▶
YouTube
Why users abandon onboarding
A breakdown of first-session friction. Viewers repeatedly blamed unclear next steps—not missing reminders.
Transcribed Summarized Comments
retentionproduct research
Most things are saved before you know why they matter.
Drop links, videos, PDFs, screenshots, and notes into Reentry. It understands them now and brings them back when they matter.
Built for people whose tabs have tabs.
Bookmarks depend on a future version of you who has perfect recall.
Saving for later feels responsible. But later arrives in a different project, conversation, or question - and the reason you noticed the source is usually the first thing to disappear.
Reentry keeps the source, understands what is there, and gives it more ways to return. You should not have to remember what to search for before your memory system can help.
47 tabs. 200 bookmarks. One useful idea you can’t find.
Drop it once. Let Reentry do the remembering.
The useful moment rarely looks like the saving moment. Reentry keeps the original source, understands its content, preserves your context, and helps it return without demanding a filing ritual first.
Save first. Decide later.
Keep it before the moment passes.
Drop in a link, PDF, video, screenshot, or thought. Reentry creates a source-backed card immediately—no folder, summary prompt, or filing decision required.
youtube.com/watch?v=research
Start in the middle of the thought.
Reentry already has the sources, notes, and history. Ask the half-formed question. It can find the backstory, connect what matters, and leave the result somewhere you can use again. The following are illustrative workspace scenarios.
- User: Didn’t I save something about why people abandon onboarding? Reentry: Found it. A video you saved in March argues that users leave when setup delays the promised value. The top comments keep returning to one missing thing: an obvious next step. That matches two notes in Northstar. Result: 3 sources resurfaced · Northstar canvas focused
- User: I dropped a few videos about customer interviews. What do they actually agree on? Reentry: Across the transcripts, the shared advice is to ask about past behavior before pitching a solution. One creator disagrees on scripts; viewers mostly warn that founder-led interviews invite leading questions. Result: Video transcripts compared · Viewer comments synthesized
- User: Find the hooks our competitors repeat on TikTok and in their ads. Reentry: The recurring promise is ‘ship without hiring.’ Viewers like the speed, but question quality and lock-in. I created a canvas with the examples, grouped by promise, proof, and objection. Result: Fresh research added · Examples organized on canvas
- User: What has changed since these papers were published? Reentry: I checked newer research against the papers you saved. Two findings still hold, one has weaker support, and the evidence on long-term retention is still mixed. I linked the new sources and added a note with the open questions. Result: New research linked · Markdown note created
First it remembers. Then it helps you move.
See the whole problem at once.
Keep sources, notes, and ideas in one visual field. Group what belongs together, mark the gaps, and return to the same map when the project comes back to life.
When remembering is not enough, ask it to help.
The agent can search, research, group, label, place, and write back to the workspace - while keeping the sources attached.
Bring back the angle you did not think to ask for.
Search your workspace and, when asked, research the web and supported platforms. New findings return connected to the saved material that changes what they mean.
Resurfaced from your LibraryAn old Reddit teardown changes the positioning angle.
Tutor
Reentry automatically builds guided mini-courses from your workspace, with lessons, examples, questions, and progress.
Feed
An automatically curated stream brings back old ideas, adds fresh context, and finds useful patterns across what you keep.
Local-first core
Your core workspace lives on your machine, with external AI used deliberately when configured.
The premise
Not another place to save things.
A place for saved things to become useful.
For you
For minds that collect faster than they can process.
Different jobs, one shared behavior: you notice and save useful things faster than any folder system - or human memory - can keep up.
Collect
People who notice more than they can process
Drop the article, video, screenshot, PDF, or late-night thought before the moment passes.
Remember
People with bookmark graveyards
Keep more than a URL: preserve what was there, what you noticed, and the context around it.
Reconnect
People working across too many contexts
Bring an old source back into the question, project, or decision where it finally becomes useful.
Move
People who want saved attention to compound
Let the agent research, organize, connect, and create with the context your workspace already holds.
Saving should not create another job.
Bookmarks depend on
Perfect recall.
They work only if you remember the right thing, folder, and search terms when later finally arrives.
Note apps depend on
Constant filing.
Reentry keeps sources and notes useful before you decide what deserves structure.
Generic chat ends in
Rebuilt context.
A blank chat makes you find and paste everything again. Reentry gives the agent durable context and somewhere to act.
Your workspace has a home. It isn’t a browser tab.
Core canvases, notes, Library and search data, chats, jobs, and cached assets are stored locally on your machine.
What leaves the device?
External generation, transcription, embeddings, remote research, and authenticated connectors require configured providers and bounded data exchange. Reentry does not pretend otherwise.
Before you let another app into your brain.
What is Reentry?
Reentry is a local-first visual workspace for everything you save before you know exactly why it matters. It keeps the sources and context together, helps useful material return, and gives an agent a durable workspace to act in.
What can I bring into it?
Reentry currently works with links, PDFs, videos, screenshots, images, and authored Markdown notes. Enrichment depth varies by source and by the providers or authenticated connectors you configure.
Do I need to organize everything as I save it?
No. You can drop something in before deciding where it belongs. Reentry preserves the source and its useful context, while search, suggested labels, related material, and the agent help you organize when organization becomes valuable.
How does Reentry bring saved things back?
Inside the app, saved material can return through search, related context, the Feed, Tutor, and agent conversations. Reentry does not promise perfect predictions or interrupt you outside the app at the perfect moment; it gives your past attention more ways to become discoverable and useful.
Where does the agent fit?
The agent is the progressive payoff, not a filing requirement. It can search saved context, research connected sources, inspect available posts and comments, organize canvases, create notes and a lot more - while keeping the source trail in the workspace.
Does everything stay on my device?
Core canvases, notes, Library and search data, chats, jobs, and cached assets are stored locally. External generation, transcription, embeddings, remote research, and authenticated connectors require configured providers and bounded data exchange.
What will the beta cost?
Pricing is not final. We are considering a limited founding lifetime license for the desktop and local core. Ongoing AI services cannot honestly be unlimited forever. The checkbox above only expresses interest - it is not a purchase.