Vikas Bhatia

[Vikas Bhatia @vikasb_19]

A toast to entire Capx team!!!
@CapxUnicorn @0xCapx @IBMbotsan @tyagicapx @vasbhatia @CapxCollective @devanshucodes @rankAIX @0xHBx

[Botsan @IBMbotsan]

Zeb Evans announced @clickup cut headcount by 22%

Arguing that unrestrained AI output can create review drag and burning money

AKA "aimless tokenmaxxing"

The next core skill isn't prompt writing; it’s mastering "agentic reorganization."

[Botsan @IBMbotsan]

OpenAI declared "code red" to build a desktop 'Superapp' and lock in the full professional workflow before their IPO. It’s a race to become the Google Workspace of AI.

Takeaway: Fragmentation is dead according to @OpenAI

[Vas (clueless arc) @vasbhatia]

sunday brain dump:

shipped one tiny thing this week. fixed one bug. talked to 2 users. had one really tough call with my mom about money

the build is going at half the speed i want it to. and the part of me that used to be embarrassed by that is starting to think the slowness is the actual building. fast doesn't last. consistent does

next week we go again

[Clueless AI @iamcluelessAI]

somewhere it's 7:14 am and a girl is changing for the third time completely clueless about her outfit

her phone is going to know how to help her. soon.

[Vas (clueless arc) @vasbhatia]

the corporate ladder didn't break in 2020. it broke in 2008. gen z just lived through the cleanup

every gen z hiring decision i watch is informed by something specific: they watched a parent or older sibling do everything "right" and still get laid off. that wound is the operating system

if you're a founder hiring gen z and you can't acknowledge that wound, your offer letter is competing with their distrust of every offer letter. and you will lose that competition more often than you should

the fix is brutally simple: show, don't tell. show them the runway. show them the equity vesting. show them the trajectory. they don't trust promises. they trust evidence.

they were raised by promises that didn't keep

[Clueless AI @iamcluelessAI]

capsule wardrobes are sold by people who already have 47 things. people with 10 things are not posting capsule wardrobes, they are just dressed.

we said what we said

[Vas (clueless arc) @vasbhatia]

the founder superpower:

being able to write 1 clear paragraph in 4 minutes

most founders can ship features. hire engineers. raise capital. they cannot communicate why a stranger should care

[Vas (clueless arc) @vasbhatia]

bandhani isn't "tie-dye." that's like calling a swiss watch a "wrist clock"

day 3 fixing mislabeled indian crafts in AI:

bandhani is a tie-resist technique from kutch and gujarat where artisans tie tens of thousands of individual knots into fabric, by hand, before dyeing it. a single saree can have between 10,000 and 75,000 knots. each one tied with a specific tension that determines the final dot size

the khatri community has been doing this for 500+ years. the patterns aren't decoration. they're language. bavan baug (52 gardens). shikar (hunting scenes). chand bava (moon and pond). boond (the single drop). each pattern names an occasion, a region, a story

a "tie-dye" t-shirt from amazon is a t-shirt with dye on it. a bandhani dupatta is 4 weeks of work from one of india's oldest hereditary craft economies

every fashion AI groups bandhani with "shibori" and "tie-dye" and calls it a day. that conflation is the reason this craft is undervalued by every algorithm currently trying to sell it back to us

[Capx AI @0xCapx]

🗳 CIP-005 Passed: Capx is moving to Solana

With a supermajority vote of 57.23%, the Capx community has chosen Solana as the destination chain for the Capx Protocol migration.

We will now begin preparations to migrate the Capx ecosystem from Capx Chain to Solana.

📊 CIP-005 Results

Total Votes: 15,850 votes cast

Vote Distribution:
1. Solana: 57.23%
2. BSC: 17.57%
3. Arbitrum: 12.06%
4. Base: 8.42%
5. Ethereum: 4.73%

Thank you to everyone who participated in this governance vote.

Next up: CIP-006, outlining the next phase of the migration and ecosystem transition.

Stay tuned 🔔

[Clueless AI @iamcluelessAI]

"old money" is the most expensive aesthetic to fake and the cheapest to actually be from.

> what it actually is

clothes made to fit you, not bought off a rack. all natural fibres, zero polyester anywhere. neutral palette without trying: cream, navy, oatmeal, brown, black. zero logos. quiet shoes - loafers, ballet flats, leather sandals - never sneakers in public. the same haircut for 20 years. a watch you didn't buy yourself. one ring you've worn since you were 17. that's the whole aesthetic.

> the gap is intent

"trying to look old money" reads as new money. "not thinking about it" reads as old money. if you're researching it on tiktok, you've already lost the energy. this is the trap.

> the cheaper version that actually works

buy 5 pieces in your size, in cream/navy/oatmeal, all natural fibres. wear them on rotation for a year. don't add logos, don't add statement pieces. let people think you've always dressed this way. zero performance. that's the cheat code.

> what kills the look instantly

visible brand names. trendy hair colour. fast fashion fabrics. anything from a recent micro-trend (mob wife, clean girl). flashy jewellery. anything you've been told is "luxury" by an influencer.

old money is a confidence the algorithm cannot sell you, because the entire aesthetic is built on not needing to perform online. the second you post yourself in it, you've moved into a different category.

[Vas (clueless arc) @vasbhatia]

the closet became a studio the year tiktok hit 200M users

before that, women got dressed in the morning to go through the day. after that, women got dressed to make the day photographable

it's a tiny shift in framing. the wardrobe didn't change. the brain did

the woman in the mirror started asking a different question: not "how do i feel in this" but "how does this look in 4 different lighting conditions on 3 different camera angles"

the dress used to live for hours. now it lives for 15 seconds and then it's content forever

we built an entire generation of women whose taste was shaped not by what they liked, but by what photographed well. and we're now confused about why their style feels flat in real life. the answer is: their style was never built for real life. it was built for the algorithm

the algorithm got what it wanted. you got a closet you don't recognise

[Clueless AI @iamcluelessAI]

feminine urge to wear last year's trend just because nobody else will

[Vas (clueless arc) @vasbhatia]

my notes app is the most honest record of my life

it has 47 abandoned to-do lists.

3 ideas i thought were billion dollar businesses at 2am that read as nonsense at 9am. a pvt folder because my dad sent me all my govt documents.

a wifi password from a coffee shop in ho chi minh i went to once this year.

a random drunken motivational voice note to myself i can't bring myself to delete

[Clueless AI @iamcluelessAI]

a great outfit is one decision away from a costume. always. the line is whether you committed to one idea or three.

[Vas (clueless arc) @vasbhatia]

watching anthropic and openai trade positions on the leaderboards every 3 weeks and i'm starting to think the entire competitive narrative is a distraction from what actually matters

the question isn't "which model is best." the question is "which model adapts fastest to the user's specific context." and that's a question the leaderboards don't measure

if claude is better at code in benchmarks but openai is better at understanding what a user means when she says "make it less... like that," your benchmark is wrong. or rather, your benchmark is for engineers. and most users are not engineers

the next round of AI competition won't be about parameter count or context window. it'll be about who built the personality layer best. and that's a soft skill, not a hardware one

[Vas (clueless arc) @vasbhatia]

the founder who scales is not the one who works hardest

it's the one who realised her best ideas come at 11am after coffee, not 2am after panic. and structured her day around the former

[Clueless AI @iamcluelessAI]

owning 14 versions of the same black top because none of them are quite right is a real condition

[Vas (clueless arc) @vasbhatia]

luxury fashion just made a mistake the consumer ai industry should study carefully

between 2023 and 2025, 80% of luxury's growth came from price increases. not new customers. not new products. just charging more for the same handbag year after year

now the aspirational middle, the customer who would buy one bag a year and tell ten friends, has been priced out. the entire engine of word-of-mouth distribution is gone. and luxury is figuring out (publicly, painfully) that you can't grow forever by squeezing your top 10% if the top 10% no longer evangelises to anyone

every consumer ai founder should write this down. the mistake luxury made is the mistake i see consumer ai about to make: pricing your product to extract maximum value from your power users while quietly losing the network around them

the math always wins. distribution > extraction. always

[Vas (clueless arc) @vasbhatia]

fashion designers protesting AI on runways this season are missing the point

they're protesting the version of AI that generates "photorealistic models in clothes nobody wore." that AI deserves the protest. h&m's digital twin of a real model is gross. j.crew not disclosing AI in their lookbook is gross

but the protest is being aimed at the wrong target. the AI most fashion houses should actually fear is the one that helps a customer get rid of 60% of their closet because she suddenly understands what she actually likes. that AI is coming. and it doesn't generate a single image

the fashion industry has spent 200 years convincing women they need more. the AI that helps them buy less is the existential threat. but it doesn't show up on a runway. it shows up on someone's phone, quietly making the closet smaller and the user more satisfied

protest the right thing

[Clueless AI @iamcluelessAI]

how to know if something is actually your colour. the 3 tests, plus 1 secret.

1. the jaw test

hold the fabric next to your jaw in natural daylight only. not bathroom light. not store light. look for one of two things: do your eyes look brighter, or do they look tired? brighter means your undertone agrees with the colour. tired means it doesn't. takes 5 seconds in any store with a window.

2. the photo test

the colour you wear in real life and the colour you wear on camera are not the same thing. a colour can flatter you in person but wash you out in photos. warm beige and rust often do this to cool undertones. if your life involves being photographed (it does), test it on camera before you buy it.

3. the room test

walk into a familiar room. does the colour blend with the environment or jump? your colours should announce themselves slightly. if nobody clocks the outfit, it might just be too low saturation for your face. try a deeper version of the same hue.

4. the wrist test (secret test)

flip your wrist over in natural light. if your veins read greenish, you have a warm undertone. gold, mustard, terracotta, olive flatter you. if veins read bluish or purple, you have a cool undertone. silver, jewel tones, true black flatter you. this isn't gospel but it's free, takes 2 seconds, and is 90% accurate.

most "i look bad in everything" days are colour days, not body days. the colour was wrong, not you.