lets start with mass deploys: add a required co-signer to the create + createV2 instruction in the pf program so every launch tx must be co-signed by your backend then add a captcha to your launch ui that gets verified server-side before co-signing to prevent direct automated api calls using privy jwts / cookies et viola - mass deploys solved without adding a deploy fee xitter.cf/json1444/status/204192…

this has effectively been running by "someone" since creator fees launched two finetuned models, trained on the full dataset of ~13m pump launches at the time model one estimates launch probability per tweet, trained on historical data mapping tweet content, topic, and account to actual downstream token launches including how many tokens were historically launched from similar tweets or similar accounts runs in <250ms and autonomously decides whether its worth launching or not model two generates name and ticker, trained on historical token naming decisions to model how specific topics and tweet contexts shape naming patterns for example, it quickly learned that when a person or animal dies or gets injured, tokens in the past were often named “justice for ... ” so it adapted its name and ticker outputs, something you would never achieve without your own finetuned model you are starting a game here that someone else already won a long time ago, and it wont work for the masses