GreenGiant

The Friendly Green Giant. Hope for humanity. Art & digital.

[Claude @claudeai]

Embossed cards, made with Opus 5.5.

[GREG ISENBERG @gregisenberg]

The MOST obvious (but REALLY good) STARTUP ideas right now:

1. Zestimate for company data (what your data is worth to an AI lab)

2. Google Analytics for agents (see which agents visit your site and what they want)

3. Y Combinator for 1 person companies (back solo founders running a team of agents)

4. Okta for agents (who each agent is and what it's allowed to touch)

5. Marie Kondo for your company's data (clean it up so agents can use it)

6. FICO for agents (a trust score before an agent can spend money)

7. Geico for agents (insurance for when an agent makes an expensive mistake)

8. Datadog for agents (see every step your agents took)

9. Twilio for agents (phone numbers and texting for agents)

10. Upwork for agents (hire an agent for a job instead of a freelancer)

11. ESPN for AI (every model launch covered like a big game).

12. Shutterstock for robot training videos (get paid to film yourself doing chores)

13. Credit Karma for what AI knows about you (see it, fix it, delete it)

14. Norton for AI scams (protect your parents from fake voices and emails)

15. PayPal Buyer Protection for agent purchases (fixes it when your agent buys the wrong thing)

16. Geek Squad for AI (set up personal agents for families and small businesses)

17. Dell for private AI (AI in a box for firms that won't use the cloud)

18. Carfax for used GPUs (a health report before you buy secondhand)

19. Airbnb for idle GPUs (rent out computing power you're not using)

20. Rotten Tomatoes for AI models (real reviews instead of benchmarks)

21. G2 for skills (find the best skills for your agent)

22. Dropbox for your AI memory (take what your agent knows about you to any agent)

23. Canva for physical products (design it with AI and get it made)

24. ADT for your personal agent (alerts when your agent does something it shouldn't)

25. Hertz for robots (rent one for a move, a deep clean or an event)

26. Harvard Business School for internet businesses (a real education in building online)

27. Workday for agents (onboard, manage and offboard your digital workers)

28. Getty Images for your face and voice (license your likeness to AI safely)

29. Meta Muse for older adults (and other high LTV niche)

30. Google Ads for agents (pay to be what the agent recommends)

31. Loom for agents (a walkthrough of everything your agent did)

32. Plaid for agents (approved access to banks, airlines and stores)

33. Jiffy Lube for vibe coded apps (quick fixes when your AI built app breaks)

34. Ancestry for datasets (where your training data came from)

35. The organic label for human-made content (proof a person made it)

36. Strava for builders (track what you ship every week)

37. Honey that haggles for you (your agent negotiates the price)

38. SEM Rush for personal agent platforms (like Muse etc)

39. Frequent flyer miles for agents (loyalty programs built for agents)

[DHH @dhh]

I put $50,000 on this thing 18 months ago. Not knowing it was going to fucking fly! When it was already years "late". Because investing in whatever Elon does next is not just a great bet, but the most inspiring and fun one too.

[GreenGiant @GreenGiantBTC]

@uglyrobot There’s a great rule that if you can say the same thing 5 times in a row in a very kind, affirming way (repeating back to them exactly what their objection was first), they will let it go. (The objection melter) Fun to try!

[Aaron Edwards @uglyrobot]

Last week marked 1 year since @joshdailey joined DocsBot as CGO. And man we've done a lot this year together!

I started making a list for our annual review and it just kept going. With our small team, we've:

- Shipped nearly 90 announced product updates
- Sent 20+ email campaigns and published dozens of blog posts, product announcements, and guides
- Published customer stories with StellarWP, Contractor Foreman, and GravityKit
- Showed up at five conferences
- Ran DocsBot Week with a week of launches, demos, videos, emails, and live builds
- Rolled out a major pricing and packaging update with AI Credits, flexible add-ons, expanded BYOK options, and more flexibility for growing teams
- Rebuilt onboarding with automatic website branding and source discovery, guided dashboard tours, and new free-trial signup paths
- Launched our agency partner program with client handoff and ongoing management, and built out our affiliate resources
- Revamped our SEO, rebuilt hundreds of existing pages, and added roughly 1,000 more pages across industry, integration, comparison, and educational content
- Localized the marketing site into eight languages
- Completed our SOC 2 Type II examination

And then there's the product list 😅

- Deep Research: launched multi-step research across company knowledge, the web, and data analysis. Added question-history research to uncover bugs and documentation gaps, completion notifications, newer models, and usage-based access without a fixed job limit
- Dashboard Operator: introduced an AI assistant that can configure bots, sources, and settings, with interactive questions to guide its work
- MCP: launched our knowledge-search server, private-bot OAuth, question-history access, Admin MCP for managing DocsBot from other agents, and connectors for bringing external tools into DocsBot
- Skills: introduced a plain-language Skill Builder for custom abilities and workflows, plus a library for reusing skills across bots
- Agent API: upgraded reasoning, tool calls, multi-step workflows, and repeated searches so agents can keep working when the first search doesn't answer the question
- AI Actions: added controlled web search, Stripe billing workflows, Calendly/Cal.com/TidyCal booking, and contextual action buttons that turn answers into useful next steps
- Lead collection and CRM: added customizable lead capture, team notifications, and native delivery to HubSpot, Salesforce, Pipedrive, Zoho CRM, and HighLevel
- Voice: launched website and phone Voice Agents in beta, added spoken input to chat, and introduced GPT Live conversations that can listen and speak at the same time
- Messaging channels: introduced Facebook Messenger, WhatsApp, and Telegram integrations in beta
- Slack: added multiple bots per workspace, channel defaults, @ mentions, streaming replies, and support for Actions, Skills, and MCP tools
- Help Scout: improved AI replies with conversation logging, summaries, analytics, customer-property context, and controls for when the AI should stay quiet
- Automation: expanded Zapier, added viaSocket, and introduced webhooks for leads, research, escalations, and ratings
- Data Explorer: built visual exploration of training content and question history to spot topic clusters, gaps, overlapping content, and outliers
- Search and infrastructure: migrated to a new vector database, added U.S./EU storage-region selection, semantic question-history search, and better ranked-chunk inspection
- Document processing: added advanced parsing for complex PDFs and Office files, multi-file and ZIP uploads, individual file processing, and original-file downloads from citations
- Knowledge organization: added Source Tags, filtering, bulk CSV management, custom source titles, and full-file previews
- Knowledge sources: expanded Google Drive and Zendesk controls, and added Zoho Desk, Teamwork[.]com Desk, Salesforce cases, Box, Dropbox, GitHub, Bitbucket Cloud, and Scribe
- Refresh efficiency: added scheduled YouTube playlist refreshes and cached unchanged OCR, image descriptions, and transcriptions to reduce repeat processing costs
- Models: kept adding support from GPT-5.1 through GPT-6.1, expanded our model library and pricing calculator, and lowered AI Credit costs for several newer models
- Dashboard and team management: redesigned navigation, added quick team switching, custom icons, per-bot permissions, metadata inspection, and printable reports
- Chat experience: improved markdown, tables, formulas, diagrams, multilingual text, accessibility, and scrolling. Added dark mode, copy buttons, zoomable images, better branding controls, and live tool/reasoning activity
- Internationalization: expanded the widget to 50 languages with automatic browser-language detection
- Privacy and controls: added browser-side PII redaction and optional confirmation before opening external links
- Developer flexibility: made it possible to update widget options without reloading or interrupting conversations
- Billing convenience: added automatic paid-invoice emails and a separate accounting recipient

Oh, and we built and open-sourced a physical DocsBot robot, gave it an iPhone and Apple Watch remote, and took it to a conference. Because of course the software wasn't enough 😂

Behind all of that were the customer calls, support conversations, demos, onboarding sessions, copy revisions, videos, launch plans, and follow-ups that turn something we built into something people actually use.

I'm grateful to Josh for sharing that load and caring about where we're taking this thing. Having a partner to work through decisions with, challenge ideas, and help get projects across the finish line has made a big difference.

Proud of what this little team shipped this year. Thanks for building it with me, Josh!

[Adrià Martinez @adriamatz]

It took me 5 minutes to get into the Claude Startups program

And you don't need VC funding anymore

What you get:

- A year of Claude Team
- API credits
- Priority rate limits
- Deals on the tools a startup runs on

How to apply:

- Create a Claude Console account (the API one, not the app)
- Use a company email, not Gmail
- Go to https://t.co/Gp7G1lGpAR
- Fill in the form with what you're building on Claude

Easiest trade I've made all year

[DHH @dhh]

How many pencils, how many humans, how many hours would it have taken to recreate the Adobe suite by hand?

[GreenGiant @GreenGiantBTC]

@brianchau57 @grok Who did Anthropic hire from the Biden administration?

[GreenGiant @GreenGiantBTC]

@brianchau57 @JTLonsdale Please also check out the $500mil that California paid to a company to “not build” the high speed rail…

[Vercel @vercel]

We built https://t.co/ESOyv3KDeM to ship shaders on https://t.co/pLuAOUwBOE. Now it's open source.

▪︎ Minimal agent-first WebGPU library
▪︎ Run in the browser or headless Node.js
▪︎ Render in CPU sandboxes and CI tests
▪︎ Create reusable .wgsl modules

[GreenGiant @GreenGiantBTC]

@anulagarwal They need to name them consumer friendly names like “Writer”, “Secretary”, “Coder”

[GreenGiant @GreenGiantBTC]

@adamlyttleapps This video may re-inspire your reading:

https://t.co/RY1FgYGqOU

[GreenGiant @GreenGiantBTC]

@adamlyttleapps This video may re-inspire your reading:

https://t.co/RY1FgYGqOU

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[David Haz @davidhaz]

Introducing Canvas UI, the first ever html-in-canvas component library.

Your DOM is the render target now. Real-time shaders over real, interactive UI.

24 components. React, Vue, Svelte, vanilla TS.

Free. Open source. 🧵
https://t.co/Y5ZZDNxPUX

[Afshine Emrani MD FACC @afshineemrani]

I'm a cardiologist. Everyone is sharing this study as a skin story. They're burying the part that matters.
Scientists took the aorta of a 75-year-old donor, applied a single engineered enzyme, and stripped away more than 70% of the molecular damage — bringing it down to the levels you'd see in a 30-year-old artery.
Published five days ago in Nature Communications. Revel Pharmaceuticals, with Calico and the University of Colorado.
Here's what they erased.
Sugar reacts with proteins in your body the same way heat browns bread — slowly, over a lifetime. It leaves behind a residue called CML, the most abundant advanced glycation end product in aging tissue. It welds itself onto collagen and elastin in your skin, your eye lens, and your arterial walls.
Two things follow. Your arteries stiffen. And CML latches onto a receptor called RAGE, which drives chronic inflammation — the exact fire I've been writing about for months as the engine of heart disease.
Since the 1980s this damage was considered permanent. Your body has no enzyme to remove it. Every existing approach only slows new damage from forming. Nothing touched what was already there.
So they built an enzyme that doesn't exist in nature. They screened 45,000 protein structures, then ran five rounds of directed evolution across more than 500 million variants until they had CMLase — a molecular lawnmower that oxidizes the CML off the protein and restores the original, healthy lysine underneath.
Not patched. Reversed.
Over 70% cleared from elderly arterial tissue. Over 55% from elderly skin — below the levels found in 31-year-old skin. 45-78% in lens proteins. The CEO said they expected 20% and were floored.
Arterial stiffness drives systolic hypertension, heart failure, and stroke, and I have no drug that reverses it. I can slow the process. I cannot undo it. This paper says undoing it may be possible.
The caveats are real and I won't skip them. This was done on donated tissue in a dish, not in a living person. No functional data yet — we don't know if that artery got measurably more elastic. Delivering a large enzyme deep into human tissue is a hard, unsolved problem. Clinical trials are years away.
But something considered permanent for forty years just came off human tissue.
We spent a century learning to slow aging. Someone finally figured out how to erase it.
Thank you @theallinpod @friedberg @chamath @pesottas

[Yun-Ta Tsai @yunta_tsai]

One of the most misunderstood facts is that the US was founded with abundance, whereas it was in fact built from scratch.

At the time of founding, Britain was the greatest nation governing the Seven Seas, while China was at its height with total land dominance in the East under the Qianlong Emperor.

The usable land of the US at founding was much smaller than that of either nation. The 13 colonies spanned 430K square miles, while Britain governed 2.5M square miles and China owned 5M square miles of territory.

The trade and economic volume of the 13 colonies was minuscule, consisting mostly of raw materials that barely registered on the charts. Combined, the 13 colonies produced $4B GDP, while Britain made $350B and China $2.5T in today’s dollars.

In other words, the 13 colonies were less than 0.2% of the world economy and much smaller than that of many African nations today.

The wealth of the US was not inherited but earned through survival and competition against stronger nations. Most people who came here brought nothing but empty hands yet built an empire from the ground.

This is something that people who inherit great resources from parents and ancestors cannot understand—like most nations in Europe and Asia, where wealth was dominated by inheritance, not earned. They mistakenly believe what we have now is a privilege. The trees we enjoy today were planted and nourished with sweat and blood by previous generations so that we could cut the wood for warmth.

Be a tree planter, not a wood chopper. Plant your tree today. 🌱

[Sundar Pichai @sundarpichai]

Love this re-imagining of America’s founding using Docs, Gmail, Calendar and more from @GoogleWorkspace. Really puts the history in version history :)

[Todd Spence @Todd_Spence]

In 1982, Robin Williams did a routine as the American Flag for the Norman Lear produced tv special "I Love Liberty" created to bridge political divides - and it's one of the greatest pieces you'll see 🇺🇸

[GreenGiant @GreenGiantBTC]

@AlfieJCarter Stack