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INVESTOR BRIEF · BENGALURU · 2026
WHERE VERIFIED HUMANS MEET IN REAL VENUES
We have a hypothesis.
We need partners to prove it.

PHASE ONE · VALIDATION STAGE · AN IPNOTEC VENTURE

10
Target Venues
1,000
Target Users
90
Day Pilot
ZERO
Fake Profiles
01 · Problem

Three Problems. One Intersection.

The Network Problem

  • LinkedIn is full of bots and spray-and-pray DMs
  • You have never actually met anyone on it
  • Trust is zero. Friction is infinite.
  • No signal for who is physically nearby right now

The Venue Problem

  • Bars and cafés are empty Monday–Thursday
  • No customer database, no repeat visit data
  • Revenue spikes on weekends, nothing on weekdays
  • Owners cannot identify their most valuable regulars

The People Problem

  • Remote work eliminated spontaneous collision
  • Founders, freelancers, investors are isolated
  • Nobody knows who is sitting three tables away
  • Serendipity has no infrastructure
02 · The Insight

You Cannot Fake Being In The Same Room

"I met this person physically at this venue."

LinkedIn has profiles. Instagram has followers. JOBZ.BAR has verified co-presence. The drink is not incidental — it is the networking protocol. Physical presence is the only trust signal that cannot be manufactured.

Every Other Platform

Starts online → hopes people meet offline → trust built slowly over months → mostly ghosted → connection decays

VS
JOBZ.BAR

Starts physically present → drink in hand → 60-second onboard → live room → meaningful conversation → permanent digital record of real encounter

03 · Why Now

Five Converging Forces. This Window Is Open Now.

📉
Remote Work
Office culture eliminated daily spontaneous networking. Professionals are isolated in a way they weren't in 2019.
🏙️
Urban Isolation
Bengaluru alone has 2M+ tech professionals. They share the same cafés. They don't know each other.
📱
QR Is Mainstream
UPI and menu QRs trained Indian consumers. Scanning a code at a venue is now zero-friction behaviour.
📆
Venue Distress
Post-2020, F&B venues urgently need weekday footfall and data. We solve both with no upfront cost to them.
🤖
AI Paradox
As AI floods every screen with synthetic connection, verified human presence becomes the scarcest signal in professional life.
04 · Architecture

Three Access Tiers. One Venue-Anchored Graph.

Layer 1 · Visitor · Free

Walk In. Scan. Done.

  • QR scan at venue entrance or bar counter
  • Name · Mobile OTP · Email (30 seconds)
  • "What's your scene tonight?" — one-tap intent
  • Live room: see who's present right now
  • Session closes when you leave the venue
  • No app install required. Browser-native.
Layer 2 · Member · Phase 2

Verified. Persistent. Cross-Venue.

  • Persistent verified identity across all venues
  • Full profile: role, city, intent history
  • Cross-venue connection history and graph
  • Access to member-only events and mixers
  • IPNOTEC identity layer integration
  • Pricing to be validated in Phase 1 data
Layer 3 · Venue Partner · Phase 2

Venue Intelligence Dashboard

  • Real-time foot traffic and scene analytics
  • Anonymised professional profile of visitors
  • Event creation and job/opportunity posting
  • Repeat visit tracking and retention data
  • One SPOC per venue. Full onboarding support.
  • Pricing to be validated in Phase 1 data

Phase 1 deploys Layer 1 only. We intentionally keep it free, frictionless, and observable. We measure real human behaviour before attaching any monetisation layer to it.

05 · User Journey

The 60-Second Onboard

Walk In
Any partner venue
🚶
Scan QR
Venue-specific URL
📱
Name + OTP
~30 seconds
Scene Tonight
1-tap intent
🎯
Live Room
Who's here now
👥
Connect
Drink in hand
🥃
"What's your scene tonight?"

Not a job portal question. A human question. Resets every visit. Business on Monday. Travel on Wednesday. Parties on Friday. Same person. Different intent. No profile staleness.

06 · Differentiation

Why This Is Different

Physical Presence First
Trust anchored in reality
Every connection on JOBZ.BAR starts with two people in the same room. That co-presence timestamp is permanent, unique, and unforgeeable.
Venue-Based Identity
Location as context layer
Your JOBZ.BAR identity is built from where you actually go, not what you claim online. Venue history is character data.
Real-World Network Graph
Edges have physical weight
Connections carry metadata: venue, date, mutual co-attendees, scene intent. This is a fundamentally richer graph than follow/connect models.
Local Community Effects
City-level network density
As venues and users grow in one city, the network becomes self-reinforcing. Each new venue increases value for all existing users and vice versa.
07 · Phase 1 · 90-Day Pilot

What We Are Validating

One hypothesis. Measurable. Binary.

Will professionals who share a physical space voluntarily use a venue-based networking layer if onboarding takes less than 60 seconds? We do not assume yes. We set up conditions to find out.

MetricTargetWhy It MattersHow Measured
Pilot Venues10Diverse venue types, not just barsSigned venue agreements
Registered Users1,000Statistical significance for behavior analysisOTP-verified signups
Total Check-ins5,000Proves repeat usage, not one-time curiositySession logs per venue
Connections Made1,000Core hypothesis validation signalMutual connect actions in app
Repeat Users (3+ visits)300Retention signal. Habit formation.User session history
Venue Retention (active at Day 90)8 of 10Proves venue value, not noveltyWeekly QR scan volume
Events Hosted10Community formation signalEvent creation + attendance logs
Avg Sessions Per User5+Engagement depth metricSession frequency analytics
08 · Scenario Analysis

Best / Moderate / Worst Case at Day 90

Best Case
Users1,200+
Check-ins7,000+
Connections1,400+
Repeat Users420+
Venues Retained10/10
Events Hosted15+
Avg Sessions/User7+
Hypothesis confirmed. Immediate Phase 2 activation. Revenue layer introduced. Funding round opened at validated traction.
Moderate Case
Users700–1,000
Check-ins3,000–5,000
Connections500–1,000
Repeat Users150–300
Venues Retained6–8/10
Events Hosted5–10
Avg Sessions/User3–5
Partial validation. Identify top 3 performing venues. Run 60-day extension in those venues. Adjust onboarding friction points before Phase 2.
Worst Case
Users<300
Check-ins<1,000
Connections<150
Repeat Users<50
Venues Retained<4/10
Events Hosted<3
Avg Sessions/User<2
Product-market fit does not exist in current form. Pivot: test a curated invite-only model. Narrow to 2 venues. Rebuild community seeding strategy from scratch.

SCENARIO COMPARISON · CONNECTIONS AT DAY 90

Best Case
1,400+
Target
1,000
Moderate
700
Worst Case
<150
09 · Roadmap

Phase 1 → Phase 2: What Changes and Why

Phase 1 · Now → Day 90
Validate Behaviour
Prove that strangers with shared physical presence will voluntarily connect through a venue-based layer. No monetisation. No complexity. Maximum observability.
  • 10 Bengaluru venues. All categories: bar, café, coworking, club
  • Layer 1 only. Free. OTP-verified. Browser-native. No app install.
  • Manual operations. Founder-led venue onboarding.
  • Zero revenue targets. 100% learning targets.
  • Weekly data review. Venue health checks.
  • Community seeding: 3 strategic partner orgs send their members
  • Tech stack: simple HTML/Node.js MVP. Lean. Deployable in days.

Exit Condition for Phase 2: ≥700 users, ≥500 connections, ≥6 venues retained at Day 90. If hit → activate Phase 2. If not → extend or pivot.

Phase 2 · Q3 2026 → Q1 2027
Monetise Proven Behaviour
Once behaviour is validated, introduce monetisation in sequence. Each revenue layer only activates after the prior layer's adoption is confirmed by data.
  • Member subscription activated (pricing informed by Phase 1 data)
  • Venue partner dashboard with analytics and posting rights
  • Events marketplace: Founder Nights, Investor Mixers, Speed Networking
  • City HQ concept space: one physical command center in Bengaluru
  • Live city screen: which venues are active right now
  • IPNOTEC identity layer integration for persistent cross-city profile
  • Expand to 30+ venues. Target 5,000 members.

Phase 2 unlock requires Phase 1 exit conditions to be met. Revenue numbers, City HQ, and membership pricing are intentionally absent from Phase 1 materials. They are earned, not assumed.

PHASE 2 ACTIVATED FEATURES

FeaturePrerequisiteRevenue TypeTarget Scale
Member Subscription500+ active users in Phase 1Recurring SaaS5,000 members by Q1 2027
Venue Partner Fee8+ venues retained in Phase 1B2B monthly30+ venues by end of Phase 2
Events Marketplace10+ events in Phase 1Commission (30%)4 events/month across city
City HQ SpacePhase 1 fully completeAnchor media property1 location, Bengaluru
IPNOTEC IntegrationPhase 1 fully completeEcosystem revenueCross-city identity layer
Multi-City ExpansionPhase 2 KPIs hitFranchise modelMumbai + Hyderabad + Chennai
10 · Founder

The Person Behind The Hypothesis

BB
Bharath Bholey
Founder & CEO · IPNOTEC Corp
Ericsson India Global
~13yr
Goldman Sachs
~2yr
Cognizant
~2yr
HP / EDS / MphasiS
~3yr

Why This Founder For This Problem

  • 20+ years in IT Service and Asset Management across tier-1 global firms
  • MBA from MAHE (Manipal) — intentional career reinvestment, not a gap
  • DPIIT-registered StartupIndia-recognised founder across two active ventures
  • Built CLUBICLES LLP: India's first hyperlocal co-working aggregator
  • Built IPNOTEC Corp: identity-linked internet and networking platform
  • Technology partnership with Gowtham Cloud Solutions — CTO in seat

The Unfair Advantage

  • Personally lived the problem: 20+ years of professional networking across cities
  • IPNOTEC ecosystem provides the identity infrastructure JOBZ.BAR runs on
  • CLUBICLES relationship network is the first pipeline of venue and coworking partners
  • Existing tech partnership means engineering capacity is in place, not pending
  • Community-building obsession predates the company — this is not a new interest
11 · The Ask

What We Need To Validate JOBZ.BAR

We are not asking you to believe this will work.
We are asking you to help us find out.

Venue Partners
10
Pilot venues in Bengaluru. QR placement at entrance or bar counter. 90-day commitment. Zero upfront cost to venue.
Early Members
1,000
Founders, freelancers, investors, remote workers. Sourced via community partner organisations. Not cold traffic.
Strategic Partners
3
1 technical partner · 1 operations lead · 1 community manager. Sweat equity or nominal engagement during pilot.
Validation Capital
₹20L
Seed validation round. 6–9 month runway. Bengaluru only. No scale spend until data validates scale.

USE OF ₹20L VALIDATION CAPITAL

Product Dev
₹7L · 35%
Operations
₹5L · 25%
Community
₹4L · 20%
Legal + Buffer
₹4L · 20%
The Validation Goal
Prove that physical presence can become
the next professional social graph.
1,000+
Users
300+
Repeat Users
1,000+
Connections Made
First MVP · Live Now · Experience The Emulation
jb-phase1.vercel.app →