Hooli – collaborate with your team in one live document

Hacker News

Link: http://hooli.io There are a gazillion collaboration tools out there. Why build a new one? I use Trello/Hipchat/Github-issues in my workflow on a daily basis. I have tried a lot more tools. Most of the tools try to do too many things and are not friendly on mobile devices. Hooli takes the simplicity of a tweet message to make actionable discussions that can be tracked in one live document. We have been using it extensively for taking meeting notes, managing our scrums. It fits nicely with our workflow of Trello -- which we use for tracking weekly/monthly projects and Hipchat -- which is pretty nice for keeping our team updated.

Visit product View on Hacker NewsSep 8, 2014

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Did not reach leaderboard

Launch Intel predictions

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

85%85% 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.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% 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

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, collaborate · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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