Personalized technology news aggregator

Hacker News

http://techwatching.com TechWatching is a technology news aggregator. Every story is tagged based on its content (i.e.: "wearables" "android" "Microsoft" etc.), and you can sign in to TechWatching to add tags to your watch list and get a news stream tailored to your interests. Here's what it looks like personalized: http://techwatching.com/sample_screenshot.png Here are some sample tags: http://techwatching.com/tag/android http://techwatching.com/tag/billgates http://techwatching.com/tag/spaceindustry http://techwatching.com/tag/wearables http://techwatching.com/tag/htc Let me know your thoughts (UX? Functionality?), and thank-you for taking the time to check it out.

Visit product View on Hacker NewsNov 3, 2014

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3points

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Did not reach leaderboard

Launch Intel predictions

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

47%47% 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.

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

42%42% 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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, 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

31%31% 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

14%14% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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