Taming Info Overload in Early Startup Days: How I Built a Simple AI Tool to Actually Retain What I Read

Hey Startup Community,Like many of you, my first few months building solo meant drowning in endless PDFs, research papers, Notion dumps, and YouTube deep dives. I'd "read" for hours, highlight everything, then blank on 80% by EOD. Retention was my silent killer—great ideas in, zero execution out.Snapped last spring and decided to fix it with code instead of more Notion templates. Goal: A dead-simple tool that doesn't just summarize docs/videos but forces spaced repetition via flashcards and quizzes. No fluff, just output you can actually use.What worked:

• Lean MVP stack: Next.js on Vercel for frontend blitz (deployed in days), Supabase for auth/DB (zero backend headaches), OpenAI for the heavy lifting (prompt engineering was 90% of the magic—kept it context-aware to avoid hallucinated BS).

• Dogfooding ruthlessly: Used it daily on my own startup docs. Cut "reading" time by 70% while bumping recall from meh to solid. Best: Auto-quizzes caught my weak spots before they became project roadblocks.

• User acquisition hack: Started with my network's pain points (e.g., "How do you onboard faster without losing key insights?"). Turned those convos into micro-features, like YouTube transcript pulls.

What bombed:

• Over-engineering exports early (Anki integration sounded cool, but users just wanted copy-paste flashcards. Lesson: Ship basics first.)

• Assuming everyone hates long-form like I do—turns out some founders thrive on it. Pivoted to toggleable detail levels.

• Ignoring edge cases: Non-English docs tanked initially until I fine-tuned prompts for multilingual.

Now at ~100 users, it's shifting how I process info for my main project (a SaaS for [redacted niche]). Feels like cheating, but in a good way.What's your go-to hack for turning info firehoses into actionable fuel? Or biggest retention fail in your build? Building in public here—curious if this resonates with your chaos.