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 in whatever catches your attention and move on. Reentry understands what you save, then brings it back when it can change what you are doing.Built for people who collect more than they can process.
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 need the right title, folder, or search terms before what you saved can help you.
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. Let the canvas stay messy, or group things when the picture helps. Reentry keeps the same material searchable and connected underneath, and the agent can organize it with you.
Transitions get harder when dinner runs late.
One pan. Six ingredients. Actually eaten.
The difficult window is usually 5:30.
Reentry synthesisCreated just nowAgentAcross the reel, recipe comments, and your note, the useful pattern starts before anyone is hungry.
- Start the quick dinner before the transition
- Use the reset before changing activities
Want me to schedule a 5:10 PM weekday reminder and put the routine on this canvas?
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.
Reentry searches what you saved, reaches into the web and social platforms when needed, and connects new findings to the source that changes what they mean.
Resurfaced from your LibraryAn old Reddit teardown changes the positioning angle.
Turn your workspace into a 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.
Not another place to save things.
A place for saved things to become useful.
For minds that collect faster than they can process.
Same collecting habit. A much better ending.
Without Reentry
Forgot the link you swore you would remember.
With Reentry
Reentry resurfaces the right link when it matters.
Without Reentry
Saved a two-hour video for later. Never watched it.
With Reentry
Reentry summarizes it now and brings the useful part back when it can help.
Without Reentry
Lost the screenshot under 900 other screenshots.
With Reentry
Reentry reads it and keeps its context searchable.
Without Reentry
Scattered one idea across tabs, notes, and DMs.
With Reentry
Reentry connects the pieces into one usable picture.
Without Reentry
Returned to an old project and had to start over.
With Reentry
Reentry brings back the context that mattered when you return to it.
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?
Only what the task needs.
External AI, transcription, embeddings, research, and connectors receive only the context required for the task.
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?
Bring links, webpages, PDFs, videos, screenshots, images, social posts, carousels, and Markdown notes. Reentry extracts what is inside and turns it into searchable, reusable context.
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?
Saved material can return through search, related context, Feed, Tutor, and agent conversations. You do not need to remember the exact title or where you filed it. Reentry gives useful context several ways to find its way back.
Where does the agent fit?
The agent is the progressive payoff, not a filing requirement. It can search saved context, research the web and social platforms, inspect posts and comments, create notes and canvases, group and place sources, and leave the result inside 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 may 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.