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Abed Abdallahleft a comment
If this actually outputs production-ready structure and not just pretty Low/High fidelity mockups, that’s powerful. Curious how usable the code export is in real projects.

Stitch by GoogleTurn napkin sketches into production-ready UI in seconds.
Abed Abdallahleft a comment
I tried running 4–5 in parallel at one point and realized the bottleneck wasn’t the model, it was me! What worked better for me was task segmentation instead of raw parallelism. One agent for exploration, one for refactoring, one for validation. Beyond that, diminishing returns.
How many Claude Codes do you run in parallel?
Derek ChengJoin the discussion
Abed Abdallahleft a comment
What stood out to me here isn’t just visibility. It’s distribution leverage. Product Hunt works particularly well for AI products because it compresses three things into one surface: early adopters, technical scrutiny, and public social proof. That combination creates second-order effects. A strong discussion thread can feed SEO, which feeds discovery, which feeds credibility outside PH. But...
Case Study: how Product Hunt can improve AI visibility in 2026
Andrew StewartJoin the discussion
Abed Abdallahleft a comment
eally intersting, bdst of luck. I have a specific scenario: Say I’m running a small SaaS landing page and pushing traffic from X and LinkedIn. Would PulseKit help me understand which specific posts are actually driving meaningful engagement, not just clicks? Curious how deep the attribution goes in a practical, day-to-day setup.

PulseKitYour key metrics, as widgets across your Apple devices
