plan.md

# bakat.org — Central Talent Database And Audition CRM

> Build `bakat.org` as the central applicant vault and casting CRM behind all audition brands, group-member funnels, and talent-search programs in the portfolio.

## Final Stack
- **Frontend/App:** Next.js
- **Reason:** This is an internal operating system with searchable records, file assets, scoring, stage tracking, and recruiter workflow
- **Support:** Supabase/Postgres or Airtable + object storage + webhook intake from public-facing brands

## Core Role
- collect every applicant from every audition funnel
- de-duplicate candidates
- keep historical submissions reusable
- score and shortlist by project fit
- expose recruiter-friendly search and filtering

## Source Brands
Examples already in scope:
- `kdistar.com`
- `stardut.com`
- `galaxysuperstar.com`
- future girlband and group auditions
- label scouting funnels

## Data Model
Each applicant record should contain:
- legal name
- stage name
- age
- city
- WhatsApp
- social handles
- source brand
- talent category
- singing sample
- dance sample
- intro video
- language ability
- visual tags
- AI score
- human review score
- status stage

## Core Views
### Intake queue
- new submissions
- duplicates
- incomplete records

### Searchable talent pool
- by city
- by genre
- by age bracket
- by performance strength
- by previous audition brand

### Stage management
- new
- screened
- shortlisted
- callback
- reserve
- rejected
- alumni

## Recruiter Workflow
1. public brand captures lead
2. webhook sends applicant to `bakat.org`
3. duplicate and quality checks run
4. AI summarizes strengths and likely fit
5. recruiter reviews and changes stage
6. candidate remains reusable for future projects

## Why This Is Valuable
Without this system, every talent brand wastes money re-collecting and re-evaluating the same people.

The actual asset is:
- long-term applicant inventory
- searchability
- callback history
- reusable prospect pool

## Monetization Value
Direct monetization can wait.

Immediate value:
- lower casting cost
- faster shortlist generation
- less duplicated work
- stronger pipeline for labels, groups, and auditions

Later monetization:
- white-label casting CRM
- premium search access for labels
- agency seats

## AI Automation
- source tagging
- duplicate detection
- sample summarization
- vocal/dance/persona classification
- callback recommendation
- rediscovery of old but relevant applicants
- rejection/follow-up drafts

## Build Roadmap
### Phase 1
- intake database
- webhook forms
- recruiter review dashboard

### Phase 2
- search and filters
- AI scoring and summaries
- callback workflow

### Phase 3
- multi-team permissions
- talent rediscovery engine
- white-label access

## Final Thesis
`bakat.org` is not a public brochure.  
It is the reusable operating system behind talent acquisition.

PREVIEW

bakat.org — Central Talent Database And Audition CRM

Build bakat.org as the central applicant vault and casting CRM behind all audition brands, group-member funnels, and talent-search programs in the portfolio.

Final Stack

Frontend/App: Next.js
Reason: This is an internal operating system with searchable records, file assets, scoring, stage tracking, and recruiter workflow
Support: Supabase/Postgres or Airtable + object storage + webhook intake from public-facing brands

Core Role

collect every applicant from every audition funnel
de-duplicate candidates
keep historical submissions reusable
score and shortlist by project fit
expose recruiter-friendly search and filtering

Source Brands

Examples already in scope:

kdistar.com
stardut.com
galaxysuperstar.com
future girlband and group auditions
label scouting funnels

Data Model

Each applicant record should contain:

legal name
stage name
age
city
WhatsApp
social handles
source brand
talent category
singing sample
dance sample
intro video
language ability
visual tags
AI score
human review score
status stage

Core Views

Intake queue

new submissions
duplicates
incomplete records

Searchable talent pool

by city
by genre
by age bracket
by performance strength
by previous audition brand

Stage management

new
screened
shortlisted
callback
reserve
rejected
alumni

Recruiter Workflow

public brand captures lead
webhook sends applicant to bakat.org
duplicate and quality checks run
AI summarizes strengths and likely fit
recruiter reviews and changes stage
candidate remains reusable for future projects

Why This Is Valuable

Without this system, every talent brand wastes money re-collecting and re-evaluating the same people.

The actual asset is:

long-term applicant inventory
searchability
callback history
reusable prospect pool

Monetization Value

Direct monetization can wait.

Immediate value:

lower casting cost
faster shortlist generation
less duplicated work
stronger pipeline for labels, groups, and auditions

Later monetization:

white-label casting CRM
premium search access for labels
agency seats

AI Automation

source tagging
duplicate detection
sample summarization
vocal/dance/persona classification
callback recommendation
rediscovery of old but relevant applicants
rejection/follow-up drafts

Build Roadmap

Phase 1

intake database
webhook forms
recruiter review dashboard

Phase 2

search and filters
AI scoring and summaries
callback workflow

Phase 3

multi-team permissions
talent rediscovery engine
white-label access

Final Thesis

bakat.org is not a public brochure.
It is the reusable operating system behind talent acquisition.

AI ASSISTANT

Ask AI to research, improve, or generate content.

Try: "Research competitors for this niche"

Actions