Opus 4.7 Just Broke Polymarket (for us little guys)

The speaker announces the release of Opus 4.7 and its application to building bots for Poly Market. He emphasizes that his system and coding speed should improve with better AI models. The speaker, Mundav, believes coding is a great equalizer, empowering individuals to build their own ideas without relying on others. He shares his process openly, including potential "leaks," because of this belief. The core idea presented is to identify and "stink bid" on Polymarket whales. The process begins with creating a script to extract all Polymarket whales using the Mundev API. This script should output a list of whale wallets with full links to their Polymarket profiles. While this initial script runs, the speaker will manually review the generated list of whales on a separate terminal, filtering out undesirable ones. The final, curated list of whales will then be used to build a trading bot. This bot will operate similarly to existing "stink bid" bots for other markets. It will monitor the current positions of the selected whales. The strategy is to place bids on the same side of a market that a whale has taken, but at a discount (e.g., 30% less). The initial trading size for these bids will be $5. The speaker plans to select around 10 whales to follow, taking positions on their chosen sides at a discount. The speaker mentions a recent personal success with "zero DTE" (zero days to expiration) trading, achieving a 200% profit. This success prompted him to re-examine the Polymarket API for potential rebates. He reiterates his commitment to sharing his knowledge, believing that the community’s feedback and ideas in return are a fair exchange. He reflects on his past fear of coding, having spent years and significant amounts of money hiring developers. He contrasts this with the current ease of coding, especially with AI tools like Opus 4.7, which he uses via voice input with Whisper Flow. He likens the rapid advancement of AI models to the breaking of the four-minute mile barrier, where once thought impossible feats become commonplace. His ambition is to catch up to figures like Jim Simons, who amassed a $31 billion net worth, by leveraging these new AI capabilities. He stresses the need for speed and continuous development, as new AI versions are released frequently. The process of building the whale scanner and the stink bid bot is demonstrated. The speaker navigates GitHub repositories, locating the "Polyhyper whale scanner" script. He explains that the bot will call the API to get whale profiles and then filter them based on profitability (e.g., whales up at least $10,000). He acknowledges the "vibe coder" approach, where organization might be less strict but the output is effective. The speaker then delves into manually filtering the whales. He looks for individuals with a consistent positive profit and loss (P&L) curve, avoiding those with significant recent drawdowns. He emphasizes the importance of finding traders with a "true edge." He explains that he is being stringent in his selection, aiming for a specific number of whales to follow. He expresses a desire to find whales whose accounts are consistently growing. The selection process involves reviewing weekly and monthly performance, looking for upward trends. He shares that he is aiming for about 10 whales, but settles for seven after finding several suitable candidates. He instructs the bot developer to ensure the output of the bot is "nice and fun," including terminal color, and to set up the infrastructure for easy switching between different trading accounts. The speaker is excited about the potential of the "stink bid copybot" being set up with the selected seven whales. He highlights that he has provided the idea, the whale addresses, and the necessary tools, encouraging others to join his Zoom calls for further bonuses like API keys. He reiterates his pursuit of financial success, comparing his current opportunities (Opus 4.7, Polymarket, zero DTE) to those available to Jim Simons. He concludes with a motivational message, urging listeners to "lock in," focus on their goals, and optimize for fun in their endeavors. He emphasizes that with the right mindset and tools, anyone can achieve significant success, drawing parallels to the four-minute mile. He stresses the importance of self-belief, ignoring external noise, and living life to the fullest. He mentions that the whale scanner script is available for free on YouTube, and for more in-depth tutorials, he offers a boot camp. The final part of the transcript shows the execution of the whale scanner and the stink bid bot. The speaker notes that while the bot can identify and potentially place bids, it cannot execute orders in the United States due to regulatory reasons, a limitation he acknowledges. He expresses satisfaction with the progress, stating "We did it though."