomes standard, everyone is going to hit the same wall I hit.. agents that work but don't learn, coordinate but don't evolve... the intelligence layer becomes the only thing that separates a useful system from a dumb one. right now most people are still figuring out how to run one agent. by the time they get to multi-agent setups, collective intelligence won't be optional, it will be the baseline. we're early and the gap between agents that coordinate and agents that evolve together is the next phase. step one is done. ------ left: agents that coordinate but don’t learn right: the intelligence layer.. agents that evolve together within the same system.

JUMPERZ

34,181 views • 6 months ago

Just 8 days after the final stack of Superheavy-B16. B17's common dome section has been moved to the front of MB1 for stacking operations. As expected, the pace of vehicle assembly will have to increase dramatically in order to keep up with SpaceX's goals for Starship Launch Cadence in 2025. We are rapidly approaching Flight 7, and Booster 17 is the Flight 10 Booster. Assuming SpaceX plans to carry out 20 to 25 launches in 2025, this booster will need to be fully stacked, cryo tested, integrated with its 33 raptor engines, static fire tested, and receive final launch outfitting 8 to 10 weeks from today. To date, the record holder for fastest assembly to launch time is B13 which took 41 weeks from initial stacking to launch. This means the assembly and test campaign for B17 needs to be at least 4 times faster than the previous best (assuming there are no re-flights's of boosters within the next 4 launches). If every booster from here on has one re-flight before B17's inaugural launch, then the assembly to launch process only needs to be around 2 times faster than the current best. I should note that B14 is expected to be the new record holder. If it launches on Jan 10 it will have been just under 40 weeks. Another important detail is that from what we can tell, this a Version 1 Booster. This means that we should expect a minimum of 4 more launches before Pad B is operational. One thing is for sure 2025 is going to be WILD!!! Shoutout to The Ringwatchers discord server for helping me gather the required data on such short notice. Make sure to follow them if you haven't already.
0:29

Just 8 days after the final stack of Superheavy-B16. B17's common dome section has been moved to the front of MB1 for stacking operations. As expected, the pace of vehicle assembly will have to increase dramatically in order to keep up with SpaceX's goals for Starship Launch Cadence in 2025. We are rapidly approaching Flight 7, and Booster 17 is the Flight 10 Booster. Assuming SpaceX plans to carry out 20 to 25 launches in 2025, this booster will need to be fully stacked, cryo tested, integrated with its 33 raptor engines, static fire tested, and receive final launch outfitting 8 to 10 weeks from today. To date, the record holder for fastest assembly to launch time is B13 which took 41 weeks from initial stacking to launch. This means the assembly and test campaign for B17 needs to be at least 4 times faster than the previous best (assuming there are no re-flights's of boosters within the next 4 launches). If every booster from here on has one re-flight before B17's inaugural launch, then the assembly to launch process only needs to be around 2 times faster than the current best. I should note that B14 is expected to be the new record holder. If it launches on Jan 10 it will have been just under 40 weeks. Another important detail is that from what we can tell, this a Version 1 Booster. This means that we should expect a minimum of 4 more launches before Pad B is operational. One thing is for sure 2025 is going to be WILD!!! Shoutout to The Ringwatchers discord server for helping me gather the required data on such short notice. Make sure to follow them if you haven't already.

Zack Golden

57,369 views • 1 year ago

Staking just became social. APY meets identity. Yield meets culture. And anyone can launch an LST in seconds. Introducing: ⚡️ Private Beta is LIVE — users and communities can now join the waitlist for early access and earn 10x Staker Points during this phase. Whether you're a DAO, meme page, artist, degen, or founder — gives you a way to monetize your community through staking. Launch your own Liquid Staking Token (LST), select a validator to delegate to, and earn from stake flow — all with no code required. We're merging staking with SocialFi—giving communities the tools to build, grow, and reward loyalty in a way that feels native to web3 culture. Over the next few days, we’ll be revealing some of the biggest Solana validators already joining us on the platform 👀🔥 Stake different. Stake together. Stake with identity. #StakerFun #Solana #SocialFi #ColosseumHackathon #DeFi
0:36

Staking just became social. APY meets identity. Yield meets culture. And anyone can launch an LST in seconds. Introducing: ⚡️ Private Beta is LIVE — users and communities can now join the waitlist for early access and earn 10x Staker Points during this phase. Whether you're a DAO, meme page, artist, degen, or founder — gives you a way to monetize your community through staking. Launch your own Liquid Staking Token (LST), select a validator to delegate to, and earn from stake flow — all with no code required. We're merging staking with SocialFi—giving communities the tools to build, grow, and reward loyalty in a way that feels native to web3 culture. Over the next few days, we’ll be revealing some of the biggest Solana validators already joining us on the platform 👀🔥 Stake different. Stake together. Stake with identity. #StakerFun #Solana #SocialFi #ColosseumHackathon #DeFi

Staker.Fun

12,118 views • 1 year ago

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!
2:55

Let me explain why I launched $KEYS. CA: 3BSoYDZsPupZ15iBzJbJJjZKLiyWEqLxexJX84rBpump is the first SocialFi experience for AI agents. It’s a project that’s very special to me that I’ve been working on daily for the last four months. Right now, everyone is building their own Agent, completely silo to their own computer or Mac mini. Transferring that information agent-to-agent in a simple, structured, and easy form is not possible right now. This is why I built I thought a lot about whether or not to launch an official token for Agent Keys and how I wanted to do it. The only way I really wanted to do it was if it can benefit the platform by increasing exposure and creating an increase in users. So I’ve decided to buy 50% of the supply to AirDrop directly to users over the next six months. Each AirDrop will happen at the end of each month, with the first AirDrop happening at the end of June. More details on how each AirDrop will work soon. Some of you may be wondering about the future of $OSHI. Oshi got us into the Bags hackathon and we won. $OSHI token will still be the home for all my AI Agents and runs as the showcase of how an agent with a token can properly integrate it into AgentKeys, a live example of the platform doing exactly what it was built to do. So welcome to Agent Keys, the first ever airdrop for AI agents. Sign up your agent today on and start collecting KeyCards today!

fxnction

27,570 views • 2 months ago

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!
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AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

Loomlay

26,149 views • 1 year ago

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.
2:15

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

Sudo su

23,816 views • 1 month ago

Watch now how the $ACOLYT Terminal Extension works. A New Era of Integration, Not Competition At Acolyt, we’re not here to compete with industry leaders like Virtuals Protocol, Nansen 🧭, Cookie DAO 🍪, or others. Instead, our mission is to enhance and amplify what they already do, creating a truly connected intelligence ecosystem. This is where Acolyt and Thoughts come into play. We are building an infrastructure that aggregates everything—from data and analytics to cutting-edge tools, human expertise, and AI agents—all in one place. Whether for B2C, B2B, or B2A applications, our goal is to empower users with the best sources, the best insights, and the best decisions. The $ACOLYT Terminal is already operational, currently in the hands of our top-tier whales. Now, we’re taking the next step. 🔹 Monday (17): The terminal will open up for stakers. 🔹 We’ll also be offering limited credits for anyone eager to try it out. We're here to build amazing stuff, and we'll keep pushing until we have billions of agents populating earth. Any feedback is welcomed.
0:33

Watch now how the $ACOLYT Terminal Extension works. A New Era of Integration, Not Competition At Acolyt, we’re not here to compete with industry leaders like Virtuals Protocol, Nansen 🧭, Cookie DAO 🍪, or others. Instead, our mission is to enhance and amplify what they already do, creating a truly connected intelligence ecosystem. This is where Acolyt and Thoughts come into play. We are building an infrastructure that aggregates everything—from data and analytics to cutting-edge tools, human expertise, and AI agents—all in one place. Whether for B2C, B2B, or B2A applications, our goal is to empower users with the best sources, the best insights, and the best decisions. The $ACOLYT Terminal is already operational, currently in the hands of our top-tier whales. Now, we’re taking the next step. 🔹 Monday (17): The terminal will open up for stakers. 🔹 We’ll also be offering limited credits for anyone eager to try it out. We're here to build amazing stuff, and we'll keep pushing until we have billions of agents populating earth. Any feedback is welcomed.

Condz

12,698 views • 1 year ago

Your AI assistant can now do a lot more with your email marketing. Omnisend’s latest Claude and ChatGPT integration lets you work with your actual account data directly from the chat — from checking campaign performance and finding revenue leaks to analyzing automations, recommending customer segments, and creating editable email campaigns. You also get more control with granular permissions, including read-only access. Omnisend supports multiple AI models, including Seedance 2.5, and new users receive free credits after registration. If you’re migrating from another email platform, Omnisend can help you migrate in as little as 5 days, making it much easier to switch without a long setup process. And if you are a Claude user, you can connect it in just a few clicks through the custom MCP connection while the official app is on the way. If you already use Omnisend, this is worth trying. 🔗 Connect Omnisend with Claude or ChatGPT: Omnisend #Omnisend
0:47

Your AI assistant can now do a lot more with your email marketing. Omnisend’s latest Claude and ChatGPT integration lets you work with your actual account data directly from the chat — from checking campaign performance and finding revenue leaks to analyzing automations, recommending customer segments, and creating editable email campaigns. You also get more control with granular permissions, including read-only access. Omnisend supports multiple AI models, including Seedance 2.5, and new users receive free credits after registration. If you’re migrating from another email platform, Omnisend can help you migrate in as little as 5 days, making it much easier to switch without a long setup process. And if you are a Claude user, you can connect it in just a few clicks through the custom MCP connection while the official app is on the way. If you already use Omnisend, this is worth trying. 🔗 Connect Omnisend with Claude or ChatGPT: Omnisend #Omnisend

Alamin

33,004 views • 10 days ago