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Guestboard – If Slack and Facebook Events Had a Baby

Hacker News

Guestboard – If Slack and Facebook Events Had a Baby

Hey HN! Guestboard ( https://guestboard.co ) is something we've been working on for the last year or so, and are excited to be sharing it with you all. Guestboard keeps all your big group events under one roof, and includes a growing number of optional widgets to help your event, currently: • A Central message board (forum) • Shared resources (to post important links like GDocs, lineup posters, etc) • Airbnb map • Timeline/Schedule • Interactive checklist (my favorite) • Parter Deals (so you can save money on goods and services related to your specific event type) Important note: We know, and an iOS AND Android app is currently cooking in the background. :) ------ A little backstory, for those who want to read more: Out of personal frustration, we began with the mission of allowing WEDDING GUESTS to see who else is going, and be able to plan carpools, share flight deals, and more. (b/c weddings are stupid expensive for the guests, too) But we quickly saw that our beta users were using it for OTHER group events that required a bit more organization rather than "just showing up".. ..events like bachelor/bachelorette parties, camping for a music festival, group vacations, and small retreats/conferences. As a couple of 30-year-olds, we remember how FB events USED to be used - a place to invite and plan events with your real friends. But FB events has quickly become a mess of invitations from local businesses trying to drum up ticket sales. Meetup.com didn't make sense, eventbrite.com seemed more appropriate for charging admission, and ultimately, we saw a general shift to reverting back to massive email chains or group texts.. .And we hate 20-person group texts. There's still much to do, but really looking forward to your feedback and thoughts. Cheers!

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
96%96% 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: slack, user, email · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, personal, users · Missing: mobile apps, entrepreneurs, apps
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
39%39% 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 · Strong signals: users · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
15%15% 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.

Incorrect prediction on native model

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