Parth Ahir

Great question — I think we’re entering the era where media buyers evolve from executors to strategic overseers. AI can handle the heavy lifting, but knowing what to test, why something’s underperforming, or how to tell a resonant story still needs a human lens. That said… I’d happily let AI take over spreadsheet wrangling and audience segmentation any day.

Love how fast you’re shipping based on user feedback. Syntax highlighting might seem small, but it makes a huge difference in readability and polish. Excited to see what’s next for Chyrid – feels like you’re building with real care.

We launched straight on PH and it was 100% worth it. Real users, authentic feedback, and momentum right out of the gate. The key is to treat it like a full launch — not a teaser. If your product is ready for real-world use, PH can be the spark that kicks things off.

Primeforge looks solid — solving real pain around email infrastructure complexity and cost. Automating DNS and streamlining multi-ESP setups is a smart move, especially for teams scaling cold outreach. Curious how easy it’ll be to integrate with existing platforms and manage at scale. GIF headshots sound like a fun touch too. Looking forward to MS365 support!

Lookverse is doing something fresh by turning shopping into a vibe-based experience — finally, fashion discovery that feels personal. I’m building Kalyxa, which also uses AI to make styling and wardrobe choices easy, but with a focus on daily outfit planning and real stylists. Would love to see how Lookverse’s mood-based approach evolves alongside tools like ours! Both show how AI can finally...

We debated this hard. Went without a waitlist and instead launched a public beta + a Notion roadmap people could vote on. Result: → Faster feedback loops → Less pressure to “perfect” before shipping → Still got word-of-mouth because we shipped weekly and showcased real user stories Would I use a waitlist in the future? Maybe — but only if I had a strong community strategy baked in.

One thing we’ve found helpful: make your beta exit criteria not just technical, but emotional. We ask: → Have users stopped reporting bugs and started inviting friends? → Do we hear “this is useful” or “I can’t live without this”? → Are power users hacking the product in creative ways? Quant tells you when it’s safe to launch. Qual tells you when it’s time.

Built a private internal tool for stylists that used AI to auto-generate lookbooks from a user’s travel itinerary. Stylists loved it. Still not public because we’re refining the backend — but it’s the thing that convinced me Kalyxa could be huge.

It’s a great sign—but I still prefer paranoia over euphoria at this stage. Ship fast. Talk to users. That’s the real validation.

For me, it comes down to transparency + tone. Show me why you're saying something (citations, reasoning steps), and speak like a calm expert—not a hype machine. That’s when I trust.

Atmosphere isn't about perks. It's about psychological safety. People need to feel like they can speak up, fail, and still be respected. That creates creativity. That builds loyalty.

Biggest frustration? Silence. You build something you know delivers value, but users vanish before hitting that "aha" moment. By the time you're aware they’re gone, the window’s closed.

We got our first paying customer because someone mentioned us in a random Twitch stream chat. Never even figured out who said it. Eternal shoutout to the anonymous legend.

Congrats on the launch. I like the minimalism.

Really cool! I like how Cartwheel makes character animations feel smooth and expressive. Excited to see what other AI video features you add next!

Great write-up, Holden. Love the ‘skip soft launches if you have conviction’ bit — bold, but it tracks in today’s feedback-speed world. Also agree CDPs are overkill unless you’re running multi-headed monsters. Lean stack + deep understanding of early retention = unfair advantage. Would love a deeper dive on what kind of creative iterations are working best for organic lift right now.

Bring back the weird. We lost soul chasing minimalism. Those translucent purples and quirky forms weren’t just aesthetics — they made tech feel alive. Today’s devices all look like they’re afraid to be noticed. Maybe it’s time to let hardware have a personality again.

Totally agree — feature bloat kills usability. We’ve started thinking of new features as liabilities unless they solve a clear pain point users already feel. Every added feature adds complexity, support burden, and onboarding friction. Simplicity scales. Depth > breadth.

Great observation. I think part of it is that AI feels like a mirror, not a judge. People open up because it listens without ego, memory, or bias — something even close friends struggle to do. But you're right, we trade vulnerability for convenience, and that trust is fragile. The question isn’t just can we trust AI — it’s who we’re really trusting behind the scenes.