Sparks— ideas that matter

Your new smart inbox. Like, really smart.
Capture everything that sparks you — any post, note, voice dump, etc.
You choose what ideas matter. AI helps to you keep it useful.

iOS app coming soon. Join the waitlist for early access.

Catch the spark

  • Capture from anywhere — tweets, articles, YouTube podcasts, voice dumps, notes, etc.
  • Just spark it - send content link and you won't lose it anymore.
  • AI helps you to manage ideas - every spark becomes a processed unit of interest.

Data — from passive to useful

  • Any saved content is useless until you actually review it.
  • Therefore you should be able to remember and find it considering the context you have about it.
  • AI can help - it organizes structure, extracts insights, creates connections around spark, suggest actionable items.

Your data stays yours

  • Zero vendor lock-in. We don't own your sparks, we help you build them.
  • spark.md — open format for exporting your data. Export/delete your data anytime
  • Use API/MCP with your agents. Let them have access to your curated inbox.

What is a spark?

Not a bookmark, note or a link – but a unit of interest.

A spark is something that caught your attention and might deserve more of it. You can choose - invest some time, curiosity and effort into this idea, or defer it for later. It could become a hobby, a project, a skill, or just something worth remembering.

Most of the saved content rots on the graveyard of good intentions because it requires effort to be resurfaced and used. Sparks are different. Easy to capture, find and act on.

Every capture becomes structured spark.md — insights extracted, connections made, context preserved.

View the spark.md spec →
spark.md
# 💡 Rethinking how we capture ideas

**Source:** twitter.com/username · 2026-04-05

## Insights
- Most valuable ideas vanish because we don't
  capture them at the moment of inspiration
- Unstructured notes become noise without
  a system to surface them again
- Knowledge multiplies when connected
  across domains

## Actions
- [ ] Outline next chapter of research
- [ ] Connect to related sparks from last week

## Connections
→ Knowledge systems & PKM
→ Writing workflow