AskedFor: Feature Parking Lot with One-Click User Validation
Solo builders spend weeks on features and UX improvements nobody asked for, only discovering post-launch that users only need the core functionality.
Is the problem real?
Solo builders spend weeks adding features and UX improvements based on personal assumptions of value, only to discover via user feedback that customers only need the core basic functionality.
EVIDENCE
i spent 3 weeks building features nobody asked for and one user call changed everything!!!
i spent 3 weeks building features nobody asked for and one user call changed everything!!!
The rule that helped me is: if I can’t name the person who asked for the feature, it goes into the parking lot
commentBeen there. The rule that helped me is: if I can’t name the person who asked for the feature, it goes into the parking lot, not the sprint.
that “building what feels productive vs what’s actually useful” trap is so real
commentthat “building what feels productive vs what’s actually useful” trap is so real. easy to stay busy, harder to face feedback early
Who feels this pain?
TARGET USERS
Solo developers and indie hackers shipping MVPs who waste weeks building unrequested features and UX polish based on personal assumptions.
Context
Current Workarounds
Where's the gap?
EXISTING SOLUTION GAPS
OPPORTUNITY & VALUE
Multiple posts and comments confirm repeated 2-3 week wasted efforts on unvalidated features and UX work.
Ultra-minimal for solo builders focused exclusively on pre-build validation, unlike heavy PM tools built for teams.
A lightweight web app where builders log every feature idea, tag it with 'asked by' (or parking lot), send one-click validation polls to early users, and get scored demand signals before writing any code.
How does it make money?
MONETIZATION
Model
Builders already lose 2-3 weeks per misbuilt feature (multiple quotes confirm 3 weeks wasted); $19/mo is trivial compared to time saved and faster path to paying customers.
How do you ship it?
MVP PLAN
“Ship only features real users asked for, in half the time.”
A lightweight web app where builders log every feature idea, tag it with 'asked by' (or parking lot), send one-click validation polls to early users, and get scored demand signals before writing any code.
Core Features
Weekly Roadmap
- •Build feature idea capture form with 'asked by' field
- •Implement basic parking lot list view
- •Add simple demand status tags
- •Create poll generation from feature idea
- •Email/SMS delivery of validation questions
- •Basic response dashboard with yes/no scores
- •GitHub issues import/export for parking lot
- •Demand scoring algorithm
- •Test with 3 solo builder beta users
- •Stripe integration for $19/mo plans
- •Landing page with waitlist conversion
- •Post on r/indiehackers and #buildinpublic
Launch on r/indiehackers, Indie Hackers site, and X #buildinpublic communities with builder case studies.
RISKS & ASSUMPTIONS
Top Risks
Solo founders may still default to building what feels productive instead of checking the tool.
Very early builders often have few or no real users to poll, limiting validation value.
Users may ignore or give shallow feedback on poll requests.
API changes could break the parking lot sync feature.
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 opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 9/10 against 4 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.
Why this matters for SaaS founders
It sits at the intersection of "automation", "devtools", "feature-management", 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
Frequently asked questions
Is "AskedFor: Feature Parking Lot with One-Click User Validation" 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 automation?
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.
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.