Get the inside scoop on jobs (video app)

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http://hello.lanternapp.co I care a lot about people finding fulfilling work. 71% of people are disengaged at work. So much more good could be done in the world if the right people are in jobs they are excited about it. It's possibly the most leveraged problem out there. Obviously, there are many reasons why people are disengaged. I am particularly interested in the difficulties that exist with 1) knowing what jobs are out there, 2) being to understand what they are ACTUALLY like. If you think about it, it's very hard to answer these questions. Everyone here probably remembers going to useless careers' fairs and suchlike. The best way to learn about jobs is to talk to the people that do them. This is hard today - first of, we don't even know the breadth of jobs that exist, and secondly we most likely don't know anyone in each role. Lantern (my app) aims to fix both of these. It's a video app for authentic discussions about work. http://hello.lanternapp.co I'd love any thoughts and feedback. For those you who are hiring, this is a great way to get an authentic voice out about your company. You can direct potential candidates to lanternapp.co/search?q=YOUR_COMPANY to hear directly from your current employees.

Visit product View on Hacker NewsMay 13, 2015

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, ide · Missing: https docs, just released, lua

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% 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

21%21% 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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