Blour

Redefining information consumption

Blour is an AI-powered personalized audio platform that turns news, schedules, and your own uploads into audio briefings, so getting informed, managing tasks, and staying efficient feels effortless.

Blour product
User Challenges

The cost of information overload

Too many sources

Constantly switching between news, email, calendar, and to-dos.

Long reads are tiring

Information fatigue and scattered attention make it hard to keep going.

Wasted spare moments

Commutes and breaks are hard to turn into useful catch-up time.

Tasks slip away

Urgent emails and tasks get buried and forgotten.

Our opportunity

Reshaping information with audio

Amid information overload and fragmented attention, it's increasingly hard to reach what truly matters. Blour uses AI to pull together news, email, schedules, and uploads, turning them into personalized audio briefings, so getting informed and managing tasks feels lighter.

Competitor analysis

NotebookLM

AI doc-to-podcast tools

High-effort uploads and a study focus; weak at everyday info management.

Particle News

News AI podcast products

Trending-news focused, with limited personalization and passive listening.

Meco

Newsletter aggregators

Narrow subscription sources, with no uploads or multi-source integration.

Target users

High-density readers

Juggling heavy news, study material, and to-dos, and prone to overload and scattered focus.

Audio-content consumers

Prefer podcasts, video, or audio, and want to absorb content during commutes and workouts.

Efficiency & growth seekers

Focused on learning, news, and self-management, and eager to turn information into action.

Target users
From Information to Action

From getting informed to taking action

Blour turns information into action across five connected stages: users set their content preferences, receive a daily podcast on the home screen, get reminders and handling for their to-dos, generate personalized podcasts from their own uploads, and unlock more through a membership subscription.

Content preference setup

Content preferences
  • Swipe onboarding quickly captures preferences, lowering the barrier to start.
  • AI recommends content and integrates sources like Gmail for a personalized feed.
  • Card layouts, soft gradients, and clear CTAs make browsing efficient and relaxed.

A daily podcast on the home screen

Daily podcast
  • News, uploads, and a daily podcast live on the home screen for one seamless flow.
  • Upload files, links, and YouTube to freely generate personalized podcast content.
  • Soft gradients and an immersive player build a warm, companionable mood.

Reminders and task handling

Reminders
  • Email, to-dos, and an AI assistant unite in one flow, cutting app-switching.
  • AI drafts replies, organizes tasks, and handles subscriptions for daily efficiency.
  • Lightweight cards and a voice entry make task management intuitive and natural.

Personalized podcast generation

Podcast generation
  • Upload files, links, and YouTube to generate a personalized AI podcast in one tap.
  • Pods, favorites, notes, and topics give a space to collect and organize information.
  • Blends information intake with a personal knowledge space for a lasting companion.

Membership and settings

Membership & settings
  • Contextual upgrade prompts appear at limits to convey the value of paying.
  • Users can retune content preferences and interest weights anytime for more control.
  • Upgrade to Premium directly in Settings, with clear benefits and plans.
Reflection

Reflection

Designing Blour, I rethought the relationship between “getting information” and “efficiency tools.” Rather than a platform that just serves content, I wanted Blour to help people truly understand, organize, and act on information, so staying informed feels lighter and folds naturally into daily life. Beyond the AI features, I focused on a sense of companionship, a low-pressure interaction mood, and how audio and automation can reduce cognitive load in high-density information environments.

contact me

Email

sh835@cornell.edu

Location

Bay Area · Shanghai

LinkedIn

linkedin.com/in/lilyshiyihuang/