Wi

Wiwo – Find events happening around you. Google Maps, but for events.

Hacker News

Wiwo – Find events happening around you. Google Maps, but for events.

Hey everyone! I'm developing a map-based event discovery platform that helps people find unique and exciting events in their city or area. I imagine that it could help young locals who are searching what is to be attended in their area & tourists who are visiting and want to find what to do in the area. But before I start promoting it to the world, I need your help! One major pain point that I am trying to solve is information overload and difficulty in discovering relevant events nearby. Traditionally, people might rely on social media, local newspapers, or word-of-mouth to find events happening around them. These methods can be: Scattered: Information is spread across different sources, making it time-consuming to search. Unfiltered: Showing a large amount of events, not necessarily relevant to individual interests. Limited information: Often lacking key details like event descriptions, schedules, or ticket options. So my MVP address these issues by: Aggregating: Bringing together event information from multiple sources in one place. Personalization: Using filters and user preferences to recommend relevant events. Visualization: Displaying events on a map, allowing users to discover events based on location and proximity. Detailed information: Providing comprehensive descriptions and links to purchase tickets. I've already showed the the platform here on Hacker News once and the feedback that we've got, we've tried to implement. Some pain points then were: - The major one was that the map did not load if your AdBlocker was active (fixed now) - ESC closes the current window you just clicked to open - Different color icons for music/events - Filter by upcoming periods (next week,next month, next year) - Search now transfers you to the location of the event that you've clicked - There were only events in the US, now there are events in following countries: ("US" "CA" "IE" "GB" "AU" "NZ" "MX" "AE" "AT" "BE" "DE" "DK" "ES" "FI" "NL" "NO" "PL" "SE" "CH" "CZ" "IT" "FR" "ZA" "TR") - On mobile: Fixed bottom app bar to be more meaningful - Big improvements into the loading time of the map So I'm eager to hear your honest opinions: What works well in the platform? What needs improvement? Are there any features you'd like to see added? Maybe some of those: - Real-Time Event Popularity - How crowded an event is in real-time to help users decide where to go - Build-in resell marketplace - Option to sell a ticket that you already own if you cannot attend the event - Adding own events - Live-streaming and PPV/ Virtual Event Attendance - Personalized Event Recommendations - Create groups of people with whom to go to given event - User Reviews and Ratings - Event Reminders - Transportation Options - Weather Integration - In-App Ticket Purchasing - Gamification - Event Discovery through Images - Audio Search - Social media sharing functionality Your feedback will be invaluable in shaping the future of the platform! Peace! P.S. There is an easter egg currently on the platform. Maybe you could find it? Hint: Search there, where no one is searching and go there, where no one is going. Hint2: Do it on a PC! Play It Loud!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, reviews, users · Missing: plus, intuitive, host
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, hacker news, ide · Missing: https docs, excited, just released
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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