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Edition of Thursday, April 16, 2026

3 stories

Janhavi Jain Maps Seven Shifts Driven by India's Quick Commerce Boom

Janhavi Jain, building SKIPD, outlines seven ways India's quick commerce market, valued at $5.4B and led by Blinkit, Zepto and Instamart, has changed buying behavior. Points include late-night buying peaks, trial-size purchases, weakening brand loyalty, and quick commerce becoming an ad business.

Original post · 2 min read
Quick commerce is a $5.4B market in India growing at 70-80% CAGR. Blinkit, Zepto, Instamart collectively do 4M+ orders a day. But the interesting story isn’t the business.

It’s what it did to how Indians buy things. 7 shifts nobody saw coming.

1/ 73% of q-com orders happen outside traditional shopping hours. 10pm-1am is now peak for ice cream, condoms, skincare, snacking. Three years ago this buying window didn’t exist. An entirely new consumption slot was invented and nobody’s talking about it.

2/ ₹149 mini sunscreen outsells ₹599 full size on Blinkit. The full bottle is a commitment. The mini is a maybe. Consumers are treating q-com like a sample store. Brands without trial SKUs are invisible.

3/ Brand loyalty disappeared in grocery. Search “atta” on Zepto. 8 brands sorted by delivery time. The one in the nearest dark store wins. Not the one your mom used. For staples, proximity replaced preference. Terrifying if you’re a legacy FMCG brand.

4/ Kirana shops aren’t losing staples. They’re losing the ₹50-200 impulse buy. The chocolate, the chips, the random face mask. The small purchases that used to happen because you were already in the store. That foot traffic is gone and it’s not coming back.

5/ Men started buying skincare. The anonymity of tapping “face wash” on Blinkit vs asking for it at a medical store broke a psychological barrier nobody was talking about. Embarrassment was the barrier all along. Men’s grooming on q-com is growing faster than any other beauty subcategory.

6/ Blinkit and Zepto aren’t delivery companies anymore. They’re media businesses. Blinkit’s ad revenue grew 220% YoY. Both crossed ₹1,000 Cr in annual ad revenue by FY25. Ads are now 15% of Blinkit’s total revenue. If you’re thinking of q-com as just a listing channel, you’re missing the point.

7/ The delivery bar moved for everyone. If Zepto delivers in 10 minutes, why does your D2C site take 5 days? The consumer doesn’t separate “q-com speed” from “normal speed.” Every brand shipping in 3-5 days is now competing against a 10-minute standard they didn’t set and can’t match.

Quick commerce didn’t just create a new delivery channel. It rewired how 50 million Indians think about buying things
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Thread Promotes Polymarket Bot Results and Nassim Taleb Lecture Clip

Thread Promotes Polymarket Bot Results and Nassim Taleb Lecture Clip▶

Dipper_pol shares a short Nassim Taleb video on how trade ordering affects account survival and links to a companion piece on Polymarket bot math. The post is promotional and echoes the same bot-performance claims as the referenced thread.

Original post · 1 min read
Nassim Taleb explains in under 3 minutes why the order of your trades matters more than your win rate

Making $10K then losing $10K is not the same as losing $10K then making $10K - the second one can kill your account

This is why 3 Polymarket bots ran 48,000 trades and didn't blow up once

Watch the lecture. Then read the full math behind $1.3M in 30 days ↓
Ricker @0xRicker
The Math That Made $1M+ for quant Traders in 30 Days — They don't use the same algorithm. They use the same thinking.
Behind every profitable trader is not luck, intuition, or a mysterious black-box AI. There is concrete mathematics.
1. The Math Under the
♥ 1.3K · ⟲ 141 · 👁 318.6KView on X ↗

Promoter Credits Markov Chains for Three Polymarket Bots' Profits

Promoter Credits Markov Chains for Three Polymarket Bots' Profits▶

The post promotes three Polymarket trading wallets it says earned over $1.3 million in 30 days using a Markov-chain-based entry rule, and invites readers to copy them via a Telegram bot. The claims are unverified and the post is largely a referral pitch, with substantial risk of loss.

Original post · 2 min read
A Russian mathematician died in 1922.
His math just made 3 anonymous bots $1,331,821 in 30 days on Polymarket.

Andrey Markov never saw a prediction market.
He built the exact tool to destroy them.

Here's the cheat code ->

The model doesn't predict. It measures.

Two conditions. Both must fire simultaneously:
Δ = p̂ − q ≥ 0.05 -> gap exists p(j*, j*) ≥ 0.87 -> state is stable

If both are true -> position entered.
One function. Runs every minute. 24/7.

Three bots. Three styles. One principle:

polymarket.com/@bonereaper?via=svyatoslav - 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 ->
1,500-2,900 shares, BTC/ETH 1h windows -> 14,339 trades -> $454,834.

polymarket.com/@0xe1d6b51521bd4365769199f392f9… - 0xe1d6b51521bd4365769199f392f9818661bd907c -> dual-mode EV, best single trade +54.6% -> $432,591.

polymarket.com/@0xb27bc932bf8110d8f78e55da7d5f… - 0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82 -> 5 assets, 1 trade per 1.7 min, σ−55% -> $444,396.

The formula behind all three: V_T = V₀ · e^(N · r̄)

At 16,000 trades and 0.034% per trade -> ×240 growth.
Math doesn't care about your conviction.
Only about N.

The edge?
Humans sleep. Markets don't. At 3AM nobody's watching a 5-min BTC window.
The gap widens. The bot enters.

You don't have to build the bot. You just have to follow it.

-> Copy all 3 wallets live, starting from $10: t.me/KreoPolyBravoBot?start=ref-join (Just add the wallets I attached above).

Save this list.
Ricker @0xRicker
The Math That Made $1M+ for quant Traders in 30 Days — They don't use the same algorithm. They use the same thinking.
Behind every profitable trader is not luck, intuition, or a mysterious black-box AI. There is concrete mathematics.
1. The Math Under the
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