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Landlined ("The Onion for tech")

Hacker News

Landlined ("The Onion for tech")

Got tired of seeing certain brands of ridiculousness in Silicon Valley, so slapped together this little satire site over the weekend: http://www.landlined.com/ What works? What doesn't? Some examples: * FISA Court Strikes Down Bitcoin: “No Place for Shadowy Data Mining in Our Society (http://www.landlined.com/fisa-court-outlaws-bitcoin/) * RapGenius Shortens S1 Filing by Merging Sections (http://www.landlined.com/rap-genius-shortens-s1-filing-by-combining-sections/) * Foursquare Closes $25 million Series Armando (http://www.landlined.com/foursquare-closes-25m-series-armando/) * Nest Executive Promises Improved Threat Detection (http://www.landlined.com/nest-executive-promises-improved-threat-detection/) * Stock Photo Sharer Stockshare’s Shares Surge After Stock Shares Surge (http://www.landlined.com/stock-photo-sharer-stockshares-shares-surge-after-stock-shares-surge/)

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% 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
37%37% 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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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