Project ideas from Hacker News discussions.

Attention is all you have

📝 Discussion Summary (Click to expand)

Theme 1: Algorithmic recommendation systems hijack attention, fostering addictive doomscrolling and shaping thoughts.

“Machine learning makes the doom scroll more effective/worse. That's the connection I inferred.” – recursive

Theme 2: Nostalgia for a pre‑AI, book‑centric internet and concern that modern content is low‑quality AI slop.

“I’ve started avoiding many things created in 2023 or later – you can be pretty sure writing prior to that wasn’t some AI slop someone threw together with a half‑arsed prompt.” – switchbak

Theme 3: Personal strategies to reclaim attention: disabling algorithms, using RSS, self‑hosting, focused modes, etc.

“I have followed that up with removing all algorithmical feeds from my life (I recommend News Feed Eradicator extension for that) and then setting phone to Focused mode from 9am till 2pm. It's been life changing.” – code‑blooded


🚀 Project Ideas

Generating project ideas…

FocusFeed

Summary

  • Replaces algorithmic homepages (YouTube, Twitter, Reddit, etc.) with a customizable dashboard of RSS feeds, bookmarks, and user‑chosen sources, stripping recommendations and autoplay.
  • Core value proposition: give users back intentional control over what they see, reducing doomscrolling while preserving access to the content they actually want.

Details

Key Value
Target Audience Knowledge workers, students, and anyone fighting algorithmic distraction
Core Feature Customizable feed dashboard + recommendation blocker + optional focus timers
Tech Stack Browser extension (Manifest V3) – TypeScript, React, WebExtensions APIs; sync via IndexedDB or optional Firebase backend
Difficulty Medium
Monetization Revenue-ready: Freemium (free basic blocker; $5/mo for cross‑device sync, advanced filters, and premium themes)

Notes

  • HN users praised tools like “News Feed Eradicator” and SelfControl: “I have followed that up with removing all algorithmical feeds from my life (I recommend News Feed Eradicator extension for that)” and “SelfControl lets you add 48 hrs to your blocked time repeatedly”.
  • A configurable dashboard directly addresses the desire for a “portal to human curated, absolutely non‑AI, non‑clickbait BS” while still letting users follow the sources they trust.

HumanVerified

Summary

  • Community‑powered labeling system that marks content as human‑generated, providing a search/filter layer that surfaces only verified human‑created articles, videos, and posts.
  • Core value proposition: combat AI slop and clickbait by letting users trust that what they read/watch was produced by a person, not a language model.

Details

Key Value
Target Audience Researchers, journalists, and general users wary of AI‑generated low‑quality content
Core Feature Reputation‑based verification + CAPTCHA/human‑proof challenges; API/browser extension to filter search results and feeds by “human‑verified” flag
Tech Stack Backend: Node.js/Python (PostgreSQL); Frontend: React; Verification via reCAPTCHA‑style challenges + optional web‑of‑trust reputation scores
Difficulty High (requires anti‑gaming mechanisms and community moderation)
Monetization Revenue-ready: Subscription for API access ($10/mo) and premium verification badges; free basic browsing tier

Notes-

  • Commenters expressed longing for “a portal to human curated, absolutely non‑AI, non‑clickbait BS like the very old internet” and paranoia that “most of what I'm watching… is just the product of some meat proxy … putting … half baked crap in front of my eyeballs”.
  • HumanVerified would satisfy the call for invite‑only or verification‑based spaces (“companies that verify you're a human”) while remaining open and community driven.

Intentional Reader

Summary

  • Local‑first reading‑queue app that aggregates PDFs, ePubs, saved web articles (via Pocket/Instapaper‑style import), supports highlighting, tagging, and scheduled focus sessions; syncs peer‑to‑peer for offline‑first use.
  • Core value proposition: turn scattered, addictive scrolling into deliberate, scheduled reading sessions, helping users reclaim attention for deep consumption.

Details

Key Value
Target Audience Avid readers, professionals, and anyone wanting to replace doomscrolling with intentional reading
Core Feature Unified reading list with highlights, tags, and built‑in focus timer; offline sync via CRDT (Yjs) or simple file sync
Tech Stack Electron/Tauri shell – React UI, Rust core for parsing, IndexedDB storage, Yjs for peer‑to‑peer sync
Difficulty Medium
Monetization Hobby (open‑source, optional donation‑based support)

Notes

  • Users celebrated “keeping a book on me wherever I go” and reported reading “4 books this year!” after cutting algorithmic feeds, showing a clear appetite for a tool that makes intentional reading effortless.
  • By integrating saved web content and offering focus sessions, Intentional Reader directly tackles the frustration of “infinite feed with a recommendation algorithm” and provides a practical alternative to doomscrolling.

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