I felt bored and vibe-coded a neobank in a week. The best part? You don’t even realize it runs entirely on crypto rails under the hood. Main functionalities: - On/off-ramp fiat to stables via BridgeXYZ - Send, receive, and request stablecoin payments on Base - Deploy funds to selected blue-chip DeFi protocols - Get a free Gnosis Pay crypto debit card All of this is powered by account abstraction and non-custodial wallets. Users receive a Privy wallet upon registration and never have to worry about signing transactions or approvals. Transactions are sponsored and batched via EIP-7702, so no separate token approvals are required either. In a nutshell: one-click access to stablecoin transactions sent directly to users via email, plus seamless entry into DeFi. Tech stack: - BridgeXYZ – on/off-ramp fiat to stables - Privy – non-custodial wallets - EIP-7702 – transaction batching and sponsoring - iOS app built with React Native - LIFI API – swapping between USDC and EURC - Resend – email notifications - DeFi protocols: Aave, Morpho, Compound, and YO - Gnosis Pay API – virtual crypto debit cards - NodeJs Backend Inspired by @alliance's request for startups. If you want to check it out, let me know so I can add you to TestFlight.

We expanded on @HackListHQ 🥳 We now aggregate Hackathons, Bounties, Grants, Builders Programs and Jobs all in one place so you never miss an opportunity I built HackList because I hated how fragmented finding opportunities was now I get to use it for myself along side with the community🟢 If you have feedback on how we can improve HackList drop it in the replies or send a Dm Also if you want to get your opportunity in front of thousands of builders and Creators list it at hacklist.io

看见一个很离谱的论文…… 如果你每天在收盘时买入美光科技，在第二天开盘时立刻卖出，几十年来会获得高达 138,330,342% 的收益。 但如果每天开盘买入，当天收盘时卖出，你的投资最终会几乎全部亏损-99.92%。 作者表示，这一切都是既得利益者的阴谋，所有市场都一样。 是的，包括咱们大 A。

📂 Crypto research tools for beginners ┃ ┣ 📂 Onchain analytics ┃ ┣ 📂 @DefiLlama ┃ ┣ 📂 @artemis ┃ ┣ 📂 @tokenterminal ┃ ┣ 📂 @Dune ┃ ┣ 📂 @nansen_ai ┃ ┣ 📂 @glassnode ┃ ┗ 📂 @DappRadar ┃ ┣ 📂 Market & token data ┃ ┣ 📂 @CoinMarketCap ┃ ┣ 📂 @CryptoRank_io ┃ ┣ 📂 @Tokenomist_ai ┃ ┗ 📂 @ICO_Analytics ┃ ┣ 📂 RWA & Stablecoins info ┃ ┣ 📂 @RWA_xyz ┃ ┗ 📂 @stablewatchHQ ┃ ┣ 📂 Research & news ┃ ┣ 📂 @MessariCrypto ┃ ┣ 📂 @Blockworks ┃ ┗ 📂 @DefiantNews ┃ ┣ 📂 AI tools ┃ ┣ 📂 @minara ┃ ┣ 📂 @grok ┃ ┗ 📂 @nansen_ai (the AI tool) ┃ ┗ 📂 Community ┣ 📂 @X (arguably the best one to learn) ┗ 📂 @discord (only some servers)

startup idea for you use OpenHands (75k github stars) 131 free subagents to sell a "done-for-you AI engineering team" to SMBs that need custom software what's OpenHands? open-source agent runtime that runs Claude/GPT as actual software engineers. they read your codebase, edit files, run tests, open PRs idea: 1. self-host OpenHands on a $20/mo VPS. claude code walks you through setup in an afternoon 2. pick one niche. real estate brokerages, dental practices, law firms, marketing agencies. SMBs that need custom software but can't afford a developer 3. wrap it in their language. "your AI engineering team for dental practices" not "an OpenHands instance with 131 subagents." 4. install the relevant subagents from VoltAgent. crm-specialist for real estate, hipaa-auditor for healthcare, document-automation for law firms 5. plug in MCP servers from the 14k available. GitHub, Stripe, Twilio, Postgres, Calendly. now your AI team can ship, deploy, integrate, and notify 6. charge $2,000-5,000/month per client. nothing compared to a $15k/mo dev shop or a $25k/mo junior hire. you're 5x cheaper and the work doesn't stop overnight 7. build one landing page. one onboarding call. record the AGENTS.md setup once. the rest is supervision 8. become the "AI engineering team for [niche]" person on X, LinkedIn, YouTube. share what your agents shipped this week. case studies sell themselves 9. reinvest profits into vertical-specific agents. a "patient-intake-automator" for dental. a "lease-document-generator" for real estate. now you own the vertical these businesses KNOW they need custom software. they hate hiring developers. they will never find OpenHands on github. they will google "outsource my software development." that's you open source is the new wholesale. the code is free. the orchestration is where the margin lives one person can do this. two-person team scales to $50k/mo. you don't need funding. you don't need an office. you need a laptop, a niche, and the willingness to start someone is going to do this. might as well be you p.s. repo into the article below

Jane Street AI Engineer revealed how they trained their own LLM for trading to make $22.5B/year 16 minutes. free. straight from tier-1 quants. bookmark & watch - this is the most honest "AI inside a hedge fund" talk ever published. forget the "AI trading bot" YouTube grifters. This is the real inside view: data, training, evals, integration. then start building your own bot using post below.

Basal Pay - convert digital assets into fiat Fast. Transparent. Automated Built on blockchain within a controlled sandboxCompliant with AML/CFT and the FATF Travel Rule

Boris Cherny, the creator of Claude Code at Anthropic, just listed 9 patterns that waste 73% of your tokens. in this podcast he breaks down exactly how the model burns tokens before it even reads your prompt: - the 14% you lose to CLAUDE.md before typing a word - the 13% you pay re-reading old chat history - the 11% from hooks you forgot you installed - why most "Claude got dumber" complaints are wrong if you're hitting Max limits more than once a week, you have at least 4 of these. Probably 7. instead of another show tonight, watch this. my own breakdown based on 400 hours of usage is below, read it after the podcast

POV: claude traveled 6 months into the future and told you exactly how your next move failed. it's called a premortem. daniel kahneman (nobel prize-winning psychologist behind "thinking fast and slow") called it his single most valuable decision-making technique. google, goldman sachs, and procter & gamble all use it before major launches. here's the problem it solves. when you ask claude "is this a good plan?" it finds all the reasons to say yes. that's what it was trained to do. so you walk away feeling confident. you execute, and spend weeks / months building on top of that plan. then it blows up. and you realize the problem was obvious in hindsight, you just never stress-tested it because claude told you it was solid. a premortem fixes this by flipping the frame. instead of asking "what could go wrong?" you tell claude "it's 6 months from now and this is already dead. tell me how it died." that shift turns off claude's optimism because there's nothing to be optimistic about. the premise already says it failed. so claude stops looking for reasons your plan will work and starts explaining how it fell apart. claude comes back with every way your plan could die, each one with a full failure story and the early warning signs to watch for. then a synthesis pulls it all together: > which failure is most likely > which failure is most dangerous > the single biggest hidden assumption you're making (often the most valuable part) > a revised version of your plan with the gaps closed you say "premortem this" and give it your plan. the skill handles the rest.

A few lesser-known products I love and use a ton: 1. cleanshot.com/ for screenshots 2. supercut.ai/ replaced Loom for me, so clean 3. textexpander.com/ for frequent snippets 4. matthewpalmer.net/rocket/ for emojis 5. brain.fm/ for focus

Today, we’re launching the @link wallet for agents. It lets you securely empower agents to spend on your behalf. Your payment credentials are never exposed and you approve every purchase. link.com/agents

8 months ago, @adamlyttleapps recorded a video about my formula Back then I was doing $15k/month. Now it’s $60k/month Apply it. It works.

Introducing Grader: the world's first AI CMO for restaurants. It’s helped us drive over $1 BILLION in sales for our customers. Grader outperforms human marketing teams. See how: