Ithihāsas – a character explorer for Hindu epics, built in a few hours
Hi HN!I’ve always found it hard to explore the Mahābhārata and Rāmāyaṇa online. Most content is either long-form or scattered, and understanding a character like Karna or Bhishma usually means opening multiple tabs.I built https://www.ithihasas.in/ to solve that. It is a simple character explorer that lets you navigate the epics through people and their relationships instead of reading everything linearly.This was also an experiment with Claude CLI. I was able to put together the first version in a couple of hours. It helped a lot with generating structured content and speeding up development, but UX and data consistency still needed manual work.Would love feedback on the UX and whether this way of exploring mythology works for you.
FL score
out of 100
Verdict
high confidence
Competition
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Trend
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A simple, relationship-driven character explorer for Hindu epics to simplify understanding complex narratives.
The pain
The gap
Build angle
Strengths
- Addresses a niche but passionate audience interested in Hindu mythology.
- Innovative approach focusing on relationships rather than linear reading.
- Rapid MVP development using AI tools demonstrates technical feasibility.
Risks
- Unclear market size and monetization potential.
- UX and data consistency issues may hinder user retention.
- Niche appeal might limit growth beyond enthusiasts and scholars.
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Five lenses, one composite. How scoring works
The angle
No market research recorded for this idea yet.
Semble – Code search for agents that uses 98% fewer tokens than grep
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