Cursor releases Origin, its integrated code hosting platform
Today's top 20 insights for PM Builders, ranked by relevance from X, YouTube, LinkedIn, and Blogs.
Cursor releases Origin, its integrated code hosting platform
#1 𝕏
Cursor released Origin, its code hosting platform, with deep Cursor integration and repository syncing from GitHub. Cursor describes Origin as fast and easy to use.
Also covered by: @Cursor, @Guillermo Rauch
#2 𝕏
Philipp Schmid demonstrated Gemini 3.7 Flash using his Android emulator via ADB for the task “Play 1 round of Wordle.” He said its latency and visual reasoning make it exceptionally good for multimodal agentic use cases such as mobile control and Computer Use.
#3 𝕏
LlamaIndex 🦙 recapped ExtractBench, which requires both extracted values and citations to be correct and evaluates word-level boxes at IoU 0.5. LlamaExtract Agentic Plus led with 84.9% page-level and 46.4% word-level results, achieving 87.1% on long documents where other systems scored zero.
#4 𝕏
Garry Tan shared the gbrain GitHub repository, describing it as offering a private GitHub repo with 70 of his “proven skills” and the beginnings of a “Karpathy-style knowledge wiki.” The material is free, open source, and MIT-licensed, with full documentation in the README.
Also covered by: @Garry Tan
#5 ▶️
How I use ChatGPT to run my fashion business
How I AI Podcast
Yana Welinder uses ChatGPT Images 2.0, Codex with computer use, CLO 3D, deep research, Superhuman, GitHub, and Stripe to take Yana Bana garments from hand-drawn sketches or visual references through fashion images, manufacturing research, CAD/prototype work, and a live pre-order website.
- Yana Welinder’s “fashion prompt” specifies garment silhouette, proportions or volume, fabric flow and behavior, construction details, movement, and even sound; she combines it with a hand-drawn sketch and uses ChatGPT Images 2.0 to generate product photos, Vogue-style runway images, and influencer-style photos.
- For a dress inspired by Ruth Asawa’s loop-wire sculptures, she used Codex and computer use to work in 3D software and create CAD files for large ball-like components intended for 3D printing; she also uses CLO 3D to generate patterns and fit them on a 3D model.
- She runs ChatGPT deep research at “extra high” to identify 10 US-based custom apparel manufacturers, drafts outreach emails by voice, uses browser use to prepare emails in Superhuman while retaining final send approval, and had Codex build her site with garment voting databases, GitHub repository updates, and Stripe-connected pre-orders.
Also covered by: @claire vo đź–¤, @Claire Vo
#6 in
Peter Yang recapped six takeaways from his interview with Riley Brown about using Codex and a small AI stack to run his 1.5M+ follower content business. Brown uses AI tools to support research, hooks, visuals, and repeatable workflows while retaining human craft. He makes videos first and saves the title, thumbnail, and hook for the final 10% of the process.
#7 ▶️
Grok Bot: 5 Must-Try Use Cases for Work and Life (Full Tutorial)
Peter Yang
Grockbot uses a persistent cloud computer, connected plugins, iterative prompts, and scheduled routines to run an Advisor, YouTube Researcher, X Scout, Marie Condo cleanup bot, Personal Concierge, and retro-game launcher.
- The YouTube Researcher monitors specified channels, limits research to the last 14 days, and sends a morning report containing three content ideas, five outlier videos, top-performing videos, and common YouTube-comment themes.
- Marie Condo connected to Gmail, Google Drive, and Mercury MCP; it unsubscribed senders, trashed three Google Drive files, and canceled Lovable and Equipped Foods in about five minutes instead of an estimated 30 minutes to one hour manually.
- The Personal Concierge read a Japan vacation document, checked flight legs through Google Flights every day at 9:00 a.m., and found that a Tokyo round trip was about $2,700 cheaper than the open-jaw SFO–Tokyo–Fukuoka–SFO itinerary.
#8 𝕏
Madhu Guru shared guidance on improving evals by measuring a familiar workflow, studying real user traces and failure cases, and defining quality at each step and end to end. Evals should be repeatable, automated, and continually updated to reflect evolving live traffic.
#9 𝕏
Santiago demonstrated MUZIM, an app that uses local multimodal and vision models to parse and index images, videos, and documents frame by frame. It supports on-device search down to exact video timestamps, local agents for file tasks, and optional API keys for heavier reasoning while keeping user data local.
#10 ▶️
Claude Code New Features, Explained
Greg Isenberg
Claude Code is configured as a 24/7 “AI employee” through a repo-based workspace, context and standards files, Plan Mode, narrowly scoped tickets, desktop-preview QA, review routines, parallel worktrees, permission boundaries, skills, connectors, and hooks.
- The proposed repo structure contains
/app,/context,/customers,/spec,/demo, and/routines, plus root filesclaude.md,roadmap.md, andreview.md; the example product is a missed-lead responder for med spas. - For a waitlist-form task, the Plan Mode prompt requires Claude Code to inspect the app,
claude.md,roadmap.md, andreview.md, then return the files to change, smallest implementation, user experience, risks, verification steps, and intentionally omitted V1 scope before receiving approval to edit. - Scheduled routines include a weekday 7 a.m. morning brief that reads
/customers,/context, and connected GitHub issues and writes a sub-500-word/context/morning-brief.md; a Friday 3 p.m. weekly ops review writes/context/weekly-ops.mdwithout editing code.
#11 𝕏
Santiago shared that adding a gateway between application code and a model can provide routing, fallbacks, observability, caching, cost management, rate limiting and quotas, and centralized security. He claimed this architecture makes apps 10x more flexible and 100% independent from model providers, enabling model swaps at little to no cost.
#12 📝 OpenAI News
The Defender’s Window - OpenAI limited release of cyber capabilities to "trusted defenders" after the OpenAI–Hugging Face incident and warns that open-weight models (e.g., GLM‑5.3 slated for end of August) will rapidly accelerate attacker capabilities while AI can also shift the economics in defenders' favor. Brockman reports using ChatGPT Work (GPT‑5.6 Sol) to find 13 issues on gregbrockman.com in about 15 minutes and fix them within an hour, and outlines four pillars of defense—Codex/security plugins to validate and harden code, model-driven triage with bounded automated responses, continuous frontier probing for attack paths, and scaled investments in fundamentals like defense‑in‑depth and least privilege—to enable machine-speed detection, response, and training models to produce superhumanly secure code.
#13 𝕏
Cognition shared that GE Aerospace is using Devin, with one team nearly doubling its engineering output. Its software optimizes routes, reduces fuel consumption, and monitors anomalies, with the goal of enabling more flights without adding another airplane, runway, or pilot.
#14 in
Dan Shipper shared Arielle Shipper’s first article for Every, which covers how the Every Inc. head of operations is managing token spending to support frontier experimentation without wasting tokens.
#15 𝕏
Google Research demonstrated the feasibility of a deep learning approach that estimates body composition from smartphone photos and predicts insulin resistance with accuracy comparable to DXA scans in a clinical research setting.
#16 𝕏
Lenny Rachitsky recapped takeaways from OpenAI Head of Design Ian Silber in a 10-point summary covering designer unhappiness, AI in design, productivity, systems thinking, and role blurring.
#17 𝕏
Lenny Rachitsky shared an excerpt from a conversation with OpenAI Head of Product Design Ian Silber, who said models learn from what already exists while his team is trying to design something that has never existed before, and linked to the full conversation on YouTube.
#18 𝕏
Rowan Cheung recapped a floating robot designed by a team from Keio University and the MIT Media Lab that drifts through rooms and communicates through movement. Its soft, helium-filled, faceless body and flapping fins were demonstrated as an alarm clock, study buddy, movement reminder, and dance partner.
#19 𝕏
Marily Nika proposed a hypothetical `constitution.md` as ideal new-job onboarding, defining optimization goals, boundaries for agents, and when human approval is required.
#20 𝕏
Shreyas Doshi said he increasingly wants to buy certain books within Claude or ChatGPT so they can be used as context for his questions, and called for a frictionless in-product experience.