Prithvi Damera

This update fills a real gap. The new session history feature makes these agents feel far more dependable for returning users. It keeps the thread of earlier work intact and removes the frustration of starting over after every refresh. The walkthrough explains the setup in a clear, practical way, and it is helpful to see it applied in a live build. This is a solid step toward making AI tools...

I’ve found smaller communities far more rewarding to grow in, especially when the goal is depth of engagement rather than visibility. Conversations tend to mature faster, and feedback actually shapes what you build. The big platforms are still useful for reach, but they often dilute intent. For me, a smaller space becomes worth it when people show up with curiosity instead of performance.

Really interesting question, Kushagra. We’ve started noticing indirect traffic that likely originates from LLM mentions, usually showing up as “direct” or “unattributed” in analytics. Users mention finding us “through ChatGPT” during onboarding calls, which confirms some conversion path exists, even if it’s not traceable through normal UTM tracking. I think as LLMs mature into “search +...

That’s spot on, Tuneer. The “featured” tab feels less predictable now, and I’ve noticed the same pattern with design sameness and pricing models. The lack of transparency makes it tough for smaller teams who genuinely ship something new but don’t fit the current “meta.” I wonder if Product Hunt is quietly prioritizing novelty in utility or category diversity over reputation and polish now.

Brilliant concept and execution! Solving the “re-explaining context” problem across AI tools is a real productivity breakthrough. The cross-platform memory layer is a game-changer for anyone juggling multiple AI assistants daily.

Impressive update! The custom storefront feature and AI assistant make it a complete solution for small sellers looking to scale without tech headaches.

This post captures the real grind behind entrepreneurship. The honesty about failure and learning from it is rare and refreshing. “Start with the problem” really sums it all up. Thanks for sharing this, valuable insight for every founder trying to build something meaningful.

Honestly, Adobe feels like that old friend finally showing up to the party — stylish, but a little late. 😅 They’re still a powerhouse for professionals, but innovation-wise, tools like CapCut, Descript, and Runway have been moving faster, especially for creators who want quick, social-ready edits. That said, this YouTube Shorts integration might be Adobe’s smartest comeback move — tapping into...

For us at Growstack, it’s definitely LinkedIn + Product Hunt. LinkedIn helps us connect directly with operators, founders, and teams who face workflow and automation pain every day — our ideal audience. The conversations there feel real, not performative. And Product Hunt? That’s where we test momentum. Every thread, every comment, every small launch helps us grow visibility organically within...

For me, it’s structured patience — knowing when not to chase every shiny trend. In 2025, with AI moving at lightning speed, most founders rush to build fast, pivot fast, and launch faster. But the real edge lies in slowing down just enough to connect the dots — between your product, market, and user psychology. At Growstack, that’s been our quiet advantage. We experiment aggressively, but every...

LaunchForge is a fantastic idea—automating launch pages and social content can save founders countless hours and help them focus on building. Do you plan to add integrations for analytics or automated email campaigns post-launch?

GoMask.ai is a brilliant solution—solving the test data bottleneck with compliant, AI-synthesized data can massively speed up development cycles. Do you plan to expand support for more database types or CI/CD integrations?

Zumie is a fantastic tool—making screen recordings instantly polished with automatic zooms and transitions saves so much editing time. Do you plan to add templates or presets for different use cases like tutorials or product demos?

Parallax by Gradient is an incredible innovation—turning local devices into a shared GPU cluster truly democratizes AI compute. Do you plan to add autoscaling or support for edge deployments?

I’ve always believed competition shouldn’t feel like a battlefield — it should feel like a classroom. Every competitor is a case study in disguise. At Growstack.ai, we don’t see competitors as threats — we see them as signals. If someone’s doing something great, it means the problem is real and the demand is strong. Instead of copying or criticizing, we ask, “What’s the gap they’re not...

If it saves me time and mental energy, I’ll pay. Even if I could build it, I’d rather focus on what moves my own product forward.

I’d keep the “Use Case” section — it’s where people actually connect the product to their own problem. Features inform, but context converts.

Lookio is a really promising platform—making it easy to build reliable RAG agents through an API opens up so many possibilities for businesses. Do you plan to add analytics or feedback loops to measure answer accuracy over time?

Phare is a solid all-in-one platform—combining monitoring, incident management, and alerting in one place simplifies operations tremendously. Do you plan to add AI-driven anomaly detection or automated incident response features?

Metorial is an impressive platform—offering open-source, serverless integration for AI agents makes scaling and connectivity so much easier. Do you plan to add a community hub for sharing custom MCP servers or integrations?