A fortnight ago I posted a measurement of the Indian serum shelf: 13 D2C brands, ₹159 crore a year on Amazon. That shelf belongs to Indian D2C almost entirely.

So I assumed baby skincare would look similar. Same buyer, adjacent aisle, and every D2C brand in the country seems to have a baby range now.

It does not look similar at all.

I took three searches Amazon actually merchandises, baby lotion, baby massage oil and baby cream, three pages each, and harvested 421 distinct organic products. I then opened the 80 highest-revenue ones individually to confirm each brand from Amazon's own "Visit the … Store" link and read the MRP and the price per 100ml, which search pages do not publish. Those 80 products are 92.5% of the measured revenue.

Here is what came back.

The shelf is worth ₹97.9 crore a year. Indian D2C has 9.8% of it.

Who owns it	Brands	₹cr/yr	Share
Dermatology / pharma	4	47.1	48.0%
Multinational consumer	5	24.2	24.7%
Indian large-cap & gear	5	14.1	14.4%
Indian D2C	7	9.6	9.8%
Unclassified	4	3.1	3.1%
Total	25	97.9	100%

Cetaphil, Aveeno and Sebamed take 58.5% between them. Add Atogla and Venusia, both pharmaceutical brands (Torrent and Dr. Reddy's), and dermatology alone is 48%.

Mamaearth, the largest listed D2C beauty company in India, holds 0.8% of this shelf.

The full shelf

Indian D2C brands in bold.

#	Brand	Owner	₹cr/yr	Units/mo	Med. disc	₹/100ml	Rating
1	Cetaphil	pharma	21.44	24,400	10%	332	4.44
2	Aveeno	MNC	20.04	18,300	23%	456	4.46
3	Sebamed	pharma	15.77	25,400	16%	502	4.49
4	Himalaya	Indian	9.83	25,600	26%	82	4.36
5	ATOGLA	pharma	7.21	9,000	4%	304	4.50
6	Mamansh	Indian D2C	3.32	5,900	20%	199	4.33
7	VENUSIA	pharma	2.64	4,000	12%	285	4.45
8	Parachute Advansed	Indian	2.50	7,000	26%	90	4.33
9	B4 Nappi Cream	unclassified	1.78	5,000	4%	396	4.50
10	Mother Sparsh	Indian D2C	1.74	5,900	46%	68	4.30
11	Johnson's Baby	MNC	1.66	5,000	40%	80	4.40
12	Baby Forest	Indian D2C	1.57	1,600	8%	460	4.45
13	Mustela	MNC	1.24	1,300	29%	500	4.50
14	Baby Dove	MNC	0.92	4,000	45%	48	4.40
15	Little Rituals	Indian D2C	0.92	1,200	20%	369	4.60
16	TuCo	Indian D2C	0.85	3,000	19%	250	4.15
17	Mamaearth	Indian D2C	0.78	1,900	23%	85	4.25
18	Dabur	Indian	0.72	1,800	20%	116	4.35
19	LuvLap	Indian	0.71	3,000	55%	28	4.30
20	Eight Roots	unclassified	0.54	500	10%	899	4.20
21	Figaro Baby	unclassified	0.52	2,000	42%	108	4.30
22	Root and Soil	Indian D2C	0.39	900	3%	1436	4.60
23	Mee Mee	Indian	0.31	1,000	26%	64	4.30
24	Chicco	MNC	0.30	1,000	16%	126	4.40
25	Daffy	unclassified	0.24	400	17%	250	4.50

The number that explains the shelf

Look at rows 3 and 4.

Brand	Units/mo	₹/100ml	₹cr/yr
Himalaya	25,600	82	9.83
Sebamed	25,400	502	15.77

Almost identical volume. Six times the price per unit. Sebamed earns 60% more revenue from 200 fewer units a month.

That is not a pricing accident, it is the whole category in one comparison. On a shelf where the buyer is a new parent, the brand that reads as clinical can charge six times the brand that reads as herbal, and lose nothing in volume.

I cannot measure why from listings alone, so treat this as inference rather than data: the recommendation happens in a paediatrician's room, not on Instagram. That is a channel a D2C playbook is not built for, and it is invisible in every metric we normally track.

The price spread is 51x

Brand	₹/100ml	Units/mo	₹cr/yr
LuvLap	28	3,000	0.71
Baby Dove	48	4,000	0.92
Mee Mee	64	1,000	0.31
Mother Sparsh	68	5,900	1.74
…	…	…	…
Mustela	500	1,300	1.24
Sebamed	502	25,400	15.77
Eight Roots	899	500	0.54
Root and Soil	1436	900	0.39

The cheapest brand on the shelf is not winning, and neither is the dearest. The revenue sits with brands priced ₹300 to ₹500 per 100ml that a parent has heard of from someone they trust.

Who is holding price, and who is buying volume

Median discount, not the deepest single cut, because one clearance SKU sets a maximum that describes nothing.

Holding price	Med. disc	Cutting hardest	Med. disc
Root and Soil	3%		LuvLap
ATOGLA	4%		Mother Sparsh
B4 Nappi Cream	4%		Baby Dove
Baby Forest	8%		Johnson's Baby
Cetaphil	10%		Figaro Baby

Two things stand out.

Johnson's Baby is discounting at 40% and holds 1.7% of the shelf. For decades that brand was Indian baby care. Baby Dove, at 45% off, holds 0.9%. Legacy distribution and a discount are not defending these positions.

A 46% median discount is not a promotion, it is the price. The MRP exists to make it look like a saving. That is a fine strategy until somebody does it harder than you.

What this is not

Being straight about the limits, because the headline number is the kind of thing people quote.

• GMV, not revenue. What buyers pay before Amazon's commission, fulfilment and returns. No brand receives this number.
• A floor, twice over. Amazon publishes velocity in bands, so "10K+ bought" counts as exactly 10,000, and any product with no published figure counts as zero.
• The visible shelf, not every SKU. This measures what Amazon surfaces for three searches. It is deliberately not comparable with the serum figure above, which came from crawling complete brand catalogues. Both understate, differently.
• Amazon only. Baby care sells heavily through pharmacies, general trade and quick commerce. For the dermatology brands especially, the offline share is probably large, which means their real lead is bigger than this table shows.
• Ownership is hand-classified. Whether a brand is pharma, multinational or D2C is a fact about the company, not something a product page publishes.
• One shelf, one day. 17 August 2026. Every figure is reproducible from the same public pages. If you think one is wrong I would genuinely like to know which.

What I would take from it

If you are planning a baby range because you already sell skincare: the shelf you are entering is held by brands a paediatrician recommends, at ₹300 to ₹500 per 100ml, and the incumbent you would displace is not Mamaearth at 0.8%, it is Cetaphil at 21.9%.

More generally, and this is the part I got wrong: a category next door to one you win can be held by an entirely different kind of company. Adjacency is about the product. The shelf is about who the buyer trusts. Those are not the same question, and no competitor count will tell them apart.

Happy to run the same measurement on whatever category you are circling. Comment it and I will post what comes back, including when it comes back boring.

I measure Indian D2C shelves. Every competitor in your category, every product they sell, what it costs, what it earns, what buyers actually say about it, who is advertising against you and on which product. Read from public marketplace data. Delivered as written analysis with the full dataset attached.

Nobody in India sells this to a brand your size. The firms doing adjacent work — DataWeave, Profitero — are enterprise retail-intelligence platforms quoting custom to Unilever-scale buyers. Brand-mention tools like Brand24 and Mention count who said your name, which is not the same question. Nobody hands a ₹5-crore D2C operator a measured number for their own shelf. I looked for it, could not find it, and built it.

What I have measured

Two complete shelves. Not samples, not storefront front pages — every product page for every brand.

- Serums and actives — 13 brands, 637 products, ₹159.0 crore annualised GMV.

- Ayurvedic face care — 12 brands, 911 products, ₹98.4 crore.

For each of those 1,548 products: price, MRP, discount, price per 100ml, star rating, review count, stock, seller, and Amazon's own published "bought in past month" figure. That last field is what turns a scrape into money.

Six things it shows about a brand that the brand cannot see about itself

1. Whether your range pays for itself. Dot & Key earns ₹50.6 crore from 65 products — ₹0.78 crore each. Fixderma earns ₹10.8 crore from 85 products — ₹0.13 crore each. Six times the revenue per product on a smaller range. Khadi Natural runs 128 products at ₹0.03 crore apiece. No internal review frames it this way, because internally every SKU has a champion.

2. Whether your discount is a promotion or your actual price. Median, not deepest — one clearance SKU sets a maximum that describes nothing. Conscious Chemist's median product sits at 42% off against a shelf median of 17%. Deconstruct holds at 9% and earns three times their GMV. At 42%, the MRP is decoration and the discount is your price. Fine, until somebody does it harder than you.

3. What you realise per unit, not per sticker. Everything normalises to ₹ per 100ml. One product sitting mid-market on the shelf turned out to be 3.6× dearer per unit than the brand's own cheapest line. Upward too: Himalaya moves 67,650 units a month for ₹16.8 crore a year; Soulflower moves 38,600 for ₹14.3 crore — roughly ₹309 realised per unit against ₹207. Nearly the same revenue, 43% fewer units. Volume and value are different games and the leaderboard hides which one you are in.

4. What buyers say about your hero product, counted. Amazon publishes theme counts over the entire review corpus. Aqualogica's Glow+ sunscreen: "white cast", 416 mentions across 20,599 ratings. The most-discussed negative on their best product, and every shopper sees it before they buy. You can read your own reviews. You cannot read your competitors' at that scale, and unmet demand is written down there in the customer's own words.

5. Whether your reach converts. Dr. Sheth's has 337,000 Instagram followers, second on the shelf. On measured GMV they are eighth of thirteen. That gap is a channel-mix story or a conversion problem, and it is invisible if you only look at one of the two numbers — which is what most brands do, because the two live in different tools owned by different people.

6. Who is spending against you, on what, this week. Nine of ten serum brands were running live Meta campaigns. Per ad I get full copy, CTA, channel mix, gender targeting and the landing URL - so I can name the product a competitor is funding. Suganda was the only brand running nothing. An ad ramp precedes a revenue ramp and raises your acquisition cost in a shared auction before it reaches your dashboard as a bad week.

Every applicable analysis is included at every level. I price coverage and cadence, never features — once a category is measured, running twenty analyses instead of five costs me almost nothing, so you never choose between insight and budget. Depth is not optional either: Forest Essentials shows 12 products on the front of its store and has 117, and my own first method read the shallow version and produced a conclusion that reversed entirely.

Change tracking — who moved price, who launched, who went out of stock, who listed below your floor — needs a second reading to diff against, so it starts from your second cycle, not day one. I would rather say that now than sell a dashboard that sits empty for a fortnight. A one-day test found eight material price moves across 63 products, so weekly may prove too coarse rather than too frequent.

Coverage: India in full depth, UAE and Saudi confirmed on Amazon, beauty and personal care deepest but food, wellness and apparel all verified. I need no brand list from you — I walk the marketplace's own structure and your competitor set arrives ranked by demand.

The free step, which is the useful one

Tell me your category and I will run a coverage assessment: which competitors I can actually observe, which fields come back populated for them specifically, and precisely what I would be able to tell you. Costs nothing, useful whether or not you go further. I run it before quoting anyone, because global coverage is irrelevant — what matters is your own thirteen competitors.

Brand and category managers, founders already on a shelf, agencies carrying five to fifteen clients, performance marketers, marketplace category managers, investors doing diligence: comment or DM the category.

And the old offer stands — if you want the measurement and none of the rest, comment a niche and I will run it free and post what comes back, including when it comes back boring.

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I build impuls8, which maps 3,500+ Indian D2C brands across 400+ micro-niches. Not dropping a link — comment or DM a category and I will run it.

Two things I have posted here before. First, that 233 of the 411 Indian D2C micro-niches I map come back with three brands or fewer. Second, that the brands already standing on those shelves have a median founding year of 2016, so "empty" and "new" are not the same thing.

Someone in the comments on that second post asked the question I should have asked myself: fine, but how much money is actually on one of these shelves? Is a shelf with three brands on it worth fighting for at all?

I did not have an answer. So I went and measured one properly.

I took serums and actives — one micro-niche, 13 live Indian D2C brands — and read every product each of them sells on Amazon. Not a sample. The full catalogue for each brand: 637 products. For every one of them I have the price, the MRP, the discount, the price per 100ml, the star rating, the review count, and Amazon's own published "bought in past month" figure.

Here is what came back.

The shelf is worth about ₹147 crore a year. On Amazon alone.

That is 361,650 units a month across 637 products from 13 brands. It is a floor, not a ceiling — I will get to why at the bottom.

I expected a fairly flat distribution. Thirteen brands, a few leaders, a long middle. That is not what it looks like.

- Dot & Key — ₹50.6 crore** (65 products)

- Chemist at Play — ₹42.9 crore** (115 products)

- Deconstruct — ₹22.1 crore** (35 products)

- Conscious Chemist — ₹7.0 crore (58 products)

- Fixderma — ₹6.2 crore (85 products)

- Aqualogica — ₹5.4 crore (56 products)

- indē wild — ₹5.1 crore (22 products)

- Earth Rhythm — ₹3.0 crore (59 products)

- Dr. Sheth's — ₹2.1 crore (35 products)

- LuxaDerme — ₹1.9 crore (22 products)

- Suganda — ₹0.8 crore (21 products)

- SkinQ — ₹0.4 crore (29 products)

- Mintree — under ₹0.1 crore (35 products)

Three brands take 78% of the money. Two of them take 63%. The remaining ten split ₹31.9 crore between them — and four of those ten are doing under ₹2 crore a year on this channel.

So the answer to the comment is: yes, there is real money on the shelf, and no, it is not distributed anything like the brand count suggests. Counting competitors told me 13. Counting revenue tells me 3.

Discounting splits the shelf cleanly

The other thing that shows up immediately is pricing posture, because I have the MRP next to the selling price on every product.

Some brands hold a narrow band — a few points either side, consistently, across the whole range. Others run bands that reach past 45%, and a couple go past 60%. When the band is that wide the sticker price is not really the price. The promotion is the price, and the MRP exists to make the promotion look like something.

Both are strategies. Only one of them survives somebody doing it harder than you.

Review counts are cumulative — they measure everything a brand has ever sold. Units-per-month measures what is moving now. Divide one by the other and you get something useful.

On this shelf Aqualogica has banked more reviews than several brands above it in the revenue table, on a fraction of their current monthly volume. That is a brand that was big. A brand with the opposite ratio is a brand becoming big. A competitor count cannot see the difference and neither can a review count on its own.

What this is and is not

Being straight about the limits, because the headline number is the kind of thing people quote.

- It is Amazon only. Several of these brands sell more through their own websites, Nykaa, Myntra and quick commerce. I am not counting any of that.

- It is GMV, not revenue. It is what buyers pay before Amazon's commission, fulfilment and returns. The brand does not see that number.

- It is a floor. Amazon publishes velocity in buckets — "10K+ bought in past month" — and I count that as exactly 10,000. Products with no published velocity contribute zero. Real figures are higher, not lower.

- Review counts had to be de-duplicated. Amazon reports one figure per parent product and repeats it on every size variant — one brand here showed the same 15,430 on six separate listings. Summing raw would have inflated this shelf by 1.8x.

Every number is from public Amazon product pages and is reproducible. If you think one is wrong I would genuinely like to know which.

What I would actually do with this

If you are looking at a niche because it has few brands in it, get the revenue distribution before you commit anything. Three brands on a shelf where the leader does ₹50 crore is a different proposition from three brands splitting ₹4 crore, and the competitor count reads identically in both cases.

And if you are already on a shelf: your position against the leader matters less than the shape of the tail. Ten brands sharing 22% of a category is not ten competitors. It is ten brands that have not worked out how to grow, and one of them is going to.

Tell me the niche you are circling and I will run the same measurement on it — brand count, revenue distribution, price bands, discount posture. Including if it comes back as a shelf worth ₹4 crore with nobody on it worth beating. That offer is genuine and it is free; I have done it in these threads before and I will keep doing it.

Since a few people have asked whether this is a hobby

It is not, and I would rather say so plainly than have it come out sideways later.

I have been building this into something teams can buy, and I am opening it up properly this week. What it is: I take one shelf — your category, however you define it — and measure the whole thing. Every competitor, every product they sell, price against MRP, discount posture, price per 100ml, ratings, review themes, and what is actually moving. Then I keep measuring it, so you get the changes rather than a snapshot: who dropped price, who launched, who went out of stock, whose rating just fell, who listed below your floor.

The people who have been asking for it, roughly in order:

- Brand and category managers at D2C brands past their first few crore, who currently do this by opening fifteen competitor tabs on a Friday and giving up by the third.

- Founders of operating brands — not pre-launch, the ones already on the shelf who need to know what moved this week.

- Agencies and consultants carrying five to fifteen clients, doing this manually per client, per month.

- Performance marketers, who want competitor pricing and promotion timing next to their own spend, because a competitor going to −60% explains a bad week better than the creative does.

- Category managers at marketplaces and retailers, who want the shelf mapped independently of what brands tell them.

- Investors doing category diligence, who want the revenue distribution before the pitch deck version of it.

If that is you, comment or DM and tell me the category. I will run the standing measurement on it , and if it is useful we can talk about the ongoing version.

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I build a tool called impuls8 that maps this across 3,500+ Indian D2C brands, 400+ micro-niches and 50,000+ product listings. Not dropping a link in the post, but comment a niche and I will run it.

Last week I posted that 233 of the 411 Indian D2C micro-niches I map come back empty — three brands or fewer holding the whole shelf. A lot of people took that as permission to go. Fair enough, I wrote it that way.

Then someone in the comments asked a question I did not have an answer to: empty of who? Not how many brands are on the shelf. How long they have been standing on it.

So I went and looked at founding years across the catalogue. 3,500+ Indian D2C brands, 50,000+ product listings, 411 micro-niches. I have a founding year for 1,587 of the real brand records. Here is what came back.

- The median brand was founded in 2016. Ten years ago.

- 72% of them predate 2020.** 1,139 of 1,587.

- Only 10.5% were founded in the last three years. 166 brands out of 1,587.

- 325 of them predate the year 2000 entirely.

- Upper quartile is 2020. Meaning three out of four brands you would be competing with were already trading before the pandemic.

I had assumed and I think most people in these threads assume — that Indian D2C is a young market full of recent entrants all figuring it out at the same time. On the shelves I can measure, it is not. It is a market where a small number of brands got there early and have been standing there for a decade.

Put that next to last week's finding and it changes the shape of the decision. The median niche has three brands in it. Those three brands have, on average, been selling into it since 2016. Empty is not the same as new.

Why that distinction actually costs you money

A shelf with three two-year-old brands and a shelf with three ten-year-old brands look identical in a competitor count. They are completely different fights.

The ten-year-old brand has a decade of search history pointing at it, so it owns the query you need. It has retailer relationships — the average brand in my catalogue appears on nine different shelves, and those slots were negotiated over years. It has repeat customers, which is the only cheap acquisition channel that exists. It has made every packaging and shipping and returns mistake already, and priced accordingly.

None of that shows up when you count competitors. All of it shows up in your CAC.

The shelves are not equally old

This is the part I would actually act on. Share of brands founded since 2020, by category, for the categories where I have at least 40 brands with a known year:

- Food & beverage — 33% founded since 2020 (225 brands, median 2017)

- Home & living — 32% (162 brands, median 2016)

- Beauty & skincare — 32% (114 brands, median 2017)

- Health & wellness — 32% (155 brands, median 2017)

- Haircare — 31% (61 brands, median 2017)

- Fashion & apparel — 30% (155 brands, median 2017)

- Sustainable & eco — 28% (43 brands, median 2018)

- Auto accessories — 27% (44 brands, median 2018)

- Baby & kids — 27% (56 brands, median 2016)

- Pets — 25% (57 brands, median 2009)

- Electronics & audio — 23% (43 brands, median 2014)

- Jewellery & accessories — 23% (116 brands, median 2014)

- Makeup & cosmetics — 19% (43 brands, median 2013)

- Footwear — 19% (43 brands, median 2013)

Food and beverage is the churniest shelf in Indian D2C — a third of it has turned over since 2020. Footwear and makeup are the most entrenched: fewer than one in five brands is recent, and the median brand has been trading since 2013.

Pets is the strangest line in the table. Median founding year 2009, which makes it one of the oldest shelves I map, and yet a quarter of it is post-2020. That is an old category taking on new entrants — a barbell, not a wave.

If you are choosing between two niches with similar brand counts, the age mix is the tiebreaker nobody looks at. A 19% shelf means you are the outsider. A 33% shelf means the door is visibly still open.

What I would do with this

Stop treating competitor count as the whole picture. Two numbers, not one: how many brands are on the shelf, and when they got there. Three recent brands is an opening. Three brands that have been there since 2014 is a wall with three people standing in front of it.

And if you are about to enter a category because it looked empty — check the founding years first. It costs you ten minutes and it is the difference between being early and being late to something that already happened.

Tell me the category you are circling and I will paste the actual age mix: brand count, median founding year, and how many of them are post-2020. Including if it comes back as a 2013 shelf

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I am the founder of impuls8, a market intelligence platform that maps this across 3,500+ Indian D2C brands, 400+ micro-niches and 50,000+ product listings, with price bands, retailer footprint, follower reach, search momentum and founding-year mix. Not dropping a link in the post, but comment a category and I will run it.

I run a tool that tracks Indian D2C brands, and one part of it walks the shelf: every product I can find for a brand, and every retailer carrying it. I went in expecting a boring answer. Amazon, maybe Flipkart, the brand's own site, done. I have said exactly that out loud to founders. It is wrong.

Across the 1,574 brands I have product data for, there are 54,863 listings sitting on 5,525 different retailers.

The shape of it:

- The median brand sells on 9 retailers. Not two. Nine.

- 761 brands, just under half, are on 10 or more.

- Only 194 brands, about 1 in 8, sell through a single retailer.

- Amazon carries 1,320 of the 1,574, so 84%. But just 12 brands are Amazon-only. Amazon is the floor, not the strategy.

- 254 brands, roughly 1 in 6, are not on Amazon at all and still hold real distribution elsewhere.

- The top 15 platforms hold 41.9% of all listings. The remaining 58% is spread across a very long tail.

- Exactly half of those 5,525 retailers, 2,764 of them, carry a single listing.

So the mental model most of us carry, one marketplace plus a Shopify store, describes almost nobody. The brand you are about to compete with is on nine shelves while you are planning for two.

Then there is the gap, and it is not where the noise is. Quick commerce has been the loudest story in Indian retail this year. 764 of the 1,574 brands, just under half, appear on Zepto, Blinkit, Instamart, BigBasket or JioMart. Half the field is still not on that shelf at all. Everyone is talking about it. Half are not on it.

Category changes the picture too. Food and beverage brands average 11.1 retailers each, stationery and gifting 11.3, auto accessories 11.3. Home and living sits at 9.6, beauty and skincare at 10.1. If you are entering food, the distribution bar is materially higher than if you are entering home.

1. This is 1,574 brands of the ~3,500 I track, the ones where I have product data. It is a large sample, not the whole map.

2. "Retailer" means any site where I found the product listed. That covers marketplaces, pharmacy portals, aggregators and small resellers. No brand chose all 5,525. Half of those retailers carry exactly one listing, and that is usually a reseller, not a distribution deal. Read the 5,525 as the true fragmentation of Indian retail, not as 5,525 partnerships.

3. Presence is not sales. Nine shelves tells you nothing about volume on any of them. A brand can be listed in nine places and move product in one.

4. A listing can exist without the brand doing anything. Resellers put products up. Some of that footprint is not deliberate.

The takeaway I keep landing on: distribution is the part founders underplan and incumbents quietly win on. Not the product, not the ads. If the median brand on your shelf is already in nine places, and half the market still has not touched quick commerce, then the map is telling you where the room is, and it is not in a fourteenth skincare serum.

Tell me the category you are circling and I will pull its real footprint: which retailers its brands actually sell through, how deep the median one goes, and which shelf nobody in that niche has claimed. Curious whether nine matches what you are seeing, or whether your category is the exception.

I run a tool that tracks Indian D2C brands, and one of the plainest things it records is Instagram following. I kept meeting founders who talk themselves out of a category because they assume they'd be walking into a fight with giants sitting on millions of followers. So I pulled the actual distribution across the ~1,600 brands where I have follower data. It is not what the ad feed trains you to think.

The numbers:

- The single biggest D2C Instagram account on my list is at Dot and Key at one millionj. Nobody has crossed this number. Not one brand.

- The median brand has 28,150 followers. Half of everyone I track is smaller than that.

- 1 in 4 (405 brands) are above 100k. Roughly 1 in 6 are under 10,000 and still running real businesses.

- Most of the field, 57%, lives in the unglamorous 10,000 to 100,000 band.

- Reach is spread thin. The top 100 accounts hold about 40% of all the follower reach on the list. The other ~1,500 split the remaining 60%. The top 10 are under 6%.

Put simply, Indian D2C is not winner-take-all on attention. There is no Nykaa-of-every-niche sitting on five million followers crushing newcomers. The biggest accounts are under a million, and inside any given niche the brand you're actually up against is far likelier to have 28k followers than 280k.

The thing standing between you and a category is almost never "I could never build the following they have." In most niches the incumbent is a generalist with a modest following who treats your niche as one SKU. I posted a makhana breakdown two weeks ago where the brand with the most reach on that shelf, Slurrp Farm at 518k, doesn't actually own makhana, it's a side item. That's the pattern nearly everywhere. You don't need to out-reach the incumbent. You need to out-specific them.

The reason to walk away from a category should be that the demand isn't there or you can't source it, never that the incumbents are too big to face on Instagram. On that measure, they're smaller than you think.

Tell me the category you're circling and I'll pull its real shape: how many brands are actually on the shelf, how big the biggest one really is, and where the gap sits. Curious whether "the incumbents are smaller than they look" matches what you're seeing on the ground, or whether your niche is the exception.

I run a tool that tracks Indian D2C brands, and part of it watches Google Trends for each brand, so I can see whether interest in a shelf is climbing or fading. Two weeks ago I published a "best makhana brands" piece, same makhana wave the whole ecosystem's been surfing. This week I did the thing I should have done first, and checked the actual search trend before adding to the pile.

Makhana's brand-search momentum is down 23% over the last four weeks versus the four before it, across the 17 brands I track on that shelf. So I went wider and asked one question of the whole map: as a niche gets more crowded, does the demand behind it go up, or down?

It goes down. Here's the shape, across the 194 niches where I have trend data on at least two brands:

- Open shelves (1 to 3 brands): momentum roughly flat, averaging +0.2%

- Mid shelves (4 to 10 brands): averaging -6.5%

- Crowded shelves (11+ brands): averaging -7.7%

The more brands have piled onto a shelf, the more its search interest is fading, not building. And the most crowded, most-hyped shelves are the clearest cases:

- Makhana: 17 brands, -23%

- Herbal supplements: 12 brands, -33%

- Dog food (dry): 11 brands, -33%

- Foundation and concealer: 12 brands, -18%

- Men's face skincare: 11 brands, -11%

- Ayurvedic face care: 24 brands (the single most crowded shelf I track), -8%

- Protein bars: 19 brands, -7%

Every one of those is a category you've seen a dozen "we're launching in" posts about. The brands showed up. The search interest is walking the other way.

Now the honest part, because a clean pattern with no caveats is just a chart with an agenda.

Three things I want to be straight about, because they're the first things I'd attack if someone else posted this:

1. This is search interest in the BRAND NAMES on each shelf, not raw category demand. It's a proxy for "is this niche heating up or cooling down," and a decent one, but it is not "nobody wants makhana." Plenty of people do. The signal is direction of attention, not size of market.

2. The whole market skews slightly negative in this window, brand-name search is seasonal and most shelves dipped. So the finding is NOT "empty niches are booming." Open shelves are holding flat, not exploding. The real result is the gap: crowded shelves are cooling roughly 8 points faster than open ones hold.

3. I deliberately did not build this on the "rising empty niche" list, because that list is noise. The top result was a 2-brand niche up 270% off a single brand's spike. One brand moving is not a trend. Averages across a shelf are the only honest unit here.

So the takeaway isn't "chase the empty shelves." It's narrower and more useful: crowding and momentum point in opposite directions in Indian D2C right now. The shelf everyone is rushing is a lagging indicator, by the time a niche looks crowded, the attention that made it worth crowding is already leaving. If you're picking a category off "what's hot," you may be reading a wave that already broke. I did exactly that with makhana, which is why this post exists.

Tell me a category you're circling and I'll pull its real shape: how many brands are actually on the shelf, and which way its search momentum is pointing. Curious whether "crowded is a lagging indicator" matches what you're seeing on the ground, or whether I'm over-reading a seasonal dip.

---

I build a tool called impuls8 that maps this across 3,500+ Indian D2C brands, 400+ micro-niches, ~55,000 products, with price bands, search momentum, and what communities are actually asking for. Not dropping a link in the post, but comment a category and I'll run its momentum-vs-crowding read.

Every founder I talk to says the same thing about the category they want to enter: "it's too crowded." I used to say it too. So I decided to actually measure it instead of feeling it.

I run a tool that tracks Indian D2C brands and sorts them into a 3-level map: category (skincare) → subcategory (face care) → micro-niche (serums, sunscreens, scalp clinicals, and so on). I pulled the whole thing and asked one blunt question. At the level a founder actually competes — the micro-niche, not the category — how many brands are really there?

Here's the distribution across the 411 micro-niches I've mapped brands into (chart attached):

- 88 niches have exactly 1 brand

- 87 have 2

- 52 have 3

- 79 have 4-5

- 75 have 6-10

- 28 have 11-20

- 2 have 21-50

- 0 have more than 50

Add up the top three rows: 227 of 411 niches — more than half — have three brands or fewer. And the single most crowded micro-niche in the entire Indian D2C market, gold jewellery, has 25 brands. Twenty-five. Ayurvedic face care is next at 24, then protein bars and whey at 19 each. That's the ceiling. Only 30 niches out of 411 have more than ten brands in them at all.

Sit with that for a second. The most contested shelf in all of Indian D2C has 25 players. The thing everyone calls "crowded" tops out at a number you could list on one screen.

The crowding is a category-level illusion.

"Skincare is saturated" is true and useless. Skincare-the-category has hundreds of brands. But nobody competes in "skincare." They compete in "vitamin C serum under ₹600" or "sunscreen for oily Indian skin" or "scalp exfoliant." Zoom to that level and the same category that felt like a wall turns into a row of mostly empty shelves with two or three brands each. You weren't late. You were standing in the wrong aisle, reading the crowd for the whole store off one end of it.

Where it gets specific.

Some of the thinnest niches are ones this sub has literally asked for. Lip gloss and lip oil: a category that exploded globally, barely served here. Contour for Indian skin tones: people default to importing Fenty. Meal replacements: one serious D2C name and a lot of imported Huel. These aren't obscure — they're loud, specific, repeated asks sitting next to a nearly empty shelf.

One honest thing, because someone will (rightly) push on it:

An empty shelf is not automatically an opportunity. A niche can have one brand because the demand isn't there, the sourcing is brutal, or the margins collapse at scale. "Nobody's here" and "nobody should be here" look identical on a brand count. And to be straight about the data: "1 brand" means one D2C brand I've mapped into that niche, not a census of every seller on Amazon — my map isn't the whole market, and a couple of those single-brand cells are just niches I haven't finished sorting. The point isn't any one row. It's the shape: this market is dramatically less crowded than the category headline makes it feel, and the useful question is never "is this category crowded" but "which specific shelf, at which price, is actually contested — and is anyone asking for what's missing."

The crowding map most founders carry in their head is a category headcount. The one that's actually useful is a micro-niche count, cross-checked against whether demand is real.

Tell me a category you think is "too crowded" and I'll pull its niche-level breakdown — how many brands are really on each shelf, and which shelf beside it is sitting nearly empty. Curious whether the "wrong aisle" framing lands, or whether you've already found this out the hard way.

---

I build a tool called impuls8 that maps this across 3,500+ Indian D2C brands, 400+ micro-niches, ~55,000 products, price bands, search momentum and what communities are actually asking for. Not dropping a link in the post, but comment a category and I'll run its crowding map.

https://preview.redd.it/zlwx9djo1xch1.png?width=1080&format=png&auto=webp&s=4610931859ca01a3fb017e228337dc521cafd818

I track ~3,500 Indian D2C brands and 400+ niches. Every so often a small niche lights up in the data in a way the founders already in it don't seem to have clocked. Roasted makhana (fox nuts) is doing that right now, so I pulled everything we have on it. 17 D2C brands compete in the space. Here's the shape of it.

Nobody with scale actually specializes in makhana.

The biggest reach in the niche belongs to generalist snack players: Slurrp Farm (518K followers, kids-first millet), BeyondSnack (262K, South-Indian snacks), Snackible (208K, broad healthy snacks). For all of them makhana is one SKU in a wide range, not the brand. The brands that are actually makhana-first are tiny by comparison: Phab (31K), Millet Magic (26K), Omay (21K). So the category has no dedicated leader with any real scale. The reach sits with generalists who don't own the word makhana, the specialists haven't broken out yet, and there's no MuscleBlaze-of-makhana a normal shopper names by default. That gap is the whole story.

The momentum is in the challengers, not the incumbents.

Here's the part that should interest a founder. The small, makhana-focused brands are the ones rising in search: Millet Magic +60%, Omay +12%, Phab +11% over the last month. Meanwhile the biggest generalists are flat or sliding in makhana interest, Slurrp Farm down ~9%, Snackible down ~10%. New entrants pulling up while the incumbents drift down is exactly what a niche looks like right before it gets a real leader. And the tailwind under it isn't makhana as a fad, it's the high-protein, low-effort snacking shift lifting the whole shelf. We size the market at roughly ₹120 to 316 Cr and read it as growing.

Now the interesting part, the demand is unusually specific.

Across Indian food and snacking communities, the same three asks come up almost verbatim:

- "High-protein, low-effort Indian snacks." Makhana fits the brief so exactly it barely has to sell itself.

- Clean label, no hidden sugar. This is the trust complaint, and it's blunt. People call out packs where "sugar is the second ingredient now" and say quality "degraded" on mainstream brands.

- "How do I actually use this day to day?" A real slice of demand is just recipes and portion habits. Whoever teaches usage owns the repeat buyer everyone else leaves on the table.

The opening is a makhana brand that's actually about makhana.

The gap here isn't a price point, it's positioning and trust. No one has built the brand that is clean-label, single-origin, no-added-sugar, transparent Bihar sourcing makhana as its whole identity, the exact thing the community keeps asking for. The winning wedge isn't another peri-peri pack. The generalists with reach won't build it, makhana is a side line for them; the specialists haven't nailed it yet. Demand is pulling that direction and supply hasn't caught up.

The catch, because there's always one.

This is a sourcing game, not a marketing game. Fox nuts are grown and hand-processed largely in Bihar, and getting consistent, certifiable quality at a workable order size is genuinely hard, it's the thing that quietly sinks clean-label makhana brands. The market is also modest in absolute size, so this is a focused margin-and-trust play, not a land grab. Lock a reliable co-manufacturer before you spend a rupee on branding. If that's sorted, it's one of the cleaner "go" niches in Indian D2C food right now.

The real point isn't makhana. It's that "17 brands already in it" reads as crowded if you count heads, and reads as wide open the moment you notice nobody with scale actually specializes and the momentum is all in the small challengers. Crowding and opportunity are different questions, and most founders only ask the first one.

---

I build a tool called impuls8 that maps this across ~3,500 Indian D2C brands and 400+ niches, search momentum, pricing, funding, and what communities are actually asking for. Not dropping a link here, but tell me the niche you're circling in the comments and I'll pull its real shape, who's actually moving, and where the gap is. If anyone here is building in snacking, the makhana clean-label lane is genuinely open.

Alongside the search and funding data I usually post, the platform also tracks what these brands actually sell and what it costs. I pulled the current catalogue for a clean look: nearly 55,000 products across 1,574 D2C brands, listed on Amazon, Flipkart, Myntra, Nykaa and dozens of other retailers plus the brands' own stores. Then I asked one question I hadn't before. At what price does Indian D2C actually sell, and is there a price band nobody is standing on?

Turns out there is, and it's the same one in almost every crowded category.

First, the price ladder. It's steeper than people assume.

Median product price, by category, tells you where each shelf really sits. The value floor: personal care ₹293, food and beverage ₹349, makeup ₹410, haircare ₹448, skincare ₹479. Then a big jump to the premium end: fashion ₹1,299, electronics ₹1,399, home ₹1,599, jewellery ₹2,029, footwear ₹2,200, auto accessories ₹2,799. So the "typical" D2C product in beauty costs roughly a sixth of the typical one in footwear. Same D2C label, completely different economics.

Now the part that should bother a founder. In the big categories, everyone is packed onto one shelf.

Take the four most crowded consumer categories by product count. In skincare, 80% of the ~3,900 products sell for under ₹1,000. In haircare it's 86%. In makeup, 84%. In food and beverage, 82%. These aren't ranges, they're pileups. Look at the 90th percentile: in haircare, 9 out of 10 products sell below ₹1,238. In skincare, below ₹1,990. The entire category is compressed into a narrow mass-market band, and almost every new brand launches straight into the middle of it.

And the premium slot right above the crowd is close to empty.

In skincare, only 10% of products sell above ₹2,000. In haircare, only 3% sell above ₹3,000. Contrast that with the categories that DON'T pile up: in footwear 79% of products sell ABOVE ₹1,000, in jewellery 71% do, in auto accessories 75% do. Those shelves are spread across the whole ladder. Beauty, haircare, makeup and food are not, they bunch at the bottom and thin out to almost nothing up top. The premium position in the highest-traffic categories is the least occupied real estate in Indian D2C.

Why this matters more than a niche count.

White space isn't only "a category with few brands." It's also a price point nobody in a crowded category is serving. If you're the 40th skincare brand, you don't have to be the 40th ₹499 serum, you could be one of the few at ₹2,500 the shelf barely has. Same customer, same category proof, a price band with almost no competition. Positioning is a coordinate on this ladder, and most founders pick the exact spot everyone else already stands on.

One honest caveat, because someone will rightly raise it: an empty premium band can mean the willingness to pay isn't there, not that it's a gift. Mass-beauty buyers in India are genuinely price sensitive, and "priced premium" is not the same as "sells premium." An empty shelf can be empty because it's cold. That's exactly what the next layer is for, demand signal and search momentum at that price point, before you commit a rupee. But "everyone is already here, at this exact price" is the worst possible reason to plant your flag there.

TLDR: Indian D2C isn't just crowded by brand, it's crowded by price. In the categories everyone rushes into, the brands are stacked three deep on the cheapest shelf and the premium slot right above them is wide open. The crowding map most people draw is a headcount. The more useful one is a price.

---

I build a tool called impuls8 that maps this across ~3,500 Indian D2C brands, nearly 55,000 products, and 400+ niches, price bands, search momentum, funding, and what communities are actually asking for. Not dropping a link here, but tell me a category in the comments and I'll pull its real price ladder, where the products pile up, and which price band nobody's serving. Curious whether the "crowded by price" framing lands for anyone, or if you're already pricing against it.

A founder reached out last month wanting help positioning a hair growth serum. Good operator, real budget, manufacturer already lined up. He'd seen the numbers everyone sees, hair loss is enormous in India, minoxidil is having a moment, the TAM slides look incredible. He wanted to know how to stand out.

So I pulled everything I have on the space before the call. And by the end of it I was gently arguing him out of the product he walked in with, into the one sitting one step over.

Here's what the data actually said.

The niche he wanted is already full, and the buyers in it aren't even happy.

I track 11 D2C hair growth serum brands. That's a packed niche by Indian D2C standards. But the sharper signal came from the community side. When I scan the Indian haircare subreddits for what people actually ask for, the loudest request under hair growth is, almost word for word, "natural hair growth solutions without minoxidil or finasteride." Eleven brands in the niche, and the top unmet ask is basically "something other than what all of you are selling." You don't win that by being the 12th serum with nicer packaging. That's a formulation and positioning fight the incumbents are already having.

What they're really asking for is one step over, and nobody is there.

The single loudest request in my entire haircare dataset isn't about growth serums at all. It's scalp care. The theme that comes up most, close to verbatim, is "solutions for dry, damaged hair with scalp-specific concerns." Now look at supply. Across the scalp-specific niches I track, scalp care and scalp treatments, there are two brands. Two. Same customer who buys growth serums, same subreddits, same problem language, and essentially nobody has built the brand for it.

That was the whole pitch I made to him. You don't need to invent a new customer. The growth-serum buyer and the scalp-care buyer are the same person, already in the communities, already asking. The category proof is done. You just move one product over from where everyone is standing to where nobody is.

And the momentum backs it.

Even inside the crowded serum niche, the one brand actually gaining search interest right now is Naturali, up about 42% over the last month, and it's the one with a differentiated natural position, not another minoxidil clone. The market is already rewarding the exact thing the community keeps asking for. It's just doing it in a niche that's full, when the same position in scalp care would be close to uncontested.

Zoom out and this is the whole map, not a hair thing.

Of the 411 niches I actively track, 227 have three or fewer brands in them. More than half. Meanwhile everyone piles into the same handful, gold jewellery has 25 brands, ayurvedic face care 24, whey protein 19. The crowding in Indian D2C is wildly lopsided, and the packed niches are packed precisely because they're the obvious ones off a TAM slide. The customer for the empty niche next door usually already exists, because it's the same customer.

One honest caveat, since someone will rightly raise it: an empty niche can be empty because there's no money in it, not just because nobody's noticed. Two brands in scalp care might mean wide open, or it might mean small. That's exactly what the next layer is for, demand signal, search momentum, price points, before you commit a rupee. But "everyone is already here" is the worst possible reason to pick the crowded one.

He's prototyping a scalp care line now. We'll see how it goes. But he walked in about to be the 12th serum, and the data talked him into being roughly the 3rd of something people are actively asking for.

---

If you're weighing a category, this is the move I'd run first: take the crowded niche you're drawn to, look at the niche one step over serving the same customer, and check whether the demand followed the brands or the brands just followed each other. I build a tool that maps exactly this across ~3,500 Indian D2C brands and 400+ niches. Not dropping a link here, but comment a niche you're eyeing and I'll pull what's crowded, what's sitting empty right next to it, and what that customer is actually asking for.

So: name a niche you think is "too crowded," and I'll tell you what's sitting empty right beside it.

Every week an automated pipeline pulls Google Trends, Meta ad activity, and funding data for ~3,500 Indian D2C brands. This week I did something I hadn't before: I lined up three signals people usually look at separately, money raised, ads running, and search momentum, and asked one question. Are the brands with the most money and the loudest advertising the ones consumers are actually pulling toward?

Mostly, no. It's close to the opposite.

The best-funded brands are losing search momentum.

Of the ~3,500 brands, 43 have disclosed funding I could match to a name. Of the 28 with enough search volume to read cleanly, average search interest is DOWN about 6% over the last month, and 22 of the 28 are declining. Renee Cosmetics -33%. BlueStone -17%. Pee Safe -17%. Ultrahuman -14%. Kapiva -8%. Even Lenskart, at 200M dollars plus raised, is flat. A couple buck it (Wooden Street +21%, Furlenco +20%), but the pattern is hard to miss: the capital is not where demand is accelerating.

One honest caveat, because someone will rightly raise it: a big funded brand can be down in search and still growing revenue. Search momentum is not the same as business health. But if you're a founder deciding where to build, "where is fresh consumer demand accelerating" is your question, not "who has the biggest balance sheet." And that answer is somewhere else.

The heaviest advertisers are sliding too.

Only 54 of the 3,478 brands are running Meta ads at all right now, and 46 of those are running heavy loads, dozens of active creatives each. Among the heavy advertisers with real search volume, 12 of 19 are declining in organic interest: Forest Essentials -9%, Yoga Bar -10%, Melorra -8%, CaratLane -3%. They're buying reach, but the underlying pull is soft. The ad spend is propping up attention, not creating demand.

The brands actually gaining are bootstrapped and barely advertising.

This is the part that flips it. Nearly all the double-digit search growth in the data sits in brands with zero ads and no funding I can find. Namhya Foods (functional food) up about 190%. WeHear up about 177%. Namakwali (Himalayan pink salt) up about 125%. Naagin (hot sauce) up about 120%. None advertising, none funded that I can trace. The demand is pulling them, they're not pushing it.

The takeaway: you can't buy demand, you can only catch it or manufacture the appearance of it. Right now the money and the ad budgets in Indian D2C are concentrated in brands where organic pull is flat or fading, while the real momentum sits in small, bootstrapped, under-advertised brands almost nobody is tracking. For a founder that's the whole game: the loudest brands are not the growing ones, and the growing ones are quiet enough that you can still spot them before everyone else does.

---

I build a tool called impuls8 that stitches these three signals together, funding, ad activity, and weekly search momentum, across ~3,500 Indian D2C brands and 400+ niches. Not dropping a link here, but tell me a category in the comments and I'll pull who's gaining, who's advertising into a declining market, and where demand is rising with nobody serving it. Genuinely curious whether this money-vs-momentum gap surprises anyone, or if you're already seeing it.

I read this sub most days, and there's a pattern I can't unsee. A big share of the "I'm building something" posts are engineered to say as little as possible. "Working on a D2C brand in a large underserved category, DM me." "Building something to fix a broken industry, reveal coming soon." "Launching a disruptive wellness startup, AMA." You ask a follow-up and the answer gets even more vague.

I want to be careful here, because I've written posts exactly like that, and the single worst-performing post I ever made was the vaguest one. So this isn't a dunk from above. It's an honest look at what the vagueness usually means, and why it works against the person doing it.

The generous read, and sometimes it's the true one: you're genuinely early and there's nothing to show yet, or you're scared someone will copy the idea. Both are fair.

But here's the version I think is true more often. If you can't describe what you're building specifically, it's usually one of two things. Either you don't actually have a product or a business yet, you have a vibe and a category you like the sound of, which is fine at the start but worth being honest with yourself about. Or the post was never really about the product, it was about the post: the visibility, the karma, the feeling of momentum without the work. Also very human. Also worth catching yourself doing.

On the copying fear specifically, because it's the most common excuse: your idea is not the moat and never was. Ten other people already have it. Execution is the moat, and nobody can copy execution off a Reddit post. So the secrecy protects nothing, and it forfeits the single most valuable thing this place offers, which is specific feedback from people who might actually be your customer.

Watch what vague posts get back. "Cool, good luck." "Sounds interesting, keep us posted." Nothing you can use. Now watch what a specific post gets. "I'd genuinely pay for that." "Have you talked to so-and-so, they need this." "That won't work, here's why." Every one of those is worth more than 200 upvotes, and you only get them if you say the real thing.

Since it's fair to ask why I'd claim any of this, here's the receipt, and I'll be upfront that this post is itself an example of the thing I'm describing.

I've been building a market-intelligence tool for Indian D2C. Early on I posted the way I'm now criticising: "building a data tool for D2C founders, come check it out." It went nowhere. Vague product framing, vague post, vague result.

What actually built a funnel was doing the opposite: instead of describing the tool, I gave away its output, specifically and for free. Real posts with real numbers. That 228 of the 429 niches I track have three or fewer brands in them. The exact sub-Rs400 price tier in face serums that has rising demand and almost nobody serving it. Nail care search interest up around 160% on one brand while everyone assumes the momentum is in skincare. The menopause-support gap that communities keep asking about and no Indian brand really owns. No "DM me to learn more." The insight was the post.

Then I made the CTA specific too: comment your category and I'll pull the actual data for it right here. People did. I replied in the thread with their real numbers, which is a live demo, a genuinely useful thing, and a reason to DM, all at once. Those threads became DMs, the DMs became signups. The vague version got me nothing. The specific version got me customers, and it gave the commenters something worth having whether or not they ever signed up.

The point isn't "do marketing better." It's that specificity is both the generous move and the self-interested one, and vagueness quietly fails at both. And if being specific feels impossible because there genuinely isn't anything concrete yet, that isn't a marketing problem to fix with a cleverer post. It's probably the most useful signal you'll get all month about where your business actually is.

So, modelling my own advice, and yes running the exact funnel I just described out in the open: if you're building something in Indian D2C, tell me specifically what it is and who it's for, and I'll give you something specific back, whatever my data actually shows for your category, which brands are moving, where the price gap is, what people keep asking for. And if you're one of the vague posters, you don't owe me a pitch. I'd just gently suggest, in a reply, try saying the real thing once and see what comes back. I think you'll be surprised how much more useful this place gets.

I'll be honest about something I got wrong. When I started mapping Indian D2C, I assumed one good dataset would answer everything. It doesn't. "Which category should I enter," "is this competitor about to eat my lunch," and "is now the right time" are completely different questions. Same brands underneath, but you have to look at them in completely different ways.

So that one spreadsheet slowly turned into six lenses on the same ~3,500 brands. The fun part is each lens keeps contradicting the thing everyone "knows." Here's the most interesting thing each one caught recently.

1. Who's quietly winning (search momentum).

Forget protein and skincare for a second. The category heating up fastest in my data is nail care. One brand, Kulis, is up about 161% in search interest and sitting near the top of its range. Nail art has been building globally for a while and it's now unmistakable in Indian search data. It's still a thin category, which is exactly when it's worth watching, not after it's obvious.

2. What people are begging for that nobody sells (community signals).

I scan ~11 Indian subreddits and pull what people actually ask for. The loudest unmet request right now is menopause support. Hundreds of threads, a real and growing demographic, and almost no credible Indian D2C brand to point them to. PCOS got crowded, menopause has basically nobody. Same story for affordable dupes of international lip products, pet dental care, and a conditioner for dry damaged hair that actually works and isn't 2k. These read like product briefs written by the customer.

3. Where the price gaps are (pricing).

Across roughly 55,000 product listings with real prices, the price-band view is where the loudest "oh" moments happen. Face serums are a clean example: almost everyone is clustered at ₹600 and up, while the fastest-growing demand in that niche is sub-₹400. A whole price tier with rising pull and nearly nobody in it. You can't fill a gap you can't see.

4. How crowded it actually is (white space).

Everyone's intuition about crowding is off. Of the 429 niches I track, 228 have three or fewer brands. Meanwhile everyone keeps piling into the same handful, gold jewellery (25 brands), ayurvedic face care (24), whey protein (19). Launch there and you're the 20th lookalike fighting on ad spend, while the long tail sits wide open.

5. Who's about to pop (new entrant detection).

About 120 brands are in genuine double-digit search growth right now, and most category teams haven't clocked them yet, because search interest climbs a quarter or two before it shows up in sales anyone can see. Footwear is the surprise here, Bacca Bucci up around 163% in a category that barely registered a year ago. Mostly bootstrapped, organic pull, not ad-funded spikes.

6. What your competitor did this week (the one I use most now).

This is the newest lens and my favourite. Every week an automated pass diffs each brand against the previous week across price, product range, review counts and ad activity, and flags only the material moves. The signal isn't the launch-day sale everyone sees. It's the brand quietly taking its hero SKU down 12 to 18% and just leaving it there, which is a repositioning, not a discount. Or a 20%+ jump in review count in one week, which is the closest free proxy for "they're suddenly selling harder." By the time you'd notice either in your own numbers, it's been weeks.

---

The thing I keep landing on: the answer changes completely depending on which lens you hold up, and almost nobody holds up more than one. People pick a category on crowding alone, or chase momentum without checking if the price tier is even open.

So here's the offer, and I mean it. Drop a category or niche in the comments and I'll run all six lenses on it and reply: who's gaining, where the price gap is, what people are begging for, who's about to pop, and what moved this week. Genuinely happy to, it also helps me find holes in my own data. And if you'd rather poke around yourself, just say so and I'll get you in.

What category should I put through all six?

A while back I started mapping the Indian D2C space because I was tired of picking categories on vibes. A lot of that map got built with communities like this one, the gaps you complain about, the brands you keep recommending, the "why does nobody make X" threads. Honestly Reddit has been more useful than any paid industry report I've seen.

Where it stands now: 3,500+ Indian D2C brands, about 54,900 product listings, and 429 micro-niches across 20 categories, refreshed every week against search demand and what 11 Indian subreddits are actually saying. I've looked hard, and I haven't found anything else that maps Indian D2C this wide or this deep, which is part of why I keep going.

Since giving back means sharing the useful bits, two things that fell out of the data:

- The crowding is lopsided. 228 of the 429 niches I track have three or fewer brands, while everyone keeps piling into the same handful. The most packed niches are gold jewellery (25 brands), ayurvedic face care (24), and whey protein (19). Launch there and you are the 20th lookalike fighting on ad spend.

- The momentum is in the gaps, not the obvious spaces. 120 brands have search interest up more than 15% right now, and almost none of them sit in the crowded niches.

- The gaps that keep showing up in community threads, that nobody really owns yet: affordable dupes of international lip products (gloss, tint, liner), menopause support (PCOS is crowded, menopause has almost nobody), pet dental care (plenty of general pet stores, no one deep on dental), conditioners and hair masks for dry, damaged hair that actually work and do not cost 2k, and sensitive-skin-led brands (the community asks constantly, the default answer is still imported CeraVe).

- Almost none of these are VC-backed. Most are bootstrapped, which means you cannot out-spend your way in. The edge is picking the right space, not the loudest one.

The part people keep DMing me about is funny, because it's the part you built. The two features that get the most love are Community Pulse, which surfaces what communities like this one are actually saying about brands and what people keep asking for, and the momentum tracking, which shows whose search interest and reach is climbing or sliding week over week. Those are where the "oh, I didn't know that" moments come from, which makes sense, since one of them is basically a mirror held up to these threads.

The give-back: I'm adding a Featured Brands section. If you've built something, work on a brand, or just love an Indian D2C brand, drop it in the comments and I'll add it and feature it. Free, no catch. Reddit has been good to us, and this is the simplest way to return the favour and get some good brands in front of more people.

I'm keeping the link out of the post, but I'll put it in a comment, and if you want your category pulled apart or your brand added, just comment or DM me. What's a brand more people should know about? I'll start adding from the top.

Every week an automated pipeline pulls Google Trends, social, and community signals for ~3,500 Indian D2C brands across 400+ niches. The full cycle is now complete, so here's the current cut of what's actually moving, and what's quietly dying.

Makeup is the hottest category right now, and it's nail care driving it.

Makeup and cosmetics leads on momentum: average search interest up about 12% across the 19 brands with real volume. The standout is nail care. Kulis is up 161% and sitting near the top of its range. Nail art has been building internationally for a while and it's now unmistakable in Indian search data. Still a thin category, which is exactly when it's worth watching.

Footwear is the surprise number two.

Average +9% across 23 brands, led by Bacca Bucci at +163%. This is mostly casual and athleisure footwear, bootstrapped brands with organic pull rather than ad-funded spikes. A year ago this category barely registered.

The crowded categories are the ones cooling off.

Beauty and skincare, the single most crowded D2C category in India, is actually negative right now: average -4% across 71 brands, with established names like Dr Sheth's down 34%. Travel and luggage is worse, -10% on average (Timus -35%, Voltebyk -41%). Crowded plus cooling is the worst quadrant to launch into, and it's where a lot of new founders still aim because it "looks proven."

Food and beverage is a split decision.

Up about 3% on average across 99 brands, but that average hides everything. Hot sauce (Naagin +62%), specialty tea and coffee (Glow Glossary +101%), and indulgence/sweets are climbing, while staples are flat to down. The demand we keep seeing in food communities is "healthy, transparent, affordable," and the brands solving for that are the ones moving.

A handful of brands are completely defying their category.

Wrogn is up 73% and near the top of its range while fashion overall is dead flat (+0.8%). Femisafe is up 115% in women's health. BlueStone up 60% in fine jewellery. When a brand accelerates inside a flat category, that's usually a positioning or channel story worth a closer look.

The real takeaway: across 400+ niches, only about 119 brands are in genuine double-digit growth right now. The signal is concentrated. Most of the market is flat, which is exactly why knowing the ~3% that's moving (and the price points and niches with demand but nobody serving them) is the whole game.

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I've been building a tool called impuls8 that tracks all of this: ~3,500 Indian D2C brands, 400+ niches, refreshed weekly. Not dropping a link here, but if you want me to pull a specific category or niche apart in the comments (which brands are gaining, which are sliding, where demand is rising with nobody serving it), happy to do it. Genuinely curious which of these surprises you.

Quick context so this doesn't read like a humblebrag: I run a dataset that tracks around 3,500 Indian D2C brands across 429 niches, and over the last month I ended up on calls with a dozen-odd category managers (marketplaces, a few vertical e-com folks, a couple from quick commerce). I went in expecting to hear about logistics and margins. Instead I kept hearing the same four things, and all of them boil down to "I'm making selection calls half-blind." Sharing because the pattern was too consistent to ignore, and honestly most of it is solvable with data that already exists. It's just scattered across five places and nobody has time to stitch it together every week.

1. "I find out a brand is hot only after it's already on three competitor platforms."

This was the loudest one. By the time a rising brand hits your GMV reports or your buyer's inbox, the window to onboard it on good terms is basically closing. But the signal shows up way earlier somewhere else: a brand's search interest usually climbs a quarter or two before it turns into sales anyone can see. We track Google Trends weekly for every brand, and right now there are 100+ brands with double-digit search growth in the last quarter that most category teams haven't clocked yet. One CM I spoke to now just opens the week's risers every Monday and decides who to chase first.

2. "Half my category is crowded and the other half is empty, and I can't tell which is which."

Across our 429 niches, 228 have three or fewer brands. One category manager in haircare was convinced her space was saturated, until we broke it down by sub-niche and found a handful of segments with climbing demand and almost no sellers. Onboarding targets she'd never have surfaced from the top-down category view. Crowding and whitespace sit right next to each other inside the same category, and the category average hides both.

3. "I genuinely don't know where my price gaps are."

We've got close to 55,000 product listings with prices pulled across retailers, and price-band coverage is where the loudest "oh" moments happen. One CM realised her entire face-serum assortment sat at ₹600 and up, while the fastest-growing demand in that niche was for sub-₹400. A whole price tier with rising pull and zero brands in her catalogue. You can't fill a gap you can't see.

4. "I'm mostly guessing what customers actually want."

The most underused signal is what people literally ask for in communities. We mine consumer conversations across roughly 230 niches, and the recurring unmet requests are gold for a category manager: "fragrance-free for sensitive skin under ₹500," "a minoxidil option that actually explains itself," "a conditioner for dry damaged hair that isn't 2k." Every one of those is a selection brief, or a private-label brief, written by the customer.

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None of this is clever. The signals (search momentum, pricing, community demand, who's actually growing versus just advertising) just live in five different tabs, and no one on a category team has time to pull them together every Monday. So I built something that does, focused on the Indian D2C market specifically.

Not dropping a link because I'm not here to pitch. But if you're a category manager or a founder and want me to take apart your specific category (which sub-niches are heating up, where your price gaps are, which brands are about to pop), happy to do it in the comments or over DM. Mostly I want to know whether these four blind spots are universal or just the sample I happened to talk to.

Last year a client came to me about a month away from launching a D2C brand. Whey protein. It felt obvious to them. Big market, easy to start, everyone's doing it.

Before they put money in, I decided to actually map the space instead of going on vibes. That turned into a months-long obsession. I've now pulled together data on 3,500+ Indian D2C brands, 54,900 product listings, and 429 micro-niches, and I cross-check it against what people are actually searching for and asking for in communities (I scanned 11 Indian subreddits again just this week).

Two things killed the whey protein plan:

1. It's one of the most crowded niches in the country. 19 brands in my set have a real presence in it. The only niches more packed are gold jewellery (25) and ayurvedic face care (24). They'd have been the 20th lookalike fighting on ad spend.
2. Of the 429 niches I track, 228 have three or fewer brands. Everyone piles into the same handful of categories while the long tail sits wide open.

So I flipped the question from "what do I want to sell" to "where is demand loud and supply thin." A few gaps that keep showing up:

- Affordable dupes of international lip products (gloss, tint, liner). People ask for this constantly. No Indian D2C brand really owns it.

- Minoxidil, demystified. Huge, confused demand. Does it work, when do results show, what's the shedding phase. Whoever owns trust and education here wins before they sell a single bottle.

- Conditioners and hair masks for dry, damaged hair that actually work and don't cost 2k. Endless "recommend me something reliable" with no clear winner.

- Gentle exfoliants for sensitive skin. Steady demand, but most launches chase strength and actives, not gentleness.

The pattern across all of them: 120 brands in my data have search interest up more than 15% right now, and almost none of them are in the crowded categories. The momentum is in the gaps, not the obvious niches.

And almost none of these brands are VC-backed. Most are bootstrapped, which means you can't out-spend your way in. The edge is picking the right space, not the loudest one.

Curious what gaps you've run into, whether you're building or just shopping. And if it's useful, I'm happy to share how I pulled this together, or pull the numbers for whatever category you're looking at. Comment to get access.