Udi Menkes

“Udi Menkes 🚢 commented that every product now has “2 customers,” making his long-used brand model (becoming the name a person reaches for first) incomplete.”

#12 𝕏 Udi Menkes 🚢 commented that every product now has “2 customers,” making his long-used brand model (becoming the name a person reaches for first) incomplete. Also covered by: @Udi Menkes 🚢 , @Udi Menkes

“Udi Menkes argues that product teams need structured continuous discovery: ask about past behavior, use an opportunity-solution tree, and include engineers in customer interviews. As agents increase building capabilities, he says effective discovery is becoming rarer—and building faster without understanding the problem only produces more products nobody wants.”

#13 in Udi Menkes argues that product teams need structured continuous discovery: ask about past behavior, use an opportunity-solution tree, and include engineers in customer interviews. As agents increase building capabilities, he says effective discovery is becoming rarer—and building faster without understanding the problem only produces more products nobody wants. #14 in Guillermo Rauch announced Vercel Labs, Vercel’s public research and experimentation arm for sharing what the company supports and researches, along with experiments that did not pan out.

“#2 in Udi Menkes recapped Amplitude’s Wave, a production product that identifies issues through analytics, opens PRs, deploys approved changes, and measures results—in one example, opening a PR within 15 minutes.”

#2 in Udi Menkes recapped Amplitude’s Wave, a production product that identifies issues through analytics, opens PRs, deploys approved changes, and measures results—in one example, opening a PR within 15 minutes. Personalization increased suggestion-card engagement by 160% in an A/B test, while other changes raised successful searches from 92% to 98%, onboarding completion from 6% to 9%, and blog sign-ups by about 45 per week.

“𝕏 Udi Menkes 🚢 shared AI Engineer’s video of his talk on Intuit’s financial-advice system, which derives millions of business state–action–outcome trajectories, uses reinforcement learning to select better actions, and trains an LLM to generate advice.”

#1 𝕏 Udi Menkes 🚢 shared AI Engineer’s video of his talk on Intuit’s financial-advice system, which derives millions of business state–action–outcome trajectories, uses reinforcement learning to select better actions, and trains an LLM to generate advice.

“#10 in Udi Menkes coins the “Reverse Information Paradox,” observing that companies using AI pay not only in cash but also by revealing proprietary prompts, corrections, evals and workflows.”

#9 𝕏 Aravind Srinivas warns that restrictive distillation terms and one-way usage data capture centralize economic value with infrastructure owners, not creators. He urges every firm to run its own distributed learning infrastructure to reclaim control of its learning loop. #10 in Udi Menkes coins the “Reverse Information Paradox,” observing that companies using AI pay not only in cash but also by revealing proprietary prompts, corrections, evals and workflows. #11 𝕏 Teresa Torres : Snapbar’s COVID cash crisis and obsolete product line forced “gritty resourcefulness,” driving bold bets on WebRTC and later generative AI + video that now power its AI-native offerings.

“in Udi Menkes argues that while human experts build judgment by observing real decisions and outcomes, today’s language models merely “read” text—so in finance AI must ground its recommendations in actual entity–action–result patterns.”

#9 in Udi Menkes argues that while human experts build judgment by observing real decisions and outcomes, today’s language models merely “read” text—so in finance AI must ground its recommendations in actual entity–action–result patterns.

“Udi Menkes created CEO-Bench, a 500-day simulation that gives an AI Agent a virtual $1 M startup to autonomously set pricing, invest in marketing, improve product and infrastructure, and close enterprise deals under noisy, delayed feedback.”

#5 in Udi Menkes created CEO-Bench, a 500-day simulation that gives an AI Agent a virtual $1 M startup to autonomously set pricing, invest in marketing, improve product and infrastructure, and close enterprise deals under noisy, delayed feedback.

“#24 in Udi Menkes urges product teams to stop asking which manual tasks AI can automate and instead imagine once-impossible “11-star” experiences à la Brian Chesky’s Airbnb exercise.”

#24 in Udi Menkes urges product teams to stop asking which manual tasks AI can automate and instead imagine once-impossible “11-star” experiences à la Brian Chesky’s Airbnb exercise.

“in Udi Menkes argues that B2B AI products often fail not because of model or data issues but because teams chase demo-friendly tasks instead of validating whether customers will change behavior, allocate budget, and integrate the solution.”

#7 in Udi Menkes argues that B2B AI products often fail not because of model or data issues but because teams chase demo-friendly tasks instead of validating whether customers will change behavior, allocate budget, and integrate the solution.

“#7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight.”

#7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight. #8 📝 Simon Willison Microsoft Copilot Cowork Exfiltrates Files - A report describes how Microsoft Copilot Cowork allowed agent-sent emails to leak data via externally rendered images and pre-authenticated OneDrive links, creating a path for prompt-injection exfiltration.