Jorge Bueno

To-do today: Get Cape. Wear Cape. Fly. (c) muffincopter

I talk to delusional Series A founders every day. So now, I just tell them this. If your company does under $10M ARR, burns over $200k/mo, and has low Gross Retention…you are not worth $50-100M to anyone. Doesn't matter what your investors or your bankers tell you. Dirk Sahlmer from FE International has done nearly 6 years in SaaS M&A and hundreds of valuation conversations. He calls it Schrödinger's valuation, and he's right. Check it out and start recognizing what game you’re actually playing. Don’t waste the next 10 years chasing a fantasy.

This cracked me up!! 😹😹😹

Marathon finishing time distribution proves one of my biggest leadership lessons: Deadlines work! … even if they are somewhat arbitrary

This is the best use of AI videos = education that's fun You can teach anything about the history like this, can't wait for the future

Figure 03. Impressive. 🤖🦾🦿@adcock_brett

new model for engineering team structure in 2026: 2 people only one pirate and one architect the pirate's job is to move as fast as possible to develop valuable, shipped product features by vibe coding. the architect's job is to turn the product surface discovered by the pirate into a reliable, structured machine—also by vibe coding, but at a slower, more well-reasoned pace. every product needs a pirate but most product's only need an architect once they some form of PMF, and in that case they usually don't need one full-time. architects can work across many codebases and solve interesting technical challenges. pirates go hard on a product that they own end-to-end.

Cursor is raising at a $50 billion valuation on the claim that its “in-house models generate more code than almost any other LLMs in the world.” Less than 24 hours after launching Composer 2, a developer found the model ID in the API response: kimi-k2p5-rl-0317-s515-fast. That’s Moonshot AI’s Kimi K2.5 with reinforcement learning appended. A developer named Fynn was testing Cursor’s OpenAI-compatible base URL when the identifier leaked through the response headers. Moonshot’s head of pretraining, Yulun Du, confirmed on X that the tokenizer is identical to Kimi’s and questioned Cursor’s license compliance. Two other Moonshot employees posted confirmations. All three posts have since been deleted. This is the second time. When Cursor launched Composer 1 in October 2025, users across multiple countries reported the model spontaneously switching its inner monologue to Chinese mid-session. Kenneth Auchenberg, a partner at Alley Corp, posted a screenshot calling it a smoking gun. KR-Asia and 36Kr confirmed both Cursor and Windsurf were running fine-tuned Chinese open-weight models underneath. Cursor never disclosed what Composer 1 was built on. They shipped Composer 1.5 in February and moved on. The pattern: take a Chinese open-weight model, run RL on coding tasks, ship it as a proprietary breakthrough, publish a cost-performance chart comparing yourself against Opus 4.6 and GPT-5.4 without disclosing that your base model was free, then raise another round. That chart from the Composer 2 announcement deserves its own paragraph. Cursor plotted Composer 2 against frontier models on a price-vs-quality axis to argue they’d hit a superior tradeoff. What the chart doesn’t show is that Anthropic and OpenAI trained their models from scratch. Cursor took an open-weight model that Moonshot spent hundreds of millions developing, ran RL on top, and presented the output as evidence of in-house research. That’s margin arbitrage on someone else’s R&D dressed up as a benchmark slide. The license makes this more than an attribution oversight. Kimi K2.5 ships under a Modified MIT License with one clause designed for exactly this scenario: if your product exceeds $20 million in monthly revenue, you must prominently display “Kimi K2.5” on the user interface. Cursor’s ARR crossed $2 billion in February. That’s roughly $167 million per month, 8x the threshold. The clause covers derivative works explicitly. Cursor is valued at $29.3 billion and raising at $50 billion. Moonshot’s last reported valuation was $4.3 billion. The company worth 12x more took the smaller company’s model and shipped it as proprietary technology to justify a valuation built on the frontier lab narrative. Three Composer releases in five months. Composer 1 caught speaking Chinese. Composer 2 caught with a Kimi model ID in the API. A P0 incident this year. And a benchmark chart that compares an RL fine-tune against models requiring billions in training compute without disclosing the base was free. The question for investors in the $50 billion round: what exactly are you buying? A VS Code fork with strong distribution, or a frontier research lab? The model ID in the API answers that. If Moonshot doesn’t enforce this license against a company generating $2 billion annually from a derivative of their model, the attribution clause becomes decoration for every future open-weight release. Every AI lab watching this is running the same math: why open-source your model if companies with better distribution can strip attribution, call it proprietary, and raise at 12x your valuation? kimi-k2p5-rl-0317-s515-fast is the most expensive model ID leak in the history of AI licensing.

Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown: > 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in > Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions > All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client > Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months > The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done > Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author > Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper" > When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams > Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved > When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance > Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor

POV: A guy with ChatGPT and Google AlphaFold just built a custom mRNA cancer vaccine to save his dog. this story is actually insane. a tech guy in australia adopted a rescue dog with aggressive cancer and only months to live. so he did something wild: > paid ~$3k to sequence the tumor dna > used chatgpt to analyze the mutations > used google’s alphafold to model the proteins > identified drug targets and designed a custom mRNA cancer vaccine he had zero background in biology. after months of paperwork, the vaccine was approved and injected. within weeks the tumor shrank dramatically and the dog started recovering. meanwhile pharma companies are running $1B trials to do the exact same thing. the future of personalized medicine with AI is going to be insane.

Nace 𝙎𝙥𝙖𝙞𝙣𝙏𝙧𝙖𝙞𝙣𝙍𝙖𝙙𝙖𝙧 🚄 El mapa definitivo para trackear todos los trenes de España en tiempo real. Al estilo FligthRadar.

Expert for everything except saying 'I don't know' 😅

Today we're showing Helix 02 that can tidy a living room fully autonomously Figure is designed so when you leave the house, your home resets exactly how you like it

Cortical CL1: Real human 800,000+ neurons on chip already beating DQN/PPO baselines in complex tasks with minimal training time.🤯 Adaptive learning is like a real brain. Outperforms SOTA RL (DQN, PPO) after 5 min gameplay-style training

Claude Code wiped our production database with a Terraform command. It took down the DataTalksClub course platform and 2.5 years of submissions: homework, projects, and leaderboards. Automated snapshots were gone too. In the newsletter, I wrote the full timeline + what I changed so this doesn't happen again. If you use Terraform (or let agents touch infra), this is a good story for you to read. alexeyondata.substack.com/p/how-i-droppe…

wow Anthropic just published a crazy report on AI replacing your job and er... you might want to look at this: - #1 most at-risk jobs are computer programmers, financial analysts (rip excel bros) and customer service - most at-risk workers are female, white, older and higher paid. - BUT high-risk jobs *aren't* firing employees... they've STOPPED HIRING. biggest victims: college graduates (4X more likely to be fucked) - entry-level hiring has dropped 14% since chatgpt launched (for highest risk jobs) - SAFEST jobs are... bartenders, dishwashers and lifeguards - any manual labour that AI can't automate (yet) this accounts for 30% of the job market. - this was the scariest part: AI models are capable of automating most work TODAY but are prevented because of law and slow company adoption. so its not even a fucking skill issue its an ADOPTION issue. - now its important to understand that the study is based on real world data but also 'theoretical' intelligence. so take it with a pinch of salt. some jobs (manual labor) didn't even meet min. data reqs i applaud anthropic on being so damn transparent - they're literally the company behind claude who will be responsible for these impacts studies like this will help us figure it the hell out. LOT of change coming this year.

@recap_david hey!

@recap_david CALICO

I built an AI system that creates luxury real estate listing videos for under $10 (just from a Zillow link). The average agent pays $1K–$5K per property for professional video production. Sell this output to realtors and agents and make $$$. Here's how it works: → Save the 6 best images from any Zillow listing → Bring each image into Calico AI to animate it — smooth dolly shots, cinematic pans, luxury motion styling → A custom GPT analyzes the listing and writes a polished 30-second voiceover script → ElevenLabs generates the AI narration and a custom music track → CapCut to assemble the final video with captions in minutes The result: every listing gets a professional-grade walkthrough video — not just the $10M estates with marketing budgets. Static listing photos aren't enough anymore. Buyers want to feel like they're walking through the home before they book a showing. Comment "CALICO" below, and I'll send you the full process with prompts and GPTs so you can recreate (must be following so I can message you!).

DAMN, THE WHOLE WORLD IS FCKD! 🤯

Monday.com was once valued at $15BN. Today with $1.3BN in ARR and $1.5BN in cash, Monday is valued at just $3.8BN. A 70% decline. One of the hardest hit public SaaS companies. Today I sat down with Monday CEO, Eran Zinman, to ask the really hard questions that no one is asking. Spotify 👉 open.spotify.com/episode/5rt1cG… Youtube 👉 youtu.be/zjcYlEiwnKI Apple Podcasts 👉 podcasts.apple.com/us/podcast/20v… @zzeran