Priyanka Gosai

I have built in India and Singapore. India has very strong talent density and is particularly good for consumer-focused businesses. D2C, logistics, and services tied to physical operations scale very well there because of cost efficiency, market size, and execution speed. Singapore is strong for FinTech and regulated businesses due to access to capital, regulatory clarity, and regional customer...

From a PM lens, AI has been most valuable in execution-heavy work. I use it extensively for writing product specs, breaking them into user stories, and generating test cases, and it takes roughly one-fifth of the time compared to doing this manually. It helps me move faster from intent to structured output without compromising clarity. As a founder, we also use AI to automate operational...

@jake_friedberg At TinyCommand, we keep fixed, tiered SaaS pricing, but each plan comes with a credit-based system that internally accounts for compute and token usage. What this enables in practice: If a user primarily uses non-AI features, their credits last significantly longer. If a user heavily uses AI-powered steps, agents, or transformations, credits are consumed faster because real...

@matt_rewo We generally prefer live demos because they let us tailor the walkthrough to a specific use case and show how the product is actually used in practice. When a demo resonates, we turn it into a short video and share it so others with a similar problem can learn from it as well. To communicate long term value, we focus on concrete outcomes such as reduced management effort or...

One thing I would add from experience is to make sure you reach out to your existing customers at least three to four weeks before launch. These are the people who already understand the product and the problem it solves. Ask them to create a Product Hunt account ahead of time if they do not already have one. When launch day comes, they are far more likely to vouch for the product, leave...

@lightfield Thats a very relevant question. We’ve been debating this internally at TinyCommand as well, especially since we have got requests for language-specific settings from users in different regions. The way I currently look at it is this: adding another language isn’t just a product switch, it’s a go-to-market decision. Without a clear plan for distribution, support, onboarding, and...

@pradeepmalakar This is spot on, especially from a marketing perspective. When a launch misses, it’s rarely a feature gap. More often, it’s a clarity gap. The message didn’t land, the value wasn’t obvious, or the audience wasn’t sharply defined. Before changing the product, fix the narrative. Tighten the positioning, simplify the story, and make the problem you solve immediately clear. Most...

@lenaavramenko Strong list. I agree with most of it, especially the move away from prompt to app. By 2026, structure really becomes the product. The tools that win will force clarity upfront around scope, data, and edge cases instead of just generating code faster. One thing I’d add is the shift from plan to simulate to build. Tools that can dry run workflows and show where things break before...

@lenaavramenko Strong list. I agree with most of it, especially the move away from prompt to app. By 2026, structure really becomes the product. The tools that win will force clarity upfront around scope, data, and edge cases instead of just generating code faster. One thing I’d add is the shift from plan to simulate to build. Tools that can dry run workflows and show where things break before...

We’ve always had paid interns for a simple reason. We don’t hire interns unless we genuinely believe they can add value. And in the few cases where that hasn’t worked out, we’ve had an honest conversation early and asked them to move on. Not because they weren’t capable, but because it’s better for everyone. They get the chance to find work they actually enjoy and can contribute to, and we...

Love this question, Nika it’s something I’ve been thinking about a lot lately. For me, most of my “brand building” happens in the in-between moments replying to conversations, sharing small lessons, or documenting what I’m learning as a founder. I try to cap it at 1-1.5 hours a day, mostly on LinkedIn and Product Hunt, so it doesn’t eat into product work. What’s helped the most is treating it...

These look incredible 🔥 I’m honestly surprised at how clean and context-aware the outputs are. I’ve mostly used Nano Banana Pro for quick product explainer memes curious, how well does it handle more niche or technical prompts in your experience?

Love this question, Sakshi. For us, the landing page itself isn’t the slow part, it’s aligning on the story. Once the narrative and positioning are clear, shipping takes a day or two. When they’re not, it drags. So the real bottleneck is usually clarity, not design or dev.

Love this question, Alex it’s the part no one really talks about enough. For us, the earliest traction didn’t come from an audience at all. It came from conversations reaching out to people who were already feeling the pain we were solving, jumping on quick calls, and showing tiny versions of the product. No big strategy, just being present where the problems were. Cold outreach worked only...

This is such a relevant question, I’ve been wrestling with the same thing lately. AI coding agents definitely make it feel like writing the workflow directly is faster than stitching blocks visually. But what I’ve noticed is that the real gap isn’t “code vs no-code”… it’s who’s building and who’s maintaining. For engineers, AI-assisted code feels natural and flexible. But for cross-functional...

Congrats on the launch, Ansh! Really like how you made voice AI setup this simple, most tools still expect people to deal with APIs and technical steps. One thing I’m curious about: how does Klariqo respond when a caller suddenly changes the topic or asks something unexpected?

Congrats on the launch! this is such a real pain-point for dev teams. The SDK-first angle is especially interesting :) One thing I’m curious about: when an API changes, how does Swytchcode keep everything in sync?

That’s such a timely question, I’ve been seeing more brands quietly experiment with AI influencers, especially in fashion and gaming. The tricky part isn’t creating the avatar, it’s sustaining a believable personality arc over time. From what I’ve seen, audiences still crave some trace of human unpredictability. I’m curious, do you think AI influencers will ever build trust the way human...