How we transformed Wevolver from a news aggregator into a premier engineering review platform through deep-dive "Digestion" and AI-enhanced verticalization.
We stopped treating content as "posts" and started treating them as "briefings." [cite_start]By taking raw academic papers or tech demos and applying a layer of editorial "digestion" (like MIT Tech Review), we bridge the gap between complex engineering and social feed accessibility[cite: 28].
This adds a layer of "Value Added" that justifies the follow button, moving casual viewers into loyal community members.
Engineering footage is often landscape (16:9). Posting this on Reels killed reach. [cite_start]We utilized AI Generative Fill to expand 16:9 backgrounds into 9:16 canvases [cite: 210-215].
This allows us to post full-screen immersive video without cropping technical details, boosting retention by keeping the viewer in the "native" mobile experience.
When Tesla released the Optimus folding video, we didn't just repost. [cite_start]We analyzed it and corrected the "Autonomous" claim (it was VR controlled) [cite: 140-145].
This honesty builds massive trust. By prioritizing accuracy over hype, Wevolver positions itself as a "Peer Reviewer" rather than just a news aggregator, significantly increasing the "Trust Score" of the brand.
Sifting through raw engineering news to find stories that allow for deep contextual analysis, not just hype.
Using AI tools to expand landscape footage into immersive 9:16 vertical video without losing pixel fidelity.
Adding voiceovers or text overlays that explain the "Why" and "How," correcting misconceptions (e.g., Optimus VR).
Leveraging Reddit AMAs and LinkedIn deep-dives to drive professional traffic back to the visual assets.