Our story

GPTs answer.
Creators decide.

The internet is full of information, and GPTs are full of answers. What's missing is creator judgment: lived experience, taste, and context built over years. Twin in Bio structures that judgment so people don't just get answers, they get guided decisions from creators they trust.

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the problem

Creator judgment is real, but it's not usable by software today. It's scattered across stories, reels, comments, and DMs, and gets lost at the moment people are trying to decide what to buy or do next.

where does real expertise come from?

Real expertise comes from

knowing what works for one unique individual. seeing patterns before they become trends. understanding nuance. cultural awareness. lived experience. Twin in Bio.

the shift

We're moving from a world of search and static links to a world of guided decisions.

01
Search gives you options
02
GPTs give you generic answers
03
Creators give you judgment: what actually works, for whom, and why

Information everywhere.

Judgment nowhere.

Until now.

what twin in bio is building

Twin in Bio is the Judgment Layer
for the passion economy.

We turn scattered creator knowledge into a structured system that can be reused across millions of decisions. Instead of routing people to static lists, Twin in Bio helps them choose based on creator-specific rules, preferences, and real-world outcomes.

who it's for

for creators

Your judgment stays available to all followers. We answer product questions and send people to items you recommend so your expertise scales without burnout.

for brands

Reach audiences through authentic creators, not generic ads. Sponsor a video once, and it will forever be recommended by that creator's twin.

for fans

Get guidance from your favorite creators. Ask them directly rather than relying on manipulated reviews or search results.

the mechanism

The Creator Judgment Graph

Creators don't just recommend products. They have an internal playbook:

Rules

What they recommend and when

Exclusions

What they never suggest

Variants

Which option fits which person

Feedback

Outcome signals that sharpen future guidance

Twin in Bio structures this into a Creator Judgment Graph: a proprietary knowledge layer that compounds with every interaction and is difficult to replicate from the public web.

why now

Multimodal structure is increasingly feasible

We can convert unstructured content into structured signals that software can reason over.

The rise of the agent-native interface

People don't want to search and assemble options. They want an agent who reflects the judgment of someone they trust.

Social commerce is intent-rich but conversion-poor

The highest-intent moment happens in comments and DMs, but today's workflows break at the moment of decision.

where we start

A simple, measurable wedge: smart links that convert.

Product-highlight links that open the exact item people asked about
Shoppable collections that keep the full routine available
Lightweight fit-check when needed

This solves immediate creator pain and generates outcome signals to improve the judgment graph.

why this compounds

Twin in Bio gets better with use because it captures creator-specific rules and constraints, variant decisions across contexts, and real outcome feedback from audiences.

General models learn from the public web. Twin in Bio compounds creator-owned judgment and high-fidelity interaction data the public web can't provide.

The bigger picture

A niche wedge today.
The second-brain platform tomorrow,
with APIs for brands.

Smart links are just the entry point. The same judgment graph we're building for creators today becomes the second brain for commerce, consumer market research, content, advice, and community. Everywhere expertise lives.

the roadmap

Where we're headed.

Phase 1

Utility: Smart Links

Product highlights and shoppable collections that drive confident checkout clicks.

We are here

Phase 2

Platform: The Creator Twin

A creator-configured agent that applies creator rules and preferences consistently across the long tail of audience questions.

Phase 3

Ecosystem: Brand Activation Layer

A standardized operating layer that enables brands to activate creators using performance signals, safer workflows, and better measurement.

why us

Twin in Bio is being built by a team that has shipped AI and monetization systems at scale, with deep focus on trust, safety, and measurable outcomes.

We've seen where general-purpose models break: the last mile of taste, constraints, and real-world context. We're building the judgment layer to solve it.

the team

The people behind Twin in Bio.

Jayakrishnan a.k.a JK

Co-Founder

Ex-CTO @ NeoITO (Commerce, AI & CDP consulting) and Happilee (Omnichannel marketing). Helped startups scale to $100M+ as a tech consultant. Enterprise strategy specialist.

Prateek Batla