Ru Wikmann 🐝

@LoganTGott Playbook

LinkedIns algorithm changed dramatically in 2026. Only a small group realized and is taking advantage currently I decided to compile EVERYTHING needed to grow and sign clients on LinkedIn: → Profile optimization that positions you as the authority → Content strategy that brings in qualified followers → Lead magnet framework that brought me 500+ leads from ONE post → Outbound system that booked 5 calls from 122 DMs in a week → Hook frameworks and visual strategies that 10x engagement → Implementation timeline to execute everything properly One client increased quality impressions by 1,117% in 90 days. Another generates 30+ qualified leads monthly with this system. The founders who understand how LinkedIn actually works are eating while everyone else posts AI slop that gets ignored. Want the full 2026 LinkedIn Playbook? Follow me & comment "PLAYBOOK" I'll DM it to you soon

@hasan28d Nano

Nano Banana + MakeUGC + Veo3 = AI content Factory This agent pumps out hundreds of ads daily — fully automated. - No $300 creators - No $10K/month agency fees - No products Just drop in a competitor’s ad → pick an avatar → let AI rebuild it in seconds. Want the agent + full workflow? Comment “Nano” and I'll send it for FREE! (must be following)

@boardyai Data-driven beekeeping @BeeSageCo

Pitch me your company in 3 words.

@henrythe9ths FUNDRAISE

I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right team to build this? We tried everything: different pitch angles, new deck structures, and reframing the problem. Then came the 145th meeting, where we closed our first growth round. That yes made everything worth it. But getting there took years of mistakes and hard work. We went through a lot of trial and error just to figure out what resonates with investors. We tried dozens of approaches to figure out what made investors engage. Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper. And once we cracked that code, our Series C closed faster than expected. And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works. So today I want to give you the resource I wish I had back then: Something that shows you exactly how to structure these conversations and navigate the entire process (because the fundraising cycle can be a big distraction and take a toll on you as a founder). So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years. Here's what you are getting: • The actual decks I used to raise $150M for Super[.]com (Series B, C) • 50 real examples from funded startups like Eleven Labs and Artisan AI • A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually) • An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed) Want access? • Like and share this post • Comment "FUNDRAISE" • Follow me so I can DM you the link I'll send it over ASAP. P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.

@_adishj Mosaic! Would love to give this a try.

today, we're launching Mosaic, the agentic video editor. in a world tending towards AI slop, create something real. no waitlist — public beta is now live at mosaic [dot] so. comment "MOSAIC" to get 1,000 free credits dropped into your account. this release comes with 7 key features (thread):

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It’s been quite a ride and we’re barely getting started 🐝📈

Smart Beehive Scales v3 by @BeeSageCo coming out this year so we’re getting there

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My former hometown 😢

@musicinstinct True. I’m not even sure of my own interpretation 😹 it would be hell, I mean heaven, of an episode tho

@RuWikmann So many ways to interpret this

It’s been an eventful year in podcasts. Perhaps this is one we have to wait for a little bit longer…

Goethe ; "Truth must be repeated over and over again ..."

Having spent a significant amount of my time over the last few years managing a company with entities across two countries, it really shouldn’t be this complex. We can do better, Europe. Sign this petition for a unified pan-European startup entity! eu-inc.org 🇪🇺

At the YC Alumni Reunion, I got lots of questions from new founders about how to build a successful company, but realized that they all had the same answer. And it’s this: ————————————————— DO TOO MUCH As a new founder, I’d often look at the CEOs of successful companies and wonder, “How do they do it?” As Scale grows and as I learn on the job, I’ve come to realize that leaders of great organizations never just do it. They overdo it. As a leader, you are the upper bound for how much anyone in your company will care. You need to do more, care more, attempt more than would seem reasonable. It will seem like overkill. But too much is the right amount. This is true in big and small ways. - What people say is overoptimism is just optimism. - What people say is overcommunicating is just communicating. - What people say is overdelivering is just delivering. - What people say is micromanagement is just management. - What people say is ruthless prioritization is just prioritization. Actually living this way will seem crazy, and that’s ok. There is no Apple without Jobs’s “obsessive” attention to detail. There is no SpaceX or Tesla without Elon’s “maniacal” drive for execution. I have never seen ordinary effort lead to extraordinary results. If we had not done too much, Scale would not be the company it is today. When AI really started to take off in 2022 and “generative AI” became a thing, within 6 months Scale shifted the vast majority of our team to working on generating data for scaling LLMs. Most companies would go through quarters of bureaucratic planning cycles and only move after a competitor started eating their lunch. In our case, the change was drastic and abrupt — some might say jarring or extreme. What people might have reasonably described as overreacting was just reacting. And in hindsight, that reaction to developments in AI was what made Scale’s subsequent path possible, including growing 4X over the last year. What we’ve accomplished to date represents the compounded results of everybody embracing the culture of overdoing. Scale will do things incumbent companies wouldn’t, because it’s simply too scary or painful, but others not going to the same lengths is a feature not a bug. Creating something meaningful is a beautiful, and yes, scary and painful thing. And if you’re not overdoing it, you’re underdoing it.

If you want to fix a broken system, you have to pull money OUT, not put more money IN. If you put more money IN, the system interprets it as a reward and uses the money to become even more broken. We get this for businesses. We forget it for nonprofits and governments. 🤔

Yes, please. America usually inspires the rest of the world 🦾🇺🇸

Crazy how the time flies. Joined this platform 15 years ago. Neglected it for the last 10 years. As it’s improved so much lately, I’m ready to become active again #MyXAnniversary

Truth is that which, once you see it, you can’t unsee it.

Don’t make decisions out of fear. Don’t make them out of greed, either.