Re

Real-time photo sharing app, ProxiOrb

Hacker News

Real-time photo sharing app, ProxiOrb

Here's my multi-weekend project. Comments or suggestions are highly regarded :) Description from market: ProxiOrb is a real-time photo sharing app. Connect with your friends over bluetooth and start snapping away. The pictures you take will be automatically transmitted to whoever is connected to you at that time. Of course, you'll also receive those pictures taken by others. You are guaranteed to receive every picture taken of you :) Link: https://market.android.com/details?id=com.at.proxi&feature=search_result#?t=W251bGwsMSwyLDEsImNvbS5hdC5wcm94aSJd

Visit product View on Hacker NewsFeb 27, 2012

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

70%70% 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

26%26% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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