Traditional screen time blockers use an all-or-nothing approach that forces users to block entire apps, cutting off necessary communication features (DMs) and driving them to switch to alternative doomscrolling platforms.
Existing screen time blockers take an all-or-nothing approach that forces users to block entire social media apps, which prevents them from accessing useful features like DMs, stories, or feeds, while failing to curb doomscrolling across alternative platforms.
I got tired of screen time blockers, so I removed reels from Instagram (while keeping everything else)
I got tired of screen time blockers, so I removed reels from Instagram (while keeping everything else)
Smartphone users struggling with short-form video addiction who need to stay connected via DMs and stories but want to completely excise Reels and Shorts.
Multiple instances of users stating that whole-app blocks cause them to delete the tools or switch directly to another platform like Reddit to continue doomscrolling.
Granular, feature-level blocking instead of whole-app restrictions, paired with multi-app habit tracking to prevent platform-swapping.
A mobile utility/extension framework that selectively intercepts and blocks specific application features (Reels, Shorts, Explore tabs) across multiple social apps while leaving DMs, stories, and standard feeds fully operational.
Users currently install sketchy modded apps or delete their profiles to solve this; premium utility tools like Opal successfully charge for focus, proving high willingness to pay for digital well-being.
“Kill Reels and Shorts while keeping your DMs.”
A mobile utility/extension framework that selectively intercepts and blocks specific application features (Reels, Shorts, Explore tabs) across multiple social apps while leaving DMs, stories, and standard feeds fully operational.
Launch on subreddits focused on digital detox and productivity (r/nosurf, r/getdisciplined, r/digitaltox) and launch on Product Hunt.
Apple and Google tightly restrict how apps can modify or overlay third-party apps, potentially limiting execution to Safari extensions or Android Accessibility features.
Social media platforms frequently update their application DOM or view structures, which can temporarily break feature-level blocking scripts.
Users might circumvent the tool by installing new unmonitored apps, requiring broad library support quickly.
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 memoThis opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 9/10 against 2 independently sourced evidence signals. A "strong" rating in this band typically means the pain signal is consistent and recurring across multiple discussions, but one of the three pillars (severity, willingness to pay, or competitor weakness) is somewhat softer than top-tier opportunities. Founders evaluating this should focus customer discovery on the softest pillar first — confirming the gap before committing engineering time to a build.
It sits at the intersection of "android", "browser-extension", "digital-detox", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. SaaS opportunities at this stage tend to win on the strength of their initial wedge — a single workflow that the target user runs every week, where the existing solution is either spreadsheets, a clunky incumbent feature, or a manual process they hate. The build cost is moderate; the distribution cost is everything. The MonetScope pipeline surfaces this category alongside other saas 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
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.
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 saas 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.
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.
