Group dinner planning stalls because members give unhelpful responses like 'I'm good with anything' and fail to make a timely decision.
Group dinner planning stalls because members give unhelpful responses and fail to make a timely decision.
I built a poll to get friend groups from “where should we eat?” to a decision
“I’ve seen this exact loop kill a whole evening before.”
commentI’ve seen this exact loop kill a whole evening before. Simple idea but the real test is whether people actually open the link when you send it. Does it work without everyone needing an account?
“The real bottleneck isn't voting, it's picking the restaurant list.”
commentNice, this solves a real annoyance "I'm good with anything" loops are painfully universal. A few thoughts: * **Differentiation risk:** Polls-for-group-decisions is a crowded space (there are like a dozen "should we eat here" apps). Your edge should be *speed to decision* \- no signup friction, link works instantly, results update live. If that's already true, lead with it in the pitch. * **The real bottleneck isn't voting, it's picking the restaurant list.** Half the "I'm good with anything" stalling happens *before* the poll - when someone has to suggest options in the first place. If DinePoll doesn't help with that step (auto-suggest nearby spots, pull from Google Maps, etc.), you've moved the friction, not removed it. * **Group adoption is the hard part.** One person creating a poll is easy. Getting 4 friends who are also "good with anything" to actually click a link and vote is the real test - what happens if half the group ignores it? Solid idea, worth testing - just make sure the friction you removed was the actual friction people had.
Individuals organizing group dinners who struggle to break 'I'm good with anything' loops without app download friction.
Groups getting stuck in endless loops where everyone gives passive responses and fails to decide is confirmed as a universal loop.
Eliminates the upfront brainstorming bottleneck and removes app-download/signup friction entirely for participants.
An embedded messaging bot that automatically aggregates group preferences, curates a short restaurant list based on location and vibe, and forces a quick tie-breaking vote without requiring app downloads or signups.
Users lose hours of time and emotional energy resolving dinner plans; paying a nominal $4 per event to salvage social outings and guarantee a decision is a low barrier given the frustration expressed.
“From endless group chat loops to a booked restaurant in 5 minutes.”
An embedded messaging bot that automatically aggregates group preferences, curates a short restaurant list based on location and vibe, and forces a quick tie-breaking vote without requiring app downloads or signups.
Viral organic loops in group chats, social media communities (r/socialskills, r/FoodLosAngeles), and campus networks.
Consumers expect casual social tools to be completely free, making direct monetization challenging.
Participants may ignore bot messages or voting links just like regular chat messages.
Reliance on messaging platforms like WhatsApp, iMessage, or Telegram exposes the product to API policy shifts.
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 idea scores in the upper-middle range of opportunities surfaced by MonetScope, with a validation sub-score of 8/10 against 3 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.
It sits at the intersection of "collaboration", "consumer", "mobile-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
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 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.
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.
