Ishaan Aggarwal

Ishaan Aggarwal

Founder of AdFlint — AI ad management for founders and small businesses

Comments

The 'creative ops from brief to launch in one place' positioning is sharp for DTC teams who currently juggle a brief doc, a separate DAM, an approval thread, and an analytics tool. Consolidating brief, asset storage, approvals, launch, and analytics into one workflow is a real pain point for in-house teams shipping high volumes of Meta/TikTok creative. The screenshots lean on asset storage and approval workflows, which feels like the strong core today. My one question: what does 'launch' actually mean here, does it publish creatives straight into the ad platforms or stop at handoff? Native publishing would be the real differentiator versus a standard DAM.

The angle of searching your own ATS in plain language instead of Boolean strings is a genuinely useful wedge. Boolean recruiter search is notoriously painful, and natural-language querying over a database you already own (rather than re-sourcing) is a smart, focused use of AI. The 'paste a job description and surface matching candidates' flow in the screenshots is the kind of concrete, time-saving workflow recruiters will get instantly. My main questions: how does it handle messy or duplicate ATS data, and which ATS integrations are supported at launch? That'll make or break adoption for agencies.