[Lead magnets · Venture capital]

Exemples de lead magnets LinkedIn en venture capital

Des posts réels « commente un mot, reçois la ressource » en venture capital, classés par score de viralité. Mis à jour en direct depuis notre base d'analyse LinkedIn.

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Les 36 meilleurs lead magnets en venture capital

2

Venture capital

Post LinkedIn

Vidéo

Introducing Reforge Build: AI prototyping that starts from your product, not from zero. Try it here: https://reforge.com/build AI app builders are built for founders starting from scratch, not product teams building from an existing product. Using a 0 to 1 tool, for 1 to N work means: ❌ Generic prototypes that miss the mark ❌ Describing your brand colors to AI for the 47th time ❌ Prototyping variant A, then starting completely over to explore variant B ❌ Switching between 5 tools to get from idea to validated feedback ❌ You end up fighting the tool instead of working with it. Reforge Build is fixing this. It’s AI Prototyping built for Product Teams. You can try it here: https://reforge.com/build ➤ Prototypes that look like your product ➤ AI that remembers your customers, feature set, and strategy ➤ Plan mode that structures ideas before generating ➤ Generate multiple variants, not just one output ➤ Built-in collaboration with sharing, commenting, and remixing ➤ Validate with customers w/ AI Interviews and Surveys (coming soon) The difference? AI App Builders Start From Scratch → Build An App → Deploy + Host Reforge Build Start From Your Product → Explore Variants → Collaborate → Validate If you’re a product team not building your first app, stop using tools that assume you are. Other tools are built for starting from scratch. We are building for the reality of product teams. Reforge Build is now available with a free tier (link 👇) Like & Comment “Let’s Build!” and I’ll DM you a free month of premium and additional credits. Hit that repost button, and I’ll DM you two free months.

Like & Comment “Let’s Build!” and I’ll DM you a free month of premium and additional credits.

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5

Venture capital

Post LinkedIn

Image

Most founders waste 𝟲 𝗺𝗼𝗻𝘁𝗵𝘀 chasing investors. The smartest do it in 𝟲 𝗱𝗮𝘆𝘀. And the mistake has nothing to do with your product. It’s your investor list. I just compiled 𝟭,𝟬𝟬𝟬+ 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 into a single system. So founders can stop chasing warm intros. And start building pipeline like enterprise sales. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝗹𝗶𝘀𝘁 𝗶𝘀 𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗿𝗮𝗶𝘀𝗲: You’re pitching: • Series A funds at napkin stage • SaaS investors with DeepTech • Growth capital before traction Not because these are good fits. Because your list is too small to be selective. 𝗪𝗵𝗲𝗻 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝟮𝟬 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀, 𝘆𝗼𝘂 𝗰𝗼𝗺𝗽𝗿𝗼𝗺𝗶𝘀𝗲. 𝗪𝗵𝗲𝗻 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝟭,𝟬𝟬𝟬+, 𝘆𝗼𝘂 𝗳𝗶𝗹𝘁𝗲𝗿 𝗳𝗼𝗿 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻. 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: 1️⃣ 𝟱𝟬+ 𝗡𝗮𝗽𝗸𝗶𝗻 𝗦𝘁𝗮𝗴𝗲 𝗕𝗲𝗹𝗶𝗲𝘃𝗲𝗿𝘀  Boost VC • Pear VC • Hustle Fund • Forum Ventures • Afore Capital (Funds that invest before traction) 2️⃣ 𝟮𝟭 𝗛𝗲𝗮𝘃𝘆 𝗛𝗶𝘁𝘁𝗲𝗿 𝗦𝗲𝗲𝗱 𝗜𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 Partners who backed: DoorDash • Figma • Robinhood • Chime • UiPath 3️⃣ 𝟴 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 (VCs) USA • Europe • Australia • India • Baltics • and more In total: 𝟭,𝟬𝟬𝟬+ 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲𝘀. 𝗪𝗮𝗻𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗹𝗶𝘀𝘁? 👇 Comment "𝟭𝟬𝟬𝟬" below. Like this post. Connect so I can DM it to you. Repost to help others (and get priority) 𝗧𝗵𝗲 𝘁𝗿𝘂𝘁𝗵: Fundraising is pipeline math. 20 investors = hoping 100+ = leverage 𝗧𝗵𝗶𝘀 𝘀𝘆𝘀𝘁𝗲𝗺 𝗴𝗶𝘃𝗲𝘀 𝘆𝗼𝘂 𝟭,𝟬𝟬𝟬+.

👇 Comment "𝟭𝟬𝟬𝟬" below. Like this post. Connect so I can DM it to you. Repost to help others (and get priority)

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15

Venture capital

Post LinkedIn

Carrousel

$42.6 Billion into AI. In Jan 2026 alone But here's what nobody's telling you ↓ This is what we discovered at Global AI Forum In our AI Funding Compass xAI raised $20B : largest AI round ever. Strip that out? The market still moved $22.6B. One company = half the market. That's not a trend. That's a warning. Follow the GPUs, not the hype: NVIDIA backed 13 deals worth $27.2B combined. ↳ xAI ↳ CoreWeave ↳ Databricks ↳ Skild AI ↳ Waabi They're not selling shovels anymore. They're buying the entire gold mine. The real signal hiding in plain sight: $2.7B poured into robotics in January alone. ↳ Skild AI → $1.4B ↳ Waabi → $750M Physical AI just graduated from demo to deployment. The last time capital moved this fast into hardware? 2007. Right before the smartphone explosion. Meanwhile, at the other end: Half of all deals were Seed or Pre-Seed. Average seed? $11.7M. Khosla Ventures, General Catalyst, SV Angel all hunting early. Translation → VCs are placing more bets, earlier, at higher prices. They're terrified of missing the next foundation model. What's dying: Generic AI wrappers. Horizontal platforms. "ChatGPT for X." What's winning: Vertical AI with distribution moats. Infrastructure with NVIDIA on the cap table. Robots that actually ship. Bottom line: The AI market is splitting in two. Mega-rounds for the few. Speed rounds for everyone else. The middle? Gone. Want the full sheet of 473 AI companies who raised in January? Comment "Funding Compass" (like, follow, and share with anyone building in AI)

Want the full sheet of 473 AI companies who raised in January? Comment "Funding Compass"

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18

Venture capital

Post LinkedIn

Image

Most founders still prompt AI for answers. AI-first founders are quietly building AI operating systems to run their startups end-to-end 😳 I built one on top of Claude AI. It’s an actual AI operating layer for a startup. 12 interconnected skills covering the entire founder stack: ↳ 𝗜𝗱𝗲𝗮 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 → Mom Test scripts, GO/PIVOT/KILL criteria, real case studies (Vanta, Flexport) ↳ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗠𝗼𝗱𝗲𝗹 → 55 patterns + LTV/CAC/payback calculators wired into decisions ↳ 𝗙𝘂𝗻𝗱𝗿𝗮𝗶𝘀𝗶𝗻𝗴 → Sequoia/YC 10-slide structure built around how VCs actually decide (cash-on-cash, IRR) ↳ 𝗚𝗧𝗠 → Waitlist → launch → first 100 customers with explicit PLG vs sales-led logic ↳ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁, 𝗦𝗮𝗹𝗲𝘀, 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴, 𝗙𝗶𝗻𝗮𝗻𝗰𝗲, 𝗟𝗲𝗴𝗮𝗹, 𝗢𝗽𝘀 → All referencing each other as one system To test it, I ran a complex fintech idea through it. What came out surprised me because it wasn’t generic AI advice. It looked like an experienced team had worked on it for weeks: → Decision-backed validation memo → Evidence-based pitch deck → Unit economics driving roadmap choices → Board-ready updates → Clear regulatory questions before talking to lawyers This is the biggest shift people are missing today: 99% of founders still use AI like autocomplete. Surface prompts → surface answers. But systems compound. Outputs connect. Decisions improve. When AI becomes your operating system - not your assistant - the minimum viable team shrinks. Of course, this won’t replace co-founders. But AI-first founders who architect AI as an operating system will outcompete those who just prompt. I wrote a full breakdown of the 12-skill Startup Copilot system (with templates & extras). Comment “AI Copilot,” and I’ll send you the link 🤖 P.S. also check out how I Turned Claude Cowork Into My Personal COO that does work while I sleep 🧠: https://lnkd.in/eS6JCk2G

Comment “AI Copilot,” and I’ll send you the link 🤖

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19

Venture capital

Post LinkedIn

Image

Most founders think investors say no because of the idea. They don't. They say no in the first 90 seconds based on pattern recognition. Before you've explained your traction. Before you've shown your model. Before you've made your ask. Here's what they scan for: → Do you sound like founders I've backed before? → Do you reference people I know? → Do you carry yourself like you belong in this room? This isn't about merit. It's about familiarity. Many investors use fast, pattern‑recognition‑based judgments. The founders who don't fit the pattern, who didn't go to the "right" schools, don't have the "right" network, don't speak in VC-fluent jargon, sadly get filtered out before the actual evaluation begins. Sutin (who's been investing for 20+ years) and I (a founder who's been in the trenches) have watched it happen time and time again... The good news: once you understand the game, you can play it differently. You can't change the system overnight. But you can learn to signal competence in ways investors recognise, while staying true to who you are. That's what we're building at The Uprising. A space where underestimated founders can get the playbook that's usually only passed down through "right" networks. If you're raising and feel like you're constantly being underestimated, you're probably not imagining it. We'd love for you to join our community. We've had over 500+ community applications and counting. And we're building deeper support options to help founders play the game. Drop "I'm interested" in the comments below and I'll send you more info 🚀

Drop "I'm interested" in the comments below and I'll send you more info

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21

Venture capital

Post LinkedIn

Image

Comment “VC” and I’ll DM you the subscription link 🔥

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22

Venture capital

Post LinkedIn

Image

Comment "Onboarding" to get evaluated to be introduced to the fund

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25

Venture capital

Post LinkedIn

Image

Link to the report in comments

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27

Venture capital

Post LinkedIn

Image

In the AI era, the only reliable way to get rich (without getting lucky) is to productize yourself. Naval Ravikant said it years ago, and AI just turned it into the default playbook for one-person companies 😳 Most people still misunderstand what this actually means. “Productize yourself” is not motivational advice. It’s a two-variable formula: Specific knowledge × leverage = wealth. Break either one, and the system doesn’t work. Here’s how it actually plays out: 1️⃣ Specific knowledge Not degrees. Not credentials. It’s the unusual intersection of things only you understand. Examples: → The operator who understands fintech + regulation + APIs → The engineer who knows machine learning + supply chains → The analyst who explains complex finance clearly on camera These combinations become personal monopolies. But knowledge alone won’t make you rich. Without leverage, you’re just selling hours. 2️⃣ Leverage Turn that knowledge into something that scales beyond your time. Naval breaks leverage into four types: → Labor - hire people → Capital - deploy money → Code - software that runs while you sleep → Media - content consumed infinitely The last two are the unlock. They scale with near-zero marginal cost. And AI just made both dramatically easier. That’s why the new playbook looks like this: → Find your specific knowledge intersection → Turn it into code or media → Let capital and talent come later Same knowledge. Completely different trajectory. One path sells hours. The other builds assets that compound. So I built something to help people actually apply this. A full framework breakdown + 13 AI prompts that help you: ↳ Identify your specific knowledge edge ↳ Choose the highest-leverage path ↳ Stress-test opportunities through long-term games ↳ Build a 12-month roadmap to productize yourself ↳ Escape competition through authentic positioning These are not motivational exercises. These are actual diagnostics you can run on your career. Because in the AI era, the most valuable startup might not be a company. It might be you. Comment “Productize” and I’ll send you the full guide 🧠

Comment “Productize” and I’ll send you the full guide

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28

Venture capital

Post LinkedIn

Image

The next unicorn will have one employee + AI 🦄 AI-first founders aren’t hiring faster - they’re quietly building AI operating systems to run their startups 😳 I built one on top of Claude. It’s an actual AI OS to run a company end-to-end. 12 interconnected skills covering the entire founder stack: ↳ 𝗜𝗱𝗲𝗮 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 → Mom Test scripts, GO/PIVOT/KILL criteria, real case studies (Vanta, Flexport) ↳ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗠𝗼𝗱𝗲𝗹 → 55 patterns + LTV/CAC/payback calculators wired into decisions ↳ 𝗙𝘂𝗻𝗱𝗿𝗮𝗶𝘀𝗶𝗻𝗴 → Sequoia/YC 10-slide structure built around how VCs actually decide (cash-on-cash, IRR) ↳ 𝗚𝗧𝗠 → Waitlist → launch → first 100 customers with explicit PLG vs sales-led logic ↳ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁, 𝗦𝗮𝗹𝗲𝘀, 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴, 𝗙𝗶𝗻𝗮𝗻𝗰𝗲, 𝗟𝗲𝗴𝗮𝗹, 𝗢𝗽𝘀 → All referencing each other as one system Then I ran a complex fintech idea through it. What came out wasn’t generic AI advice. It looked like a coordinated team had worked on it for weeks: → A decision-backed validation memo → A coherent pitch deck grounded in real evidence → Unit economics driving roadmap choices → Board-ready updates → Clear regulatory questions before talking to lawyers This is the shift people are missing: Most founders still use AI like autocomplete. Surface prompts → surface answers. But architecture compounds. When AI becomes your operating system - not your assistant - the minimum viable team shrinks. This won’t replace co-founders. But AI-first founders who architect AI as an operating system will outcompete those who just prompt. I wrote a full breakdown of the 12-skill Startup Copilot system (with templates & extras). Comment “Startup Copilot,” and I’ll send you the link 🤖 P.S. also check out how to Turn Claude From a Chatbot Into a Thinking Partner 🧠: https://lnkd.in/eDGHRw94

Comment “Startup Copilot,” and I’ll send you the link 🤖

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29

Venture capital

Post LinkedIn

Image

Comment “INVESTOR” and I’ll send you the link 👇

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32

Venture capital

Post LinkedIn

Image

He exited his company for $120M. And paid $0 in taxes. That’s exactly what Roblox CEO David Baszucki did when the company went public. Not because of a loophole. But because of a legal provision in the tax code most founders don’t fully understand. It’s called QSBS (Qualified Small Business Stock). Under the right conditions, QSBS allows founders to exclude up to 100% of capital gains taxes on the sale of their company. In practical terms: - A $10M exit could mean $10M kept — instead of ~$7M after taxes. - A $50M exit could mean $50M kept — instead of ~$35M. The difference can be life-changing. But here’s what most founders don’t realize: QSBS isn’t something you decide at exit. It’s determined by how your company is structured years earlier — often starting from day one. Many founders unknowingly disqualify themselves long before an exit is even on the table. And historically, implementing these structures required specialized attorneys and $50k–$100k+ in legal fees. That’s starting to change. Alessandro and the team at GetDynasty.com have spent years automating the process and becoming a licensed Nevada trust company to make these structures accessible to founders — at a fraction of the traditional cost. They’ve created a comprehensive guide breaking down exactly how QSBS stacking works. It’s one of the clearest breakdowns I’ve seen of how it actually works. If you’re a founder, operator, or investor, it’s worth understanding early. Comment “QSBS” and I’ll send it over.

Comment “QSBS” and I’ll send it over.

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36

Venture capital

Post LinkedIn

Image

10 VCs actively writing ₹2Cr to ₹20CR+ cheques in India right now. Stop scrolling. Check down the list below: → Venture Highway – Early-stage investor backing technology-led startups across AI, healthcare, manufacturing, and emerging tech with cheque sizes ranging from $200K–$2.5M across Pre-Seed to Series A. → PeerCapital – Early-stage VC investing $200K–$800K in Pre-Seed and Seed startups focused on fintech, enterprise software, and consumer technology. → GEMBA Ventures– A Pre-Seed focused VC investing $200K–$250K in fintech, consumer tech, and B2B services startups. → Whiteboard Capital – Early-stage fund investing $120K–$250K in Pre-Seed to Pre-Series startups across technology, fintech, marketplaces, SaaS, and consumer brands. → Shastra VC – Early-stage venture capital firm investing $200K–$3M in deeptech, AI, SaaS, cleantech, and consumer brands from Pre-Seed to Pre-Series. → 247VC – Seed-stage VC investing $200K–$500K in consumer brands, deeptech, and enterprise software startups. → Anicut Capital – Growth-oriented investment firm deploying $200K–$12M across Seed to Series B startups across diverse sectors. → Axilor Ventures – Early-stage VC and accelerator investing $200K–$1M in Pre-Seed and Seed startups across SaaS, fintech, healthtech, agritech, logistics, and consumer tech. → Sadev Ventures (Formerly Eternal Capital) Ventures – Early-stage investor deploying $200K–$800K across Pre-Seed to Pre-Series startups in consumer brands, consumer tech, SaaS, and general technology sectors. → z21 Ventures – Early-stage venture fund investing $200K–$1M from Pre-Seed to Series A in SaaS, enterprise applications, and consumer technology startups. If you want to accelerate your fundraising and reach out with these VC firms in less than 2 minutes, Comment “Growth” and I’ll share our platform to automate the outreach and maintain a CRM for you.

Comment “Growth” and I’ll share our platform to automate the outreach and maintain a CRM for you.

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