Idea: An assistant that keeps following a topic for you — not another search box

This is still just an idea and I'm trying to figure out if it's worth building. The concept is less "ask a question, get an answer" and more "tell it what to watch, and it keeps watching."

 

The idea, concretely:

  • You put’d a topic or an entity on a watchlist (a company, a person, a conflict). It would track it over time and surface the newest development — plus how much the wider world is talking about it (how many sources, picking up speed or dying down).
  • It would tell you what changed since your last briefing — "3 new sources picked this up, the story grew ~50% in the last 2 hours" — instead of dumping the same headlines again.
  • It would learn what you actually open/read and weight your feed accordingly, so the digest gets less annoying over time, not more.
  • Source transparency: every source would have a reputation score (based on various parameters) you can see — and every story would show how many independent sources corroborated it.
  • No sponsors deciding what surfaces. I'd make it a paid product so I don't have to sell your attention — and I'd keep the free tier sponsor-free too. The feed is never for sale.

Before I build more, the things I genuinely want to know:

For people who track a specific thing for work (a stock, a regulation, a region) — what would make a "what changed since last time" briefing genuinely trustworthy instead of just noise?

Is per-topic tracking something you'd actually pay for — and would you pay for tracking one thing, or only once you're following 5+?

Honestly: is this a real problem for you, or a nice-to-have you'd never open twice?

If this sounds like something you'd use, DM me — I'll line up early Access and give you a paid tier for free.

reddit.com
u/NewGameIdeas — 6 days ago

Idea: A research platform that doesn't suck

So I'm building something because I think internet became infested with clikbait sites and useless or low quality info.

Basically: you search something you wanna learn about, and instead of getting 100 random links, you get actual summaries from research papers and news sources - like a friend who already read everything and is telling you the important bits.

Two main things:

Filtered results - you ask about something specific, it finds the good stuff and orderes them in a way you like.

Daily digest - personalized news/research feed that lands in your email (learns what you actually care about based on what you click/read/your favorites list)

The thing is, I still don't know:

  • How do I make these email digests actually useful instead of annoying?
  • What would people actually pay for here? For summarization, filtered results or something else? Is my app solves a real problem or it is just a tool nobody needs?
  • How do i make it more useful?

Any idea or help is appriciated. If you want more info or share your ideas privately you can also DM me.

reddit.com
u/NewGameIdeas — 9 days ago
▲ 2 r/Startup_Ideas+1 crossposts

A tool idea to reduce information overload when searching online — would this be useful?

I have an idea and I’m curious how it sounds from the outside.

Hi everyone, I’ve been thinking about this for a while and wanted to get some honest opinions.

The problem I see is that finding good information online is getting harder. For many searches, you end up with a lot of low-quality content, SEO-heavy articles, or results that aren’t really relevant.

So I’ve been thinking about a tool that tries to organize this a bit better.

The basic idea is: When a user searches for something, the system collects content from different sources and re-ranks it based on relevance and quality, aiming to show more useful results first.

Roughly how it would work:

  • Collect articles and news related to the search query
  • Compare titles and content to estimate how relevant they are
  • Rank results based on that relevance score

Some planned features:

  • Ability to scan a large number of articles/news in a short time
  • Sorting results by filters like date and “trust score”
  • Grouping content by topic (sports, finance, tech, etc.)
  • Summarizing articles and showing key points
  • Saving articles for later
  • Personalization based on user preferences (favorite sources, blocked sites, etc.)

There are also some challenges:

  • Performance issues when processing large amounts of data
  • Possible mistakes in summarization/classification
  • Increasing API costs

For monetization, I was thinking about a subscription model (free / plus / premium).

Is there anyone here who would actually use something like this? And do you think this approach solves a real problem, or is it something search engines already handle well?

Would really appreciate any thoughts or criticism.

reddit.com
u/NewGameIdeas — 2 months ago