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Show HN (take 2): A basecamp alternative (private beta)

Hacker News

Show HN (take 2): A basecamp alternative (private beta)

NOTE: This is a private beta, to create an account use invitation code "hn2" - there is only 100 invitations, so hurry up :) Hey everyone, thanks for all your feedback on http://www.ubercamp.net/ my basecamp alternative. Tech stack = angularjs + twitter bootstrap + ruby + postgres + heroku I have made lots of changes and would love you to take a look and give me some feedback. Note: click on project title to go to project view (need a better ux/visual indicator) Some of the changes are: - improved ux - better "dashboard" (still lots of work to do here) - improved milestones view - better in-app support (click question mark in bottom right and say hello) - if creating new account, a demo project is created to give you an idea of what is going on. - several bugs were killed in this release. Thanks.

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Actual performance

4points
4comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, visual, code · Missing: mac, agents, macos
88%88% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
62%62% 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: ide, io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% 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
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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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