My

My new startup (feedback pls, happy to answer q's)

Hacker News

My new startup (feedback pls, happy to answer q's)

Hey! So with a small team I've been developing a new startup in the event planning space. We're significantly improving the way that you find and book venues for your special events (weddings, birthdays, business dinners etc...). You can refine your venue search results according to your budget, event type, venue type and more and reach out to the representative of venues with the click of a button! If you'd rather NOT read the long post then you can watch the demo video here: https://vimeo.com/137506756 You've decided to continue reading? Good on you! So for example, let's say that you're planning your wedding - you'd go to www.venuevortex.com and choose the city in which you're looking for a venue. You'll then get a bunch of results within the selected city, you can narrow down these results by using the filters on the left hand side according to your budget, capacity, event type, amenities etc... Once you've found a venue that looks promising you can hit the "More detials" button and here you can learn more about the venue, all of it's available room options and if all is well you can hit "Get In Touch". You can then send a request directly to the representative of this venue and receive a response shortly! You no longer have to call around a bunch of venues to find the right one, you can narrow down results easily according to your requirements and reach out to several venue representatives at once and await their responses giving you the options you desire, at the speed you desire. That's the gist of it, we're launching initially in Ontario, Canada. Open to feedback to make this as valuable as possible to both the venue representatives, and the event planners.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% 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: new, using, open · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · 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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