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2026 LEO × Taiwan — Strong Upstream, Structural Absence at Mid-stream C

· 6 min read

Taiwan is nearly a world-class leader in the upstream of the LEO satellite supply chain (RF PA, filters, high-frequency PCB), and has decent participation in the downstream (ground terminals, antennas) — but a structural void exists in the hottest new theme of 2025–2026: mid-stream C, Orbital Data Center (ODC) hardware integration.

This is not an accident. It is a structural opportunity window.

Design Decisions for a LEO X-band Phased Array Transmitter

· 9 min read

Designing a phased array transmitter for space is not just a matter of getting the RF circuitry right.

Architecture selection, signal chain calibration, PA linearization, thermal reliability, radiation hardening — every layer involves trade-offs, and every decision influences the next. This post is drawn from my work on the XT-144 system design and measurement during my time at the RFVLSI Lab at NCTU and at Tron Future Tech. The goal is to connect the logic behind each of those decisions.

Year One of Space Compute: Five Hot Spots and an Investment Map for 2026 LEO

· 9 min read

In March 2026, Jensen Huang said something on the GTC stage:

"Space computing, the ultimate frontier, has arrived."

This was not a metaphor. In November 2025, US startup Starcloud launched an NVIDIA H100 into orbit (Starcloud-1) and completed the first large language model training session in space. Two months later, on January 11, 2026, Axiom Space launched two orbital data center nodes (ODC Node 1 & 2), connected them to Kepler Communications' optical relay network, and began offering cloud compute services to external customers.

Earth orbit has officially become a new location class for data centers.

X-Band LEO 衛星傳輸器的 EVM 校正實戰:從理論到量測

· 9 min read

設計一個 800 Mbps、X-band 的 LEO 衛星傳輸器,最難的部分不是 RF 電路本身——而是量測完之後,面對一個歪七扭八的星座圖,你知道問題在哪嗎?

這篇文章整理自交通大學電子所謝書超的碩士論文,記錄了一套 Zero-IF X-band 傳輸器從「星座點一團亂」到「EVM 達標通過 SEM」的完整校正歷程。有些眉角,教科書上找不到。

RF / SoC System Debug — A Bug Taxonomy from Hardware to Firmware to ATE

· 6 min read

Bugs encountered during New Product Introduction (NPI) are eighty percent not the "wrong line of code" variety of pure software problem — they are cross-layer interactions: hardware design passes review but SMT variation kills a certain batch; ATE test passes but the system side hits a firmware corner case because of a different profile; everything works in the lab until the customer's environment surfaces a coexistence interference issue.

This post fully documents the checklist I use on Wi-Fi / RF SoC product lines to "classify first, find root cause second." Future cases can be run through this list from the top.

Domain-Specific AI Agents — Why I Build My Own myGPTs

· 3 min read

General-purpose LLMs are powerful, but when it comes to deep analysis in specialized domains, they have two hard limitations: knowledge that lags behind the cutting edge, and factual dilution for niche fields. Take the Polkadot ecosystem as an example — key 2024–2026 developments like Agile Coretime, RegionX, and JAM are either unanswerable by general models, or return outdated information.

The solution is not a bigger model — it's giving the model a structured, trustworthy external knowledge base, then wrapping it with a persona and task prompt. That's the motivation behind my myGPTs.

Plurality: Collaborative Diversity as Governance

· 3 min read

I first encountered Plurality while browsing documentation about Project Liberty's efforts to expand DSNP (Decentralized Social Networking Protocol) across platforms like TikTok, Bluesky, and Frequency — and I noticed that former Minister Audrey Tang was also involved.

What Is Plurality?

I first came across Plurality because I saw Project Liberty actively advocating for breaking the traditional single decision-making model — encouraging people to approach issues from multiple angles and form governance structures that are more inclusive and adaptive. This plural perspective allows participants to explore multiple possibilities in different contexts, rather than being forced down a fixed, predetermined path. For more details, see the book Audrey Tang co-authored: Plurality GitHub Repository

Web3

The term "Web3" was coined by Dr. Gavin Wood to refer to "a decentralized online ecosystem based on blockchain." By leveraging blockchain's inherent transparency, Polkadot implements OpenGov — on-chain governance — which interestingly shares notable similarities with the ideas in Plurality.

Polkadot's Philosophy

Polkadot is a blockchain platform committed to cross-chain interoperability. Its core philosophy includes:

  • Decentralization: Connecting multiple parachains via a Relay Chain to enable shared resources and security consensus.
  • Interoperability: Enabling seamless communication between different blockchains, overcoming the limitations of isolated operation.
  • Flexible upgrades: Relying on upgradeable governance mechanisms that allow the network to rapidly adapt to new requirements and challenges.

OpenGov's Philosophy

OpenGov (Open Government) focuses on transparency, participation, and collaboration between governments and citizens. Its key characteristics are:

  • Transparency: Making policy decision processes fully open to the public by publishing government data and procedures.
  • Civic participation: Encouraging citizens to directly participate in public policy discussion and formulation, improving government accountability.
  • Accountability tracking: Establishing robust oversight mechanisms to ensure fair distribution and use of public resources.

Comparing the Two Philosophies

Although both Polkadot and OpenGov aim to break traditional centralized governance models, they differ in emphasis and implementation:

  • Technology-driven vs. institutional reform

    • Polkadot relies on blockchain technology and token mechanisms, emphasizing technical decentralization and network interoperability.
    • OpenGov focuses on institutional innovation and information transparency to facilitate interaction and collaboration between government and citizens.
  • Governance models

    • Polkadot uses on-chain governance, allowing token holders to participate in decisions, enabling self-adjustment and upgrades.
    • OpenGov values civic participation and policy transparency, aiming to reach consensus through openness and deliberation.
  • Application domains

    • Polkadot primarily serves digital assets and fintech, driving the decentralized network ecosystem.
    • OpenGov focuses on public administration and policy-making, modernizing government institutions and enabling data-driven decisions.

Closing Thoughts

Plurality offers us a framework for plural co-governance, allowing technology and democracy to advance side by side. Whether it is Polkadot's technical innovation or OpenGov's institutional reform, both are pushing society toward a more transparent, inclusive, and decentralized future.

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