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swati paliwalleft a comment
While I'm onboard for it, I'm curious to have a detailed understanding of what and how it's being pushed. Seems like PH is the Tech-obsessed Reddit now. Being active is the KEY to these.
How do you like the new face of Kitty Coin?
Zac ZuoJoin the discussion
swati paliwalleft a comment
Congrats. No data collection is a huge win btw! How does it handle threaded replies or templates to keep that joy going?

Joy for GmailA Gmail with clearer inbox, focused writing, less noise
swati paliwalleft a comment
This is exciting, just a quick question: how does Genie handle multi-source data blends for queries like "What's driving churn this quarter?" and spot correlations automatically?
Genie launches on Product Hunt tomorrow - here's what we built
Ziga PotocnikJoin the discussion
swati paliwalleft a comment
Congrats on the launch! Just a quick quest: Beyond the basics, have you thought about multi-knock patterns to layer in more gestures without overwhelming the tuning?

KnockKnock on your MacBook to control your Mac
swati paliwalleft a comment
How does Air handle agent conflicts or differing outputs when running multiple agents like Codex vs. Claude on the same codebase task? Any built-in diff tools or voting mechanisms to streamline reviews?

JetBrains AirRun Codex, Claude Agents, Gemini CLI, and Junie side by side
swati paliwalleft a comment
Spot on, AI speeding up builds is thrilling, but skipping user research leads to shiny flops that nobody wants. From my side, I've seen founders prototype fast with AI but pivot 3x because assumptions trumped real user signals. Your approach flips that: query transcripts mid-prompt for evidence-based tweaks.
AI can build faster than ever. But are we losing the user?
Gaayathri MuruganJoin the discussion
swati paliwalleft a comment
This nails why so many "fast" products fade; shipping without a soul-deep theory just creates noise.
Nobody talks about the products that survived because they shipped slow.
Mona TruongJoin the discussion
swati paliwalleft a comment
What's one original data point you published that surprised even you; and got AI to cite it fastest?
I Spent 6 Months Building a Product AI Would Never Mention. Here's What I Learned.
Imed RadhouaniJoin the discussion
swati paliwalleft a comment
This is quite an eye-opener and first off kudos on building in this apce, it's very underrepresented. I've always surrounded myself with people that support and understand each other no matter what, especially women supporting women means much to me. And the group that surrounds me sees and understand my hustle and give me unprecedent support on it. Yes, I admit, not everyone understands...
81% of founders never tell anyone what's actually stressing them out
Astro TranJoin the discussion
swati paliwalleft a comment
This hits hard tbvh. I've felt that founder isolation creep even in the moment at times, where venting feels risky everywhere. Spot on about stranger-founders being the gold standard; those raw event side-chats have saved my sanity a few times.
Who do you actually talk to when things get hard?
Astro TranJoin the discussion
swati paliwalleft a comment
Love the customer q&a focus over generic keywords. Quick q: for non-SaaS like personal branding tools, which of the 3 tweaks from q&a, comparisons, data move the needle fastest for AI citations?
Your Product Is Great. AI Will Never Know Unless You Do These 3 Things.
Imed RadhouaniJoin the discussion
swati paliwalleft a comment
Accountability for AI agent decisions should primarily sit with the deploying company; the ultimate gatekeeper who chooses deployment, sets parameters, and defines oversight. They can't outsource responsibility like with any tool; if a lead qual bot ghosts a hot prospect due to bad config, the business owns the revenue hit. That said, shared liability makes sense: model providers for flawed...
Who is accountable when an AI agent gets it wrong?
Priyanka GosaiJoin the discussion
swati paliwalleft a comment
Heym kudos to you and your team. A quick q; how do you handle voice command accuracy in noisy environments or with technical jargon? Any training tips for knowledge workers to hit that flow state faster?

LemonVoice-Powered AI Agent That Turns Voice Into Done Tasks
swati paliwalleft a comment
Congrats on that first revenue-funded salary; super proud of you. Huge milestone, especially post-pivot from Dolphin AI! A small q for you tho; what's one key adaptation from the pivot that unlocked Pretty Prompt's paying users, and how are you blending AI to hit the next revenue leap?
I took my first salary as a founder 🥹
Ilai SzpiezakJoin the discussion
swati paliwalleft a comment
Love how Seagull bridges desktop-to-mobile for in-person chats; game-changer for multicultural teams or travel. How does it handle accents/dialects in less common languages (e.g., regional Indian or African dialects), and any plans for offline mode to make it even more reliable on spotty connections?
We're launching a mobile app to translate all your conversations!
Eduardo CoelhoJoin the discussion
swati paliwalleft a comment
I've found peer accountability groups (like founder dinners or masterminds with 1-2 trusted builders) create the raw debriefs that stick. How are you weaving those real connections into Murror to make sure users get beyond the app to actual community?
Does building something to fight loneliness make you lonelier as a founder?
Astro TranJoin the discussion
swati paliwalleft a comment
This is quite underrated and I must admit I've done this too (almost went through a "Dear GPT-phase," ngl. This is specially powerful when you're a complete decision making machine and need more than one head and some stats that can prove to you whatever's in your head can be done if done well, otherwise not. Because I've also been hit with the AI-bias. Doesn't akways work.
I stopped asking AI to do tasks. I started asking it to think with me. Here's what changed.
Mona TruongJoin the discussion
swati paliwalleft a comment
Congrats, game-changer for non-techie marketers analyzing campaign data. Quick question: how does it handle multi-source blending (e.g., Excel + PDF sales reports + Google Analytics exports) for holistic dashboards, and any upcoming features for collaborative sharing or export to tools like Google Slides?
OrangeLabs! Now live on Product Hunt!
Neelanchal GognaJoin the discussion
swati paliwalleft a comment
I keep it simple and perhaps the answer is boring, but here it is: Does it clearly communicate what it does and for whom? Does it feel relevant to me or my field of work? Is it something that's very new, fresh and not necessarily heard of before (a little rare)?
swati paliwalleft a comment
This post nails a quiet killer for founders; that narrative theater erodes real confidence. I am curious tho, what's one "behind-the-metrics" checklist you use as a founder to quickly vet competitors' growth claims (like maybe retention proof, customer NPS screenshots) so early teams stay focused on building stronger products?
Our competitor added themselves to a food delivery app… then posted the traffic like a win 😅
Ayda GolahmadiJoin the discussion



