Daily startup ideas from real problems

Each midnight we mine Google, Reddit, and Quora, score the top 10 problems people beg to solve, and deliver one launch-ready opportunity with the evidence attached.

Updated about 19 hours ago

Where the signals come from

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Search intelligence

Google

We track trending searches and keywords to find real problems people care about. These insights inspire fresh daily startup ideas.

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Community demand

Reddit

We explore honest discussions from founders and users to uncover pain points that turn into powerful startup ideas.

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Buyer signals

Quora

We analyze high-intent questions to discover needs and gaps that shape new daily startup ideas.

Idea of the day

AI-Powered Job Matchmaking for Healthcare & Education

Published about 19 hours ago

Massive marketPerfect timing7 live signals

Multiple users across various platforms express profound frustration with the difficulty of finding suitable employment in specialized fields, particularly within allied healthcare and education sectors. Despite evident demand and personal qualifications, job seekers consistently report a disconnect between their skills and available opportunities, leading to prolonged unemployment and disillusionment with traditional job search methods.

Develop an AI-driven platform that intelligently matches job seekers with relevant positions in healthcare and education, going beyond keyword searches to understand the nuances of roles and candidate experience. The platform will analyze job descriptions and candidate profiles to identify strong matches, offer personalized career insights, and streamline the application process, addressing the core pain point of 'hard-to-find' jobs and assisting individuals tired of the inefficient and exhausting job search grind.

Why now?

The current job market, especially in critical sectors like healthcare and education, is characterized by a persistent demand-supply gap and a struggle for qualified candidates to find their niche. This, combined with the increasing adoption of AI in professional contexts (Problem 3), presents a timely opportunity to leverage technology to solve a widespread and deeply felt user problem.

Market gap

There is a significant market gap for a specialized job matching service that addresses the specific challenges of finding roles in allied healthcare and education. Current alternatives, like generic job boards, are often too broad, leading to wasted effort and frustration for users who are actively seeking more targeted and efficient solutions.

Execution plan

Step-by-step launch map

  1. Step 1

    Step 1: Define and scrape job descriptions and candidate profiles for 10-15 common allied healthcare and education roles.

  2. Step 2

    Step 2: Develop an AI model (e.g., using embeddings and similarity scores) to match candidate skills and experience to job requirements.

  3. Step 3

    Step 3: Build a simple web interface for users to upload resumes and view AI-generated job matches.

  4. Step 4

    Step 4: Conduct outreach to relevant online communities (Reddit, LinkedIn groups) to acquire initial users.

Tech stack

Launch ready vs scale playbook

Launch ready MVP

  • Python
  • FastAPI
  • PostgreSQL
  • Scikit
  • learn
  • Transformers (for NLP)
  • React

Scale playbook

  • Kubernetes
  • AWS/GCP
  • PyTorch/TensorFlow
  • Vector Databases
  • Microservices Architecture

Startup ideas finder

Find new startup ideas faster with real customer signals.

One Startup a Day is your startup ideas finder for discovering new startup ideas without endless scrolling. We analyze live discussions across Reddit, Quora, and Google to answer the question, “how do I get startup ideas?” Each idea includes a clear problem summary, a realistic solution, and proof links so you can validate quickly.

Whether you’re exploring how to get startup ideas for your next product, or you need a steady stream of new startup ideas for a venture studio, this library keeps you focused on what customers are already asking for.

Behind the drop

“We find what people struggle with and turn it into your next startup.”

Every midnight, we scan what founders and users are talking about across Google, Reddit, and Quora. Our system finds one real problem, filters out noise, and turns it into a short, build-ready startup idea. You get the insight, angle, and starter plan, so you can launch faster, with confidence.

  • Daily scans across Google, Reddit, and Quora to find real problems
  • Daily startup ideas backed by genuine community pain points
  • Written by founders, for founders — not just AI noise

We built our first MVP from a One Startup a Day idea. Launched in 10 days, got 50 users, and real feedback from Reddit. That's when I knew these startup ideas weren't just content; it was a launch engine.

— Alex Rivera, Founder @ Launchlabs

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FAQ

Startup ideas finder questions

Quick answers to the most common questions about finding new startup ideas.

How do I get startup ideas?
Start with real customer pain. We scan Reddit, Quora, and Google conversations to surface recurring problems, then turn them into clear, buildable ideas.
What is a startup ideas finder?
A startup ideas finder is a research workflow that spots problems people actively discuss, then structures those insights into new startup ideas you can validate and ship.
How can I find new startup ideas fast?
Follow verified signals instead of guessing. Our daily pipeline highlights fresh market gaps with supporting links, so you can evaluate ideas in minutes.
Where do your startup ideas come from?
We pull signals from Google search trends, Reddit threads, and Quora questions, then synthesize them into concise opportunity briefs.
Is this free to use?
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