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Find and Post interesting activities around the world

Hacker News

Find and Post interesting activities around the world

www.tellstreet.com Please give your honest opinion of the product. We were working on tellStreet for few months. Our IOS app is ready and is waiting for Apple's blessing. TellStreet shows you all the activities(not big events, but small quick events) happening right now or in the past/future at any location. You are looking for that extra player to join your game in the park now? for a buddy to play video games at home? You found an awesome deal in a local store and want to tell others about it? You want to quickly pull python experts around to hack a weekend project? What ever be the case, tell others what you are doing and and join interesting activities around you. Finding activities is very snappy using a map interface and creating is fun too. For now, we are pulling data from meetup to get you started. Checkout and Please leave your feedback.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios · Missing: supports, reddit linkedin, podcasting
57%57% 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: apple, using · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, video, month · Missing: mobile apps, personal, entrepreneurs
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
26%26% 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 · Missing: arr, mrr, revenue
16%16% 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.

Correct prediction on native model

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