DriftResume: Auto-Capture Task State on Interruptions for ADHD Mac Users
ADHD working memory holds only 3-4 items and gets fully wiped by interruptions like Slack pings, causing loss of progress in multi-step tasks.
Is the problem real?
ADHD working memory limitation causes loss of multi-step task progress during interruptions
EVIDENCE
Solves ADHD Working Memory without you having to actually do anything
Solves ADHD Working Memory without you having to actually do anything
Solves ADHD Working Memory without you having to actually do anything
Solves ADHD Working Memory without you having to actually do anything
Who feels this pain?
TARGET USERS
Professionals with ADHD using Mac for coding, writing or design tasks that involve 5+ steps frequently interrupted by notifications.
Context
Current Workarounds
Where's the gap?
EXISTING SOLUTION GAPS
OPPORTUNITY & VALUE
Single post with repeated distinctions from to-do/Pomodoro/focus apps; core complaint on memory wipe appears repeated.
Captures on real drift/interruptions with zero manual input or nags, Mac-native lightweight UI unlike ScreenPipe's CLI/heavy troubleshooting.
Mac menubar app that auto-detects interruptions, captures current task state via screenshot + lightweight OCR notes, and shows one-click resume view on return.
How does it make money?
MONETIZATION
Model
Users critique ScreenPipe's 'hefty fee' but imply tolerance for paid UI alternatives; sticky notes workaround signals demand for low-effort persistence over free but inadequate tools like to-do lists.
How do you ship it?
MVP PLAN
“Resume multi-step tasks exactly where interruptions wiped your memory.”
Mac menubar app that auto-detects interruptions, captures current task state via screenshot + lightweight OCR notes, and shows one-click resume view on return.
Core Features
Weekly Roadmap
- •Swift menubar app scaffold with NSStatusBar
- •Monitor NSUserNotificationCenter for Slack/email
- •Capture screenshot + basic OCR via Vision framework
- •Store timestamped states in Core Data
- •Menubar popover with image/text previews
- •One-click screenshot zoom/restore
- •Add configurable interrupt triggers
- •Battery/CPU optimizations
- •Recruit r/ADHD beta testers via DMs
- •Stripe one-time purchase integration
- •Notarization and Mac App Store prep
- •Launch post on r/ADHD and Product Hunt
Launch on r/ADHD, r/macapps, Product Hunt Mac section, and HN Show.
RISKS & ASSUMPTIONS
Top Risks
Screenshots may not reliably extract meaningful task steps across varied apps like code editors or design tools.
Always-listening for screenshots risks user paranoia over local data storage even if offline.
Over-capturing on non-disruptive alerts could annoy users and drain battery.
ADHD users may stick to free workarounds if MVP doesn't prove immediate memory relief.
Should you build it?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This idea scores in the upper-middle range of opportunities surfaced by MonetScope, with a validation sub-score of 6/10 against 4 independently sourced evidence signals. A "promising" rating usually indicates a real pain has been detected and discussed in the open, but the pipeline did not find enough signal to flag it as urgent or high-frequency. These opportunities can still produce excellent businesses — they often correspond to "boring" problems that established players have ignored — but the founder should expect a longer customer-development cycle to confirm willingness to pay.
Why this matters for Other founders
It sits at the intersection of "adhd", "automation", "desktop-app", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. Opportunities in this category typically reward founders who can describe the pain in the user's own language — both because that's the basis of effective marketing, and because it's the strongest signal that the founder has done the upfront listening. The MonetScope pipeline surfaces this category alongside other other signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "DriftResume: Auto-Capture Task State on Interruptions for ADHD Mac Users" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
How recent is the underlying data for adhd?
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most other opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.