Tune into Craterland – The Next Generation of Local

Hacker News

Craterland is an early-stage startup, building what we like to call – “the ‘new-new’ local TV.” We're a video-sharing platform that's a unique take on traditional local TV networks. Instead of stations, old school broadcasters, and homogenized programming, we tap into the talents of untraditional content creators to deliver local news, stories, and shows that inform, entertain, and inspire the next generation of local viewers, and help creators earn money doing so. Discover stories and shows on everything local from breaking to weird — or, become a creator in your city, complete story challenges for cash and prizes, or build a following and get support through patronage from local fans. And if you're new to creating, we also offer simple creation tools and templates to help get you started and make it easy to distribute your story anywhere you want. Craterland benefits creators seeking an opportunity to monetize their content while tapping into a larger, local audience. We serve viewers with a variety of channels to tune into ranging from lifestyle to art, politics, sports, and more. If you’re in one of our 6 launch cities, you can view and engage in what local creators in your city are covering now by downloading our app in the App Store or Google Play. Or, for more information, visit our website at https://crater.land

Visit product View on Hacker NewsJul 16, 2019

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

94%94% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, new · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% 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

32%32% 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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