It's genuinely INSANE that you can build a whole outbound team inside Grok @bot with six empty chats and one pasted installer. Every weekday morning you open one chat, and the best-fit companies that showed a buying signal this week are already there, ranked, each with an email written for you. Moves → catches who just changed jobs, who's hiring hard and which roles got reposted Tenders → finds public tenders and contract awards in your market Rivals → spots who's getting close to your competitors' sales teams Money → picks up funding rounds and acquisitions, then searches X for more Lead → drops what doesn't fit, ranks the rest, keeps the best 8 Writer → writes one email per company, opening on something public about them Do they send anything? No. You approve what's good, then send it from your own inbox or push it into an Overloop AI campaign. Our first run: 46 signals in, 14 dropped for country, 8 companies out, an email for each. If you build yours, keep Lead's first rule as it is: two different signals on the same company in the same week go to the top, whatever they are. You can copy the whole setup from the guide below, with all ten signals ranked and when to act on each. Start with three bots.

so you're telling me grok @bot can find who's most likely to buy AND write the emails, every single day on repeat?

most teams track every signal they can find and drown in noise. in YourMax.ai, you just ask which signals fit your market, and it tells you why each one matters. here's the signal strategy playbook, step by step: step 1: tell it what you sell - in Sourcing > Targeting, describe your business in one or two lines - add your competitors by domain or LinkedIn URL - YourMax.ai uses this to suggest signals and judge which leads fit step 2: ask which signals to track - open the chat and ask "which signals should I track to find buyers in my market?" - add "don't set anything up yet" if you only want advice step 3: get the why behind each one - website visitors: companies already on your site, the warmest intent there is - competitor relationships: people joining the network of your competitors' sales teams - social mentions: posts about the exact pains you solve, with suggested keywords - recruitment campaigns and republished job offers: teams hiring sales reps or struggling to fill those roles - fundraising: freshly funded companies with new growth targets - it closes with a top 3 to start with step 4: keep the ones that fit your buyers - open Sourcing > Signals > All signals and hover any card to see what it watches - turn on the ones that match how your buyers actually enter a buying cycle setup: nothing to install, the chat already knows your targeting. bookmark this if you want to set it up later.

Five DataFast clones in three days. One for $29, four for free.... So that's the price now. And it got there for one reason: the thing can be built in a weekend, by anyone. When anyone can build it, the only thing left to compete on is price. And competing on price alone is a zero sum game. Take a look at this series of events... DataBull launched at $29 for life, and four and a half hours later a free one was announced. By the next day one of the free ones was calling itself an open-source version of DataFast and DataBull, so the clone got cloned too. I think it's pretty much Murphy's law for software in AI: if one person can clone it over a weekend, everyone will. And even the winner of that race wins almost nothing. These tools are built for indie hackers and solo founders, the README says so itself. That was never a big market, and now five clones split it, four of them at zero. Nobody gets rich splitting that. So the only way out is something behind the product that nobody can clone with an ounce of motivation and a Claude Code subscription.

New VP + fresh round at the same company = the best buying signal you can target for B2B Of the several buying signals we track, no pair converts better. Several times our cold baseline. So the rule is simple: VP in the seat < 90 days + round announced < 2 weeks ago = drop everything else. How to find such leads (with yourmax.ai): 1. Switch on two watches: job changes for the titles you sell to, and funding rounds. 2. Every day, yourmax.ai gives you a fresh shortlist, with the reason and the evidence behind each lead. 3. Put any company that shows up in both at the top. 4. Open the profile. Start date under 90 days, and they own the budget. 5. max drafts the first email. You edit it, approve it, and push the lead to Overloop AI. On that email, leave the round and the new role out of it. Most folks who reach out would open with something basic like "congrats" that same week. Don't do that. Don't mention any of the signals you've tracked. Write about what they now have to deliver with the money, and the one piece of it you can take off their plate.

Grok @bot is killer for running signal-based outbound. We built an outbound team out of six of them, each with one job, without any code. Their first run went through 46 buying signals and came back with 8 companies and a draft email for each. Two of them even caught problems the others had missed, which I had NOT planned for. We named each bot after its job. Four of them are watchers. They pull buying signals from yourmax.ai and rank who to reach out to first. Here's every bot and what it does: - Moves: people changing jobs, and companies hiring or reposting the same role - Rivals: people making new connections with a competitor's sales team - Money: funding rounds and acquisitions, plus funding news it finds on X - Tenders: public tenders, where a public body posts what it wants to buy (nothing yet, we haven't set those watches up) The other two do the thinking. Lead is the team lead (not a sales lead). It gathers what the watchers found, drops companies that clearly don't fit and keeps the best 8. A company with two different signals in the same week goes straight to the top. On the first run, the Money bot had attached an X post to a company the Moves bot found, so it looked like two signals. The Lead bot opened the post, saw it was about another company, and didn't count it. The Writer bot drafts one email per company, starting from something public about them. Its best one opened with a podcast the prospect had been on. The bots never send anything. You approve, edit or drop each draft in the Lead bot's chat, then send the good ones yourself, from your inbox or an Overloop AI campaign. We used @grok Bot because all six run on the same cloud computer and work from that one sheet, so the next bot picks up whatever the last one found. To build your outbound @bot, simply dump the article's link into your chat and it will take it from there.

KO for @ChatSEO_app

You can book more meetings from outbound all while contacting fewer people. Earlier this year, we ran outbound on 142 leads that had all shown a buying signal. 12% of them replied, where cold usually sits around 2 to 3%, and we booked 19 meetings in two weeks. Same on the phone. A recent cold call session on a warm intent list got me an 80% connection rate (I dial everyone twice) and 15% meetings booked. So what changed? Mostly who we contact, and when. Here are 20 tips to help you do the same with signal-based outbound: Your ICP first 1. Check it against the deals you actually closed. I did this on our HubSpot and mine was skipping 1-10 employee companies... 178 of my won deals were exactly those. 2. When I split my 500 won deals by industry, size and country, they came out as 3 segments. I'd give each one its own ICP. 3. One campaign per ICP too, or your first line ends up generic for everybody. 4. Before you approve a lead, check it's not already in your CRM. You really don't want to cold pitch someone who's already a customer. Who goes on the list 5. A job posted for the second time is worth a look. Usually it means they're struggling to fill it. 6. Almost nobody watches public tenders, they're a pain to track. But the budget is there, and the person to contact is at the public body that published it. 7. Look for two different signals on the same account. Someone engaging with your competitor AND a new role opening on that team, that's interesting. Two likes, not so much. 8. A new VP or C-level arriving is the strongest one we've seen. They usually take a fresh look at their vendors in the first 90 days. 9. For every person on the list, write one line on why this week. If you can't, they probably shouldn't be there yet. Calling 10. Only look up mobile numbers for the people you'll call this week. It's the most expensive thing to enrich, so I leave it for last. 11. Act quickly on a signal. After a funding round I'd say about two weeks, a reorg gives you a bit longer, maybe a month. 12. If an account with real potential opens your emails a few times, I call. Website visitors 13. Use a visit for timing only. What you say should come from something they did in public, like a post they commented on. 14. And please never mention the visit, it just reads as creepy. 15. Before you act on one, double check you matched the right company and that the page they read has something to do with what you sell. After that 16. When leads go into your sequencer, keep the signal attached, so whoever writes the email knows why you're reaching out now. Ours go to Overloop AI. 17. Read the source behind each signal before approving, sometimes it says something else than what you expected. 18. Auto-accept on new leads is fine once the fit scores mostly look right to you. Older leads stay manual anyway. 19. When deals close, go back and check which signals they came from, and watch more of those. 20. No CRM connected? Take your last ten wins and write down what was going on at each account in the month before you first spoke. (bookmark for later)

Introducing an open-source bot on Meta's Muse Wonder that finds people asking on LinkedIn for what you sell... and has the email written before you've even seen their post. Here's what it does for you: - Finds people on LinkedIn asking for a provider in your category (through yourmax.ai) - Drops anyone who doesn't fit your offer or whose timing is off, and tells you why - Reads their company's site, so the email isn't generic - Writes the email and two follow-ups - Sends what you approve through Overloop AI, most urgent first - Tells you who replied and drafts your answer Your part is approving the drafts and pasting in the replies. It runs on your laptop. A lead it drops costs two Muse Wonder calls at most, so you only pay to research and write the ones that pass. Comment below and I'll send the repo.

gm

Walking the talk! @elonmusk called it in 2019

Can’t wait to avoid traffic jam while dropping the kids

We tested ChatGPT Ads for Sortlist. 16 days. 2 markets, DE and FR. 1,109 € spent. 510 clicks. 0 briefs. Most ChatGPT users are on the free plan. Turns out people who don't pay for software rarely hire agencies. Paused. Lesson learned for 1,109 €.