I said this I forgot to who but I said it
BigTech will eventually come for all apps / startups / companies because they can fill the niches now that before could not because they were too small
Those niches is where entrepeneurs hung out, nice parts of the market people could build a little SaaS with $100K/y to even $100M/y, notjing like the $100B/y revenue BigTech was doing, but worth it
With AI now BigTech can fill those niches + they are the ones training and owning the best models, and keeping the best models for themselves they can outcompete anyone who doesn't own them (everyone except other BigTech)
End game for their survival is simply trying to take every business, it's just capitalism
This completely changes the prospect for entrepreneurs as there won't be much left, because BigTech is financially incentivized to have to take everything
Because if they don't, their competitor will!
https://t.co/tuHz5Ddw8t
Some of the best briefs are the open-ended ones.
India Deep Tech Alliance — wanted no imagery. Just pure design, motion, & interaction telling the story.
We built the identity and the website from scratch. Mature. Minimal. Built to last.
Proud of this one. Built by @teamEPYC
Introducing the @AIFuturesFund x @AccelAtoms AI Cohort 2026. 🚀
Selected from thousands of applicants, we’re backing five startups building the next frontier.
🤖 @getdodgeai (Autonomous ERP)
🎙️ Persistence Labs (Voice AI)
🏗️ @LevelPlane (Industrial Automation)
📺 @ZingrollIndia (AI-Native Entertainment)
🧪 @k_dense_ai (AI Co-Scientist)
My biggest takeaways from @jenny_wen (design lead at @AnthropicAI):
1. The traditional design process is breaking down. The classic discover-diverge-converge loop that designers have relied on for years doesn’t work when engineers can spin up seven coding agents and ship a working version before a designer finishes exploring options.
2. Design work is splitting into two distinct modes. The first is supporting execution: consulting with engineers as they build, giving feedback, polishing in code. The second is setting short-range vision, now scoped to three to six months instead of multi-year roadmaps. The vision work is still critical because when everyone can build anything fast, someone needs to point the team in a coherent direction.
3. Build trust through speed, not perfection. Anthropic ships products early, labels them research previews, and then iterates publicly based on real feedback. Jenny argues that what actually degrades a brand isn’t launching something rough; it’s launching something rough and then going silent. If you ship fast, respond to feedback visibly, and keep improving, users will trust you more, not less.
4. The most overlooked hire in design right now is the cracked new grad. Most companies are hiring senior designers with deep experience. Jenny argues that early-career people with blank slates, fast learning curves, and no attachment to legacy processes may be uniquely suited to this moment. They don’t carry baked-in rituals that are now obsolete, and their lack of expectations can actually be an advantage.
5. Chat as an interface isn’t going away. Despite expectations that chatbots were a temporary stop on the way to richer UIs, Jenny sees chat as a permanently valuable interface because it offers infinite flexibility. But she expects a hybrid future where models increasingly generate UI elements on the fly for specific tasks (like the interactive widgets Claude recently shipped) while chat remains the connective tissue between them.
6. Jenny went from design director (12 to 15 reports) back to IC. She questioned whether middle management had a safe future and wanted hands-on time during a period of rapid change. The IC time is giving her hard skills she wouldn’t have gained while managing.
7. AI will likely get better at taste and judgment. Jenny says designers may be holding onto “taste” as a moat too tightly. But someone still has to be accountable for what ships, the same way an engineer is accountable for AI-generated code.
8. Hire three archetypes: strong generalists, deep specialists, and “cracked new grads.” Strong generalists are “block-shaped” (80th percentile across multiple skills). Deep specialists are top 10% in one area. Cracked new grads—the most overlooked—have no baked-in processes and learn new tools fastest.
9. Figma is still essential, but for different reasons than before. Jenny says Figma remains the best tool for rapidly exploring 8 to 10 different design directions on a canvas, something that coding tools handle poorly because they’re too linear and create investment bias toward one direction. For micro-level visual and interaction decisions, spatial exploration still beats sequential iteration.
10. Low-leverage work is often the highest-leverage thing a manager can do. Jenny pushes back on the conventional management advice to ruthlessly prioritize only high-leverage tasks. She points to leaders who obsessively dogfood the product, repro bugs, and personally fix small issues—activities that seem “below” a senior leader but create deep product familiarity, set a cultural tone of care, and earn trust from the team in ways that strategic planning never can.
Watch our full conversation: https://t.co/UF9AzyCFac
We just built Figma for Claude Code
> Select any element on your local front-end
> Edit it like you would in Figma
> Apply the changes with Claude Code
This is not a demo or waitlist. Try it today.
Weekends are now mostly for meeting people IRL.
Left is with @nocodeguy - The dude is a legend, taught me everything I know about product, agency business, and freelancing.
Right is with my fellow members from @GrowthX_Club.
Building an AI agent for investor bankers - @jordiie09 and @satyamaaan building a stealth project.
🚢 Proud to have partnered with @getplumhq for their ambitious website overhaul—a true “Ship of Theseus” journey from the EPYC design & dev team’s POV!
. @accelindia just dropped the ultimate report on advanced manufacturing in India and every hardware / robotics founder trying to move out of China should read it
https://t.co/iYkye5KCoK
1/n
One of the most important things I've ever read was this by @shl
"The market you’re in will determine most of your growth"
It sounds basic but it's not
You think how much you work on your product and how great you make it work is what will make your revenue go up
But usually it's just the market and then if that market grows or not
That's why I like to throw spaghetti on the wall and try different markets until I see something stick and I see a potential market that is growing or I think will grow in the future
More important than your product I think
200+ 🇮🇳 AI-first startups.
One open list. 👇
SaaSBoomi’s #AIRadar is a living, open directory of 200+ #AI-first #startups (and growing).
Discover. Collaborate. Invest. Get inspired.
Find your next pilot, partner, or bet: https://t.co/XuLu7LclEj
Let’s build! 🦾
Building with a team? Apply as a team.
This year, you can invite your co-founder, teammate, or anyone you trust to collaborate on your Accel Atoms application to edit, review, and apply together.
Applications are now open. Check it out.
pixar accidentally solved the AI alignment problem in 2015. their movie - Inside Out demonstrates that human memory is an active, emotionally weighted system, not passive storage.
memories change valence over time, get contaminated by current emotional states, and are filtered through multiple competing utility functions (Joy prioritizing positive reinforcement, Fear encoding threat models, etc.).
current AI architectures are building perfect retrieval systems when they should be building biased, lossy, emotionally contextualized memory that degrades and transforms. we need emotional weighting mechanisms that make memory actually useful for decision making.