My curated take on this week's technology signals. Every Monday I review the latest data from the WTF Technology Radar — 310 tools across 12 categories — and highlight what actually matters.
The WTF Radar provides the quantitative backbone: trend scores from Google Trends, GitHub activity, search volume, and expert network signals. Here, I add the context that numbers alone can't give you — drawn from my work as a technology advisor for PE/VC firms including Bain Capital, Berenberg, and McKinsey.
Last updated: 2026-02-16 (Edition 2026-W08)
What Changed This Week
No movement changes this week. All tools maintained their current trajectory.
Signal Quality Notes
Not all movements deserve equal attention. Here's how I think about separating signal from noise:
- High confidence: Movement confirmed across 3+ data sources (Google Trends + GitHub + expert mentions). These shifts are real.
- Watch list: Strong single-source movement (e.g., GitHub stars spike without corresponding search interest). Could be a launch event or viral moment — wait for confirmation.
- Noise: Small weekly fluctuations within the stable band. The EWMA smoothing in the scoring algorithm handles most of this, but some churn remains.
Category Highlights
A curated selection of the most active categories this week. For the full 12-category breakdown with all 310 tools, visit the WTF Technology Radar.
Engineering & Development
New (27)
AI & Machine Learning
New (60)
Enterprise Software & Platforms
New (31)
Marketing Technology
New (34)
Frequently Asked Questions
Why do you curate signals from the WTF Radar?
The WTF Technology Radar produces excellent quantitative data — weekly scores from Google Trends, GitHub, search volume, and expert network calls. But raw data needs interpretation. My role is to contextualize the numbers: which movements represent real shifts vs noise, what the investment community is seeing, and what action tech leaders should take.
How is this different from the WTF Technology Radar itself?
The WTF Radar answers "what the data shows" — transparent scores, movement classifications, methodology. This page answers "why it's happening and what to do about it." I add commentary from my work advising PE/VC firms and leading engineering teams, connecting data points to strategy.
How often do you publish commentary?
Every Monday, aligned with the WTF Radar's weekly data refresh. I review the latest movements, highlight the most significant signals, and share what I'm hearing from advisory calls and expert network discussions.
What qualifies you to interpret these signals?
I'm a top-1% expert network contributor across Tegus/AlphaSense, Office Hours, Third Bridge, Arbolus, Capvision, and Guidepoint. I participate in hundreds of technology advisory calls annually for PE/VC firms including Bain Capital, Berenberg, and McKinsey. This gives me a unique window into what technologies investors and strategic buyers are evaluating.
What do the expertise badges (filled/hollow dots) mean?
A filled dot (expert) indicates hands-on leadership experience — I have led teams, made buying decisions, or built production systems with this technology. A hollow dot (deep) indicates significant professional experience — I have evaluated, integrated, or managed this technology in an enterprise context.
Can I suggest a tool to be added?
Yes — reach out via the contact form. Suggestions are evaluated for the WTF Technology Radar based on relevance to enterprise technology, available data signals, and alignment with tracked categories.
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