Hey everyone, if any of you are doing Instagram DMs as outbound, how do you warm up accounts? I don't plan on buying them but creating the gmail from scratch and warming them up. The goal is to have 5 accounts running at limit which from what I've seen is 25 DMs/day. The online resources kind of say different methods. Do I really need to use proxies and vpns or could I do it lean, 5 accounts sending manually every day? Would love your input!

copied template for an appointment setter agent, did all the necessary changes in prompt such as location and time zone but my bot is still unable to check availability . am retrying again after any possible changes still unable to do it . helpppppp

I've been running cold email campaigns for clients for 3 years and the biggest shift I've seen isn't the tools. It's what actually gets a reply. Personalization used to mean scraping a name and company from LinkedIn, dropping it in the first line, and hitting send. "Hey {FirstName}, I noticed {Company} and thought..." That worked in 2022. It's dead now. Everyone's doing it and prospects can spot a mail merge from the subject line. What changed for me was treating personalization like actual research instead of a data field. Here's what I started doing: → I scrape the prospect's entire website. Not just the homepage. Blog posts, service pages, case studies, about page, even their contact form if it's there. → Then I feed all of that into OpenAI and have it analyze what they actually do, who they serve, and what problems they're likely dealing with. The AI doesn't just summarize. It finds the specific details nobody mentions in generic outreach. So instead of "I saw you work in logistics," the email opens with "Noticed you handle cross border freight into Mexico. Your blog mentioned customs delays eating 15% of delivery windows." That's the kind of line that gets opened because it doesn't sound like 500 other emails they got that week. The reply rates went from 2-3% with generic personalization to 8-10% with actual research. One prospect replied last week: "Your email won because you actually read our site. Everyone else sent the same template." The system I built does this automatically. Scrapes the website. Analyzes every page. Generates icebreakers that reference non-obvious details. It writes openers like a human who spent 20 minutes studying their business, except it does it for 1,000 prospects in an hour. Here's what I learned building this: Small prompt details make a massive difference. Having OpenAI shorten company names naturally (say "Stripe" not "Stripe Inc.") and reference specific pages beyond the homepage makes it feel real. The difference between "I saw your website" and "I saw your freight tracking dashboard lets customers get ETAs without calling" is everything.

Hey everyone :) My name is Ethan and I'm 23. I know how to code but haven't built something serious in a while tbh. Want get a solid grasp of how to build with AI so I can quickly make any ideas I get a reality and build cool things

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