Panjury (traction 170k unique in 5days). Seeking help

Hacker News

www.panjury.com High lvl pitch: Yelp meets Wikipedia meets Facebook When I argued with my friends whether Obama or Bush is more hated, none of us have the answer. Turn out there isn't a tool that can accurately track public opinion unless you count public polling (or the not so accurate social media sentiment analysis) Frustrated by this fact, I created Panjury. Our idea is actually pretty simple. You write your thought on an object, you attach a score associated with your mood, you share this with your friend and ask them to do the same. This way, we can have a fast way to get a hold on public opinion. This idea is further expanded into a full fledged project that provides third party API connectivity, analytics and more. What I need I'm currently doing this project on my own. I need someone to take the marketing load off me because I have to handle design and many other stuff. I need either a co-founder or a business partner.

Visit product View on Hacker NewsFeb 21, 2014

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

72%72% 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 · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, 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

46%46% 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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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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