Sergey Arkhangelskiy — Robotics
Runs models on real robots in a lab to benchmark and evaluate robot AI performance under standardized conditions.
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Recent Posts
See AllBuilding the world's first stable autonomous monowheel robots for 24/7 security patrols and physical work automation.
Building fully autonomous farming robots for precision agriculture, from prototype to near commercialization after securing funding.
Builds a lab for standardized testing and benchmarking of robot AI models on real hardware with detailed scoring and video comparisons.
Sergey Arkhangelskiy — Robotics
Runs models on real robots in a lab to benchmark and evaluate robot AI performance under standardized conditions.
The Return to Office Mandate Hits a Structural Wall
Corporate executive threats did not break remote work, they only revealed its permanent floor of twenty-three percent.
Inside the $392 Billion AI Funding Supernova
North American venture capital just hit an all-time high, but the record-breaking numbers hide a brutal reality for early-stage founders.
Why Raw LLM Scaling Died in 2026
Forget trillion-parameter models. The new war for AI dominance is being fought on test-time compute and agentic orchestration like OpenClaw.
Sander Sebastian Agur — Robotics
Building the world's first stable autonomous monowheel robots for 24/7 security patrols and physical work automation.
Mark Oforiquaye — AgriTech
Building fully autonomous farming robots for precision agriculture, from prototype to near commercialization after securing funding.
Sergey Arkhangelskiy — Robotics
Builds a lab for standardized testing and benchmarking of robot AI models on real hardware with detailed scoring and video comparisons.
The Frugal Pivot: What Elite Founders Are Actually Reading in 2026
Elite founders are abandoning generic growth advice in favor of hyper-frugal, stage-matched reading lists that prioritize immediate survival over premature scale.
Google Just Automated the Frontend Developer
Google's new AI Studio Build agent generates custom app interfaces on the fly, signaling a massive shift toward agentic UI and instant prototyping.
Sergey Arkhangelskiy — Robotics
Building a standardized testing platform for evaluating robot AI models on real hardware with detailed scoring and leaderboards.
The Real AI Adoption Map: Where the $186 Billion Enterprise Budget Is Going
As global enterprise AI spending surges to $186 billion in 2026, a stark divergence is emerging between capital allocation and actual operational integration.
Genomics Startup Biotia Lands $9M to Fight UTIs
While software founders face a grueling funding winter, genomics startup Biotia just oversubscribed a $9 million round to reinvent infection diagnostics.
Silicon Valley Bets $163 Million on AI Hearing Hardware
Fortell's $163 million war chest proves that venture capital is ready to challenge legacy medical monopolies with high-moat AI hardware.
Sergey Arkhangelskiy — Robotics
Builds a lab and independent leaderboard for standardized real-world benchmarking of robot AI models on physical hardware.
The Grid Cannot Handle the New Solar Boom
A massive wave of hybrid solar-plus-storage projects is hitting the US grid, forcing a shift from power generation to software-driven distribution.
Factory Robots Are Escaping the Auto Assembly Line
As automotive robot orders plummet, a quiet boom in life sciences and collaborative cobots is reshaping the hardware venture landscape.
Sergey Arkhangelskiy — Robotics
Builds a testing lab and independent leaderboard to evaluate robot AI models on real hardware under standardized conditions.
The Return to Office Crusade Has Officially Failed
Despite aggressive executive mandates, remote work has stabilized at 23.7 percent of U.S. workdays, marking a permanent shift in the talent war.
AI Capital Is Starving the Rest of Tech
As venture capital hits historic highs, a massive funding divide has split the tech industry into AI giants and everyone else.
Why Giant AI Models Are Losing the Benchmark War
As traditional LLM benchmarks saturate, founders must pivot to task-specific efficiency over raw parameter size to build viable agentic workflows.
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