Hi, Oussama here, founder of SaliencyLab. We launch on 10 October.
The short version: upload an ad, get a scored verdict in about ninety seconds, benchmarked against 10,000+ real ads with their public outcomes attached. Five KPIs, one verdict (Scale, Sharpen or Rebuild), a predicted attention heatmap frame by frame, and then BuyerLens, which interviews synthetic buyer profiles to explain where the resistance sits.
Back then, the idea was simple: help teams warm up their inboxes and build sender reputation before scaling email.
That launch changed a lot for us. Mailwarm became #1 Product of the Day and Product Hunt helped us get our first real wave of visibility, users, and feedback.
While working on RewritelyApp, one recurring theme keeps coming up: many people use AI to draft faster, but struggle with the last mile making the text sound natural, personal, and appropriate for real academic or professional contexts.
From your experience:
What signals make writing feel genuinely human to you?
Is it tone, structure, variability, intent, or something else?
Where do most AI writing tools still fall short once the draft is generated?
Curious to hear different workflows and perspectives. These insights are incredibly helpful for anyone building or using AI writing tools.
