Public sharing using doctape

Hacker News

Forget about filetypes when sharing files with friends and family. doctape converts all common filetypes to a web-ready/mobile format, embedded in a responsive design. http://blog.doctape.com/public-sharing-in-doctape http://blog.doctape.com/list-of-file-types-doctape-converts-for-you-51043 Having a filetype that doesn't play on your iPhone/iPad? There's an app for this! http://itunes.apple.com/de/app/doctape/id506024516 Please let us know what filetypes you are missing over here: https://doctape.uservoice.com/forums/83283-general

Visit product View on Hacker NewsJul 20, 2012

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Actual performance

6points

2comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, user, using · Missing: mac, agents, macos

72%72% 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.

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

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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