Mayank Nagpal ⭐️ EPYC

979 posts

Mayank Nagpal ⭐️ EPYC banner
Mayank Nagpal ⭐️ EPYC

Mayank Nagpal ⭐️ EPYC

@nocodeguy

Practical AI for Leaders. Design Partner for Startups & Enterprises @teamepyc · Upekkha AI Accelerator Mentor @ Inc42 · MICA · Masters' Union

Internet Katılım Nisan 2018
657 Takip Edilen593 Takipçiler
Mayank Nagpal ⭐️ EPYC retweetledi
@levelsio
@levelsio@levelsio·
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! x.com/marmaduke091/s…
English
222
295
4.3K
885.8K
Mayank Nagpal ⭐️ EPYC
Mayank Nagpal ⭐️ EPYC@nocodeguy·
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
English
2
0
4
98
Mayank Nagpal ⭐️ EPYC retweetledi
Wise
Wise@trikcode·
the generation that refused to accept cookies. is now giving AI access to their desktops, files, and bank accounts.
English
342
1.9K
14.8K
320.8K
Mayank Nagpal ⭐️ EPYC retweetledi
Lenny Rachitsky
Lenny Rachitsky@lennysan·
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: youtube.com/watch?v=eh8bcB…
YouTube video
YouTube
Lenny Rachitsky@lennysan

Design lead for Claude: The classic design process is dead. Here's what's replacing it. Jenny Wen (@jenny_wen) leads design for Claude at @AnthropicAI, was previously director of design at @Figma, and a designer at @Dropbox, @Square, and @Shopify. In our in-depth conversation, we discuss: 🔸 Why the classic discovery → mock → iterate design process is becoming obsolete 🔸 What a day in the life of a designer at Anthropic looks like, including her AI tool stack 🔸 Whether AI will eventually surpass humans in taste and judgment 🔸 Why Jenny left a director role at Figma to return to IC work 🔸 The three archetypes Jenny is hiring for now This conversation changed how I think about the future of design. Listen now 👇 youtu.be/eh8bcBIAAFo

English
49
122
1.4K
430.2K
Mayank Nagpal ⭐️ EPYC retweetledi
Quentin Romero Lauro
Quentin Romero Lauro@Qromerolauro·
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.
English
150
123
2.6K
249.1K
Mayank Nagpal ⭐️ EPYC retweetledi
Rahul Bhadoriya
Rahul Bhadoriya@rahulbhadoriiya·
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.
Rahul Bhadoriya tweet mediaRahul Bhadoriya tweet media
English
5
4
50
4.5K
Mayank Nagpal ⭐️ EPYC retweetledi
@levelsio
@levelsio@levelsio·
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
@levelsio tweet media
Pierre de Wulf@PierreDeWulf

If I’m being honest, 70% of ScrapingBee’s success came down to just picking the web scraping API niche. Talent matters. But market matters more. My heuristic for this is to never build in an industry where the market leader is making less than ~200m$/year. It was the case with web scraping. But it was pure luck.

English
116
195
3.2K
488.7K
Sumaiya
Sumaiya@SumaiyaSsa·
Thank you everyone for 2.5k followers!🫶🏻 I’m giving away one of my best web designs, “Memix” which brought me 30+ leads. Comment "Memix" below this post to get the figma file🥳. Retweets are appreciated (Must follow me so that I can DM)
Sumaiya tweet media
English
331
79
1K
64.5K
Build with Adi 💯
Build with Adi 💯@buildwithadi·
Had an "epyc" chat with @nocodeguy from @teamEPYC! Folks are building premium stuff with a clear cut clarity on what the future holds. 1.5 hours flew by in a jiffy!
Build with Adi 💯 tweet media
English
1
1
7
362
Mayank Nagpal ⭐️ EPYC retweetledi
teknosaur
teknosaur@theteknosaur·
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.
teknosaur tweet media
signüll@signulll

ai memory that just logs your inputs will always feel uncanny unless it observes passively. most of the important memories aren’t declared, they’re revealed through your actions & behavior. & they are also often subconscious. this is the most interesting & important problem in ai.

English
114
331
3.7K
377.3K
Alex Lieberman
Alex Lieberman@businessbarista·
The best AI tools & tactics are stuck in private chats and buried Slack threads. So I'm spinning up a few WhatsApp groups for folks who are actively using AI in their day-to-day. First is an AI group for ceos/founders. Second is an AI group for engineers & engineering leaders. Third is an AI group for marketers & marketing leaders. No sales pitches. Just smart people sharing how they’re using AI to move faster, do more, and stay ahead. If you want to join one of these groups, reply with "ai" and I’ll DM you an invite.
English
1.6K
41
668
180.4K
Mayank Nagpal ⭐️ EPYC retweetledi
Ethan Hays
Ethan Hays@ethanhays·
Cloudflare CEO @eastdakota is having the most honest conversations I've come across about the current & future of content creation "6 months ago, 75% of queries to Google get answered on Google. Which means if you're an original content creator, your content is getting summarized & sold (they still put ads there), but you don't get that traffic. And that's the good news. It used to be that for every 2 pages G scraped, you would expect 1 visitor. 6 months ago that deteriorated to 6 pages scraped to get 1 visitor. Today the traffic ratio is: for every 18 pages Google scrapes, you get 1 visitor. What changed? AI Overviews If the business model of the web has been search, fundamentally, for the last 35 years. You get value by subscriptions, ads, or fame. All 3 of those things are going away, and they are going away fast. And that's STILL the good news. What's the ration for OpenAI? 6 months ago it was 250:1. Today it's 1,500:1. What's changed? People trust the AI more, so they're not reading original content. People aren't following the footnotes. So if you believe the business model of original content creation is driving people to that content... I just have a really bad story for you. The future of the web is going to be people reading the summaries of content, not the original. What I'm worried about is - if you can't sell subscriptions or monetize ads or get the ego boost from people reading your stuff, why anyone is going to create content?"
Carl Hendy@carlhendy

If you’re in media, this is worth a watch. Cloudflare handles ≈20% of global traffic, so when CEO Matthew Prince warns at Cannes that AI bots are reshaping the web, publishers need to adapt or risk being left behind.

English
118
762
4.1K
944.1K