“Jeff is a very talented and hard worker. He is the guru in open source development, and is also willing to share his knowledge with others on the team. Jeff is very thorough and detail-oriented. He was asked to fix bugs in a legacy system which was complex and had no documentation. He not only made the product better and clear of bugs, but also added several utilities to better monitor the production environment. He, also, developed self-serving tools for the users which greatly reduced the need to call for production support, and in turn created bandwidth for everyone on the team. He helped us develop web services, and readily shared his expertise with other members on the team. He designs user interfaces that are very intuitive, powerful, and clean. He practices modularization, code reuse, and use of proven frame works. He demands the same from others. Jeff is a key member of the team, and assists me in architect solutions and in building project plans.”
About
I build systems that need to work reliably under pressure—real-time license plate…
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It’s Game Over for criminals! 🎮🚫 The energy at ISC West was next level this year. Back in the day, you needed secret codes to unlock unique…
It’s Game Over for criminals! 🎮🚫 The energy at ISC West was next level this year. Back in the day, you needed secret codes to unlock unique…
Liked by Jeffrey Cobb
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Protecting retail environments starts at the entry and exit points. Covering every access point gives your team the visibility to act quickly like in…
Protecting retail environments starts at the entry and exit points. Covering every access point gives your team the visibility to act quickly like in…
Liked by Jeffrey Cobb
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VINchex is built for one thing: accurate lienholder data. In a fast-moving, highly litigious environment, bad or incomplete lienholder data isn’t…
VINchex is built for one thing: accurate lienholder data. In a fast-moving, highly litigious environment, bad or incomplete lienholder data isn’t…
Liked by Jeffrey Cobb
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VINchex delivers cost-efficient, 49-state lien scrubs designed to give you confidence to move forward. Let’s connect and see how we can be the data…
VINchex delivers cost-efficient, 49-state lien scrubs designed to give you confidence to move forward. Let’s connect and see how we can be the data…
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Big congratulations to all of our agents who earned 2025 Insight LPR awards 👏 We didn’t get photos with everyone, but we want to recognize both our…
Big congratulations to all of our agents who earned 2025 Insight LPR awards 👏 We didn’t get photos with everyone, but we want to recognize both our…
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At any given time, 5% of auto liens contain inaccurate information. That gap can lead to wrongful repossessions, legal exposure, and unnecessary…
At any given time, 5% of auto liens contain inaccurate information. That gap can lead to wrongful repossessions, legal exposure, and unnecessary…
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Everyone’s asking if AI is coming for their job. Not me. I’m not asking “what will I do if AI takes over?” I’m asking “what becomes possible when…
Everyone’s asking if AI is coming for their job. Not me. I’m not asking “what will I do if AI takes over?” I’m asking “what becomes possible when…
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Missing one VIN or corner shot shouldn’t derail an entire case. PhotoIQ™ steps in after the repossession to double-check photo sets, tag what’s…
Missing one VIN or corner shot shouldn’t derail an entire case. PhotoIQ™ steps in after the repossession to double-check photo sets, tag what’s…
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Every dev embracing AI is talking about Claude Code and OpenClaw. It’s very evident to me that Claude is the current winner in agentic software development, and OpenClaw is the clear winner for task automation. The thing they have in common isn’t the model they’re using; it’s the infrastructure, the ease of use, and how turnkey the systems are. I’ve been a primary user of OpenAI, but they haven’t done much to make using their models easier to interact with. That’s why I think bringing on the OpenClaw creator is one of the smartest moves they’ve made in the last year. Most of the consulting work I do around AI is about infrastructure and implementation. Very little of it is focused on generating a company’s “own model,” beyond some minor post-training or RAG implementations. And honestly, I think this year the biggest winners in the AI space won’t be the ones producing the models it’ll be the ones making them easy to use for low-tech and no-tech users. We’re at a point where the models are good enough to handle far more cases than we’ve actually put into practice. If I was a VC that’s where I would be putting my investment.
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