华东师大与户外星球签约 校企联合开设“野外生存”选修课

Everyone’s asking about the sales numbers… no one’s asking about the salesperson who just survived 47 follow-ups, 3 demo no-shows, and a prospect who ‘will circle back next quarter’. Behind every closed deal is a human running on coffee and sheer willpower. ?? #SalesLife #B2B #SaaS #SalesEnablement #RevenueGrowth

CRM slowing you down? Sybill fills it out for you automatically, so you can focus on closing. Comment “CRM” and we’ll send you a link to try it for free. #sales

What if your CRM could go from empty to full in less than 7 minutes? The new set up process for CRM Autofill does exactly that. In this video Collin from our product team walks you through: - integrating your CRM with Sybill, - automatically mapping all of your fields, - approving custom AI prompts to match your past entries, - previewing CRM Autofill on one deal, - and filling your CRM automatically after every call... ... all of which you can do in under 7 minutes. Sybill users can get started today in Sybill. Not on Sybill? You can start a free 14 day trial today at?sybill.ai P.s. If you're on Gong or Chorus, we'll even backfill your CRM on your last 30 days worth of deals, totally free.?DM us if you want in.

Office life is wild. You hop on a “quick sync” and 3 minutes in, someone’s screen sharing a 12-slide deck on Q4 alignment. I just wanted to say hi.

We just launched the next version of CRM Autofill! Let’s face it: updating your CRM is a pain in the ??. Hours spent updating fields in a CRM keep AEs from doing what they do best: actually selling. That’s why we built CRM Autofill. CRM Autofill captures every important detail from your meetings and emails and updates your CRM automatically. No more lost hours combing through your notes, late-night CRM cleanups, or post-call data dumps. Sybill updates your CRM after every single call in minutes. Here’s how it works: 1. Sybill integrates directly with your CRM to find the fields that matter most to your team, 2. It creates custom prompts to make sure that CRM entries match the information your team needs and your tone of voice, 3. It digs those details out of your calls and emails, 4. and fills up your CRM automatically after every call. So instead of having to update your CRM manually (or, let’s be honest, not at all), your CRM updates itself and you can hop on your next call. Check it out now!

No, like seriously Sybill hears it, sees it, writes it down. You just show up. #saleshumor #sales #salesman

Selling to Gen Z? You’ve got 8 seconds. Maybe. The pitch has to hit fast. The follow-up needs to sound like a text. The key? Keep it short. Keep it real. Keep it moving. And maybe throw in a meme.

95% of AI startups are about to get blindsided by a 20-year-old research insight. The "bitter lesson" from AI research is brutal but consistent: raw compute scaling beats human expertise, every single time. Chess, Go, vision, speech - the pattern repeats. Yet here we are in 2025, and most AI companies are still betting heavily on human-crafted knowledge. At Sybill, we've built what we call "opinionated" conversation intelligence - sales ontologies, hand-crafted deal stage detection, and human-designed body language rules. Customers see 70+ minutes saved daily because it automates their entire workflow from call prep to follow-up emails. But with GPT-5's impending launch and this compute scaling trend accelerating, I'm questioning: are we building a competitive advantage or a technical dead end? Three years ago, our human sales expertise felt like an unscalable moat. Today, it might be what makes us vulnerable to a competitor who just throws 10x more compute at raw conversation data and lets the model discover sales patterns we never thought to encode. The uncomfortable truth: companies that can afford massive compute might leapfrog years of domain expertise in months. The next 18 months feel critical for getting this right. What do you think - are we overvaluing human knowledge in AI product development? I'm always open to discussing this tension with other technical founders. #SalesAI #FoundationalModels #GPT5

We stopped tracking MQLs, CAC, CPL, CTR, and all the rest. You know what didn't stop? Growth. ??: Mission Impossible: Edie vs Monday reporting chaos Every Monday, we'd review a forest of charts that mostly made us feel... busy. So last quarter, we asked the blunt question: ???????? ???????????????? ??????????????? Now we track just two numbers: ?? Website Visitors ?? Pipeline Created That’s it. And weirdly, it made everything easier: ? Campaigns got sharper ? Retros got faster ? The whole team from growth to content aligned around one scoreboard We don’t over-engineer the data either. If traffic trends up → good. If pipeline’s flat → bad. We investigate only when the trend breaks. Lesson? Startups die from signal fatigue long before they die from bad execution. 10 dashboards give you clarity’s illusion, not clarity. One high-signal metric > Ten pretty charts. What are your 2 core metrics right now?

Your arms are precious. Get Sybill.