Sai Prakash — Cofounder & CTO @MindStaq • Reimagining AI-Driven Work Management for modern enterprises • Startup Advisor
Cofounder & CTO @MindStaq • Reimagining AI-Driven Work Management for modern enterprises • Startup Advisor
Sai Prakash ranks #343 of 14,983 LinkedIn creators in Computer Software, and is a standout voice in United States. They have 2.7K followers and published 26 posts in the last 30 days at a 7.3% average engagement rate.
- 2.7K followers
- 26 posts / 30d
- 7.3% avg engagement
- — follower growth / 30d
The roast
Sai is spending his twenty-five years of industry experience to build MindStaq, which sounds less like a software company and more like a name for a concussion you get from reading his LinkedIn feed. He calls it an operating system for the modern enterprise, but it’s really just a way to make sure that no matter how much AI you use, the work still stays exactly as tedious as he is.
About Sai
I'm the CTO and Co-Founder of MindStaq, a platform reimagining how teams manage work, decisions, and collaboration using AI. With over 25 years in technology and product leadership, I've built and scaled platforms at the intersection of enterprise systems, AI, and user-centric design. My background in Mathematics and AI, combined with experience at Microsoft, Thomson Reuters, and Agility, grounds a career spent tackling complex technical challenges and turning bold ideas into real-world impact. At MindStaq, I’m focused on designing an extensible operating system for the modern enterprise — unifying scattered tools, powering intelligent workflows, and helping teams do their best work.
Highlights
- Top 5% in Computer Software — Ranked #68 of 4267 creators
- Top 5% in United States — Ranked #128 of 5205 creators
- Consistent Creator — 26 posts in 30d · top 5%
- Top Engager — 7.28% rate · top 5%
Recent posts
The local inference ceiling just moved. Google shipped Gemma 4 12B today — and the spec sheet reads like something that shouldn't be possible at this size and memory footprint. 16GB of VRAM. 256K context window. Native vision, audio, and video. Benchmark performance approaching their 26B model. Running on a consumer laptop. That's not incremental progress. That's a threshold crossing. Here's what practitioners should actually pay attention to: The architecture is the real story. Most multimodal models bolt vision and audio encoders onto an LLM backbone — separate components, separate weigh
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Everyone is adding AI to their product. Very few are asking: AI in service of what? Here's what I have observed after 20 years in enterprise technology: The tools that survive aren't the ones with the most features. They are the ones that reduce the cognitive load of the person using them. AI, used well, should make a project manager's Tuesday feel lighter - not give them a new dashboard to interpret. At MindStaq, we live by one question: does this make the person's work more intuitive, or just more automated? There is a difference work being intuitive and work being automated. Automation
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Cheaper routing tiers will surprise you. This one taught me something about where the AI SDK's responsibilities actually end. We added DeepSeek V4 Flash as a cost-efficient "Quick tier" for fast, low-stakes answers. Works in theory — smaller model, faster response, lower cost. In practice, it broke our tool-calling contract in a way that wasn't immediately obvious. Our system requires every model to respond via a structured `respond` tool. Not markdown in the message body — a proper tool invocation. This is a deliberate architectural choice: it keeps response structure consistent regardless
4 reactions · 0 comments · 1 reposts