Jay Levy - Zelkova Ventures

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Jay Levy - Zelkova Ventures

Jay Levy - Zelkova Ventures

@ZelkovaVC

Jay Levy, Early Stage VC, Lover of SaaS and Charts & Graphs

Miami, FL Katılım Eylül 2008
9.8K Takip Edilen14.7K Takipçiler
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Jay Levy - Zelkova Ventures
Jay Levy - Zelkova Ventures@ZelkovaVC·
Exciting news! Zelkova Ventures has acquired a majority stake in Onboard Software @onboardio , a game-changing SaaS platform transforming client onboarding with AI. Onboard your clients smarter, faster, and better. With Onboard's platform, your onboarding workflow becomes seamless, efficient, and custom-tailored to your needs. 🔹 Automate onboarding processes 🔹 Boost team collaboration and visibility 🔹 Deliver faster, better client experiences 🔹 Reduce churn Meet the team powering Onboard's vision 💡 👨💼 Michael Herzig - CEO 👨💼 Jason Rozenblat - CRO 👨💻 Matt Majewski - CTO 👨💼 Jay Levy - Board Member We’re scaling Onboard’s innovation to new heights! Stay tuned for updates 👉 onboard.io #SaaS #AI #ClientOnboarding
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@jason
@jason@Jason·
1. No one cares about this ultra woke, biased version of @WIRED 2. And even fewer people care about the NYT’s take on WIRED FOUNDERS: DON’T ENGAGE WITH THE MEDIA — GO DIRECT.
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Jay Levy - Zelkova Ventures
Jay Levy - Zelkova Ventures@ZelkovaVC·
Love that @Delta pulled special perks to congress until they get this shutdown done! More of a reason that im loyal to them!
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Alex Vacca
Alex Vacca@itsalexvacca·
We built 12 Claude Skill files that run our entire GTM operation inside Clay (and I'm giving it all away) Prompts give you generic output. These skill files on the other hand are built from hundreds of Clay tables across 80+ B2B clients at $7M ARR. Each one does a specific job: → Company Research Agent → Personalization Writer → ICP Scorer → LinkedIn Profile Analyzer → Data Cleaner & Normalizer → Objection Handler → Email Sequence Writer → Competitor Analyzer → Job Posting Analyzer → Technographic Qualifier → News & Signal Synthesizer → Account Brief Generator How it works: drop it into Clay → map your columns → run. No prompt engineering. No switching tools. Just output. Giving the full pack away free. Reply "SKILLS" and I'll send it.
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Jay Levy - Zelkova Ventures
Jay Levy - Zelkova Ventures@ZelkovaVC·
Has anyone attended @B2BMX? Trying to figure out if its a good event for early stage SaaS companies to learn GTM strategies. If not that event what would be good?
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Logan Gott
Logan Gott@LoganTGott·
I automated my LinkedIn client acquisition. Now I close qualified calls every month on autopilot. Most B2B founders struggle with LinkedIn because they're missing the system. They post randomly. Their DMs get ignored. Their lead magnets flop. I spent 18+ months perfecting a framework that solves this: → Targeting filters that identify decision-makers with budget → A system to extract exact pain points your ICP faces → Content creation using their language → Lead magnet strategy to identify leads → DM sequences with follow-ups that actually close deals → Lead list building that generates 100+ qualified connections weekly This is the exact system I use to book calls without cold calling, paid ads, or spammy outreach. One client used this to generate 100+ leads in 30 days. I've packaged the entire framework into a complete training. 1- Follow me 2- Comment "SYSTEM" and I'll send it over. (Must be following for me to DM you)
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Jay Levy - Zelkova Ventures retweetledi
Romàn
Romàn@romanbuildsaas·
Claude Cowork just KILLED manual outreach. 💀 I used to grind for hours on LinkedIn. Now? My AI stack does it better. ❌ No "Hey {{first_name}}" spam ✅ Natural, multi-step conversations ✅ 12+ hours saved this week The result: 500+ conversations with human-level reply rates. I packaged the entire system (prompts + workflow) into a FREE doc. Want it? Repost ♻️ (so others see it) Comment "CLAUDE" & I'll DM you.
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Alex Groberman
Alex Groberman@alexgroberman·
A recent study broke down *exactly* how ChatGPT, Perplexity and Google AI Overviews actually choose which brands to mention. The findings were surprisingly simple. They also quite clearly validated the approach SEO Stuff (seo-stuff.com) has been taking with customers all year long. Before we get into the details, if you want a few "unconfirmed" cheat codes for getting your brand mentioned by ChatGPT in 30 days or less, just follow me + RT this + reply with "AI SEO" and I'll DM you. You must do all 3 for the DM. Alright, let's get into it. So a recent Semrush study broke down a key method to getting your brand visible within ChatGPT, Perplexity, Google AI Overviews and so forth. They called this process LLM Seeding. And once you understand it, you will realize why some companies get mentioned constantly while others remain invisible. First, here is what the study confirmed. AI systems do not retrieve and rank pages the same way Google does. Sure, there is definitely overlap. But there are some key differences. AI systems read: Your site Comparison articles Third-party publishers Reddit Wikipedia YouTube transcripts Review platforms Industry forums Creator content Partner sites Customer testimonials Then they synthesize all of it into a single answer. Why does this matter One source will not get you cited. Three to five structured sources that say similar things about your brand will. This is the core mechanic behind LLM Seeding. Here is how the article breaks it down. 1. AI needs structured, parseable content. LLMs extract information from headings, bullet patterns, FAQ structures, tables and clear question driven H2s. They struggle with long narrative paragraphs or marketing heavy landing pages. Semrush found that the fastest way to earn citations was: Clear H2s phrased as questions 2 to 3 sentence answers FAQ blocks written in natural question language Comparison tables Straight explanations without creative BS Consistent entity naming across pages This is exactly why SEO Stuff (seo-stuff.com) content looks the way it does. Extraction is the priority. 2. AI needs context about who you serve and what problems you solve. Pages that simply say “AI powered SEO toolkit” performed worse than pages that say: Who the product is for The exact problem it solves Specific use cases Benefits tied to buyer intent queries Context lets AI match your brand to specific prompts. 3. AI needs repetition across multiple external sources. One landing page is not enough. AI systems trust distributed validation. Semrush seeded their product across: Backlinko Affiliate sites Partner blogs Creator content YouTube walkthroughs Reddit threads Industry news Customer reviews on G2 This created consistent, repeated language across the web, which LLMs recognized as a pattern. This repetition increased Semrush’s AI share of voice from 13 percent to 32 percent in one month. 4. AI trusts third-party sources more than your own claims. Internal pages matter because they define the core entity. But external mentions matter more because they provide distributed confirmation. The study showed that: Community sites like Reddit Review platforms like G2 Video transcripts Comparison articles are cited more than the brand’s own marketing pages. 5. Publishing is not enough. Distribution and reinforcement are mandatory. SEM content Partner content Creator content Affiliate content Customer reviews Forum participation Social presence Updated canonical pages LLM Seeding is not a blog post, but rather a distribution system. 6. Ranking well in Google helps, but it is not a guarantee. Nearly 90 percent of ChatGPT citations in Semrush’s study came from URLs ranked outside the top 20 in Google. That means authority, clarity, structure, and repetition matter far more than raw ranking position. This is the part where traditional SEO breaks down and where AI visibility begins. Now let’s tie this directly to SEO Stuff (seo-stuff.com) because the alignment is exact. Here is how each package maps on top of the LLM Seeding framework. The Gold Plan seo-stuff.com/gold-plan-pack… Semrush emphasized that you need structured, cite-ready content on your own domain. Gold Plan provides exactly that. 10 long-form articles built with the same structure LLMs prefer: Question driven H2s Two to three sentence answers Comparison sections TLDR summaries Clear HTML Internal linking Entity consistency Schema on product and FAQ pages Plus: 3 DR50 backlinks that help shift you out of that low-authority zone models tend to ignore. This covers the publishing and foundational authority side of LLM Seeding. The Premium Content Bundle seo-stuff.com/premium-conten… LLM Seeding requires scale. You need enough content to define your category. That is what 60 comparison driven articles provide. Long form Structured Repeatable patterns Across your entire product or service map This creates a full category-level training set. AI cannot understand your brand or your space without this depth. The Premium Backlink Bundle seo-stuff.com/premium-backli… External validation is a mandatory part of LLM Seeding. 3 DR50 backlinks from real business domains do three things: Strengthen entity recognition Distribute your brand across trusted surfaces Clear the “authority bar” that gets you cited more frequently Combined with the content bundles, this completes the distribution phase. The study makes the bigger picture unmistakable. AI citations come from structured clarity, contextual relevance, repeated external mentions, and distributed authority signals. Google rankings alone do not produce this. One landing page alone does not produce this. Creative storytelling alone does not produce this. LLM Seeding produces this. SEO Stuff (seo-stuff.com) was built for it long before the industry had a term for it. If you want cheat codes for how to get your brand mentioned inside ChatGPT in the next 30 days, RT this, follow me, and reply “AI SEO.” You must do all 3 for the DM.
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Richard Janezic
Richard Janezic@rjanezic·
Superior onboarding is a superpower. Onboarding for: -new hires -M&A acquired team members -partners -customers It’s key to superior performance and reducing churn and culture issues
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Jay Levy - Zelkova Ventures
@travisk Need a live link from my camera to XG to be able to see in real time the impact of checker / cube play and explanations of why it’s right.
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travis kalanick
travis kalanick@travisk·
backgammon nerd sidequest alert: I bought eXtremeGammon the preeminent backgammon engine & looking for right "re-founding" CEO discrete mathematics, neural nets, game theory, heavy UX, social, gambling, all the good stuff.. ANY TIPS? - bit.ly/4iA61jU
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Jay Levy - Zelkova Ventures
@travisk Let's get a tech bg meetup / group in the works. I play relatively competitively and have a bunch of ideas for XG and integration of language models. I export all my XG files to txt files and put them into ChatGPT!
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Jay Levy - Zelkova Ventures
Loveable, v0, Replit etc is today's Sim City for those of us born in the 80's!
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@jason
@jason@Jason·
1. What are you working on this weekend? 2. What are you doing to relax or have fun? [ you can promote stuff you’re working on ]
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Jay Levy - Zelkova Ventures
Jay Levy - Zelkova Ventures@ZelkovaVC·
One of our companies is currently using @chargebee and they are looking for other options for recurring subscritions and one off invoices. Any reccomendations?
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Jay Levy - Zelkova Ventures
@jasonlk We just acquired a saas company. our first step was to talk to every customer and learn how they are using the platform and how we could improve. We saved 2 significant customers from churning in the first week of doing these calls.
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Jason ✨👾SaaStr.Ai✨ Lemkin
The pizza parlor picks up the phone for a $19 pie The hair salon picks up the phone for a $49 haircut But most sales reps won't pick up an inbound call for a $5,000 deal, or even call them back the same day One of The Great "Mysteries" of SaaS
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