About
Currently VP of Engineering at Dropbox, focused on building Dropbox Dash - an AI-powered…
Articles by Josh
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The Next AI Breakthrough Is Old-Fashioned Software Engineering
The Next AI Breakthrough Is Old-Fashioned Software Engineering
Everyone’s chasing smarter AI. But the real breakthrough won’t be intelligence.
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The 4 Ways LLMs Fail
The 4 Ways LLMs Fail
Large language models (LLMs) and AI agents that use them often get lauded as magic. But anyone using them in production…
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No, RAG Isn't Dead, It Just Leveled Up as Context Engineering
No, RAG Isn't Dead, It Just Leveled Up as Context Engineering
There’s been a lot of recent buzz around whether Retrieval Augmented Generation (RAG) has reached its limits. Is RAG…
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Building an AI Search app with 100 lines of code
Building an AI Search app with 100 lines of code
I’ve been a huge fan of AI search apps like Perplexity.ai, Phind.
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Brief History of Scaling Uber
Brief History of Scaling Uber
On a cold evening in Paris in 2008, Travis Kalanick and Garrett Camp couldn't get a cab. That's when the idea for Uber…
61 Comments
Activity
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I'm very excited to share that Fireworks AI has raised $250M in Series C funding co-led by Lightspeed and Index Ventures, and participation from…
I'm very excited to share that Fireworks AI has raised $250M in Series C funding co-led by Lightspeed and Index Ventures, and participation from…
Liked by Josh Clemm
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TC Disrupt is a tradition. Excited to be back and see you on stage tomorrow! Tune in for our talk on Finding PMF in the age of AI with Murali Joshi…
TC Disrupt is a tradition. Excited to be back and see you on stage tomorrow! Tune in for our talk on Finding PMF in the age of AI with Murali Joshi…
Liked by Josh Clemm
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Still reflecting on an unforgettable few days at the Fortune Most Powerful Women Summit—so many insights, stories, and sparks of inspiration still…
Still reflecting on an unforgettable few days at the Fortune Most Powerful Women Summit—so many insights, stories, and sparks of inspiration still…
Liked by Josh Clemm
Experience
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Projects
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Yaddle AI Search
The better search engine that uses AI to summarize and cite the answer for you. Uses retrieval augmented generation (RAG) to combine search result snippets with large language model (LLM) answer generation. Allows you to search for real-time queries and get sources.
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Draft Punk - Fantasy Football draft copilot
Draft Punk helps you prepare smarter and dominate fantasy football draft day with customized draft boards, unlimited mock drafts, and real-time recommendations. Instead of static rankings, it adapts to your league’s exact scoring and roster rules, and highlights value across positions with tiers, projections, and team-by-team analysis.
Why Draft Punk is Smarter
Draft Punk uses advanced machine learning and statistical models to give you insights no cheat sheet can match. Wisdom of…Draft Punk helps you prepare smarter and dominate fantasy football draft day with customized draft boards, unlimited mock drafts, and real-time recommendations. Instead of static rankings, it adapts to your league’s exact scoring and roster rules, and highlights value across positions with tiers, projections, and team-by-team analysis.
Why Draft Punk is Smarter
Draft Punk uses advanced machine learning and statistical models to give you insights no cheat sheet can match. Wisdom of the Crowd projections blend top analysts with ensemble learning and dynamic weighting. Dynamic Value Over Replacement (VOR) updates live as the draft unfolds. Multi-objective recommender models balance upside, floor, and roster needs. Markov chain simulations forecast draft flow and player availability odds. K-means clustering powers positional tiers. Risk analysis quantifies volatility and injuries. Live news is enhanced with retrieval-augmented generation, and large language models provide season outlooks and post-draft recaps.
Trusted by Players Since 2010
Draft Punk has been helping fantasy football managers for over a decade, with a loyal community that values its accuracy, flexibility, and depth. With hundreds of thousands of downloads and years of updates, it’s a proven tool that keeps evolving with the game and the data.
Whether you’re new to fantasy football or a seasoned veteran, Draft Punk ensures every pick is backed by smarter strategy. -
Networked Video Transmission System
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My Senior Project at Cal Poly, this system transmits video from a laptop to a television and vice versa, using existing internet/ethernet infrastructure. We developed software that would run on a PC, as well as software that ran on a Blackfin microcontroller connected to a TV. These two end points would transmit video data over IP, so conceivably any video could be transmitted to anywhere in the world. A place-shifting Slingbox-type project before slingbox was around.
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More activity by Josh
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Sat down with Lenny Rachitsky to talk about where AI is headed and how we’re making it work for model builders, enterprises and governments. Also…
Sat down with Lenny Rachitsky to talk about where AI is headed and how we’re making it work for model builders, enterprises and governments. Also…
Liked by Josh Clemm
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Meet Ameya, Director of ML at Dropbox, who believes you don’t need a green light to explore—just curiosity and the drive to start. From testing new…
Meet Ameya, Director of ML at Dropbox, who believes you don’t need a green light to explore—just curiosity and the drive to start. From testing new…
Liked by Josh Clemm
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What an incredible kickoff to a weeklong series of events in Los Angeles! Yesterday I spent time with our team and the world’s best photography…
What an incredible kickoff to a weeklong series of events in Los Angeles! Yesterday I spent time with our team and the world’s best photography…
Liked by Josh Clemm
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ngl, it’s been a good week. Good enough to share on a Friday afternoon, even though that’s probably the worst time to post on LinkedIn. Customer…
ngl, it’s been a good week. Good enough to share on a Friday afternoon, even though that’s probably the worst time to post on LinkedIn. Customer…
Liked by Josh Clemm
Other similar profiles
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Matt Henderson
Today, we’re thrilled to publicly launch Phoebe and announce $17M in seed funding, in rounds led by GV and Cherry Ventures. We are building the immune system for software: An AI agent platform that continuously investigates live data, diagnoses emerging issues and generates preemptive fixes. As AI accelerates how software is built, reliability must keep pace. Phoebe started with faster troubleshooting, and our aim is to prevent the overwhelming majority of emergent problems before becoming customer-impacting failures. Huge thanks to the hundreds of early users at customers such as Trainline and PPRO. Thanks to our investors, including 20 CTOs and tech veterans joining as angels. And of course, thanks to the small and mighty Phoebe team! This is just the beginning! 🚀 Shoutout to Mark Kleinman at Sky News for breaking the news this morning (linked in the comments) Some of the many backers we're grateful for 🤗 🙏 GV (Google Ventures), Cherry Ventures, Anthony Danon, Carmen Alfonso Rico 🍫, William Gaybrick, Shola Akinlade, Yaron Shaer, Christian Dorffer, Tom Stafford, Thomas Wolf, Andrew Tan, Victor Riparbelli, Harsh Sinha, Jeanne DeWitt Grosser and more
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Medha Agarwal
🚀🚀 AI is rewriting the rules of startup success. In our latest Crunchbase piece, Noah Lin and I dive into how we @ defy.vc have seen AI-first companies scale smarter with value model tactics—leveraging predictive power and network effects to reshape industries. From defying traditional metrics to building data moats, these strategies are a game-changer for founders. 💡 Stay tuned for a deeper follow-up where we’ll share actionable tactics for founders to scale their AI ventures! Full article 👇 #AI #Startups #Innovation #VentureCapital
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Tanmai Gopal
MIT dropped a report that’s shook some enterprise AI folks…Forbes was hustling last night to cover it, and I shared as many thoughts as I could. Here’s what matters: We’ve been saying enterprise AI fails because it’s “confidently wrong”. Now MIT has the data to back it up: 95% of AI pilots deliver zero ROI. That stat validates what PromptQL has been solving for quietly and steadily over the last 2 years — the reliability gap in enterprise AI connected to data. The problem isn’t what most people think. And the solution isn’t what most companies are building. Here’s the real insight that didn’t make it into the article: Most enterprises are asking the wrong question. They ask “Is our AI smart enough?” when they should ask “Would our AI hold up under oath?” Because every AI answer is testimony. In finance, healthcare, and government, if your AI can’t show its sources and reasoning like evidence in court, it’s not enterprise-ready. It’s just an expensive demo. Full Forbes piece on PromptQL here: https://lnkd.in/ggjDJSzH
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Scott Woody
Today in “Scott Learns How Silicon Valley Works”: I’ve apparently been quoting ARR wrong this whole time. At Metronome we run a usage-based business. Customers sign up for committed contracts, find value, expand, and then negotiate new ones. It’s a virtuous cycle of NRR growth. To stay disciplined, we usually talk about cARR - the literal book value of our signed contracts. It’s conservative by design. But here’s the truth: most customers expand well beyond that number, often for multiple years. The confusion: I recently told an investor, “Our cARR is $X.” They assumed that meant a run-rate from last month’s revenue - and mentally discounted it by 50%. In reality, history says that $X in cARR is more likely to yield ~150% of X in actual revenue. A 3x swing, all in the framing. That’s just part of the fun (and pain) of building usage-based businesses: explaining why NRR, not ARR, is the real determining force. If you’re wrestling with usage-based monetization, let us know - we’ve had to learn this the hard way.
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