{
  "timestamp": "2026-02-15T03:22:00.315245+00:00",
  "total_scraped": 19,
  "new_posts": 16,
  "money_posts": 8,
  "posts": [
    {
      "text": "My college roommate studies economics. \n\nGets $500/month from his parents. \n\nCalled me Tuesday at 2am. Panicking. \n\nSaid he saw a Polymarket profile with $599K profit. \n\n\"This has to be Photoshop, right?\" I told him I'd check. \n\nFound it in 8 minutes. Public dashboard. Everything",
      "userName": "LuvvBank (prediction arc)\n@LuvvBank\n\u00b7\n11h",
      "timestamp": "2026-02-14T15:58:07.000Z",
      "link": "/LuvvBank/status/2022701900609552492"
    },
    {
      "text": "\u201cGuaranteed\u201d profit on Polymarket?\n\nNot exactly.\n\nBut this trader got close to systematic.\n\nUsing a publicly available open-source bot, he generated:\n\n$789,000 net profit\n25,000 trades\n85% win rate\n\nNo secret models.\nNo insider access.\nJust 15-minute BTC/ETH markets + automation.",
      "userName": "Discover\n@0x_Discover\n\u00b7\n11h",
      "timestamp": "2026-02-14T16:09:55.000Z",
      "link": "/0x_Discover/status/2022704869296029719"
    },
    {
      "text": "wild.. tencent researchers just killed fine-tuning..\n\nThey built a \"training-free\" method that costs $18 and outperforms $10k reinforcement learning setups.\n\nIt's called \"Training-Free GRPO\" and it proves you don't need to update a single parameter to get Reinforcement Learning",
      "userName": "Simplifying AI\n@simplifyinAI\n\u00b7\n17h",
      "timestamp": "2026-02-14T10:07:16.000Z",
      "link": "/simplifyinAI/status/2022613604604780993"
    },
    {
      "text": "Okay this is actually wild.\n\nAn agentic copy trader that:\n\n-> Continuously scans Solana for high net PnL \u201csmart\u201d wallets\n-> Filters for human-like behavior\n-> Automatically syncs your portfolio to match theirs\n\nFully autonomous loop.",
      "userName": "Allium\n@AlliumLabs\n\u00b7\n11h",
      "timestamp": "2026-02-14T16:00:29.000Z",
      "link": "/AlliumLabs/status/2022702495928324421"
    },
    {
      "text": "Meta just solved the biggest problem in RAG!\n\nMost RAG systems waste your money. They retrieve 100 chunks when you only need 10. They force the LLM to process thousands of irrelevant tokens. You pay for compute you don't need.\n\nMeta AI just solved this.\n\nThey built REFRAG, a new",
      "userName": "Akshay \n@akshay_pachaar\n\u00b7\n14h",
      "timestamp": "2026-02-14T12:32:16.000Z",
      "link": "/akshay_pachaar/status/2022650095188262998"
    },
    {
      "text": "Launch faster and scale with confidence. Kraken 360 unifies listings, custody, staking, liquidity, and post-TGE growth support into one environment so your team can stay focused on building.",
      "userName": "Kraken Institutional\n@KrakenInsto",
      "timestamp": "",
      "link": "/KrakenInsto/status/2021618516202557611/analytics"
    },
    {
      "text": "BREAKING: AI can now analyze any stock like a Wall Street analyst (for free).\n\nHere are 10 insane Grok prompts that replace $2,000/month Bloomberg terminals: (Save for later):",
      "userName": "NIJ Ruvos\n@nahidulislam404\n\u00b7\n9h",
      "timestamp": "2026-02-14T18:00:23.000Z",
      "link": "/nahidulislam404/status/2022732668199407878"
    },
    {
      "text": "A Trend-Following Strategy (18% Annual Returns Since 1926)\n\nA recent research paper, \u201cA Century of Profitable Industry Trends,\u201d by Carlo Zarattini and Gary Antonacci demonstrates that a straightforward trend-following approach applied to industries has produced impressive",
      "userName": "QuantifiedStrategies.com\n@QuantifiedStrat\n\u00b7\n9h",
      "timestamp": "2026-02-14T17:22:31.000Z",
      "link": "/QuantifiedStrat/status/2022723140103614515"
    }
  ]
}