My weekend project, Hacker's Coffee

Hacker News

Primary link: http://hackerscoffee.org I thought Coder’s Coffee (http://news.ycombinator.com/item?id=4010355) was a great idea but disagreed with a few aspects of its execution (registration solely via linkedin, iOS app only, manual approval process, brittle: crashed every time I used it on my phone). I noticed the app had stopped working entirely last week, and went to the site (http://www.coderscoffee.com) to discover that the project seems to be no more. I re-implemented the concept, minus my grievances, in about 20 free hours I had last week (and also took the opportunity to make a time-lapse video of the development process, something I’d been wanting to do for a long time: http://www.youtube.com/watch?v=zlll6SN-Ybk). This is very minimal and rough around the edges design-wise, but it has the critical features I’d been after. Just the features I wanted to make it capable of solving the problem of introducing me to other like-minded developers. I welcome observations/suggestions/improvements. At the very least, you can grab a coffee with me if you’re in New York: http://hackerscoffee.org/users/98722/pub

Visit product View on Hacker NewsMar 23, 2013

Share card

Actual performance

17points

5comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

87%87% 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.

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% 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

12%12% 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

Similar products

Uber for Coffee in Portland – a Startup Weekend project69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Uber for Coffee in Portland – a Startup Weekend project

Hacker News7

Hacker Brews Coffee58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker Brews Coffee

Hacker News2

My weekend project, DailyPag.es58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My weekend project, DailyPag.es

Hacker News69

Unicode Toy: my weekend project53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unicode Toy: my weekend project

Hacker News1

My weekend project, TrickedOutTimeline54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My weekend project, TrickedOutTimeline

Hacker News70

PHilliP, my weekend project54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PHilliP, my weekend project

Hacker News3

My Weekend Project - UptimeFu54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Weekend Project - UptimeFu

Hacker News4

My weekend project, FFUNR54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My weekend project, FFUNR

Hacker News3

My Weekend Project - DailyTopPhotos54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Weekend Project - DailyTopPhotos

Hacker News1

Docary (Weekend project)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Docary (Weekend project)

Hacker News16

Browse all products Analyze your launch