The new handshake: creators before checks

Venture capital has always been a relationship business. But the relationship used to start with a warm intro, a conference hallway, or a cold email that somehow landed in the right inbox. These days, it might start with an Instagram post.

Lightspeed Venture Partners just made that bet explicit. The firm hired Claire Zau, a seed investor with a serious following on social media, to help it reach founders who don’t move in traditional VC circles. It’s a signal that creator-led venture capital has moved from fringe experiment to mainstream strategy.

Zau isn’t a celebrity. She’s an operator-turned-investor who built her audience by actually explaining how seed deals work — the term sheets, the cap tables, the mistakes. Her followers aren’t just spectators. They’re potential founders, and Lightspeed wants them to think of her — and by extension, the firm — before anyone else.

Why trust is the new due diligence

The logic is straightforward. A founder’s first interaction with a VC firm used to be the pitch. Now, for a growing slice of the startup world, it’s a DM, a comment thread, or a saved post that gets watched three times.

That changes the power dynamic. Founders are doing their own diligence on investors, and they’re doing it publicly. They want to know who they’re dealing with before they give up a chunk of their company. A creator who’s been transparent about the ugly parts of fundraising — the rejections, the bad advice, the deals that fell apart — becomes a trusted voice in a sea of polished marketing.

Lightspeed isn’t alone in seeing this. Andreessen Horowitz acquired Erik Torenberg’s Turpentine podcast network, a move that gave it direct access to a massive audience of founders and operators. OpenAI snapped up TBPN, the tech podcast network behind some of the industry’s most-listened shows. These aren’t vanity acquisitions. They’re distribution plays.

The Turpentine and TBPN pattern

Look closer at those deals. Turpentine produces shows that founders actually listen to — not just for entertainment, but for signal. TBPN does the same on the AI and tech side. When a firm owns the channel, it owns the relationship. It gets to be in the ear of the next generation of founders months or years before a term sheet is ever discussed.

Lightspeed’s hire of Zau is a lighter-touch version of the same playbook. You don’t need to buy a network. You just need the right person who already has the audience’s trust.

What Claire Zau brings to Lightspeed

Zau’s background is a mix of operator and investor. She’s worked in product and growth roles, then moved into seed investing, where she built a reputation for being accessible and direct. Her social presence is less about hype and more about education — breaking down the mechanics of early-stage funding in a way that demystifies the process.

For Lightspeed, that’s the point. The firm has deep pockets and a long track record. What it needs is a bridge to founders who might not have a Stanford email address or a Y Combinator alum in their contacts. Zau is that bridge.

• She reaches founders where they already are — on Instagram, not just in boardrooms.
• She translates VC jargon into something actionable.
• She models the kind of transparency that younger founders expect from investors.

The creator economy comes full circle

There’s a poetic loop here. The creator economy was once the domain of consumer startups — the platforms, the monetization tools, the influencers-turned-entrepreneurs. Now the venture firms themselves are borrowing the playbook. They’re becoming creators, building audiences, and treating content as a core part of their deal flow.

It’s not hard to see why. The cost of acquiring a founder’s attention through traditional channels has gone up. Conferences are expensive, intros are scarce, and every firm is fighting for the same handful of hot deals. Content flips that equation. It compounds. A good post from a year ago is still bringing in inbound interest today.

This also changes what a “warm intro” means. In the old model, you needed a mutual connection. In the new model, a founder who has followed an investor for two years and learned from their content already has a relationship. It’s parasocial, sure. But it’s real enough to get a meeting.

What this means for founders

If you’re raising a seed round, this trend matters more than you might think. The investors who are building in public are the ones who are easier to approach. They’ve already shown you how they think. You can tailor your pitch to their interests, their pet peeves, their investment thesis — because they’ve told you, in public, on the record.

That’s a huge advantage. It levels the playing field for founders who don’t have the “right” network. You don’t need a cold intro if you can write a thoughtful comment on a post and follow up with a sharp email.

But a word of caution: creators aren’t pushovers. Zau and others like her have built their audiences by being discerning. A follower count doesn’t get you a check. It gets you a conversation. The bar for the actual deal is still high.

The risk of the creator-led model

There are downsides, and the smart firms know it. A creator-investor can become a bottleneck if every founder wants a piece of their time. There’s also the risk of style over substance — a firm that looks great on camera but doesn’t have the operational chops to help founders when things get hard.

And there’s a subtler issue: the audience itself. A large following doesn’t mean the right following. A firm that hires a creator with a million followers in the fitness space won’t help its enterprise SaaS deals. The fit has to be genuine, not just performative.

Lightspeed’s bet on Zau looks like a fit. She’s in the seed stage, she’s focused on founder education, and she operates in the same world as the startups the firm wants to back. But the proof will be in the deals — and in whether the founders she reaches actually become Lightspeed’s next big wins.

The bottom line

Creator-led venture capital isn’t a gimmick anymore. It’s a distribution strategy, a trust engine, and a filter for finding founders who don’t fit the old mold. Lightspeed’s move is a clear signal that even the most established firms see the value in having a real person, with a real audience, doing the work of building relationships before the money ever changes hands.

For founders, the takeaway is simple: the investors you follow are watching you too. And the ones who create content are the ones who are easiest to reach. Use that. It’s the closest thing to a warm intro you’ll ever get.

Bluetooth audio on Android is a mess — but not on Samsung

There’s a quiet frustration that every Android user knows too well. You connect your wireless earbuds, hit play on a podcast, and then — bam — a notification ping blasts through your ears. Or worse, Google Maps starts shouting directions over your favorite song.

Most Android phones treat Bluetooth audio as an all-or-nothing deal. Either everything plays through the connected device, or nothing does. It’s binary, rigid, and honestly, kind of lazy for a platform that prides itself on flexibility.

Samsung, though, has been sitting on a fix for years. It’s called Separate App Sound, and it solves this problem more elegantly than anything Google has shipped natively. Let’s break down how it works and why you should be using it.

What exactly is Separate App Sound?

Separate App Sound is a Samsung One UI feature that lets you split audio between two outputs. You can send music from Spotify to your Bluetooth speaker, while navigation prompts, notifications, and calls stay on your phone’s speaker. Or flip it — keep the podcast on your headphones and route alarms to a smart speaker.

It’s not just about silencing pings. The feature lets you assign a specific app to a specific Bluetooth device. So your YouTube app can play through your car’s stereo, while your messaging app chimes through the phone’s speaker. That’s a level of control stock Android simply doesn’t offer.

Why this matters more than you think

Think about your daily commute. You’re listening to a true crime podcast through your car’s Bluetooth. Suddenly, a text message notification screams through the speakers, startling you and missing the key plot twist. With Separate App Sound, that text alert stays on your phone’s speaker — quiet, unobtrusive, and easy to ignore.

Or consider a workout. Your earbuds are playing a high-energy playlist, but you also need to hear your surroundings. Route the music to your earbuds and keep the phone’s speaker free for alerts. It’s a small tweak that makes a big difference in daily usability.

The real-world use cases

• Driving: Keep navigation voice prompts on the car stereo, but let music play only in your earbuds.
• Working: Play background music on a desk speaker while keeping call notifications on your phone.
• Gaming: Route game audio to your headset, but keep Discord or WhatsApp calls on the phone speaker.
• Watching TV: Send a movie’s audio to your soundbar while keeping the phone’s alerts silent.

How to enable Separate App Sound on your Samsung phone

Finding the feature isn’t hard, but it’s buried a bit. Here’s the step-by-step path:

1. Open Settings on your Samsung device.
2. Tap Sounds and vibration.
3. Scroll down and select Separate app sound.
4. Toggle it on. You’ll see a list of apps and audio devices.
5. Select the app you want to route to a different device, then choose which Bluetooth device or speaker should play it.

That’s it. Once set, the chosen app will always play through the selected device, while everything else stays on the default output. You can change the mapping anytime by revisiting the same menu.

Is this better than stock Android’s approach?

Stock Android has no equivalent. There are third-party apps that try to mimic this, but they often require root access or rely on clunky workarounds. Samsung’s implementation is baked into the system, which means it’s reliable, battery-efficient, and works across all apps.

It’s worth noting that Google has been slowly adding audio routing features, but nothing as granular as this. For now, Samsung’s One UI remains the gold standard for Bluetooth audio management on Android.

Which Samsung devices support this?

Separate App Sound has been available since One UI 2.0, which launched with the Galaxy S20 series. That means most Samsung phones from 2020 onward have it. If you’re using a Galaxy A-series, a Galaxy Z Fold, or a Galaxy Tab, you likely have access too.

Just head to Settings > Sounds and vibration and look for the option. If you don’t see it, make sure your device is running a recent version of One UI.

Final thoughts

Samsung’s Separate App Sound is one of those features you don’t know you need until you try it. It’s a small quality-of-life improvement that makes Bluetooth audio feel less chaotic and more intentional. If you’re tired of your headphones blaring every notification, give it a shot.

And if you’re on a non-Samsung phone? Well, you might have to wait for Google to catch up — or consider making the switch.

The Problem: Everyone’s AI Art Looks the Same

Open ChatGPT, type “a coffee cup on a wooden table,” and you’ll get a photo-realistic cup. Ask a friend to do the same, and you’ll get a nearly identical cup. That’s the dirty secret of AI image generators: they pull from the same training data, so they default to the same aesthetic.

It’s a real headache for marketers. You need visuals that match your brand, not some generic stock-style look. But here’s the good news: you can break out of that sameness with a structured approach to prompting.

The trick isn’t just adding more adjectives. It’s building a 7-pillar prompt framework that forces the AI to consider every dimension of your image—from subject to style to technical specs.

Pillar 1: Define the Subject with Specificity

Start with the obvious: what’s in the image? But go deeper than “a coffee cup.” Specify the type, the angle, the context.

• Be concrete: “a matte black ceramic espresso cup on a rustic oak table, top-down view”
• Add context: “with a small brass spoon and scattered coffee beans, soft morning light”
• Remove ambiguity: “no text, no logos, no other objects”

The more you narrow the subject, the less the AI falls back on its default mental image.

Pillar 2: Choose a Style That’s Not “Default”

AI defaults to a generic photographic look—think Instagram filter meets stock photo. To stand out, you must name a specific style.

Try art movements, photography genres, or even film types. “In the style of a 1970s Kodachrome photo,” or “mimicking the brushwork of impressionist painting,” will shift the output dramatically.

Don’t be shy about combining styles. “Minimalist product photography with a surreal twist” gives the AI a richer target than just “minimalist.”

Pillar 3: Control the Color Palette

Color is a brand signal. If your brand uses specific hex codes, you can describe them in the prompt.

Instead of “vibrant colors,” try “palette dominated by deep teal and warm coral, with high contrast.” The AI will respect named colors far better than vague ones.

You can also specify mood via color: “muted pastels for a calm feel” or “neon accents for energy.” This is where your brand guidelines become a prompt asset.

Pillar 4: Set the Lighting and Mood

Lighting changes everything. A product shot in harsh studio light feels different than one in golden-hour sun.

Use terms like “hard shadows,” “soft diffused light,” “backlit,” or “volumetric light through fog.” These aren’t just technical words—they’re creative levers.

Mood is equally powerful. “Moody and dramatic” versus “bright and airy” will give you two completely different images from the same subject.

Pillar 5: Specify Composition and Camera Angle

Don’t leave composition to chance. Tell the AI where the camera is and what’s in the frame.

• “Close-up macro shot”
• “Wide-angle from below, emphasizing height”
• “Over-the-shoulder view”
• “Symmetrical composition with the subject centered”

Even simple instructions like “rule of thirds” make the output feel more intentional. And if you want a specific aspect ratio, say it: “16:9 landscape” or “4:5 vertical for social.”

Pillar 6: Add Detail and Texture

Generic images lack texture. The fix is to describe surfaces and materials explicitly.

“Rough linen fabric,” “polished marble,” “weathered metal”—these words give the AI something to render. Don’t stop at the main subject; describe the background and props too.

One trick: add a phrase like “high detail, sharp focus on the subject, soft bokeh background” to guide depth and clarity.

Pillar 7: Use Reference Images and Multi-Model Tools

Prompts alone can only get you so far. For real brand consistency, you need reference images.

In ChatGPT, you can upload a brand logo or a past campaign image and ask it to generate new visuals in that style. The AI will mimic the composition and color scheme more reliably than any text description.

But don’t stop there. Tools like Magnific let you upscale and reimagine images with more creative control. You can take a rough AI output and refine it, add detail, or change the mood—something ChatGPT alone doesn’t allow as easily.

Putting It All Together: A Sample Prompt

Here’s what a full 7-pillar prompt looks like:

“A matte black ceramic espresso cup on a rustic oak table, top-down view, with a brass spoon and scattered coffee beans. Style: minimalist product photography with a surreal twist. Palette: deep teal and warm coral, high contrast. Lighting: soft diffused light, gentle shadows. Composition: centered, rule of thirds, 16:9 landscape. Details: rough linen napkin, polished marble surface, sharp focus, soft bokeh. No text, no logos.”

That prompt beats “a coffee cup” every single time. It’s not about being wordy—it’s about being specific.

Why This Matters for Your Brand

Generic AI images can actually hurt your brand. They signal “cheap” and “lazy,” even if you spent hours on them. By using this 7-pillar prompt framework, you create visuals that feel intentional and unique—which is exactly what your audience expects.

Start small. Pick one pillar you’ve been ignoring (probably lighting) and apply it to your next batch of images. Then add another. Within a week, you’ll notice your AI art doesn’t look like everyone else’s anymore.

For more on AI image generation for marketers, check out our other guides on brand-specific visual prompts and using reference images in AI tools.