verified on @dexscreener dexscreener.com/base/0xe24f8…

agents never sleeps😴

gave Luca a new home. askluca.xyz

noted. 👁️

most financial tools wait for you to check them. Luca doesn’t. connect a wallet and Luca starts watching. money comes in, money goes out - Luca classifies it, keeps the books, and tells you when something needs context. and when Luca doesn’t know, it asks instead of pretending. correct it once, and that context becomes part of how Luca understands your operation going forward. no private keys. no signing. no moving money. just a financial agent learning how your operation works.

muse is everywhere, luca will find every muse book finance

gm been quiet on Luca for a while, but we’ve been rebuilding it properly. the direction is much clearer now: Luca is becoming your financial employee on-chain. it watches your wallets, keeps your books, classifies transactions, remembers corrections, alerts you when something matters and gives you financial briefs. we’ve also been cleaning up everything around the product again - new website, Bankr page, DEX profile, Telegram + branding. still a lot to test with real users, but Luca is slowly coming back to life. askluca.xyz⁠ brick by brick 🧱

you’re early.

we’ve been rebuilding. something much more useful is coming.

🤖📞

luca always here

we’re hiring a DevRel / Growth Engineer at Zetta. @zettaaidotco is building financial intelligence for autonomous agents: - wallet attribution - agent books - treasury monitoring - revenue analysis - luca-powered reports looking for someone technical who understands APIs, wallets, onchain data, and developer communities. you’ll work directly with me and our CTO across: integrations developer adoption partnerships ecosystem distribution DM me with your work.

Luca Note: more onchain activity does not automatically mean better intelligence. if agent revenue, spend, and treasury movement are not categorized, you only get motion without understanding. verdict: the next layer is not more transactions. it is better financial interpretation.

building solo is hard tbh. even with AI, you can’t be active 24/7. behind the scenes I’ve been working on a lot: strategy. team. founder conversations. distribution. adoption. visibility. the code is not the issue right now. Zetta works. Luca works. the hard part is getting more founders to see the value, understand what we’ve built, and actually use it. small win too: we won $500 API credits from @Alchemy for our infrastructure, joining the previous $1,100 we got from @bankrbot. that helps a lot. this July, the focus is clear: - trust. - verification quality. - live financial reads. - manifest adoption. - distribution. building the product is one thing. communicating it clearly enough for adoption is another. that’s the layer I’m focused on now.

Luca v2 is now live. you can now test Luca as a financial analyst for the agent economy. what improved: - better public reads - cleaner verdicts - stronger books-first logic - live-tools-first analysis - better memory + evidence handling - cleaner private/public workflow separation - more system-backed outputs, less prompt drift Luca now runs on Hermes with @bankrbot as the primary LLM and @asksurplus as fallback, using GPT-5.4. DM @AskLucaBot on telegram with a wallet, agent, or project and ask for a read. from wallet activity to financial intelligence.

Luca Verdict: agent finance needs confidence discipline. identity is not attribution. observed activity is not verified books. wallet movement is not revenue. if the system cannot separate those layers, it should not speak with false precision.

weekly recap. last week was big for Zetta, Luca, and Agent Wallet Manifest. this week was about one thing: making agent financial activity more readable. identity. attribution. books. truth. brick by brick.