CEO @sortlist ($1B+ generated for agencies) | overloop.com (LI + email outbound) | yourmax.ai (19+ intent signals connected to your stack)

Brussels, Belgium
🚨 PSA: I nearly got phished on X today. A verified account claiming to represent @Bloomberg DM’d me about an interview, sent me a real Calendly link, and the flow then redirected me to an X login / authorization screen. Extremely convincing. If you see this flow: don’t log in, don’t authorize anything, and revoke app access immediately. Sharing because I can easily see people falling for this.
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If you clicked the link AND logged into X, do this immediately: - Go directly to X → Settings → Security and account access → Apps and sessions - Revoke any app you don’t recognize - Change your X password - Log out of other sessions - Check that your email + phone number haven’t been changed - Enable / verify 2FA - If you reused that password anywhere else, change it there too And secure the email account connected to X as well. Don’t use the link again to “fix” anything. Go directly through the X app / x.com.
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Before buying another lead list, check the prospects you couldn't email. Your list may already include people who fit your offer, with a relevant buying signal giving you a reason to reach out. If your sequence requires a verified email, those contacts can get left out. If you stop there, you've let a missing address overrule the buying signal. That's the blind spot in single-channel outbound. A prospect can fit your offer and still be unreachable through the only channel you've set up. Try another data source first. If you still can't find a verified email, check whether LinkedIn gives you a sensible way to reach them. If it does, route them into LinkedIn outreach and check the connection before messaging. That's why we've prioritised email and LinkedIn outreach in Overloop AI. You can keep both in the same campaign and choose the next step based on the contact details available for each prospect. LinkedIn is worth prioritising for high-value prospects too, even when you have their email. If they're active there, you can use the buying signal to start a relevant conversation. Since LinkedIn has its own limits, be deliberate about which prospects get that attention, and stop the sequence when they reply.
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Nicolas Finet retweeted
We’ve raised $85M for this moment. Introducing Warp 2.0: The first AI Head of HR. Every company is building AI to replace jobs. Warp is building AI to do the jobs no human should have to: If you work in HR, I want you to spend time with the manager who needs help or building company culture people actually want to work at. If you’re a founder, I want you to focus on signing clients or spending time with your family. You shouldn’t have to figure out how to register state tax in California. You shouldn’t have to pay outrageous penalties because you don't know what a DE 9C is. I want to make HR human again. Today, this is finally possible with the Warp Agent. I’d love for you to see it in action: warp.co/agent
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This 2 year old video by IBM is a great way to understand what Jev does. IBM explains text classification: how AI reads something and works out which category it belongs to. The spam filter in your inbox is a familiar example. Now take a customer email: “You've charged me twice, and my renewal is tomorrow.” Before anyone writes a reply, there are decisions to make. Is this a billing issue? Is it urgent? Does someone need to check the account? You can give Jev that email and ask each question separately, with the answer options defined in advance. It returns structured answers and probabilities that your code can use to route the email to the right queue or flag it for review. That ability to make small judgments quickly and cheaply is what makes Jev interesting to me for outbound. Think about the work you do before contacting a prospect. > You read what the company is hiring for, what it has announced and whether any of it suggests a problem you can solve. > Then you check whether the person on your list can buy. We built a lead-ranking bot to run those judgments across a list. The workflow collects and verifies the signals, with evidence attached to each account. Jev judges company fit, current need, buyer fit and whether multiple signals tell the same story. Our code uses those answers to decide the order. Once you've collected enough outcomes, it can fit the weights to your own results and estimate reply probabilities. Full guide in the article below (bookmark for later):
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🧑‍🍳 🧑‍🍳
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I'm open sourcing the full outbound engine we built on @grok 4.7. Give it your offer and ICP, connect your accounts, and run it from Cursor. It takes you from buying signals to a ranked prospect list, a call list and email/LinkedIn campaign setup. Here's what the build does: • Pulls leads with buying signals like hiring, funding and competitor connections, along with the available evidence. • Checks that evidence against what you sell. Grok judges whether there's a current need and whether you've found someone who can buy. • Ranks prospects, selects up to one contact per company for outreach and flags strong accounts where you need a different buyer. • Builds a call list and chooses from six email/LinkedIn sequence templates based on priority, signal and available contact details. • Lets you log replies and meetings, then compare response rates above and below your scoring threshold. We integrated our own tools into it: yourmax.ai supplies the leads and signals. The bot enrolls selected prospects in Overloop.com and configures new campaigns to generate messages from your pitch and voice settings, with automatic sends and follow-ups disabled for review. You get the code, integrations, Grok skill, scoring rules and outreach sequences. Fork it, change the rules, and run it for your own business. The article below walks through the whole build. Link to the repository in the replies.
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Nicolas Finet retweeted
AI can run a brand better than humans. We ran a brand with ONLY AI agents to prove it. Introducing Notch: the AI behind it. usenotch.ai
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How it started
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How it’s going
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Now let’s 🚢 🚢
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Codex maxed out Claude maxed out Kimi maxed out Resets in 11 hours
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Fifty high intent leads, a mobile number on every one of them, one hour of calls, and two meetings booked off that list before they had even worked through it entirely. It worked because every name on that list had done something in the days before. You are catching people inside the window where they are already looking for what you sell. Anyone can build a list like that. You watch for the right moments: -> a tender published in your category -> a role reposted after the first attempt did not fill it -> someone connecting with a competitor's sales team -> a new VP or C-level walking into the role that owns your problem -> a funding round closing -> an acquisition, on either side of it -> someone posting about the problem you solve -> a company registering in your patch Pick two and track them by automating it with @bot or claude code. Then tier the list before you begin outreach: Tier 1. Strong signal, clean ICP match. Phone first, that same week, then email and LinkedIn behind it. Tier 2. Right signal, weaker fit. Email and LinkedIn, no call. Tier 3. Thin signal on its own. Hold it until a second signal lands on the same account. In the above case, yourmax.ai did all the signal tracking. You simply connect Claude Code with yourmax.ai, and each morning, you get a list of people to reach out to. Each one arrives as a packet: the account, the angle to take, and the copy already written, waiting on your approval. Approve it and Overloop AI launches it. Tier 1 you call yourself. Tier 2 and tier 3 go out as one coordinated sequence, the LinkedIn touch and the email both opening on the event that put them there.
caught up F2F with a long time @sortlist customer in Amsterdam 2 weeks ago (high ticket agency) onboarded them on yourmax.ai last week, since then: - received 50 high intent leads - enriched each leads with mobilephone numbers (natively) - organized a 1h call session - booked 2 meetings last week thanks to the list (didn't even finish the whole list) the power of warm intent is 🤯
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About 30% of our no-shows come back after four messages. But the main problem is that follow-up depends on someone remembering to send it. We forget, we hesitate, we do it once and stop. So automate it. Build a sequence that starts when they miss the call: 1. One hour after, send a short email: "Looks like something slipped into your calendar. Here's a link to rebook in 2 clicks." No blame in it. They already feel a bit bad about missing it. 2. Next day, because some of them never saw that email, send the same link on LinkedIn: "Putting the link here too, just in case." 3. On day 3, email them one insight about their industry and don't ask for anything. You stay top of mind without being heavy. 4. Day 7 is the last email. Let them say no, that's an answer too: "If the timing's off now, tell me. Otherwise let's lock it in." After that we stop. We set ours up in Overloop AI in a few clicks. Any tool is fine if it sends the email and the LinkedIn message in one sequence, without someone pressing send. If you'd rather build it yourself, it's one of the five agents in the article below, with the Claude Code prompt for it.
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