Patent Strategy Coach for Middle-Aged Startup Founders

3.00

Derivation Chain

Step 1 Weekly promotion plan for the Intellectual Property Office

→

Step 2 Lack of knowledge about patent and trademark protection procedures for career professionals in their 50s starting a business

→

Step 3 Lack of ability to conduct prior art searches independently before filing a patent application

Problem

Experienced professionals in their 50s preparing for solo entrepreneurship after retirement, when trying to protect their ideas or service names with patents and trademarks, do not know how to conduct prior art searches on KIPRIS (Korean Intellectual Property Rights Information Service) of the Korean Intellectual Property Office. If they commission a patent attorney, it costs 1.5 to 3 million KRW per case (approx. $1,125 to $2,250). If the application is rejected due to lack of prior art search, they waste application fees (460,000 KRW+ / approx. $345) and 6-12 months of time.

Solution

On the web, users enter their startup idea in natural language, and the service summarizes KIPRIS prior art search results and visualizes the existence of similar patents and trademarks. It provides a preliminary feasibility diagnosis (high/medium/low) along with step-by-step application guides and estimated costs.

Target: Individuals aged 50-60 who are about to retire or preparing for solo entrepreneurship after retirement, with 20+ years of experience in manufacturing or service industries, and no prior patent application experience.

Revenue Model: Basic prior art search: 3 times per month free. Detailed analysis report: 9,900 KRW per report (approx. $7.43). Referral fee for connecting with patent attorneys.

Ecosystem Role: Education

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

3.0/5

M Market

3.0/5

R Realizability

3.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (68%)

Tech Complexity

29.3/40

Data Availability

18.8/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (59/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

12.0/15

Solo Buildability

6.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Frontend [low] Backend [medium] AI/ML [medium]

Dashboard