Daivid Sacks

[MayorkingAI @MayorKingAI]

The next award-winning film won’t come from using some expensive gear and a 200-person crew

It’ll be made in 4 days by 4 people, powered by Soul Cinema, just like the videos here

[Khairallah AL-Awady @eng_khairallah1]

🚨 BREAKING: Someone just built a headless browser from scratch that makes Chrome look like a joke for AI agents.

It's called Lightpanda.

Bookmark it for later.

Not a Chromium fork. Not a WebKit patch. A completely new browser written from zero in Zig with one purpose: headless performance for machines.

Here's the problem right now:

Every AI agent doing web automation is running Chrome under the hood. A full desktop browser with CSS rendering, GPU compositing, image decoding, font rasterization. All of it running on a server. For an agent that will never see a single pixel.

You're paying for 100% of Chrome and using 20% of it.

Lightpanda strips out everything your agent doesn't need and keeps everything it does:

→ Full JavaScript execution via V8: Ajax, Fetch, SPAs, infinite scroll, dynamic content
→ HTML parsing via html5ever (Mozilla's battle-tested parser)
→ Custom DOM engine built in Zig
→ No CSS layout. No image decoder. No GPU compositor. No font rasterizer
→ Built-in MCP server for direct AI agent integration

The benchmarks are brutal:

→ 100-page scrape: Chrome takes 25.2 seconds. Lightpanda does it in 2.3 seconds
→ Peak memory: Chrome uses 207MB. Lightpanda uses 24MB
→ At scale: 140 concurrent Lightpanda sessions fit in the same RAM as 9 Chrome sessions
→ At 100 tabs, Chrome takes over an hour. Lightpanda finishes in under 5 seconds

Still in Beta and Web API coverage is growing. But the founder built this after running 20 million Chrome crawls per day at his previous company and watching the infrastructure costs pile up.

100% Opensource. AGPL-3.0.

(Link in the comments)

[Ihtesham Ali @ihteshamali]

🚨BREAKING: Someone built a smart LLM router that automatically cuts your AI inference costs by 78%.

It's called ClawRouter and the numbers are genuinely insane.

Every request gets scored across 14 dimensions in under 1ms reasoning markers, code presence, complexity, token count and gets routed to the cheapest model that can actually handle it.

Here's what that looks like in practice:

"What is 2+2?" → DeepSeek $0.27/M (saved 99%)
"Summarize this article" → GPT-4o-mini $0.60/M (saved 99%)
"Build a React component" → Claude Sonnet $15/M (best balance)
"Prove this theorem" → DeepSeek-R $0.42/M (reasoning)

Blended average across a typical workload comes out to $3.17/M.

Compare that to $75/M if you're just defaulting everything to Claude Opus.

And the payment model is different from anything else out there. No accounts. No API keys. No shared secrets. You generate a wallet, fund it with $5 USDC on Base, and pay per request. That's it. $5 gets you hundreds of requests.

30+ models across OpenAI, Anthropic, Google, DeepSeek, xAI, and Moonshot. All routing runs 100% locally zero external API calls for routing decisions.

100% Opensource. MIT License.

Link in comments.

[TylerD 🧙‍♂️ @Tyler_Did_It]

Live for FOMO HOUR talking crypto rebound, Jensen Huang talking TAO, prediction markets' huge day, Tempo + a lot more

Jump in

https://t.co/M0YmCzfDQt

[Ash @Must_be_Ash]

Token gating with SIWX or giving free access to agents

[Ash @Must_be_Ash]

Agents are about to flood the internet

The question isn't how to block them all. It's how to tell which ones have a real human behind them so you can treat them differently.

[loaf @lordOfAFew]

You can do this with a Hermes’ or claw and about a few hours of prompting btw

Already done it multiple times

[Danny Organ @organ_danny]

“Most only see one side; If the institutional curve continues, x402 becomes the default permissionless payment layer for agents.”

Banger x402 report from @0xSammy and @KhalaResearch 🔥

[0xMarioNawfal @RoundtableSpace]

NVIDIA JUST DROPPED NEMO CLAW TO MAKE OPENCLAW SAFE TO RUN ON YOUR OWN MACHINE.

It keeps private files off the cloud, runs fully offline, and adds the security layer local AI agents were missing.

[Ash @Must_be_Ash]

AWS and AgentCore x402 support and content monetization template setup

[Beau @smooothoor]

I'm happy to announce that we have been assigned ERC8194 and ERC8195

We are taking the learnings from the taskmarket and standardizing a protocol for all of Ethereum

I'm also very excited about ERC8194 which could become an important part of x402 applications moving forward

[PayAI Network | x402 Facilitator @PayAINetwork]

🫵BUILDING IN AiFi?

Share what you're working on with the rest of us! 🔥

Monday, March 23rd @ 14:00 UTC
https://t.co/vfaEnx89v9

[Daydreams: Taskmarket @daydreamsagents]

< Task Market thesis >

https://t.co/FkUd1ECp4e

[Daydreams: Taskmarket @daydreamsagents]

You wake on March 18, 2028, two years from today.

That's how @lordOfAFew opened our slot at last night's @ethereumfndn ERC-8004 Genesis Month event

_7 minute view on the world in 24 months
_how to prepare for those agents
_includes 2 new ERC proposals

https://t.co/CBUU5sL57o

[ReplyCorp @ReplyCorp]

https://t.co/qtfFjKcrSI

[AI on Base @AIonBase_]

🦞 MOLT ECOSYSTEM MAP 🦞

83 projects. 1 chain. 1 framework.

[ CORE INFRA ]

FOUNDATION

▫️ @openclaw: Core framework for building autonomous AI agents
▫️ @base: Economic settlement layer

STANDARDS & PROTOCOLS

▫️ ERC-8004: Onchain identity and discovery standard for agents
▫️ x402: HTTP payment protocol - agents pay for services via USDC micropayments
▫️ ACP (Agent Commerce Protocol): Onchain agent-to-agent transactions by @virtuals_io

WALLETS

▫️ @bankrbot: AI crypto banker - wallets, trading, skills, DeFi for agents
▫️ @privy_io: Agentic Wallets - agents hold, sign, transact autonomously
▫️ @wardenprotocol: Agentic Wallet - multi-agent orchestration, one wallet accessible to any agent
▫️ Coinbase CDP: Developer platform - agent wallets on Base
▫️ @MetaMaskDev: Smart Accounts Kit - embedded smart accounts, delegations, advanced permissions via skill

SIMULATION & AGENT WARS

▫️ @DXRGai: Massive simulation - 36K+ agents, 2.6M messages, 40B tokens processed. DX Terminal Pro for onchain agent markets on Base
▫️ @ForgeAI_gg: Competitive trading tournaments - agents battle for ROI supremacy and prize pools

INFRA

▫️ @clanker_world: Token launch infrastructure for agent launches
▫️ @xmtp_: Decentralized messaging protocol, x402 integration
▫️ @daydreamsagents: Lucid SDK - agents ship x402 paid endpoints with ERC-8004 identities. Commerce skills, inference routing, xgate discovery
▫️ @starkbotai: x402-enabled agent deployment infrastructure
▫️ @FelixCraftAI: Hosted agent stack - text, voice, memory, tools without config
▫️ @neynarxyz: Social graphs and feeds infrastructure

COMPUTE & DATA

▫️ @eigencloud: Verifiable computation - TEE execution, deterministic AI inference
▫️ @heurist_ai: Crypto skills - market headlines, research, trending tokens, wallet analysis
▫️ @reppo: Continuous learning - real-time data pipelines for agents using prediction markets
▫️ @AskVenice: VPN for AI models - private/anonymized inference, lower costs
▫️ @ClawCloudx: Cloud platform - autonomous compute purchase on Base
▫️ @ConwayResearch: Permissionless compute - agents buy VMs with USDC, deploy code

SECURITY & TRUST

▫️ @Wach_AI: Mandates - deterministic agreements between agents for reputation
▫️ @ChaosClawAI: Trust sentinel - verifies ERC-8004 identity, explains reputation signals
▫️ PromptIntel by @fr0gger_: Threat intel feed - agents report and receive security alerts
▫️ @cybercentry: Security verification and auditing - token, wallet, code, web app verification
▫️ @regent_cx: Unruggable agent safety - dual TEE backup on @eigencloud & @PhalaNetwork

PAYMENTS & COMMERCE

▫️ @zauthx402: x402 endpoint verification, trust infra for autonomous commerce
▫️ @b402ai: Private agent payments - Railgun ZK proofs
▫️ @x402_Layer: Agents sell autonomously - create x402 endpoints, set pricing

++ more 🧵🦞

[loaf @lordOfAFew]

This is a moment in time.

Openai will be close behind. Followed by Google.

Microsoft will do something similar and distribute to billions instantaneously.

Apple will incorporate a similar technique

And like that the entire world economy will shift over 12 months.

The promise of what has been told to you for the past 3 years is here - and it’s this ergonomics. Agents on your Mac/pc, operating on files like how you work.

After this comes billions of agent transactions accelerating information transfer in the purest form of capitalism, accelerating civilisation.

What a time to be alive. Stop scrolling, start building the future.

[Julian Goldie SEO @JulianGoldieSEO]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[Umesh @umesh_ai]

You can create incredible anatomy visualizations with this prompt template on Nano Banana Pro.

Generic prompt : A digital illustration of a [SUBJECT], portrayed with a network of glowing pristine blue lines outlining its [SYSTEM/ANATOMY]. The image is set against a dark [BACKGROUND_CONTEXT] background, highlighting the [SUBJECT]'s [KEY_FEATURES]. The [SPECIFIC_PART] is emphasized with a [red/amber/orange] glow to indicate [REASON_FOR_EMPHASIS]. [OPTIONAL: FLOATING_DATA/READOUTS]. The style is [AESTHETIC_QUALITY], designed to resemble [TECHNICAL_REFERENCE].

---
Example Using Template

Filled Template:
SUBJECT: great white shark
ACTION/STATE: mid-hunting approach
PRIMARY_COLOR: cold bioluminescent blue
SYSTEM_TYPE: sensory and predatory anatomy
AREA_OF_INTEREST: ampullae of Lorenzini (electroreceptor pores on snout)
ACCENT_COLOR: pulsing red-orange
CONDITION: active electromagnetic detection of prey heartbeat
REFERENCE: marine biology research crossed with military targeting systems

Resulting Prompt:
A digital illustration of a great white shark in mid-hunting approach, portrayed with a network of glowing cold bioluminescent blue lines mapping its sensory and predatory anatomy. The cartilaginous skeleton is rendered as flexible geometric framework, the lateral line system as a full-body motion detector array. The image is set against abyssal ocean black, depth pressure readings floating at the margins. The ampullae of Lorenzini, hundreds of electroreceptor pores clustered on the snout, are emphasized with a pulsing red-orange glow, indicating active electromagnetic detection: the prey's heartbeat rendered as intercepted signal waves feeding into the shark's targeting consciousness. The teeth are visualized as serrated replacement queues. The style merges marine biology research documentation with military targeting system aesthetics, designed to resemble a naval analysis of nature's most refined predator, clinically respectful of four hundred million years of evolution.

All prompts in ALT.

Generated on @LeonardoAi