Zeer FYERS / intent / fyers

FYERS

201-500 employees·Bengaluru, India·fyers.onelink.me

Observed, not inferred · updated weekly

Buying intent

16 tracked signals | Top 15 topics are below | Operations and Engineering are carrying most of it.

15signals · 30 days
16topics tracked
83.33%attributed to a team

Attention by team

LinkedIn activity, by team

Where FYERS's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Stop-loss
Startups
Risk Management
Software Developers
App Store
Project Management
Operations
Operations to Stop-loss: no signal
High25% of team Operations to Startups: High, 25% of this team's signals
High25% of team Operations to Risk Management: High, 25% of this team's signals
Operations to Software Developers: no signal
High25% of team Operations to App Store: High, 25% of this team's signals
High25% of team Operations to Project Management: High, 25% of this team's signals
Engineering
Engineering to Stop-loss: no signal
Engineering to Startups: no signal
Engineering to Risk Management: no signal
High100% of team Engineering to Software Developers: High, 100% of this team's signals
Engineering to App Store: no signal
Engineering to Project Management: no signal
Others
High100% of team Others to Stop-loss: High, 100% of this team's signals
Others to Startups: no signal
Others to Risk Management: no signal
Others to Software Developers: no signal
Others to App Store: no signal
Others to Project Management: no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Stop-loss
LinkedIn
High volume
98%
last
7d ago
Startups
LinkedIn
High volume
98%
last
30d ago
Risk Management
LinkedIn
High volume
96%
last
25d ago
Software Developers
LinkedIn
High volume
94%
last
15d ago
App Store
LinkedIn
High volume
98%
last
30d ago
Project Management
LinkedIn
High volume
98%
last
25d ago
Agile Methodology
LinkedIn
High volume
98%
last
15d ago
Cost of Living
LinkedIn
High volume
98%
last
24d ago
Artificial Intelligence
LinkedIn
High volume
96%
last
10d ago
Product Marketing
LinkedIn
High volume
98%
last
3d ago
Software Development
LinkedIn
High volume
96%
last
7d ago
Program Management
LinkedIn
High volume
96%
last
25d ago
Hiring
LinkedIn
High volume
92%
last
10d ago
Professional Development
LinkedIn
High volume
98%
last
25d ago
Product Innovation
LinkedIn
High volume
98%
last
27d ago

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Who's active at FYERS

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others4 active
researching Software Development
in
researching Artificial Intelligence
in
Leadershipresearching Product Innovation
in
Senior ICresearching Product Marketing
in
Operations1 active
researching Program Management
in
Engineering1 active
researching Professional Development
in
Marketing1 active
VPresearching Cost of Living
in

Primary products / business lines

LinkedIn company profile

Founded in 2016, FYERS is a Bengaluru-based fin-tech startup offering a stable and reliable platform to trade efficiently in Indian stock markets. FYERS is a member of NSE, BSE, MCX, CDSL & NSDL providing an opportunity to trade in equity, futures & Options, commodities, mutual funds and more. With over 1M+ customers, it has demonstrated success in significantly empowering new-age traders and inve

Top accounts researching FYERS

names withheld on the public page

These are companies whose own people brought up FYERS unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

192 companies · 567 people are researching Stop-loss

FYERS's own team shows 1 signal on this topic. No one outside FYERS has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Startups1,268 cos · 3,839 people
  • Risk Management13,253 cos · 46,888 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching FYERS.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Marketing — 1 person; Engineering — 1 person

What's been said

public posts by FYERS's team

No public post naming FYERS has surfaced in the past year, so this is what FYERS's own team is posting about publicly — their topics, in their words.

LinkedInShark Tank India

₹300 Cr Valuation + 40% Offline Revenue + Profitable Growth = Bonkers.corner might be India’s most underrated D2C fashion business. And unlike most Gen Z brands, this one wasn’t built on hype. It was built on operational discipline. 🔁 Repost OR Follow for more such breakdowns At a time when D2C startups were burning capital to buy customers, Bonkers Corner quietly focused on: → supply chain control → inventory discipline → manufacturing margins → community-led demand Which is probably why it survived while many “hot” brands faded after the Instagram buzz. #FounderTales Founder Shubham Gupta rebuilt from a family bankruptcy in 2011 to building a ₹300Cr streetwear brand. And interestingly, the business didn’t start with fashion ambition. It started with learning distribution, resale economics, and sourcing. #HowBonkersCornerScaled → Entered oversized streetwear before it became mainstream in India → Built strong Instagram-native brand recall → Leveraged influencers without over-engineering CAC → Invested early into in-house manufacturing → Balanced D2C velocity with offline expansion That last point matters more than most people realise. #TheNumbers → ₹100 Cr+ revenue before Shark Tank India → ₹1.5 Cr raised for 0.5% equity → ₹300 Cr implied valuation → Profitable after years of bootstrapping → ~40% revenue now coming from offline retail #TheRealShift India’s D2C market is changing. The first era rewarded: → growth at any cost → discounts → paid acquisition The next era rewards: → retention → inventory efficiency → offline distribution → operational control And Bonkers Corner seems to understand this transition extremely well. #WhatMostFashionBrandsMiss Streetwear looks creative from the outside. But the winners are usually supply-chain businesses underneath. Because fashion margins disappear very quickly when: → inventory turns slow down → return rates rise → trends move faster than production cycles → offline expansion gets expensive Which is why profitable fashion brands are actually very rare. #MyView Most D2C founders think branding creates defensibility. But over time, operations become the brand. Consumers may discover you through aesthetics. But scale only happens through consistency, availability, and margin discipline. Bonkers Corner understood that early. And maybe that’s the real lesson here: - The next generation of successful D2C brands won’t look like startup experiments. - They’ll look like boringly efficient businesses disguised as culture brands. 🔁 Repost OR Follow for more such breakdowns on startups, founders, business models, and industry shifts.

May 2026
LinkedInArtificial Intelligence

5L Users + ₹2.4 Cr Earnings + 1 Platform = TimbuckDo Organises India’s Student Economy 🔁 Repost OR Follow for more such breakdowns. India’s student hustle is massive but deeply unstructured. Timbuckdo is trying to fix that by combining earning, saving, and growth into one system. #FounderTales Founded in 2022 by Mythri Kumar , later joined by Apoorv Sharma Prasad , Timbuckdo is built from lived experience, not theory. Their thesis? India’s students don’t lack ambition. They lack trusted infrastructure to earn, save, and grow while still in college. #HowItStarted → Verified part-time gigs for students → QR-based offline discounts at stores → AI tools for productivity + income planning → KYC-verified student + employer ecosystem #TheNumbers → 5L+ registered students → ₹2.4 Cr earned by students in a month → ₹2.2 Cr projected FY26 revenue → ₹7.3 Cr total funding raised #WhatChanged → Gen Z wants income + flexibility, not rigid internships → Student spending power (~$34B market) is rising → Offline + online commerce is merging #IndustryWaves → Rise of micro-gig economy → Student-first fintech + commerce layers emerging → AI becoming a career co-pilot #BarriersToBreak → Trust in gig quality + employers → Balancing earnings with academics → Scaling hyperlocal supply #MyView Most platforms target students as consumers. Timbuckdo is targeting them as economic participants (that’s the bigger shift). If they execute well, this could evolve from a gig marketplace into the default financial + commerce layer for India’s student population. The real opportunity isn’t just helping students earn. It’s owning the ecosystem around how Gen Z works, spends, learns, and upgrades itself. 🔁 Repost OR Follow for more such insights on startups, founders, business strategies, acquisitions, company breakdowns and industry shifts.

May 2026
LinkedInArtificial Intelligence

You can’t Win in AI Search with Weak SEO Fundamentals. Everyone is chasing GEO right now. But almost no one is talking about what actually powers it. Here’s the reality: AI doesn’t create authority. It detects it. And if your SEO foundation is weak… you simply don’t exist in AI search. What breaks in AI Search (that SEO already warned you about): 1. Content that doesn’t answer = invisible to AI If your page isn’t clearly solving a query, there’s nothing to extract. 2. Poor structure = ignored by machines Unstructured content isn’t just bad UX — it’s unreadable for AI systems. 3. Weak authority = zero trust signals No mentions, no links, no brand presence → no inclusion in AI answers. 4. Surface-level coverage = no topical ownership If you don’t go deep, you don’t get picked. What actually works (and always has): Topical authority (not random blogs) Strong internal linking (context matters) Depth over volume (coverage > content count) Brand signals across the web (not just your site) The shift most people are missing: GEO is not a replacement. It’s a filter. It exposes weak SEO faster than ever. The real advantage in AI Search: The winners won’t be the ones experimenting with every new tactic. They’ll be the ones who: - Built strong SEO foundations early - Structured content for machine understanding - And adapted their strategy for AI-driven discovery #AEO #GEO #SEO

Apr 2026

About this data. FYERS (fyers.onelink.me). Department attribution is 83.33%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries