Dinh Tran

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Dinh Tran

Dinh Tran

@ReyTheAlpha

CEO of AlphaTrue

Katılım Haziran 2022
314 Takip Edilen356 Takipçiler
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Landseer Enga
Landseer Enga@LandseerEnga·
every App Store rejection costs you 2-5 days. so we built a cli that scans your iOS app against apple's guidelines before you submit. > payment & IAP compliance > privacy manifests & data declarations > required sign-in & account deletion flows > metadata & completeness checks > binary validation now with a added cloud device feature, so it validates full user flows, not just the binary. made it a claude code and codex skill. it fixes every issue it finds. scan, fix, repeat until it passes.
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cvxv666
cvxv666@antpalkin·
A 20-year-old in Shenzhen owns a company that turned $1,200 into $395,000. Its workforce is 300 AI agents. Its CEO is also an AI. Human employees: zero. The entire org chart: > CEO - Claude Opus 4.8. Sets the goal, vetoes every weak trade. > Workforce - 300 agents. They read the order book, the news, every Bitcoin market at once. > Risk officer - a hard daily loss cap. Shuts the whole floor the second it's hit. > Payroll: $0. Meetings: 0. Days off: 0. > HQ: a dorm room. It runs as one loop - the agents propose, the CEO disposes, the survivors trade, repeat. He just owns the place. Save this full loop pipeline is in the post below.
cvxv666@antpalkin

While AI timeline argues about loop engineering, a 20-year-old student in Shenzhen built the biggest loop anyone's aimed at money: 300 agents, one brain, $1,200 -> 395,000. Not a prompt. Not a bot. A loop that runs the whole job on its own - and never asks him a thing. No fund. No backers. Just a laptop, a dorm room, and a bet that a swarm beats a genius. His wallet: @easypredict?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@easypredict?v… The smartest single model still works one step at a time. His loop moves in 300 directions at once - and never checks in with him. Claude Opus 4.8 runs the floor as the brain. 300 agents are the hands. One loop ties them together: > Decompose - Opus breaks the market into targets > Dispatch - 300 agents scatter across them at once > Execute - thousands of reads in a single pass, not one by one > Review - Opus grades every edge before a cent moves The hands find. The brain judges. The loop learns what failed and runs again, tighter each time. One daily loss cap, and it shuts itself down. It's not a bot you babysit. It's a loop that runs the whole desk. Everyone's just learning to run one loop. He runs 300 in one. The edge was never the genius model - it's the size of the loop, and the brain in charge of it. Save this - the full 300-agent loop is laid out above, start to finish. You'll want it when you build your own. 300 agents are looping right now, hunting the markets everyone skips. Two clicks and their trades land in your wallet too: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666

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Ridark
Ridark@ridark_eth·
How a 24-year-old programmer from Portugal made $18,200 in a month on football betting He created an AI analyst that finds flaws in bookmakers' live lines in real time and delivers predictions with an 84% win rate. Costs: $0 (Used free APIs and Windsurf IDE) He launched a Python script that maps out match videos in real time: Top layer: A Computer Vision algorithm recognizes the positions of players from both teams (blue and pink dots) and the ball, instantly transferring them onto a 2D pitch layout. This allows the AI to track team formations and open spaces in high detail, things regular bettors completely miss. Bottom layer: Python code (written alongside the Windsurf AI assistant), where the SoccerPitchConfiguration class defines the field, penalty box, and center circle dimensions down to the centimeter for perfect player-distance calculations. The AI constantly correlates the real-time movement of players on the pitch with live bookmaker odds. The moment the algorithm detects that a team has pinned their opponent into a specific zone or exposed their flanks, while the bookmaker hasn't adjusted the odds yet, the script automatically fires a betting signal. First week: >Live bets placed: 142 > Won bets: 119 > Net profit: +$4,350 using a flat $50 stake The AI completely automated the entire cycle: Windsurf and Claude wrote the tracking code, and the algorithm autonomously parses live odds, calculates the mathematical expectation of value bets, generates player heatmaps, and spots hidden tactical anomalies. It runs 100% autonomously. Bookmark it and check out the article below 👇
Ridark@ridark_eth

x.com/i/article/2069…

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Ksenia Moskalenko
Ksenia Moskalenko@kseniam0s·
FOUNDERS: You've been paying to build on Claude. @AnthropicAI launched a program to change that. @Claudeai for Startups - free API credits and priority rate limits for early-stage VC-backed founders: - Free Claude API credits - Highest rate limits, no throttling in production - Hackathons, Founder Days, and meetups - Early access to new model releases Build with the full Claude stack: Claude API, Claude Code, Claude Managed Agents, and Claude Cowork. To qualify: your startup must be early-stage and backed by one of Anthropic's partner VCs. Ask your investors for a unique application link. Apply → claude.com/programs/start… P.S. Founders using Claude to build - when you're ready to raise, @ThePageform is where your data room lives → pageform.io
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Claude
Claude@claudeai·
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
Web scraping is dead. PixelRAG skips HTML parsing completely. It screenshots the page and a vision model reads the answer straight off the pixels. 100% open-source. Comes with a Claude Code plugin that gives Claude eyes.
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MIKE
MIKE@mikenevermiss·
THIS SINGLE CLAUDE.md FILE HIT #1 ON GITHUB TRENDING. 90k+ stars. 7.8k forks. zero dependencies. save this before the feed buries it. it’s not another prompt pack. it’s a simple CLAUDE.md file built around 4 principles inspired by Karpathy’s coding habits: / think before coding / keep it simple / make surgical edits only / define the target before you start drop it into your project today and Claude Code starts behaving very differently. read it today. link below.
MIKE@mikenevermiss

x.com/i/article/2067…

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Ridark
Ridark@ridark_eth·
I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this
Yarchi@undefinedKi

x.com/i/article/2067…

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Ben Lang
Ben Lang@benln·
YC on how to pick a startup idea in the AI era:
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Isra
Isra@israfill·
your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳 agent-reach is trending on github with 23K stars. it lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos - all without paying for a single API subscription what your agent accesses for $0: - Twitter/X posts, profiles, and search - Reddit threads and comments - YouTube videos, metadata, and search - GitHub repos, issues, and profiles - 10+ more platforms - all in one pip install what this replaces: - Twitter API: $100/mo for basic access - Reddit API: rate-limited free tier, expensive at scale - YouTube API: quota limits, pay for more - GitHub API: generous but still rate-limited why this matters: - most AI agents are blind to the internet because APIs cost money - this gives any agent real-time web access at zero marginal cost - perfect for research agents, content radar, competitive intel, market analysis how to set up (2 min): > pip install agent-reach > run: agent-reach doctor > connect it to your agent as a tool > done - your agent can now search the internet for free important: - uses direct parsing, not official APIs - no keys needed - works with claude code, cursor, aider, langchain, any agent framework - MIT licensed, fully open source - not for production web scraping at scale - use for agentic research and prototyping - 23K stars and trending - community vetted let your agent browse Twitter, Reddit, and GitHub for $0 while everyone else is paying $100+/mo for API access bookmark this before payying for extra api ↓ repo in comment
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Isra@israfill

you can build production AI agents with GPT-5.5, grok 4.20, AND kimi k2.6 - 500 runs/month for FREE 😳 no credit card, google login works. stackai were acquired by asana last year and just opened up their free tier what you get for $0: - 500 agent runs per month (resets monthly) - GPT-5.5, grok 4.20, kimi k2.6, claude, gemini, 30+ model providers - visual drag-and-drop workflow builder (no code needed) - RAG from documents, web, google drive, notion - multi-modal: vision, text-to-speech, speech-to-text - logic nodes: python, javascript, code execution - browser extension, slack bot, REST API access - 2 projects, 1 seat what sets it apart from other free agent builders: - founded by MIT PhDs, backed by $16M series A - acquired by asana - not a random startup - 100+ enterprise integrations (salesforce, sharepoint, snowflake) - human-in-the-loop oversight - SOC 2 / HIPAA / GDPR compliance even on free tier - switch models per step in your workflow how to get started (3 min): > go to stackai.com > sign up with google - no credit card > create a new project > pick your model (GPT-5.5, grok, kimi, claude, whichever) > build your agent with the drag-and-drop editor > publish and use the chat UI or API endpoint important: - 500 runs/month limit - fine for testing and prototyping - 2 projects cap - enough to experiment - you can use temporary emails for multiple accounts to extend runs - no production SLA, this is for building and learning - runs reset monthly, not daily visual agent builder + 5 frontier models + enterprise integrations = $0 while everyone else pays $20/mo for each model subscription bookmark this before the free tier changes

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Vaidehi
Vaidehi@Ai_Vaidehi·
A Russian guy has discovered a method to learn anything ten times faster using AI! It involves NotebookLM, Gemini and Obsidian.
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cvxv666
cvxv666@antpalkin·
ChatGPT can write you a thousand trading strategies from one sentence. 999 will quietly bleed your account dry. Every single one of them looks like a winner. One method pulls the real one out. Quant desks have run it for years. It's called loop engineering. It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that back, and run it again until one survives data it has never seen. Man Group runs $150 billion. They built an AI that writes and tests hundreds of strategies a week. And second agent whose only job is to hunt the ones that secretly overfit and kill them before a cent goes live. > describe an idea -> backtest 5 years in 12 seconds > read why it died -> feed that back in > run it again until one survives data it never saw AI can write a thousand strategies. Loop engineering is the only thing that tells you which one was ever real. 89% of retail lost money in 2025. Almost none of it from bad ideas. All of it from trading the first guess and never running it through backtest loop. Horizon just put the whole thing in a chat box, free while the beta's open: join.horizon.trade/explore You're not losing to smarter traders. You're losing to the ones who opened the tab. Anyone can generate a strategy now. Almost no one runs the loop that proves it. That gap is the whole edge. You'll mean to check it later. Later is a "waitlist closed" page.
Horizon@horizon_trade_x

x.com/i/article/2067…

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0xFuck.ETH
0xFuck.ETH@0x404page·
卧槽兄弟们,GitHub 上真的有一堆免费到离谱的项目。 很多能力已经能直接干掉你正在月付的软件。 1. TradingAgents AI 多 Agent 量化交易框架 github.com/TauricResearch… 2. LibreChat 一个界面接入 ChatGPT、Claude、Gemini 等多个模型 github.com/danny-avila/Li… 3. HyperFrames HeyGen 开源的视频生成引擎 github.com/heygen-com/hyp… 4. Fincept Terminal 开源版彭博终端 github.com/Fincept-Corpor… 5. MoneyPrinterTurbo AI 一键生成短视频 github.com/harry0703/Mone… 6. Agentic Inbox Cloudflare 开源 AI 邮件助手 github.com/cloudflare/age… 7. VoxCPM AI 声音克隆工具 github.com/OpenBMB/VoxCPM 8. Flowsint 开源 OSINT 情报分析工具 github.com/reconurge/flow… 9. agent-skills Claude Code 技能库 github.com/addyosmani/age… 10. Nango 开源 API 集成平台 github.com/NangoHQ/nango 兄弟们,这些真不是玩具项目。 很多你还在交月费的软件,GitHub 上已经有人做出开源平替了。 一句话: 别只会收藏 AI 工具网站了。 真正狠的东西,很多都藏在 GitHub 里。
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Stan Trenev
Stan Trenev@sstrenev·
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.
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Beni💗
Beni💗@0x_beni_·
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
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Hacklist 🟢@HackListHQ

HackList just expanded🥳 We now aggregate AI and Web3 Hackathons, Bounties, Grants, Programs and Jobs all in one place so you never get to miss an update Find your next opportunity at hacklist.io

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柴郡🔔|Crypto+AI Plus
柴郡🔔|Crypto+AI Plus@0xCheshire·
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。
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DeFi Warhol
DeFi Warhol@Defi_Warhol·
📂 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)
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