IDEASBERG_

INDEX / MARKETPLACE

VERDICT: MAYBEBERG SCORE 61/100

Quora for People: Expert Reputation Search Engine

A structured, searchable database of 'who's the best X in Y' recommendations scraped from social platforms and enriched with community votes, solving the problem that these high-engagement questions are asked constantly but never stored.

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01 THE IDEA

Every day on Twitter, LinkedIn, and Facebook, people ask 'who's the best fintech investor in NYC?' or 'who should I meet in Miami?' These posts generate massive engagement but the answers vanish. This business scrapes, structures, and stores these recommendations using LLMs, then builds a searchable product where you can query for top professionals by role, city, or specialty.

Monetization options include B2B subscription access (recruiters, investors, business development), featured profiles, and eventually a professional network layer. The key insight is that the data already exists as social exhaust — the business is about structured capture and intelligent surfacing rather than content creation. Network effects kick in once enough professionals claim and enrich their profiles.

02 THE NUMBERS

EXPECTED ARR

$150K – $3M

INITIAL INVESTMENT

$30K + 300h

MONTHLY BURN

$10K + 80h

AUTOMATION

7/10

COMPETITORS

7 · GROWING

SKILLS

LLM/AI development, data engineering, product design, community growth, B2B sales

03 THE VERDICT

The core insight is strong — high-engagement social questions create valuable unstructured data that no one is capturing — and LLMs make the technical execution newly feasible. However, LinkedIn's dominance in professional identity creates a distribution and trust moat that's hard to overcome, and the chicken-and-egg problem of building a useful database before having users is real. Strong bet if you start hyper-niche (one city, one sector) and prove monetization before expanding.

04 THE FIELD

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