Sales R&D Strategy @ hypefy.ai | AI implementation for SMEs @ whatishappen.ing

Joined January 2016
recent update to claude on ios with permissions to calendar and reminders was the start of what I expected siri to be
this is the best advice for getting a job. being recommended/recruited is the first, where the biggest variable you can use is to work ad ambitious companies
Replying to @GabrielPeterss4
companies literally just wanna know if you are good at what they need. if you can explain this in a simple and concrete way, hiring you vs some perfect grade university student is a no brainer. you'll be the less risky option
Kristina Macekovic retweeted
I created my LinkedIn 43 weeks ago. Since then I’ve added $80,000 to my agency pipeline, driven 5 figures this month for SEO Stuff, built 7,600+ connections and logged 1,849,116 impressions. Here’s my full system. Steal it before they close the loopholes. And if you want an even more in-depth cheat sheet with engagement group templates, carousel strategy, and DM workflows: Follow me Repost this Comment “X LinkedIn growth guide” You must do all 3 to get the DM. Alright, let's start at the top. Here's what is working best as of right now: Proof + POV posts are killing it right now. Basically numbers plus your perspective. Screenshots, dashboards, Stripe, LemonSqueezy, or client receipts paired with your analysis outperform every other format. Story-driven authority stuff is also doing great. Think personal lessons and client stories (even small ones). Real voice and context stand out in an AI-saturated feed. Also comment-first growth is super effective right now. Thoughtful comments are the fastest visibility engine. 15–20 high-value comments daily can rival posting. The best comments add examples or mini-frameworks, not just agreement. Conversation depth is also key at the moment. LinkedIn is prioritizing posts where comments turn into discussions. Ask real questions, reply with substance, and encourage commenters to engage with each other. Audience overlap matters a lot too. Consistent visibility across 2–3 adjacent niches multiplies reach. Build circles of overlap instead of posting scattershot. My posting routine: I post 3 times per day, 7 days per week. Pausing even 36–48 hours cuts impressions in half. This happened to me two weeks ago when I was traveling. Pretty frustrating. Morning: Text post with POV, story, or observation Afternoon: Carousel, proof post, or annotated screenshot Evening: Mini-thread, framework, or quick win Formats performing now: Carousels Slide 1 = bold headline tied to a pain point or result Middle = 3–5 slides of steps, bullets, or annotated visuals Final = CTA (“Drop guide below if you want the SOP”) Carousels mixing text + visuals outperform plain-text slides by 30–40%. Short videos Under 60 seconds, hook in the first 3 seconds Subtitles matter (auto-preview drives clicks) Quick demos and walkthroughs beat polished storytelling Text posts Hook = question, claim, or contrarian take 1–2 lines per paragraph for scannability 3–5 bullet takeaways > text walls End with a question that triggers replies Proof breakdowns Share a metric or win Break it down in 3–4 bullets Turns results into mini case studies Conversation-driven posts Open loops, thought experiments, or contrarian POVs designed to spark multi-layer discussions What’s flopping right now: AI filler with no voice Metrics with no explanation Walls of text with no whitespace External links in the body (especially without changing the preview image) Timing sweet spots: 7–8 AM for text-heavy or thought leadership posts 1–3 PM for maximum impressions Sunday evening for outsized visibility with less competition Tuesday and Thursday for CTAs or lead-gen Engagement strategy: Comment on 20+ posts daily with depth and context Like 50+ posts/day, focusing on active commenters in your vertical Reply to every comment within the first hour to trigger velocity Repost your best performers every 5–7 days with a new hook DM 5–10 people daily with personalized value tied to their posts Right now LinkedIn is boosting repeat engagement and threaded comments. If the same people return to comment again or if your post sparks layered replies, reach extends 2–3x longer. Hooks converting at the moment: “I started this account 43 weeks ago. Here’s the exact revenue it has generated.” “$10K this month from LinkedIn posts. Here’s the breakdown.” “This 7-slide carousel booked 3 calls in 24 hours. Slide 1 below.” “If I had to restart on LinkedIn in 2025, here’s the playbook I’d use.” “The 3-post-per-day system I use to consistently generate inbound leads.” Always back hooks with proof. Screenshots, receipts, or client wins outperform text-only claims every time. 30-day LinkedIn growth checklist: Post 3x/day Comment on 20+ posts/day with substance Like 50+ posts/day Reply to every comment in the first hour Repost top performers weekly DM 5–10 people/day with context-first value Track impressions, replies, leads, and comment depth weekly LinkedIn is still the most underpriced attention engine in 2025. Run this playbook for 30 days. Screenshot your Day 31 results. Tag me when the inbound starts. And if you want my cheat sheet with engagement group templates, carousel strategy, and DM workflows: Follow me Repost this Comment “X LinkedIn growth guide” You must do all 3 for the DM.
8/8 My take: Unlike most AI workflows, meeting transcription is easy to implement and gets immediate results. Automating notes helps you stay present instead of worrying about forgetting something. Any tips, what and how do you use it?
7/8 Real usage: Our sales reps record all meetings with Fathom, analyze performance, then add insights to CRM for better prospect follow-ups. I ask my AI assistant what we discussed, what I promised, and how I showed up.
6/8 @MicrosoftTeams works if you're already there. Part of M365 subscription anyway, but you need to pay for an add on for AI summaries to compliment the functionality in standalone tools More complex but handles enterprise needs €21/month gets you the whole office suite
5/8 @NotionHQ integration is seamless. Type /meet, start transcribing Everything lives where I already have my notes etc Great for searching across all company meetings €19.50/month but includes everything else
4/8 @meetgranola wins on simplicity. Downloaded, signed in with Google, done Works offline too Clean interface doesn't feel overwhelming Also €12/month (team plan)
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3/8 fathom.video surprised me most. Handles accents and mixed languages perfectly Correctly assigns action items to the right people The bot joining calls felt less awkward than expected €12/month (team plan)
2/8 Testing setup: 100+ real meetings (sales, hiring, planning) Sometimes ran multiple tools simultaneously Mixed languages, various accents Meetings range from 15 mins to 2+ hours
1/8 Context: I take 3-4 meetings daily (up to 12 on hiring days). Used to be the designated note taker, but got tired of scribbling while trying to actually listen.
🧵 Tested 4 AI meeting tools for a few months. Here's what I found:
latest MIT report says 95% of GenAI projects in businesses don't get any return. The secret as with all business projects continues to be: find your pain point, and start from there. don't implement technology for the fun of it keep it simple: use existing technology and partner up. there are few companies that have the scale that custom makes sense for them start today, and start small. have folders and folders of customer feedback or other materials you need to synthesize? Dump it into an LLM and get insights you can act on in 30 minutes or less.
recently had a high priority issue with my @zapier plan that brought my daily ops to a halt. the cause was something more advanced but sth that I predicted could happen but postponed on doing. the zapier support team was the most helpful and prompt one I ever encountered, even supporting me by bridging the month with extra tasks to keep me going. kudos team!
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Key Stuff to Remember - **Preparation & relevance are everything.** People engage more when solving their own challenges. - **Simplicity wins.** Limit options so teams focus on building. - **Start small, iterate.** Don’t aim for advanced AI use cases from day one. - **Energy is contagious.** Celebrate every step, and the momentum will last.
Step 4: Celebrate Results & Next Steps **a. Showcase solutions** - Demo prototypes: celebrate all efforts, not just “finished” ones. - Highlight standout projects (e.g., customer support GPTs, video analytics, smart reply for sales, etc.). - create categories and hand out prizes to teams! **b. Sustain the momentum** - Encourage follow-up: let teams continue developing ideas after the event. - Share wins and progress company-wide in the following week; include the best ideas into the product/internal roadmap.
Step 3: Event Execution **a. Team setup** - Organize ahead of time, mapping potential topics and teams. Team composition depends on participant numbers, expertise, and available advisors. While some may work solo, most prefer teamwork. Group related ideas into themes, pre-assign teams to topics, but remain flexible for day-of adjustments. - Mix cross-functional teams (remote & in-person)—encourage collaboration. - Assign each team a relevant challenge to solve, ideally one they suggested or fit their interests (sometimes teams are eager to solve other teams problems because they impact them!) **b. Support & energy** - Encourage mutual help and open communication among teams. - Set up quick check-ins. **c. Handle blockers** - Prioritize hackathon tasks—treat fires as exceptions, not the norm. **d. IMPORTANT: assign advisors** - one of the most important things is to designate 0.5-2 technical advisors per team. these participants should be a few steps ahead in the adoption compared to the team, so they can help them execute on the ideas. the advisors could come from the engineering team, but it does not need to be that way exclusively; early adopters and enthusiast are great too.