On 2019‑11‑08 11:57 UTC I posted a short social‑media announcement promoting an AI tool that could “shorten your ML cycle”, targeting deep‑learning teams struggling with schedule pressure and using hashtags #deeplearning, #ai, #ML, #aiforall, #nitiaayog, #hackathon.
I recorded the promotion timestamp as 2019‑11‑08 11:57 UTC.
I announced a series of early‑beta and trial promotions for Labellerr’s image‑recognition and object‑detection platform in November 2019, inviting deep‑learning researchers and practitioners to sign up via short URLs and highlighting speed and efficiency benefits.
On 2019‑11‑04 17:43 UTC I announced beta access for image‑recognition ML, stating that Labellerr “makes your job of #ML model building efficient and less time consuming” and provided the sign‑up link http://bit.ly/2WIfk7B.
The beta announcement also hinted at “Surprises for the #beta customers!”.
On 2019‑11‑05 15:31 UTC I promoted a fast object‑detection model‑building service, emphasizing that Labellerr enables building object‑detection models “in less time”.
On 2019‑11‑07 06:03 UTC I launched a 30‑day free trial, claiming that ML models can be created “in days rather than months”.
The trial also emphasized rapid model creation, stating “create #ML models in days rather than months”.
These promotions target deep‑learning researchers, data‑science practitioners, and college‑level tech enthusiasts, and they are cross‑linked with my broader Labellerr outreach annotation platform and services overview and eduwaive student programs and fellowships.