Reference Apps & Tutorials
End-to-end engineering builds—such as Cloud TPU fine-tuning, ADK multi-agent pipelines, or LLM benchmarks—paired with open-source code and permanent blog essays.
Pillar 04 · Brand Partnerships
Code-backed technical storytelling for AI platforms, cloud, and developer tools.
Authentic tutorials, reference architectures, and product launches built by a practicing ML Tech Lead.
Audience & Formats
Reaching senior builders & technical buyers
82%
Senior Technical Audience
Staff+ Engineers, Directors, VPs, Founders & C-Suite
325K+
Annual LinkedIn Impressions
14,000+ AI & software engineering followers
72+
Open-Source Repos
Runnable reference apps accompanying deep dives
14+
Brand Partners
Hyperscalers, AI labs & developer tool startups
LinkedIn & X Campaigns
High-signal launch analyses, SDK walk-throughs, and architectural teardowns written for Staff+ engineers and technical decision-makers.
Sponsored Campaigns & Collaborations
Partner roster, live campaign examples & booking
Google ·
Google DeepMind ·
Google Cloud ·
LinkedIn Learning ·
Meta ·
Udacity × FedEx ·
Qodo ·
Parallel Web Systems ·
SenseLab (a16z Speedrun) ·
Adobe ·
Opaque Systems ·
Pensieve ·
Guidde ·
Simplilearn
Brand & Developer Campaigns
Passionfroot
Sponsored technical deep dives, SDK launches, and multi-channel developer campaigns.
LinkedIn & X Collaborations
Naano
Streamlined B2B and developer creator campaigns on LinkedIn and X.
Custom Scope
Direct Inquiry
Custom whitepapers, live developer webinars, stage demos, or multi-part technical series.
Partnership FAQ
Common questions
What developer partnerships does Jigyasa take on?
Code-backed technical deep dives, open-source reference apps, SDK teardowns, and LinkedIn/X launch analyses for AI platforms, cloud providers, and DevTools.
Who makes up her audience?
Across LinkedIn (325K+ annual impressions), GitHub, X, and her blog, 82% of readers are senior practitioners and decision-makers—Staff+ Engineers, Directors, VPs, and Founders.